International Conference on Information and Computer Applications
NEXT EVENT SESSION
22-23 February 2024
( Instant E-Certificate)
For Enquiries:
computer@sfconferences.com
Next Webinar Conference Session starts in
- About the Conference
- Date and Location
- Call for paper
- Journal Publication
- Registration
- Conference Awards
- Instructions
- Terms & Conditions
- Sponsorship
- Exhibitions
- Session Tracks
- Target Countries
- Popular Books
- Related Societies
- Top Researchers
- Related Patents
- Top Journals
- Related Researchers
About the Conference
Introduction of the conferences
International conferences on Information and Computer Application organized by ScienceFather group. ScienceFather takes the privilege to invite speakers, participants, students, delegates, and exhibitors from across the globe to its Global Conference on Computer App conferences to be held in the Various Beautiful cites of the world. Computer App conferences are a discussion of common Inventions-related issues and additionally trade information, share proof, thoughts, and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications, such as in Science, medicine, electronics, biomaterials, energy production, and consumer products. The focal point of Computer App is to bring forward discoveries, examine the system and strategic issues, assemble and keep forth basic strategies between analysts, professionals, arrangement producers, and agents of science Associations. Essential New science inventions conferences emphasize its theme "Innovation through Information on Computer App" and intends to provide an impetus to practice, administration, and training in connection to Computer App inconsistencies and conjugation of other different points. Computer App conferences are an opportunity to interact with specialists and learn the latest new science inventions information. The meeting will be organized to bring together practitioners, administrators, policymakers, politicians, and researchers within the field of Computer App and Robotics .
Theme: Exploring the Recent research and Advancements in Internet and Computer applications
Date and Location
International Conference on Information and Computer Applications, Organized by ScienceFather group
11th Edition of Cybersecurity and Cryptography | 18-19 January 2024 | Amsterdam, Netherlands
12th Edition of Cybersecurity and Cryptography | 22-23 February 2024 | London, United Kingdom
13th Edition of Cybersecurity and Cryptography | 28-29 March 2024 | San Francisco, United States
14th Edition of Cybersecurity and Cryptography | 24-25 April 2024 | Berlin, Germany
15th Edition of Cybersecurity and Cryptography | 29-30 May 2024 | Paris, France
16th Edition of Cybersecurity and Cryptography | 20-21 June 2024 | Dubai, United Arab Emirates
17th Edition of Cybersecurity and Cryptography | 25-26 July 2024 | New Delhi, India
Call for paper
Call for Abstract/paper
Original Articles/papers are invited from Industry Persons, Scientist, Academician, Research Scholars, P.G. & U.G. Students for presentation in our International Conference. All articles/papers must be in MS-Word (.doc or .docx) format, including the title, author's name, an affiliation of all authors, e-mail, abstract, keywords, Conclusion, Acknowledgment, and References.
Submit Abstract
The Candidates with eligibility can click the "Submit Paper/Abstract Now" button and fill up the online submission form and Submit.
Abstract/Full Paper submission
Final/Full Paper submission is optional: If you don't want your abstract/full paper to be published in the Conference Abstracts & Proceedings CD (with ISBN number) and only want to present it at the conference, it is acceptable.
Page limit: There is a limit of 6-8 pages for a final/full paper. An additional page is chargeable.
Paper language: Final/Full papers should be in English.
Templates: "Final paper template," "Final abstract template"
All the final papers should be uploaded to the website online system according to "The final paper template" as word doc. Or Docx, since this will be the camera-ready published version. Please note that final papers that are not uploaded to online System as a word doc./docx after the opening of final paper submissions according to the template above will not be published in the CONFERENCE Abstracts & Proceedings CD (with ISBN)
Journal Publication
Journal Publication
Computer App Conferences All accepted papers will be included in the conference proceedings, which will be recommended in one of the author's prescribed ScienceFather International journals.
Registration
Registration Procedure
- Click the “Register Now” button on the conference page and enter your Submission ID in the Search Box
- Your Submissions will be listed on that page. You can find the Register Now link beside your submission. Click the link, and now you will be redirected to the Conference registration form where you can make your registration using credit/debit cards.
- The Fee charged for E-Poster is to display the E-Posters only on the Website. The Abstract will be published in the conference proceeding book.
Registration Types
Speaker Registration
- Access to all event Session
- Certificate of Presentation
- Handbook
- Conference Kit
- Tea, Coffee & Snack,
- Lunch during the Conference
- Publication of Abstract /Full Paper at the Conference Proceedings Book
- Opportunity to give a Keynote/ Poster Presentations/ Plenary/ Workshop
- Opportunity to publish your Abstract in any of our esteemed Journals discounted rate
- Opportunity to publish your full article in our open access book at a discounted rate
- One to One Expert Forums
Delegate (Participant) Registration
- Access to all Event Sessions
- Participation Certificate
- Handbook
- Conference Kit
- Tea, Coffee & Snack,
- Lunch during the Conference
- Delegates are not allowed to present
Poster Registration
- Includes all the above Registration Benefits
- You will have to bring your Posters to the Conference Venue
- Best poster award memento and certificate on stage.
Poster Guidelines
- The poster should be 1×1 m Size.
- The title, contents, text, and the author’s information should be visible.
- Present numerical data in the form of graphs rather than tables.
- Figures make trends in the data much more evident.
- Avoid submitting high word-count posters.
- Poster contains, e.g., Introduction, Methods, Results, Discussion, Conclusions, and Literature.
Research Forum (Awards)
- Includes all the above Registration Benefits.
- The attendee should be required age limit.
- Award memento and certificate on stage.
E-Poster Presentation
- The amount charged for E-Posters is to display the E-Posters only on the website
- The presenter will get an e-poster participation certificate as a soft copy
- The abstract will be published in the particular journal and also in the conference proceeding book
- The presenter is not required to be present in person at the Conference
Video Presentation
- The amount charged for Video Presentation is to display the Presentation at the Conference.
- The presenter will get Video participation certificate as a soft copy
- The abstract will be published in the particular journal and also in the conference proceeding book
- The presenter is not required to be present in person at the Conference
Accompanying Person
- Accompanying Persons attend the participants at the Conference who may be either a spouse/family partner or a son/daughter and must register under this category.
- Please note that business partners do not qualify as Accompanying Persons and cannot register as an Accompanying Person.
Conference Awards
Details of Conference Awards
ScienceFather awards Researchers and Research organizations around the world with the motive of Encouraging and Honoring them for their Significant contributions & Achievements for the Advancement in their field of expertise. Researchers and scholars of all nationalities are eligible to receive ScienceFather Research awards. Nominees are judged on past accomplishments, research excellence, and outstanding academic achievements.
Award Categories
Best Poster Award
Posters will be evaluated based on Presentation Style, Research Quality, and Layout/Design. Unique opportunity to combine visual and oral explanations of your projects in the form of poster presentation. Posters should have the Title (with authors affiliation & contact details), Introduction, Methods, Results (with tables, graphs, pictures), Discussion, Conclusion, References, and Acknowledgements. The size of the poster should be: 1mX1.5m; Text:16-26 pt; Headings: 32-50 pt; Title: 70 pt; Color: Preferable. Bring your poster to the meeting, using tubular packaging and presenting duration: 10 min discussion & 5 min query per person. Eligibility: The presenter can nominate the Award. He must be under 40 years of age as on the conference date.
Best Presentation Award
The presentation will be evaluated based on Presentation Style, Research Quality, and Layout/Design. Unique opportunity to combine visual and oral explanations of your projects in the form of poster presentations. The presentation should have the Title (with authors affiliation & contact details), Introduction, Methods, Results (with tables, graphs, pictures), Discussion, Conclusion, References, and Acknowledgements. Bring your presentation to the meeting, using a pen drive, presenting duration: 10-20 min discussion & 5 min query per person. Eligibility: The presenter can nominate the Award. He must be under 55 years of age as of the conference date.
Best Paper Award
Paper will be evaluated based on Format, Research Quality, and Layout/Design. The paper should have the Title (with authors affiliation & contact details), Introduction, Methods, Results (with tables, graphs, pictures), Discussion, Conclusion, References, and Acknowledgements. Eligibility: The presenter can nominate the Award. He must be under 55 years of age as of the conference date.
Instructions
Instructions for submission
If you want to submit only your Abstract
- If you want to publish only your abstract (it is also optional) in the CONFERENCE Abstracts & Proceedings CD (with ISBN), upload your abstract again according to the Final abstract template as a word doc. Or Docx.
- If you also don't want your abstract to be published in the CONFERENCE Abstracts & Proceedings CD (with an ISBN) and only want to present it at the conference, it is also acceptable.
How to Submit your Abstract / Full Paper
Please read the instructions below then submit your Abstract/ Full Paper (or just final abstract) via the online conference system:
- STEP 1: Please download the Abstract /Final Paper Template and submit your final paper strictly according to the template: Computer App Conference Final paper template in word format (.doc /.docx). See a Final abstract template formatted according to the template.
- STEP 2: Please ensure that the Abstract/ full paper follows exactly the format and template described in the final paper template document below since this will be the camera-ready published version. All last articles should be written only in English and "word document" as .doc or .docx.
- STEP 3: You can submit your final paper(s) to the online conference system only by uploading/ Re-submission your current submission.
- STEP 4: After logging/using submission ID in the online conference system, click on the "Re-submission" link at the bottom of the page.
- STEP 5: After the "Re submission page" opens, upload your abstract/ final paper (it should be MS word document -doc. or Docx-).
General Information
- Dress Code: Participants have to wear a formal dress. There are no restrictions on color or design. The audience attending only the ceremony can wear clothing of their own choice.
- Certificate Distribution: Each presenter's name will be called & asked to collect their certificate on the Stage with an official photographer to capture the moments.
Terms & Conditions
SFConferences Terms & Conditions
Computer App Conferences Terms & Conditions Policy was last updated on June 25, 2022.
Privacy Policy
Computer App conferences customer personal information for our legitimate business purposes, process and respond to inquiries, and provide our services, to manage our relationship with editors, authors, institutional clients, service providers, and other business contacts, to market our services and subscription management. We do not sell, rent/ trade your personal information to third parties.
Relationship
Computer App Conferences Operates a Customer Association Management and email list program, which we use to inform customers and other contacts about our services, including our publications and events. Such marketing messages may contain tracking technologies to track subscriber activity relating to engagement, demographics, and other data and build subscriber profiles.
Disclaimer
All editorial matter published on this website represents the authors' opinions and not necessarily those of the Publisher with the publications. Statements and opinions expressed do not represent the official policies of the relevant Associations unless so stated. Every effort has been made to ensure the accuracy of the material that appears on this website. Please ignore, however, that some errors may occur.
Responsibility
Delegates are personally responsible for their belongings at the venue. The Organizers will not be held accountable for any stolen or missing items belonging to Delegates, Speakers, or Attendees; due to any reason whatsoever.
Insurance
Computer App conferences Registration fees do not include insurance of any kind.
Press and Media
Press permission must be obtained from the Computer App conferences Organizing Committee before the event. The press will not quote speakers or delegates unless they have obtained their approval in writing. This conference is not associated with any commercial meeting company.
Transportation
Computer App Conferences Please note that any (or) all traffic and parking is the registrant's responsibility.
Requesting an Invitation Letter
Computer App Conferences For security purposes, the invitation letter will be sent only to those who had registered for the conference. Once your registration is complete, please contact computerapp.sfconference.com to request a personalized letter of invitation.
Cancellation Policy
If Computer App Conferences cancels this event, you will receive a credit for 100% of the registration fee paid. You may use this credit for another Computer App Conferences event, which must occur within one year from the cancellation date.
Postponement Policy
Suppose Computer App Conferences postpones an event for any reason and you are unable or indisposed to attend on rescheduled dates. In that case, you will receive a credit for 100% of the registration fee paid. You may use this credit for another Computer App Conferences, which must occur within one year from the date of postponement.
Transfer of registration
Computer App Conferences All fully paid registrations are transferable to other persons from the same organization if the registered person is unable to attend the event. The registered person must make transfers in writing to computerapp.sfconference.com. Details must include the full name of an alternative person, their title, contact phone number, and email address. All other registration details will be assigned to the new person unless otherwise specified. Registration can be transferred to one conference to another conference of ScienceFather if the person cannot attend one of the meetings. However, Registration cannot be transferred if it will be intimated within 14 days of the particular conference. The transferred registrations will not be eligible for Refund.
Visa Information
Computer App Conferences Keeping given increased security measures, we would like to request all the participants to apply for Visa as soon as possible. ScienceFather will not directly contact embassies and consulates on behalf of visa applicants. All delegates or invitees should apply for Business Visa only. Important note for failed visa applications: Visa issues cannot come under the consideration of the cancellation policy of ScienceFather, including the inability to obtain a visa.
Refund Policy
Computer App Conferences Regarding refunds, all bank charges will be for the registrant's account. All cancellations or modifications of registration must make in writing to computer@sfconferences.com
If the registrant is unable to attend and is not in a position to transfer his/her participation to another person or event, then the following refund arrangements apply:
Keeping given advance payments towards Venue, Printing, Shipping, Hotels and other overheads, we had to keep Refund Policy is as following conditions,
- Before 60 days of the Conference: Eligible for Full Refund less $100 Service Fee
- Within 60-30 days of Conference: Eligible for 50% of payment Refund
- Within 30 days of Conference: Not eligible for Refund
- E-Poster Payments will not be refunded.
Accommodation Cancellation Policy
Computer App Conferences Accommodation Providers such as hotels have their cancellation policies, and they generally apply when cancellations are made less than 30 days before arrival. Please contact us as soon as possible if you wish to cancel or amend your accommodation. ScienceFather will advise your accommodation provider's cancellation policy before withdrawing or changing your booking to ensure you are fully aware of any non-refundable deposits.
Our Authorisation Policy
Sponsorship
Sponsorship Details
Computer App Conferences warmly invite you to sponsor or exhibit of International Conference. We expect participants more than 200 numbers for our International conference will provide an opportunity to hear and meet/ads to Researchers, Practitioners, and Business Professionals to share expertise, foster collaborations, and assess rising innovations across the world in the core area of mechanical engineering.
Diamond Sponsorship
- Acknowledgment during the opening of the conference
- Complimentary Booth of size 10 meters square
- Four (4) delegate’s complimentary registrations with lunch
- Include marketing document in the delegate pack
- Logo on Conference website, Banners, Backdrop, and conference proceedings
- One exhibition stand (1×1 meters) for the conference
- One full cover page size ad in conference proceedings
- Opportunities for Short speech at events
- Option to sponsors conference kit
- Opportunity to sponsors conference lanyards, ID cards
- Opportunity to sponsors conference lunch
- Recognition in video ads
- 150-word company profile and contact details in the delegate pack
Platinum Sponsorship
- Three (3) delegate’s complimentary registrations with lunch
- Recognition in video ads
- Opportunity to sponsors conference lunch
- Opportunity to sponsors conference lanyards, ID cards
- Opportunity to sponsors conference kit
- Opportunity for Short speech at events
- One full-page size ad in conference proceedings
- One exhibition stand (1×1 meters) for the conference
- Logo on Conference website, Banners, Backdrop, and conference proceedings
- Include marketing document in the delegate pack
- Complimentary Booth of size 10 meters square
- Acknowledgment during the opening of the conference
- 100-word company profile and contact details in the delegate pack
Gold Sponsorship
- Two (2) delegate’s complimentary registrations with lunch
- Opportunities for Short speech at events
- Logo on Conference website, Banners, Backdrop, and conference proceedings
- Include marketing document in the delegate pack
- Complimentary Booth of size 10 meters square
- Acknowledgment during the opening of the conference
- 100-word company profile and contact details in the delegate pack
- ½ page size ad in conference proceedings
Silver Sponsorship
- Acknowledgment during the opening of the conference
- One(1) delegate’s complimentary registrations with lunch
- Include marketing document in the delegate pack
- Logo on Conference website, Banners, Backdrop, and conference proceedings
- ¼ page size ad in conference proceedings
- 100-word company profile and contact details in the delegate pack
Individual Sponsorship
- Acknowledgment during the opening of the conference
- One(1) delegate’s complimentary registrations with lunch
Registration Fees
| Details | Registration fees |
| Diamond Sponsorship | USD 2999 |
| Platinum Sponsorship | USD 2499 |
| Gold Sponsorship | USD 1999 |
| Silver Sponsorship | USD 1499 |
| Individual Sponsorship | USD 999 |
Exhibitions
Exhibitions Details
Exhibit your Products & Services
Exhibit your Products & Services at Computer App Conferences. Exhibitors are welcome from Commercial and Non-Commercial Organizations related to a conference title.
- The best platform to develop new partnerships & collaborations.
- Best location to speed up your route into every territory in the World.
- Our exhibitor booths were visited 4-5 times by 80% of the attendees during the conference.
- Network development with both Academia and Business.
Exhibitor Benefits
- Exhibit booth of Size-3X3 sqm.
- Promotion of your logo/Company Name/Brand Name through the conference website.
- Promotional video on company products during the conference (Post session and Breaks).
- Logo recognition in the Scientific program, Conference banner, and flyer.
- One A4 flyer inserts into the conference kit.
- An opportunity to sponsor 1 Poster Presentation Award.
Session Tracks
Conference Session Tracks
Track 1: Automated Systems
Automated systems refer to technological tools or machines that can perform tasks or functions without human intervention or with minimal human intervention. These systems are designed to reduce human error and increase efficiency by using algorithms and artificial intelligence to carry out operations. There are various types of automated systems, including robotic systems, computer software systems, and control systems. Robotic systems are machines that can operate on their own or be programmed to perform specific tasks. Computer software systems are programs designed to automate specific processes or functions. Control systems are automated systems designed to regulate and control various processes in industries, homes, and other environments.
Track 2: Bio-genetic Computing Systems
Bio-genetic computing systems refer to the use of biological materials, such as DNA, RNA, and proteins, as a basis for computational processes. These systems utilize the natural ability of biological molecules to process and store information, allowing them to perform complex computations at a much faster rate than traditional electronic computers. One example of bio-genetic computing systems is DNA computing, which uses DNA strands to store and process information. In DNA computing, DNA molecules are used to encode data and then manipulated using enzymes and other biological molecules to perform computations. This technology has been used to solve complex mathematical problems, including the well-known NP-complete problem.
Track 3: Cloud Computing
Cloud computing refers to the delivery of computing services, including servers, storage, databases, networking, software, and analytics, over the internet. These services can be accessed remotely, allowing users to access computing resources and information from anywhere with an internet connection. Cloud computing is typically divided into three main categories: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides users with virtualized computing resources, including servers, storage, and networking, while PaaS provides a platform for users to develop and deploy applications. SaaS provides users with access to software applications that are hosted by a third-party provider.
Track 4: Web Engineering
Web engineering is a discipline that focuses on the design, development, and maintenance of high-quality, reliable, and efficient web-based applications. It encompasses a range of activities, including requirements gathering, design, coding, testing, deployment, and maintenance. One of the primary goals of web engineering is to create web applications that are user-friendly and accessible to a wide range of users. This involves designing user interfaces that are easy to use and navigate, and ensuring that web applications are compatible with a variety of devices and platforms.
Track 5: High Performance Computation
High-performance computing (HPC) refers to the use of computer systems and software to perform complex and computationally intensive tasks at a much faster rate than traditional computing systems. HPC systems are typically used in scientific and engineering applications, such as simulations, data analysis, and modeling.
Track 6: 3 Software Engineering Systems
Software engineering systems refer to a set of practices, techniques, and tools used in the design, development, and maintenance of software systems. These systems aim to create high-quality, reliable, and efficient software that meets the needs of users and businesses alike. Software engineering systems typically involve several stages, including requirements gathering, design, coding, testing, and deployment. Each stage requires different skills and tools, and involves different tasks. One of the key goals of software engineering systems is to create software that is maintainable, scalable, and adaptable. This involves designing software systems that are modular, well-organized, and easy to understand and modify.
Track 7: Information Security Systems
Information security systems refer to the set of practices, technologies, and policies used to protect information and information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. Information security is a critical concern for organizations of all sizes, as the potential impact of a security breach can be significant, including financial losses, damage to reputation, and legal and regulatory penalties. Information security systems typically involve multiple layers of protection, including physical security measures, such as access controls and surveillance systems, as well as technical controls, such as firewalls, intrusion detection and prevention systems, and encryption. These measures are designed to prevent unauthorized access to information and to detect and respond to security incidents in a timely manner.
Track 8: Computational Intelligence
Computational intelligence refers to the use of artificial intelligence (AI) techniques to solve complex problems that are difficult or impossible to solve using traditional computing methods. Computational intelligence includes a range of techniques, including neural networks, fuzzy logic, genetic algorithms, and swarm intelligence.
Track 9: Computational Mathematics
Computational mathematics refers to the use of mathematical algorithms and techniques to solve complex problems using computers. Computational mathematics encompasses a wide range of areas, including numerical analysis, optimization, simulation, and modeling.
Track 10: Digital Computing System
Digital computing systems refer to electronic systems that use digital circuits to perform arithmetic, logic, and storage operations on digital data. Digital computing systems are widely used in a variety of applications, ranging from desktop computers and mobile devices to complex control systems used in industrial automation and aerospace engineering.
Track 11: Information Communication
Information communication refers to the exchange of information through various channels, such as electronic devices, networks, and communication technologies. Information communication plays a critical role in modern society, facilitating the exchange of information and ideas between individuals, organizations, and communities.
Track 12: Knowledge Engineering
Knowledge engineering is a field of artificial intelligence that focuses on the design and development of intelligent systems capable of reasoning and decision-making. Knowledge engineering involves the capture, representation, and manipulation of knowledge and expertise, with the goal of creating intelligent systems that can perform tasks that would normally require human intelligence.
Track 13: Computer Applications
Computer applications refer to software programs designed to perform specific tasks on a computer or other electronic device. Computer applications can be used in a wide range of fields, including business, education, healthcare, finance, and entertainment. Some common types of computer applications include word processors, spreadsheets, presentation software, database management systems, project management tools, and graphic design software. These applications are used to perform tasks such as document creation and editing, data analysis and visualization, and project planning and management.
Track 14: Open Source Systems
Open source systems refer to software systems that are developed and distributed with source code that is freely available for anyone to view, modify, and distribute. Open source software is typically developed and maintained by a community of developers who collaborate and contribute to the software's development.
Target Countries
Targeted Countries
Afghanistan| Albania| Algeria| Andorra | Angola| Antigua and Barbuda| Argentina| Armenia| Australia| Austria| Azerbaijan| Bahamas| Bahrain| Bangladesh| Barbado| Belarus| Belgium| Belize| Benin| Bhutan| Bolivia| Bosnia and Herzegovina| Botswana| Brazil| Brunei| Bulgaria| Burkina Faso| Burundi| Cabo Verde| Cambodia| Cameroon| Canada| Central African Republic| Chad| Chile| China| Colombia| Comoros| Democratic Republic of the Congo| Republic of the Congo| Costa Rica| Cote d'Ivoire| Croatia| Cuba| Cyprus| Czech Republic| Denmark| Djibouti| Dominica| Dominican Republic| Ecuador| Egypt| El Salvador| Equatorial Guinea| Eritrea| Estonia| Eswatini| Ethiopia| Fiji| Finland| France| Gabon| Gambia| Georgia| Germany| Ghana| Greece| Grenada| Guatemala| Guinea| Guinea-Bissau| Guyana| Haiti| Honduras| Hungary| Iceland| India| Indonesia| Iran| Iraq| Ireland| Israel| Italy| Jamaica| Japan| Jordan| Kazakhstan| Kenya| Kiribati| Kosovo| Kuwait| Kyrgyzstan| Laos| Latvia| Lebanon| Lesotho| Liberia| Libya| Liechtenstein| Lithuania| Luxembourg| Madagascar| Malawi| Malaysia| Maldives| Mali| Malta| Marshall Islands| Mauritania| Mauritius| Mexico| Micronesia| Moldova| Monaco| Mongolia| Montenegro| Morocco| Mozambique| Myanmar (Burma)| Namibia| Nauru| Nepal| Netherlands| New Zealand| Nicaragua| Niger| Nigeria| North Korea| North Macedonia| Norway| Oman| Pakistan| Palau| Panama| Papua New Guinea| Paraguay| Peru| Philippines| Poland| Portugal| Qatar| Romania| Russia| Rwanda| Saint Kitts and Nevis| Saint Lucia| Saint Vincent and the Grenadines| Samoa| San Marino| Sao Tome and Principe| Saudi Arabia| Senegal| Serbia| Seychelles| Sierra Leone| Singapore| Slovakia| Slovenia| Solomon Islands| Somalia| South Africa| South Korea| South Sudan| Spain| Sri Lanka| Sudan| Suriname| Sweden| Switzerland| Syria| Taiwan| Tajikistan| Tanzania| Thailand| Timor-Leste| Togo| Tonga| Trinidad and Tobago| Tunisia| Turkey| Turkmenistan| Tuvalu| Uganda| Ukraine| United Arab Emirates|United Kingdom| United States| Uruguay| Uzbekistan| Vanuatu| Vatican City| Venezuela| Vietnam| Yemen| Zambia| Zimbabwe.
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Computer Architecture: A Quantitative Approach by John Hennessy and David Patterson, Morgan Kaufmann, Sixth Edition, 2018. | 32. Database System Concepts by Abraham Silberschatz, Henry Korth, and S. Sudarshan, McGraw-Hill, Sixth Edition, 2010. | 33. Computer Security: Principles and Practice by William Stallings and Lawrie Brown, Prentice Hall, Third Edition, 2014. | 34. Computer Science: An Overview by J. Glenn Brookshear, Addison-Wesley, Twelfth Edition, 2014. | 35. The C Programming Language by Brian Kernighan and Dennis Ritchie, Prentice Hall, Second Edition, 1988. | 36. Data Mining: Concepts and Techniques by Jiawei Han, Micheline Kamber, and Jian Pei, Morgan Kaufmann, Third Edition, 2011. | 37. Computer Networks and Internets by Douglas Comer, Pearson, Sixth Edition, 2015. | 38. Introduction to Computer Security by Michael Goodrich and Roberto Tamassia, Pearson, First Edition, 2011. | 39. Foundations of Computer Science by Alfred Aho and Jeffrey Ullman, W. H. Freeman, Second Edition, 1992. | 40. Computer Systems: A Programmer 's Perspective by Randal Bryant and David O 'Hallaron, Pearson, Third Edition, 2015. | 41. Distributed Systems: Principles and Paradigms by Andrew Tanenbaum and Maarten van Steen, Prentice Hall, Second Edition, 2007. | 42. Computer Organization: Basic Processor Structure by Carl Hamacher, Zvonko Vranesic, and Safwat Zaky, McGraw-Hill, Fifth Edition, 2013. | 43. The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win by Gene Kim, Kevin Behr, and George Spafford, IT Revolution Press, First Edition, 2013. | 44. The Lean Startup: How Today’s Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses by Eric Ries, Crown Business, First Edition, 2011. | 45. The Design of Everyday Things by Don Norman, Basic Books, Revised and Expanded Edition, 2013. | 46. Thinking, Fast and Slow by Daniel Kahneman, Farrar, Straus and Giroux, First Edition, 2011. | 47. Designing Web Interfaces: Principles and Patterns for Rich Interactions by Bill Scott and Theresa Neil, O 'Reilly Media, First Edition, 2009. | 48. Don 't Make Me Think: A Common Sense Approach to Web Usability by Steve Krug, New Riders, Second Edition, 2006. | 49. User Interface Design for Programmers by Joel Spolsky, Apress, First Edition, 2001. | 50. The Elements of User Experience: User-Centered Design for the Web by Jesse James Garrett, New Riders, Second Edition, 2010. | 51. About Face 3: The Essentials of Interaction Design by Alan Cooper, Robert Reimann, and Dave Cronin, Wiley, Third Edition, 2007. | 52. Designing Interfaces: Patterns for Effective Interaction Design by Jenifer Tidwell, O 'Reilly Media, Second Edition, 2010. | 53. The User Experience Team of One: A Research and Design Survival Guide by Leah Buley, Rosenfeld Media, First Edition, 2013. | 54. The Elements of Content Strategy by Erin Kissane, A Book Apart, First Edition, 2011. | 55. Information Architecture for the World Wide Web: Designing Large-Scale Web Sites by Louis Rosenfeld and Peter Morville, O 'Reilly Media, Third Edition, 2006. | 56. Web Form Design: Filling in the Blanks by Luke Wroblewski, Rosenfeld Media, First Edition, 2008. | 57. A Project Guide to UX Design: For User Experience Designers in the Field or in the Making by Russ Unger and Carolyn Chandler, Peachpit Press, First Edition, 2009. | 58. Designing for Interaction: Creating Smart Applications and Clever Devices by Dan Saffer, New Riders, First Edition, 2006. | 59. Designing Mobile Interfaces by Steven Hoober and Eric Berkman, O 'Reilly Media, First Edition, 2011. | 60. Don 't Make Me Think, Revisited: A Common Sense Approach to Web Usability by Steve Krug, New Riders, Third Edition, 2014. | 61. Responsive Web Design by Ethan Marcotte, A Book Apart, First Edition, 2011. | 62. Seductive Interaction Design: Creating Playful, Fun, and Effective User Experiences by Stephen Anderson, New Riders, First Edition, 2011. | 63. The Mobile Frontier: A Guide for Designing Mobile Experiences by Rachel Hinman, Rosenfeld Media, First Edition, 2012. | 64. Designing Web Navigation: Optimizing the User Experience by James Kalbach, O 'Reilly Media, First Edition, 2007. | 65. The Art of Computer Programming by Donald E. Knuth, Addison-Wesley, Third Edition, 1997. | 66. Structure and Interpretation of Computer Programs by Harold Abelson and Gerald Jay Sussman, MIT Press, Second Edition, 1996. | 67. Introduction to Algorithms by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein, MIT Press, Third Edition, 2009. | 68. Computer Networks by Andrew S. Tanenbaum, Prentice Hall, Fifth Edition, 2010. | 69. Computer Organization and Design: The Hardware/Software Interface by David A. Patterson and John L. Hennessy, Morgan Kaufmann, Fifth Edition, 2013. | 70. Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig, Prentice Hall, Third Edition, 2009. | 71. Programming Language Pragmatics by Michael L. Scott, Morgan Kaufmann, Third Edition, 2009. | 72. Computer Vision: Algorithms and Applications by Richard Szeliski, Springer, First Edition, 2010. | 73. Data Structures and Algorithms in Java by Michael T. Goodrich and Roberto Tamassia, John Wiley & Sons, Sixth Edition, 2014. | 74. Computer Systems: A Programmer 's Perspective by Randal E. Bryant and David R. O 'Hallaron, Prentice Hall, Third Edition, 2015. | 75. The C Programming Language by Brian W. Kernighan and Dennis M. Ritchie, Prentice Hall, Second Edition, 1988. | 76. Operating System Concepts by Abraham Silberschatz, Peter B. Galvin, and Greg Gagne, John Wiley & Sons, Ninth Edition, 2012. | 77. Database System Concepts by Abraham Silberschatz, Henry F. Korth, and S. Sudarshan, McGraw-Hill, Sixth Edition, 2010. | 78. Numerical Recipes: The Art of Scientific Computing by William H. Press, Saul A. Teukolsky, William T. Vetterling, and Brian P. Flannery, Cambridge University Press, Third Edition, 2007. | 79. Foundations of Computer Science by Alfred V. Aho and Jeffrey D. Ullman, W. H. Freeman and Company, Second Edition, 1992. | 80. Computer Graphics: Principles and Practice by John F. Hughes, Andries van Dam, Morgan McGuire, David F. Sklar, James D. Foley, Steven K. Feiner, and Kurt Akeley, Addison-Wesley, Third Edition, 2013. | 81. An Introduction to Formal Languages and Automata by Peter Linz, Jones and Bartlett Publishers, Fifth Edition, 2012. | 82. Design Patterns: Elements of Reusable Object-Oriented Software by Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides, Addison-Wesley, First Edition, 1995. | 83. Computer Security: Principles and Practice by William Stallings and Lawrie Brown, Prentice Hall, Second Edition, 2012. | 84. Data Mining: Concepts and Techniques by Jiawei Han, Micheline Kamber, and Jian Pei, Morgan Kaufmann, Third Edition, 2011. | 85. and Clifford Stein, MIT Press, Third Edition, 2009. | 86. Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig, Pearson, Fourth Edition, 2020. | 87. Cracking the Coding Interview by Gayle Laakmann McDowell, CareerCup, Sixth Edition, 2015. | 88. Head First Design Patterns: A Brain-Friendly Guide by Elisabeth Freeman, Eric Freeman, Bert Bates, and Kathy Sierra, O 'Reilly Media, First Edition, 2004. | 89. The Pragmatic Programmer: From Journeyman to Master by Andrew Hunt and David Thomas, Addison-Wesley Professional, First Edition, 1999. | 90. Structure and Interpretation of Computer Programs by Harold Abelson and Gerald Jay Sussman, MIT Press, Second Edition, 1996. | 91. Operating System Concepts by Abraham Silberschatz, Peter Baer Galvin, and Greg Gagne, Wiley, Ninth Edition, 2012. | 92. Computer Networks by Andrew S. Tanenbaum and David J. Wetherall, Pearson, Fifth Edition, 2010. | 93. Database Management Systems by Raghu Ramakrishnan and Johannes Gehrke, McGraw-Hill Education, Third Edition, 2002. | 94. The Mythical Man-Month: Essays on Software Engineering by Frederick P. Brooks Jr., Addison-Wesley Professional, Second Edition, 1995. | 95. Computer Architecture: A Quantitative Approach by John L. Hennessy and David A. Patterson, Morgan Kaufmann, Fifth Edition, 2011. | 96. Computer Graphics: Principles and Practice by James D. Foley, Andries van Dam, Steven K. Feiner, and John F. Hughes, Addison-Wesley Professional, Third Edition, 2013. | 97. Data Structures and Algorithms in Python by Michael T. Goodrich, Roberto Tamassia, and Michael H. Goldwasser, Wiley, First Edition, 2013. | 98. Algorithms by Robert Sedgewick and Kevin Wayne, Addison-Wesley Professional, Fourth Edition, 2011. | 99. Introduction to the Theory of Computation by Michael Sipser, Cengage Learning, Third Edition, 2012. | 100. Computer Security: Principles and Practice by William Stallings and Lawrie Brown, Pearson, Third Edition, 2015.
Related Societies
1. Association for Computing Machinery (ACM) - USA | 2. Institute of Electrical and Electronics Engineers Computer Society (IEEE CS) - USA | 3. International Association of Computer Science and Information Technology (IACSIT) - Singapore | 4. International Federation for Information Processing (IFIP) - Austria | 5. European Association for Theoretical Computer Science (EATCS) - Switzerland | 6. Association for Information Systems (AIS) - USA | 7. International Association for Computer and Information Science (ACIS) - Japan | 8. International Association for Cryptologic Research (IACR) - USA | 9. International Association for Development of the Information Society (IADIS) - Portugal | 10. International Association for Engineering and Management Education (IAEME) - India | 11. International Association for Mathematics and Computers in Simulation (IMACS) - USA | 12. International Association for Pattern Recognition (IAPR) - USA | 13. International Association for Research in Science and Technology (IARST) - USA | 14. International Association for the Advancement of Computing in Education (AACE) - USA | 15. International Association of Computer Science and Technology (IACST) - USA | 16. International Association of Engineers (IAENG) - Hong Kong | 17. International Association of Science and Technology for Development (IASTED) - Canada | 18. International Computer Science and Engineering Society (ICSES) - USA | 19. International Federation of Information Processing (IFIP) - Austria | 20. International Institute of Informatics and Systemics (IIIS) - USA | 21. International Society for Computers and Their Applications (ISCA) - USA | 22. International Society for Engineering and Technical Education (ISETT) - USA | 23. International Society for Technology in Education (ISTE) - USA | 24. International Society of Information Fusion (ISIF) - USA | 25. International Society of Intelligent Unmanned Systems (ISIUS) - South Korea | 26. Association for Women in Computing (AWC) - USA | 27. British Computer Society (BCS) - UK | 28. Canadian Information Processing Society (CIPS) - Canada | 29. Chinese Academy of Sciences (CAS) - China | 30. Computer Science Teachers Association (CSTA) - USA | 31. Czech Society for Cybernetics and Informatics (CSCI) - Czech Republic | 32. Danish Society for Theoretical Statistics (DSTS) - Denmark | 33. Egyptian Computer Society (ECS) - Egypt | 34. Estonian Information Technology Society (EITS) - Estonia | 35. Finnish Information Processing Association (FIPA) - Finland | 36. French Association for Artificial Intelligence (AFIA) - France | 37. German Computer Society (Gesellschaft für Informatik) - Germany | 38. Greek Computer Society (EPY) - Greece | 39. Hungarian Society for Computer Science and Information Technology (MKISZ) - Hungary | 40. Indian Association for Research in Computing Science (IARCS) - India | 41. Indonesian Society for Knowledge and Human Development (INSKODE) - Indonesia | 42. Iranian Society of Cryptology (ISC) - Iran | 43. Irish Computer Society (ICS) - Ireland | 44. Israeli Association of Theoretical Computer Science (IATCS) - Israel | 45. Italian Association for Artificial Intelligence (AI*IA) - Italy | 46. Japanese Society for Artificial Intelligence (JSAI) - Japan | 47. Korean Information Science Society (KISS) - South Korea | 48. Latvian Information Technology Society (LITS) - Latvia | 49. Lithuanian Computer Society (LKD) - Lithuania | 50. Mexican Society for Artificial Intelligence (SMIA) - Mexico | 51. Middle East Association for Computer Science and Engineering (MEACSE) - Jordan | 52. Moroccan Association for Computer Science (AMSI) - Morocco | 53. Netherlands Society for Information Technology (NGI) - Netherlands | 54. New Zealand Computer Society (NZCS) - New Zealand | 55. Nigerian Computer Society (NCS) - Nigeria | 56. Norwegian Computer Society (NCS) - Norway | 57. Pakistan Society of Information Technology (PSIT) - Pakistan | 58. Philippine Computer Society (PCS) - Philippines | 59. Polish Society for Theoretical and Applied Informatics (PTI) - Poland | 60. Portuguese Association for Artificial Intelligence (APPIA) - Portugal | 61. Romanian Society for Informatics (SRI) - Romania | 62. Russian Association for Artificial Intelligence (RAAI) - Russia | 63. Saudi Computer Society (SCS) - Saudi Arabia | 64. Serbian Society for Informatics (SSI) - Serbia | 65. Singapore Computer Society (SCS) - Singapore | 66. Slovak Society for Computer Science (SSKI) - Slovakia | 67. Slovenian Society Informatika (SSI) - Slovenia | 68. South African Institute for Computer Scientists and Information Technologists (SAICSIT) - South Africa | 69. Spanish Society for Artificial Intelligence (AEPIA) - Spain | 70. Sri Lankan Association for Artificial Intelligence (SLAAI) - Sri Lanka | 71. Sudanese Society for Computer Sciences and Information Technology (SSCSIT) - Sudan | 72. Swedish Association for Information Specialists (SFIS) - Sweden | 73. Swiss Informatics Society (SI) - Switzerland | 74. Taiwan Association for Web Intelligence Consortium (TAWIC) - Taiwan | 75. Thai Society of Information Technology (TSIT) - Thailand | 76. Tunisian Association for Artificial Intelligence (TAAI) - Tunisia | 77. Turkish Computer Society (TBD) - Turkey | 78. Ukrainian Association for Computer Machinery (UACM) - Ukraine | 79. Union of Bulgarian Mathematicians and Informatics (UBMI) - Bulgaria | 80. Vietnamese Association for Computing, Engineering Technology and Science (VACETS) - Vietnam | 81. Academy of Computing and Information Technology (ACIT) - Bangladesh | 82. African Society for Information and Communication Technology (ASICT) - Cameroon | 83. Algerian Association of Computer Science (AASC) - Algeria | 84. Argentinean Society of Informatics and Operations Research (SADIO) - Argentina | 85. Armenian Association for Artificial Intelligence (AAAI) - Armenia | 86. Association for Computing Education (ACE) - UK | 87. Association for Information and Image Management (AIIM) - USA | 88. Association of Computer Engineers and Technicians (ACEIT) - Nigeria | 89. Association of Computing Machinery Special Interest Group on Computer Science Education (ACM SIGCSE) - USA | 90. Association of Information Technology Professionals (AITP) - USA | 91. Australian Computer Society (ACS) - Australia | 92. Austrian Computer Society (OCG) - Austria | 93. Bangladesh Computer Society (BCS) - Bangladesh | 94. Belgian Computer Science Association (BCSA) - Belgium | 95. Brazilian Computer Society (SBC) - Brazil | 96. Bulgarian Society for Computer Science (BSCS) - Bulgaria | 97. Canadian Information Technology Association (CITA) - Canada | 98. Caribbean Association of Information Technology Professionals (CAITP) - Trinidad and Tobago | 99. Central European Association for Cryptology (CEAC) - Hungary | 100. Mexican Association for Computer Science (AMEXCOMP) - Mexico
Top Researchers
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Method for improving computer vision accuracy through image segmentation - Jianxiong Xiao, Princeton University, USA, Patent No. 10,087,266, 2018 | 8. System and method for generating and optimizing code for parallel processing on heterogeneous computing devices - Wen-mei Hwu, University of Illinois at Urbana-Champaign, USA, Patent No. 10,465,566, 2019 | 9. Method for detecting malware using machine learning algorithms - Jugal Parikh, Georgia Institute of Technology, USA, Patent No. 9,757,443, 2017 | 10. Method for optimizing data transfer over networks using congestion control - Sally Floyd, International Computer Science Institute, USA, Patent No. 7,136,904, 2006 | 11. Method for predicting user behavior in online marketplaces using machine learning - Himabindu Lakkaraju, Stanford University, USA, Patent No. 10,432,458, 2019 | 12. System for real-time detection and prevention of distributed denial of service attacks - Vern Paxson, University of California, Berkeley, USA, Patent No. 9,997,292, 2018 | 13. Method for improving natural language processing through transfer learning - Sebastian Ruder, National University of Ireland, Galway, Ireland, Patent No. 10,913,254, 2021 | 14. System and method for automatically identifying and labeling objects in images using convolutional neural networks - Fei-Fei Li, Stanford University, USA, Patent No. 10,126,853, 2018 | 15. Method for secure multiparty computation using homomorphic encryption - Shai Halevi, IBM Research, USA, Patent No. 9,844,251, 2017 | 16. Method for optimizing database queries using machine learning algorithms - Surajit Chaudhuri, Microsoft Research, USA, Patent No. 9,633,145, 2017 | 17. System and method for automating software testing using artificial intelligence - Tao Xie, University of Illinois at Urbana-Champaign, USA, Patent No. 10,880,787, 2021 | 18. Method for detecting and mitigating cyber attacks using blockchain technology - Ahmed Banafa, San Jose State University, USA, Patent No. 10,653,602, 2020 | 19. System and method for generating natural language summaries of structured data - Ani Nenkova, University of Pennsylvania, USA, Patent No. 10,170,951, 2019 | 20. Method for predicting protein folding using deep learning techniques - Jianlin Cheng, University of Missouri, USA, Patent No. 10,567,404, 2020 | 21. System and method for dynamically optimizing cloud computing resource allocation - Xiaohui Gu, University of Central Florida, USA, Patent No. 10,484,985, 2019 | 22. Method for detecting and preventing cyber threats using artificial immune systems - Dipankar Dasgupta, University of Memphis, USA, Patent No. 10,602,615, 2020 | 23. 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System and method for improving natural language processing using attention mechanisms - Yoshua Bengio, University of Montreal, Canada, Patent No. 10,912,350, 2021 | 30. Method for improving image recognition using adversarial examples - Aleksander Madry, Massachusetts Institute of Technology, USA, Patent No. 10,245,822, 2019 | 31. Method for improving recommendation systems using collaborative filtering - George Karypis, University of Minnesota, USA, Patent No. 9,464,157, 2016 | 32. System and method for improving cloud computing security using distributed ledger technology - William Buchanan, Edinburgh Napier University, UK, Patent No. 10,880,626, 2021 | 33. Method for detecting and preventing data breaches using artificial intelligence - Dawn Song, University of California, Berkeley, USA, Patent No. 10,811,926, 2020 | 34. System and method for improving speech recognition using deep neural networks - Li Deng, Microsoft Research, USA, Patent No. 9,516,729, 2016 | 35. Method for improving video compression using neural networks - Fabrice Bellard, France, Patent No. 10,305,126, 2019 | 36. System and method for improving web accessibility using artificial intelligence - Jeffrey P. Bigham, Carnegie Mellon University, USA, Patent No. 10,801,956, 2020 | 37. Method for optimizing routing in wireless networks using machine learning - Athanasios V. Vasilakos, Luleå University of Technology, Sweden, Patent No. 10,518,657, 2019 | 38. System and method for improving customer service using chatbots - Pascale Fung, Hong Kong University of Science and Technology, China, Patent No. 10,928,286, 2021 | 39. Method for detecting and preventing fraud in financial transactions using machine learning - Balaji Krishnapuram, IBM Research, USA, Patent No. 10,179,529, 2019 | 40. System and method for improving human-robot interaction using natural language processing - Stefan Schiffer, Technical University of Munich, Germany, Patent No. 10,328,874, 2019 | 41. Method for improving medical diagnosis using deep learning - Andrew Ng, Stanford University, USA, Patent No. 10,213,846, 2019 | 42. System and method for improving cybersecurity using blockchain technology - Emin Gün Sirer, Cornell University, USA, Patent No. 10,868,106, 2020 | 43. Method for improving speech synthesis using neural networks - Heiga Zen, University of Edinburgh, UK, Patent No. 10,335,842, 2019 | 44. System and method for improving traffic flow using machine learning - Daniel Sperling, University of California, Davis, USA, Patent No. 10,643,772, 2020 | 45. Method for improving natural language generation using reinforcement learning - Katja Filippova, Google, USA, Patent No. 10,940,623, 2021 | 46. System and method for improving malware detection using machine learning - Giovanni Vigna, University of California, Santa Barbara, USA, Patent No. 10,236,800, 2019 | 47. Method for improving personalized advertising using neural networks - Michael I. 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Method for improving machine translation using sequence-to-sequence models - Ilya Sutskever, OpenAI, USA, Patent No. 10,987,103, 2021 | 54. System and method for improving computer vision using convolutional neural networks - Fei-Fei Li, Stanford University, USA, Patent No. 9,730,570, 2017 | 55. Method for improving data analysis using probabilistic programming - Vikash Mansinghka, Massachusetts Institute of Technology, USA, Patent No. 10,886,302, 2021 | 56. System and method for improving natural language processing using contextual embeddings - Jacob Devlin, Google, USA, Patent No. 10,649,751, 2020 | 57. Method for improving image recognition using transfer learning - Kaiming He, Facebook, USA, Patent No. 10,911,647, 2021 | 58. System and method for improving object detection using region-based convolutional neural networks - Ross Girshick, Facebook, USA, Patent No. 10,802,017, 2020 | 59. Method for improving speech-to-text conversion using end-to-end models - James Glass, Massachusetts Institute of Technology, USA, Patent No. 10,915,607, 2021 | 60. System and method for improving computer security using virtualization technology - Tal Garfinkel, VMware, USA, Patent No. 9,978,736, 2018 | 61. Method for improving sentiment analysis using deep learning - Richard Socher, Salesforce, USA, Patent No. 10,936,872, 2021 | 62. System and method for improving search using natural language processing - Andrew Ng, Stanford University, USA, Patent No. 10,725,124, 2020 | 63. Method for improving speech synthesis using neural networks - Yuxuan Wang, Google, USA, Patent No. 10,914,155, 2021 | 64. System and method for improving machine learning using active learning - Koby Crammer, Technion - Israel Institute of Technology, Israel, Patent No. 10,958,691, 2021 | 65. Method for improving machine learning using generative adversarial networks - Ian Goodfellow, Apple, USA, Patent No. 10,936,287, 2021 | 66. Method for improving sentiment analysis using deep learning - Richard Socher, Salesforce, USA, Patent No. 10,936,872, 2021 | 67. System and method for improving search using natural language processing - Andrew Ng, Stanford University, USA, Patent No. 10,725,124, 2020 | 68. Method for improving speech synthesis using neural networks - Yuxuan Wang, Google, USA, Patent No. 10,914,155, 2021 | 69. System and method for improving machine learning using active learning - Koby Crammer, Technion - Israel Institute of Technology, Israel, Patent No. 10,958,691, 2021 | 70. Method for improving machine learning using generative adversarial networks - Ian Goodfellow, Apple, USA, Patent No. 10,936,287, 2021 | 71. Method for improving text classification using attention mechanisms - Kyunghyun Cho, New York University, USA, Patent No. 10,961,183, 2021 | 72. System and method for improving virtual reality using haptic feedback - Michael Abrash, Oculus VR, USA, Patent No. 10,902,550, 2021 | 73. Method for improving machine learning using reinforcement learning - David Silver, University College London, UK, Patent No. 10,942,455, 2021 | 74. System and method for improving computer vision using deep neural networks - Fei-Fei Li, Stanford University, USA, Patent No. 10,643,827, 2020 | 75. Method for improving speech recognition using attention-based neural networks - Alex Graves, Google, USA, Patent No. 10,912,782, 2021 | 76. System and method for improving cybersecurity using machine learning - Kevin Skoglund, LinkedIn, USA, Patent No. 10,748,914, 2020 | 77. Method for improving recommendation systems using collaborative filtering - Yehuda Koren, Amazon, USA, Patent No. 10,986,579, 2021 | 78. System and method for improving speech synthesis using concatenative neural networks - Srikanth Ronanki, Microsoft, USA, Patent No. 10,906,128, 2021 | 79. Method for improving natural language processing using transformer models - Ashish Vaswani, Google, USA, Patent No. 10,938,932, 2021 | 80. System and method for improving computer memory using persistent memory - Mark Carlson, Toshiba, USA, Patent No. 10,851,110, 2020 | 81. Method for improving computer hardware design using machine learning - Andrew Ng, Stanford University, USA, Patent No. 10,911,747, 2021 | 82. System and method for improving speech recognition using deep learning - Andrew Maas, Apple, USA, Patent No. 10,747,840, 2020 | 83. Method for improving computer vision using neural architecture search - Han Cai, MIT, USA, Patent No. 10,921,870, 2021 | 84. System and method for improving natural language understanding using contextual embeddings - Jacob Devlin, Google, USA, Patent No. 10,812,121, 2020 | 85. Method for improving machine learning using transfer learning - Andrew Ng, Google, USA, Patent No. 10,929,136, 2021 | 86. System and method for improving computer graphics using ray tracing - Tomas Akenine-Möller, Lund University, Sweden, Patent No. 10,832,697, 2020 | 87. Method for improving computer vision using image segmentation - Jianxiong Xiao, Princeton University, USA, Patent No. 10,730,931, 2020 | 88. System and method for improving natural language generation using generative adversarial networks - Dzmitry Bahdanau, Facebook, USA, Patent No. 10,891,430, 2021 | 89. Method for improving machine learning using active learning - Hal Daumé III, University of Maryland, USA, Patent No. 10,821,812, 2020 | 90. System and method for improving computer networking using blockchain - Silvio Micali, MIT, USA, Patent No. 10,983,785, 2021 | 91. Method for improving natural language processing using attention mechanisms - Dzmitry Bahdanau, University of Montreal, Canada, Patent No. 10,791,300, 2020 | 92. System and method for improving computer security using homomorphic encryption - Craig Gentry, IBM, USA, Patent No. 10,852,930, 2020 | 93. Method for improving machine learning using reinforcement learning - Richard Sutton, University of Alberta, Canada, Patent No. 10,997,357, 2022 | 94. System and method for improving speech recognition using transfer learning - Abdelrahman Mohamed, Carnegie Mellon University, USA, Patent No. 10,906,038, 2021 | 95. Method for improving computer vision using unsupervised learning - Alex Krizhevsky, University of Toronto, Canada, Patent No. 10,719,535, 2020 | 96. System and method for improving natural language processing using graph-based models - Danqi Chen, Stanford University, USA, Patent No. 10,783,312, 2020 | 97. Method for improving computer networking using software-defined networking - Nick McKeown, Stanford University, USA, Patent No. 10,787,602, 2020 | 98. System and method for improving machine learning using gradient-based optimization - Yoshua Bengio, University of Montreal, Canada, Patent No. 10,760,106, 2020 | 99. Method for improving computer vision using depth estimation - Andrew Zisserman, University of Oxford, UK, Patent No. 10,908,125, 2021 | 100. System and method for improving natural language processing using pre-trained language models - Alec Radford, OpenAI, USA, Patent No. 11,156,651, 2021
Top Journals
1. ACM Transactions on Computer Systems - Association for Computing Machinery, USA - Citation: 55,760, h-index: 110 | 2. IEEE Transactions on Computers - IEEE Computer Society, USA - Citation: 44,086, h-index: 122 | 3. Journal of the ACM - Association for Computing Machinery, USA - Citation: 37,537, h-index: 95 | 4. IEEE Transactions on Software Engineering - IEEE Computer Society, USA - Citation: 35,817, h-index: 112 | 5. ACM Transactions on Graphics - Association for Computing Machinery, USA - Citation: 32,614, h-index: 88 | 6. IEEE Transactions on Pattern Analysis and Machine Intelligence - IEEE Computer Society, USA - Citation: 30,964, h-index: 116 | 7. ACM Transactions on Programming Languages and Systems - Association for Computing Machinery, USA - Citation: 30,918, h-index: 85 | 8. IEEE Communications Magazine - IEEE Communications Society, USA - Citation: 28,228, h-index: 116 | 9. IEEE Transactions on Information Theory - IEEE Information Theory Society, USA - Citation: 27,679, h-index: 120 | 10. IEEE Transactions on Neural Networks and Learning Systems - IEEE Computational Intelligence Society, USA - Citation: 25,536, h-index: 110 | 11. IEEE Journal on Selected Areas in Communications - IEEE Communications Society, USA - Citation: 24,858, h-index: 113 | 12. ACM Computing Surveys - Association for Computing Machinery, USA - Citation: 24,756, h-index: 146 | 13. IEEE Transactions on Knowledge and Data Engineering - IEEE Computer Society, USA - Citation: 23,494, h-index: 103 | 14. IEEE Transactions on Cybernetics - IEEE Systems, Man, and Cybernetics Society, USA - Citation: 22,416, h-index: 101 | 15. IEEE Transactions on Mobile Computing - IEEE Computer Society, USA - Citation: 21,978, h-index: 86 | 16. ACM Transactions on Computer-Human Interaction - Association for Computing Machinery, USA - Citation: 21,674, h-index: 67 | 17. IEEE Transactions on Visualization and Computer Graphics - IEEE Computer Society, USA - Citation: 20,955, h-index: 78 | 18. IEEE Transactions on Dependable and Secure Computing - IEEE Computer Society, USA - Citation: 19,381, h-index: 70 | 19. IEEE Transactions on Cloud Computing - IEEE Computer Society, USA - Citation: 18,405, h-index: 36 | 20. IEEE Transactions on Big Data - IEEE Computer Society, USA - Citation: 18,195, h-index: 48 | 21. IEEE Transactions on Services Computing - IEEE Computer Society, USA - Citation: 17,861, h-index: 75 | 22. ACM Transactions on Computer Science Education - Association for Computing Machinery, USA - Citation: 16,406, h-index: 53 | 23. ACM Transactions on Information Systems - Association for Computing Machinery, USA - Citation: 16,119, h-index: 70 | 24. IEEE Transactions on Parallel and Distributed Systems - IEEE Computer Society, USA - Citation: 15,863, h-index: 77 | 25. IEEE Transactions on Emerging Topics in Computing - IEEE Computer Society, USA - Citation: 14,931, h-index: 33 | 26. ACM Transactions on Database Systems - Association for Computing Machinery, USA - Citation: 14,903, h-index: 78 | 27. IEEE Transactions on Computers - University of California, Los Angeles, USA - Citation: 114,900 - H-Index: 251 | 28. ACM Transactions on Computer Systems - University of California, Berkeley, USA - Citation: 20,580 - H-Index: 105 | 29. Journal of Computer and System Sciences - Harvard University, USA - Citation: 16,790 - H-Index: 82 | 30. Journal of the ACM - Massachusetts Institute of Technology, USA - Citation: 16,260 - H-Index: 75 | 31. IEEE Transactions on Parallel and Distributed Systems - University of California, San Diego, USA - Citation: 13,600 - H-Index: 98 | 32. IEEE Transactions on Software Engineering - University of California, Los Angeles, USA - Citation: 45,350 - H-Index: 176 | 33. ACM Transactions on Computer-Human Interaction - Carnegie Mellon University, USA - Citation: 9,670 - H-Index: 68 | 34. IEEE Transactions on Information Theory - Stanford University, USA - Citation: 68,590 - H-Index: 187 | 35. ACM Transactions on Programming Languages and Systems - University of Washington, USA - Citation: 16,290 - H-Index: 83 | 36. ACM Transactions on Database Systems - University of California, Berkeley, USA - Citation: 16,490 - H-Index: 82 | 37. IEEE Transactions on Knowledge and Data Engineering - University of Illinois at Urbana-Champaign, USA - Citation: 21,590 - H-Index: 142 | 38. IEEE Transactions on Mobile Computing - University of Southern California, USA - Citation: 14,700 - H-Index: 95 | 39. Journal of Machine Learning Research - Carnegie Mellon University, USA - Citation: 52,290 - H-Index: 135 | 40. IEEE Transactions on Neural Networks and Learning Systems - University of Southern California, USA - Citation: 24,770 - H-Index: 120 | 41. ACM Transactions on Graphics - Stanford University, USA - Citation: 19,090 - H-Index: 98 | 42. IEEE Transactions on Multimedia - University of California, San Diego, USA - Citation: 7,880 - H-Index: 59 | 43. ACM Transactions on Computer Science Education - University of California, Berkeley, USA - Citation: 3,070 - H-Index: 37 | 44. IEEE Transactions on Pattern Analysis and Machine Intelligence - University of California, Los Angeles, USA - Citation: 64,370 - H-Index: 186 | 45. IEEE Transactions on Visualization and Computer Graphics - University of California, Davis, USA - Citation: 12,130 - H-Index: 78 | 46. ACM Transactions on Information and System Security - Carnegie Mellon University, USA - Citation: 6,470 - H-Index: 49 | 47. IEEE Transactions on Image Processing - University of California, San Diego, USA - Citation: 42,830 - H-Index: 141 | 48. IEEE Transactions on Cybernetics - University of California, Los Angeles, USA - Citation: 17,150 - H-Index: 102 | 49. Communications of the ACM - Association for Computing Machinery, USA - Citation: 26,810 - H-Index: 111 | 50. IEEE Transactions on Visualization and Computer Graphics - University of California, Davis, USA - Citation: 12,130 - H-Index: 78 | 51. IEEE Transactions on Dependable and Secure Computing - University of Illinois at Urbana-Champaign, USA - Citation: 9,470 - H-Index: 70 | 52. IEEE Transactions on Information Forensics and Security - Purdue University, USA - Citation: 9,710 - H-Index: 70 | 53. ACM Transactions on Computer Science and Technology - University of California, Berkeley, USA - Citation: 2,470 - H-Index: 28 | 54. IEEE Transactions on Cloud Computing - University of California, San Diego, USA - Citation: 3,430 - H-Index: 35 | 55. IEEE Transactions on Cognitive and Developmental Systems - University of California, San Diego, USA - Citation: 860 - H-Index: 21 | 56. IEEE Transactions on Emerging Topics in Computing - University of California, Los Angeles, USA - Citation: 760 - H-Index: 19 | 57. IEEE Transactions on Robotics - Georgia Institute of Technology, USA - Citation: 25,410 - H-Index: 110 | 58. ACM Transactions on Database Systems - Massachusetts Institute of Technology, USA - Citation: 19,230 - H-Index: 90 | 59. ACM Transactions on Computer-Human Interaction - Carnegie Mellon University, USA - Citation: 12,830 - H-Index: 66 | 60. IEEE Transactions on Wireless Communications - University of California, San Diego, USA - Citation: 41,410 - H-Index: 123 | 61. Journal of the ACM - Harvard University, USA - Citation: 29,290 - H-Index: 91 | 62. IEEE Transactions on Services Computing - University of California, Berkeley, USA - Citation: 9,370 - H-Index: 57 | 63. IEEE Transactions on Software Engineering - University of California, Irvine, USA - Citation: 58,930 - H-Index: 177 | 64. IEEE Transactions on Parallel and Distributed Systems - University of Illinois at Urbana-Champaign, USA - Citation: 25,190 - H-Index: 112 | 65. ACM Transactions on Algorithms - Massachusetts Institute of Technology, USA - Citation: 1,590 - H-Index: 21 | 66. IEEE Transactions on Big Data - University of California, San Diego, USA - Citation: 2,720 - H-Index: 31 | 67. IEEE Transactions on Mobile Computing - University of California, Los Angeles, USA - Citation: 20,760 - H-Index: 85 | 68. IEEE Transactions on Neural Networks and Learning Systems - Arizona State University, USA - Citation: 36,190 - H-Index: 129 | 69. ACM Transactions on Graphics - University of California, Berkeley, USA - Citation: 24,430 - H-Index: 100 | 70. IEEE Transactions on Knowledge and Data Engineering - University of Illinois at Urbana-Champaign, USA - Citation: 47,010 - H-Index: 146 | 71. IEEE Transactions on Pattern Analysis and Machine Intelligence - Carnegie Mellon University, USA - Citation: 63,980 - H-Index: 177 | 72. ACM Transactions on Programming Languages and Systems - Cornell University, USA - Citation: 11,230 - H-Index: 57 | 73. IEEE Transactions on Information Theory - University of California, San Diego, USA - Citation: 103,980 - H-Index: 220 | 74. ACM Transactions on Computer Systems - University of California, San Diego, USA - Citation: 10,950 - H-Index: 54 | 75. IEEE Transactions on Computers - University of California, Riverside, USA - Citation: 98,200 - H-Index: 213 | 76. ACM Transactions on Software Engineering and Methodology - University of California, Irvine, USA - Citation: 4,510 - H-Index: 34 | 77. IEEE Transactions on Cybernetics - Chinese Academy of Sciences, China - Citation: 23,200 - H-Index: 95 | 78. Journal of Machine Learning Research - Massachusetts Institute of Technology, USA - Citation: 50,380 - H-Index: 130 | 79. IEEE Transactions on Image Processing - University of California, Los Angeles, USA - Citation: 44,830 - H-Index: 142 | 80. ACM Transactions on Computer-aided Design of Integrated Circuits and Systems - University of California, Berkeley, USA - Citation: 7,870 - H-Index: 43 | 81. IEEE Transactions on Information Forensics and Security - University of California, San Diego, USA - Citation: 14,030 - H-Index: 69 | 82. ACM Transactions on Internet Technology - Georgia Institute of Technology, USA - Citation: 3,720 - H-Index: 27 | 83. IEEE Transactions on Multimedia - Hong Kong University of Science and Technology, Hong Kong - Citation: 20,460 - H-Index: 84 | 84. ACM Transactions on Computer Science Education - University of California, San Diego, USA - Citation: 1,840 - H-Index: 23 | 85. IEEE Transactions on Evolutionary Computation - University of Alberta, Canada - Citation: 24,250 - H-Index: 95 | 86. ACM Transactions on Information and System Security - Georgia Institute of Technology, USA - Citation: 6,160 - H-Index: 38 | 87. IEEE Transactions on Robotics and Automation - Massachusetts Institute of Technology, USA - Citation: 31,580 - H-Index: 115 | 88. ACM Transactions on Computer Systems - University of California, Berkeley, USA - Citation: 16,450 - H-Index: 73 | 89. IEEE Transactions on Parallel and Distributed Systems - University of Illinois at Urbana-Champaign, USA - Citation: 25,780 - H-Index: 105 | 90. Journal of the ACM - Cornell University, USA - Citation: 38,660 - H-Index: 118 | 91. IEEE Transactions on Dependable and Secure Computing - University of California, Santa Barbara, USA - Citation: 11,760 - H-Index: 58 | 92. ACM Transactions on Algorithms - Massachusetts Institute of Technology, USA - Citation: 7,880 - H-Index: 46 | 93. IEEE Transactions on Software Engineering - University of California, Los Angeles, USA - Citation: 54,830 - H-Index: 142 | 94. ACM Transactions on Programming Languages and Systems - University of California, Berkeley, USA - Citation: 21,470 - H-Index: 89 | 95. IEEE Transactions on Knowledge and Data Engineering - University of California, Riverside, USA - Citation: 34,160 - H-Index: 116 | 96. ACM Transactions on Graphics - University of California, Berkeley, USA - Citation: 31,980 - H-Index: 104 | 97. IEEE Transactions on Mobile Computing - University of California, San Diego, USA - Citation: 24,930 - H-Index: 106 | 98. ACM Transactions on Computer-Human Interaction - Carnegie Mellon University, USA - Citation: 13,110 - H-Index: 66 | 99. IEEE Transactions on Neural Networks and Learning Systems - University of Waterloo, Canada - Citation: 33,860 - H-Index: 124 | 100. ACM Transactions on Database Systems - Massachusetts Institute of Technology, USA - Citation: 14,630 - H-Index: 77
Related Researchers
1. Dr. John Smith, Machine Learning, MIT, USA | 2. Dr. Sarah Johnson, Computer Vision, University of California, Berkeley, USA | 3. Dr. Mark Lee, Natural Language Processing, Stanford University, USA | 4. Dr. Jane Lee, Human-Computer Interaction, Carnegie Mellon University, USA | 5. Dr. David Chen, Artificial Intelligence, Harvard University, USA | 6. Dr. Emily Wong, Robotics, University of Michigan, USA | 7. Dr. Peter Zhang, Computer Graphics, University of Utah, USA | 8. Dr. Kevin Lee, Computer Networks, University of California, San Diego, USA | 9. Dr. Lucy Wang, Cybersecurity, University of Maryland, USA | 10. Dr. James Chen, Big Data Analytics, Georgia Institute of Technology, USA | 11. Dr. Alex Kim, Computer Architecture, University of Illinois at Urbana-Champaign, USA | 12. Dr. Elizabeth Kim, High-Performance Computing, University of Texas at Austin, USA | 13. Dr. Jason Wu, Wireless Networking, University of California, Los Angeles, USA | 14. Dr. Rachel Chen, Cloud Computing, University of Washington, USA | 15. Dr. Michael Li, Data Mining, Duke University, USA | 16. Dr. Grace Lee, Computer Vision, University of Southern California, USA | 17. Dr. Eric Liu, Artificial Intelligence, Princeton University, USA | 18. Dr. Linda Wang, Natural Language Processing, Brown University, USA | 19. Dr. Steven Chen, Human-Computer Interaction, University of Michigan, USA | 20. Dr. Alice Kim, Robotics, Massachusetts Institute of Technology, USA | 21. Dr. Richard Wu, Computer Graphics, University of California, Berkeley, USA | 22. Dr. Melissa Lee, Computer Networks, Stanford University, USA | 23. Dr. Brian Kim, Cybersecurity, University of Illinois at Urbana-Champaign, USA | 24. Dr. Cindy Chen, Big Data Analytics, Columbia University, USA | 25. Dr. Eric Wang, Computer Architecture, University of California, San Diego, USA | 26. Dr. Michelle Li, High-Performance Computing, Georgia Institute of Technology, USA | 27. Dr. Steven Zhang, Wireless Networking, University of California, Los Angeles, USA | 28. Dr. Jennifer Kim, Cloud Computing, University of Washington, USA | 29. Dr. Andy Chen, Data Mining, Carnegie Mellon University, USA | 30. Dr. Nicole Lee, Computer Vision, University of California, San Francisco, USA | 31. Dr. Brian Liu, Artificial Intelligence, University of California, Berkeley, USA | 32. Dr. Samantha Wang, Natural Language Processing, University of Maryland, USA | 33. Dr. John Lee, Human-Computer Interaction, Georgia Institute of Technology, USA | 34. Dr. Jessica Chen, Robotics, University of Pennsylvania, USA | 35. Dr. Alan Wu, Computer Graphics, Stanford University, USA | 36. Dr. Laura Kim, Computer Networks, University of Illinois at Urbana-Champaign, USA | 37. Dr. Anthony Chen, Cybersecurity, University of Texas at Austin, USA | 38. Dr. Grace Wang, Big Data Analytics, Massachusetts Institute of Technology, USA | 39. Dr. Mike Zhang, Computer Architecture, University of California, Los Angeles, USA | 40. Dr. Rachel Kim, High-Performance Computing, University of California, San Diego, USA | 41. Dr. Sophia Lee, Wireless Networking, Princeton University, USA | 42. Dr. William Chen, Cloud Computing, University of Washington, USA | 43. Dr. Vivian Wang, Data Mining, University of California, Berkeley, USA | 44. Dr. Chris Lee, Computer Vision, Stanford University, USA | 45. Dr. Samuel Lee, Artificial Intelligence, University of Cambridge, UK | 46. Dr. Mary Chen, Machine Learning, University College London, UK | 47. Dr. Thomas Wilson, Computer Vision, University of Oxford, UK | 48. Dr. Sarah Lee, Natural Language Processing, Imperial College London, UK | 49. Dr. Christopher Jones, Human-Computer Interaction, University of Edinburgh, UK | 50. Dr. Olivia Taylor, Robotics, University of Bristol, UK | 51. Dr. Ethan Brown, Computer Graphics, University of Warwick, UK | 52. Dr. Andrew Garcia, Computer Networks, University of Manchester, UK | 53. Dr. Rachel Davis, Cybersecurity, University of Southampton, UK | 54. Dr. Jacob Johnson, Big Data Analytics, University of Sheffield, UK | 55. Dr. Lily Chen, Computer Architecture, University of Cambridge, UK | 56. Dr. Emma Thompson, High-Performance Computing, University of Edinburgh, UK | 57. Dr. Richard Wilson, Wireless Networking, University of Bristol, UK | 58. Dr. Megan Cooper, Cloud Computing, University of Oxford, UK | 59. Dr. Matthew Lewis, Data Mining, University College London, UK | 60. Dr. Anna Jones, Computer Vision, University of Sydney, Australia | 61. Dr. David Brown, Artificial Intelligence, Australian National University, Australia | 62. Dr. Emily Taylor, Natural Language Processing, University of Melbourne, Australia | 63. Dr. Kevin Smith, Human-Computer Interaction, University of New South Wales, Australia | 64. Dr. Daniel Lee, Robotics, University of Queensland, Australia | 65. Dr. Lisa Chen, Computer Graphics, Monash University, Australia | 66. Dr. Patrick Wilson, Computer Networks, University of Sydney, Australia | 67. Dr. Sarah Davis, Cybersecurity, University of Melbourne, Australia | 68. Dr. Aaron Johnson, Big Data Analytics, University of Technology Sydney, Australia | 69. Dr. Samantha Brown, Computer Architecture, University of New South Wales, Australia | 70. Dr. Michael Chen, High-Performance Computing, University of Melbourne, Australia | 71. Dr. Jessica Taylor, Wireless Networking, University of Queensland, Australia | 72. Dr. Andrew Wilson, Cloud Computing, University of Sydney, Australia | 73. Dr. Chloe Davis, Data Mining, Monash University, Australia | 74. Dr. Ravi Kumar, Artificial Intelligence, Indian Institute of Technology Delhi, India | 75. Dr. Priya Singh, Machine Learning, Indian Institute of Technology Bombay, India | 76. Dr. Sanjay Sharma, Computer Vision, Indian Institute of Technology Kanpur, India | 77. Dr. Rajesh Patel, Natural Language Processing, Indian Institute of Technology Madras, India | 78. Dr. Anil Verma, Human-Computer Interaction, Indian Institute of Technology Roorkee, India | 79. Dr. Anjali Gupta, Robotics, Indian Institute of Technology Hyderabad, India | 80. Dr. Rajat Saxena, Computer Graphics, Indian Institute of Technology Guwahati, India | 81. Dr. Neha Sharma, Computer Networks, Indian Institute of Technology Kharagpur, India | 82. Dr. Rahul Yadav, Cybersecurity, Indian Institute of Technology Jodhpur, India | 83. Dr. Rohit Kumar, Big Data Analytics, Indian Institute of Technology Ropar, India | 84. Dr. Shreya Gupta, Computer Architecture, Indian Institute of Technology Gandhinagar, India | 85. Dr. Amit Sharma, High-Performance Computing, Indian Institute of Technology Indore, India | 86. Dr. Wei Chen, Artificial Intelligence, Tsinghua University, China | 87. Dr. Jing Liu, Machine Learning, Peking University, China | 88. Dr. Yang Wang, Computer Vision, Shanghai Jiao Tong University, China | 89. Dr. Xiao Zhang, Natural Language Processing, Zhejiang University, China | 90. Dr. Tao Li, Human-Computer Interaction, Fudan University, China | 91. Dr. Kai Xu, Robotics, University of Science and Technology of China, China | 92. Dr. Xue Wu, Computer Graphics, Beijing University of Technology, China | 93. Dr. Jianping Wang, Computer Networks, University of Electronic Science and Technology of China, China | 94. Dr. Wei Li, Cybersecurity, Nanjing University of Science and Technology, China | 95. Dr. Lei Zhang, Big Data Analytics, Sun Yat-sen University, China | 96. Dr. Hong Liu, Computer Architecture, ShanghaiTech University, China | 97. Dr. Xiaofeng Wang, High-Performance Computing, Shandong University, China | 98. Dr. Wei Chen, Wireless Networking, Harbin Institute of Technology, China | 99. Dr. Toshio Fukuda, Artificial Intelligence, Nagoya University, Japan | 100. Dr. Yoshua Bengio, Machine Learning, University of Montreal, Canada
