Dr. Saul Solorio Fernández | Computational Intelligence | Best Researcher Award | 2048

Dr. Saul Solorio Fernández | Computational Intelligence | Best researcher Award

Dr. Saul Solorio Fernández is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

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Professional Goals

As a specialist in developing pattern recognition and data mining algorithms, I bring over 10 years of experience to the field. Collaborating with various Mexican educational and government institutions like UNAM, INNEL, SEMAR, and CFE, I’m recognized for teamwork and adaptability in diverse projects.

Computer Skills

Operating Systems: Linux, MacOS, Windows Programming Languages: Java, Python, C Mathematical Software: Matlab, Octave, Mathematica Data Mining Libraries and Frameworks: Weka, RapidMiner, Orange, SMILE, Rattle, Encog, scikit feature, Scikit Learn Office Suites and Document Preparation Systems: Latex, Microsoft Office, iWork Productivity Suite, LibreOffice Reference Management Software: Mendeley, Zotero, JabRef, KBibteX

Academic Background

Ph.D. in Computer Science from INAOE | January 2016-June 2020 M.Sc. in Computer Science from INAOE | August 2008-November 2010 BSc. in Mathematics (Computing area) from Universidad Autónoma de Guerrero (UAGRO) | August 2002-February 2006

Work Experience

Advisor and collaborator in the Smart Electric Networks and Micro Grids project | 2021 Scientific advisor and developer in the system proposal for Volkswagen Puebla | 2020 Data scientist and developer in the project for preventing atmospheric electric discharges | 2015-2016 Scientific advisor, data analyst, and programmer in various projects for institutions like SEMAR, Mexican Navy, and CFE | 2012-2015

Courses and Accomplishments

Completed various courses on computational thinking, web scraping, OOP, data engineering, and data science. Proficient in Spanish (Native) and English (TOEFL score: 556)

Hobbies

Passionate about chess Plays guitar and piano, enjoys singing Enjoys swimming, athletics, cycling, exploring cultures, and traveling

Additional Information

Date of Birth: November 08, 1983 Nationality: Mexican Availability for travel or changing residence: Yes Academic activities include teaching experience, online course instruction, and presentations at seminars.

Academic Activities and Professional Services

Full-time Professor/Researcher at Universidad Tecnológica de la Mixteca (UTM) Instructor in online courses related to machine learning and data analysis Engaged in teaching, research, and contributions to international journals as a reviewer.

Other Professional/Academic Activities and Awards

Member of the National System of Researchers (SNI) from 2021-2025 Honorable Mention for academic achievements Supervised Bachelor Theses and participated in academic exchanges at various international universities.

Publications Top Note :

Dr. Ben Regaya Chiheb | Motor control | Best Researcher Award

Dr. Ben Regaya Chiheb | Motor control | Best researcher Award

Dr. Ben Regaya Chiheb is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

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Education

Doctorate (2016) Specialty: Doctorate from the Higher School of Sciences and Technology of Tunis Thesis Title Contribution à la synthèse de lois de commande robuste de la machine à induction triphasée : Validation expérimentale. Thesis Director: Prof. ABDELKADER CHAARI Defended 07 May 2016 in Tunis, Tunisia Mention  Very Honorable

 

Master’s Degrees

Master in Automation and Production (2007) Title  Commande vectorielle d’une machine à induction triphasée : Étude de la robustesse en utilisant la logique floue. Defended: 27 July 2007 in Tunis, Tunisia Mention: Very Good Master’s Degree in Automation and Industrial Computing (2005) Title: Étude et réalisation d’une maquette d’asservissement. Defended: 2 July 2005 in Tunis, Tunisia Mention: Pretty Good Technical Baccalaureate (2001) High School Mahmoud El Messadi, Nabeul Mention: Pretty Good

Teaching Experience

Higher Institute of Applied Sciences and Technology of Kairouan (ISSAT Kairouan) Associate Professor since July 2018 Taught courses including Combinatorial logic systems, Digital electronics, Electronic production technology, etc. Higher Institute of Applied Sciences and Technology of Gafsa (ISSAT Gafsa) Assistant Professor from 2014 to 2018 Taught courses in Digital signal processing, Electronics communication, Sequential logic systems, etc. Ministry of Education Head Teacher of Secondary Education from 2006 to 2014 at Maamoura College, Nabeul Governorate Subject taught: Technology

Research Activities

Member of the research laboratory “Laboratory of Engineering of Industrial Systems and Renewable Energies (LISIER)” Research focuses on control, estimation, and optimization in an industrial context. This condensed version summarizes Chiheb Ben Regaya’s academic achievements, teaching roles, and research interests. Let me know if you need more details or any specific information!

📊 Citation Metrics (Google Scholar):

  • Citations by: All – 542, Since 2018 – 474
  • h-index: All – 11, Since 2018 – 9
  • i10 index: All – 13, Since 2018 – 9

Publications Top Note :

paper published in 2019 cite by 42

A new sliding mode speed observer of electric motor drive based on fuzzy-logic  paper published in 2014 cite by 36

Speed sensorless indirect field-oriented of induction motor using two type of adaptive observer

paper published in 2013 cite by 11

 

Dr. Zepeng Liu | Fault Diagnosis

Dr. Zepeng Liu | Fault Diagnosis | Best researcher Award

Dr. Zepeng Liu is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

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Dr. Zepeng Liu

Institute School of Engineering, Newcastle University, UK Position  Lecturer in Electrification

Working Experience:

2023/09-Present  Lecturer in Electrification at Newcastle University, UK 2020/12-2023/09 Research Associate in Advanced Manufacturing Systems Condition Monitoring, University of Sheffield, UK 2020/5-2020/8 Research Associate, University of Manchester, UK

Education Background:

2017/1-2021/2: Ph.D. in Electrical & Electronic Engineering, University of Manchester, UK 2015/9–2016/9 MSc in Power Systems Engineering, University College London, UK 2013/9–2015/6  BEng in Electrical Engineering & Electronics, University of Liverpool, UK

Research Interests:

Data-Driven Modelling:

Nonlinear system modelling in the frequency domain

Machine and statistical learning, Neural networks

Sparse representation and nonlinear filtering

Modelling and analysis for complex systems:

Advanced manufacturing

Condition monitoring and fault detection of wind turbine systems and components

Structural health monitoring

Smart structures and systems

Application of machine learning to machinery fault diagnosis

Research Experience:

Dr. Liu has extensive experience in research projects involving advanced manufacturing, condition monitoring, fault diagnosis, and machine learning applications. Notable achievements include developing online monitoring systems for cutting tool condition monitoring and fault diagnosis, and creating novel algorithms for real-time CMFD in large slow-speed pitch systems.

Teaching Experience:

Dr. Liu has been a Teaching Assistant for various MSc courses at the University of Manchester since 2016. Additionally, he supervises PhD students and undergraduate/postgraduate projects.

Professional Activities and Recognitions:

 

Review Editor of Frontiers in Robotics and AI Reviewer for learned journals in various science and engineering subject areas

Grant Application Experience:

Participation in grant applications for projects related to wind turbine condition assessment and machine-tool condition monitoring.

Selected Publications:

Dr. Liu has contributed to several high-impact journal papers and conference papers focusing on fault detection, condition monitoring, and machine learning applications in various fields including wind turbine systems, cutting tools, and vibration analysis.

This summary highlights Dr. Liu’s extensive academic background, research contributions, teaching experience, and involvement in professional activities and grant applications.

📊 Citation Metrics (Google Scholar):

  • Citations by: All – 721, Since 2018 – 716
  • h-index: All – 9, Since 2018 – 8
  • i10 index: All – 8, Since 2018 – 7

Publications Top Note :

paper published in 2020 cite by 37

Naturally damaged wind turbine blade bearing fault detection using novel iterative nonlinear filter and morphological analysis  paper published in 2019 cite by 36

paper published in 2022 cite by 9

Wavelet Package Energy Transmissibility Function and Its Application to Wind Turbine Blade Fault Detection

paper published in 2022 cite by 8

 

Mr. Stephen Okrah | Numerical Analysis

Mr. Stephen Okrah | Numerical Analysis | Best researcher Award

Mr. Stephen Okrah is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

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Career Objective

To contribute to Ghana’s national development by strengthening and supporting robust establishments and institutions.

Educational Background

PhD. Candidate, University of Mines and Technology, Tarkwa, Ghana (2019–Date) Master of Science (Industrial Mathematics), Kwame Nkrumah University of Science and Technology, Kumasi, Ghana (2011 – 2013) Bachelor of Science (Mathematics and Statistics), University of Cape Coast, Ghana (2005 – 2009) Certificate “A” 3 Year Post Secondary, Akatsi Teacher Training College, Ghana (1998 – 2001) Senior Secondary School Certificate, Nkonya Secondary School, Ghan(1994 –1997)

Work Experience

Lecturer, Ghana Communication Technology University, Takoradi (2014 – date) Part-time Lecturer, Ghana Technology University College, Takoradi (January 2014 – May 2014) Shama Senior High School (October 2009 – September 2014) Tapa Abotoase R.C J. H. S (September 2001 – August 2005)

University

Various roles including Examination officer, Faculty of Engineering, Ghana Communication Technology University, Takoradi, and involvement in student mentoring, invigilation, and recruitment drives.

Publications 

Author and contributor to peer-reviewed journals covering topics in mathematics, engineering, and problem-solving in various fields.

Volunteer Experience

Engagement in electoral processes, community clubs, and associations involving mathematics and education.

Personal Assets

Skills in teamwork, computing, human relations, communication, creativity, and analytical thinking.

Other Information

Hobbies include reading, problem-solving, and watching football. Thesis “Application of Assignment Problem (Workforce Optimization) in Awarding Jobs / Projects in a Bidding Tender. A Case Study of Shama Senior High School”

Membership of Professional Associations

University Teachers’ Association (UTAG) Mathematical Association of Ghana (MAG) National Association of Graduate Teachers (NAGRAT) Ghana National Association of Teachers (GNAT)

📊 Citation Metrics (Google Scholar):

  • Citations by: All – 4, Since 2018 – 3
  • h-index: All – 1, Since 2018 – 1
  • i10 index: All – 0, Since 2018 – 0

Publications Top Note :

paper published in 2023

Design and Implementation of a Dual Infra-Red Receiver Circuit for Intruder Detection  paper published in 2021

Dr. Masaaki Higashino | Tracheostomy | Best Researcher Award | 1742

Dr. Masaaki Higashino | Tracheostomy

Dr. Masaaki Higashino is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

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Publications Top Note :

Algorithms for automatic measurement of SIS-type hysteretic underdamped Josephson junction’s parameters by current-voltage characteristics paper published in 30 November 2023

 

Prof. Aleksey Vostretsov | automatic information | Best Innovation Award

Prof. Aleksey Vostretsov | Automatic information

Prof. Aleksey Vostretsov is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

scopus

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📚 Education:

1972 – 1977: Novosibirsk Institute of Electrical Engineering (Now Novosibirsk State Technical University) 1980 – 1983: Postgraduate course at Leningrad Institute of Electrical Engineering 1995 – 1997: Doctoral course at Novosibirsk State Technical University

Scientific Degrees:

1983: Cand. Sc. in Engineering (Leningrad Institute of Electrical Engineering) 1998: Dr. Sc. in Engineering (Novosibirsk State Technical University)

👨‍🔬 Work Experience:

1977–1980: Engineer at Novosibirsk Institute of Electrical Engineering 1980–1983: Junior Researcher at Leningrad Institute of Electrical Engineering 1984–1986: Assistant Lecturer at Novosibirsk Institute of Electrical Engineering 1986–1998: Associate Professor at NSTU 1986–1988: Assistant Dean of the Faculty at NSTU 1998–2001: Head of the Department at NSTU 2001–July 2020: Vice-Rector for Research at NSTU Since August 2020: Head of Laboratory (Laboratory of Quantum Cryogenic Electronics) at Novosibirsk State Technical University

🌐 Other Information:

Academician of the International Academy of Sciences of Higher School

🔍 Scientific Profile:

Specializes in Statistical Radio Engineering, Signal Detection & Estimation, Automation of Scientific Experiment, Communications, Radar Systems, and Data Acquisition & Processing Systems. This condensed format encapsulates Aleksey G. Vostretsov’s extensive educational background, professional journey, academic achievements, and scientific specialization in a concise and organized manner.

Publications Top Note :

Current-voltage and frequency response characteristics of low-noise bipolar transistors at cryogenic temperatures

paper published in 2022

Microwave Absorbers Based on Fe and Fe–Al Particles Obtained in the Field of Rotational Magnetic Dipoles  paper published in 2022

Mr. Waheed Gadallah | Network Security | Best Researcher Award | 1740

Mr. Waheed Gadallah | Network Security

Mr. Waheed Gadallah  Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

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👨‍💻 Work Experience

Information Technology Demonstrator at Assiut University (Nov 2017 – Present) Freelancer in web development (Aug 2016 – Present)

📚 Education and Training

Pre-master’s in Information Technology (Aug 2016 – Now) Expected date for finishing master’s in Information Technology (Nov 2022) University staff preparation course certificate (Aug 2020) Cloud Application Developer with IBM Bluemix certification (2019) CCNA Routing and Switching certification (2018-2020) Bachelor in Information Technology (2016) Various certificates related to faculty development and research

🌟 Personal Statement

Experienced IT Demonstrator with over 6 years of teaching experience. Enthusiastic researcher passionate about contributing to team success, developing software applications, and problem-solving. Strong background in synthesis, purification, and high qualifications in research.

📜 Studies Applied For

PhD in Information Technology

🧰 Skills

Programming: Python, PHP, C++, Java, C#, various web development languages Data Science Machine Learning, Deep Learning, Computer Vision Tools Tensorflow, Scikit-learn, Pytorch, Keras, various development tools Languages  Arabic (excellent), English (good), German (good) Soft Skills  Teamwork, Problem-solving, Research Abilities, Planning, Interpersonal Skills, Instruction, Collaboration

📚 Additional Information:

Multiple publications and presentations in esteemed journals and seminars Contributions to projects, practical courses, and seminars related to Computer Science and IT

📊 Citation Metrics (Google Scholar):

Citations by: All – 18, Since 2018 – 18

h-index: All – 1, Since 2018 – 1

i10 index: All – 1, Since 2018 – 1

Publications Top Note :

 

 

 

Prof Hesham Kozou | Auditory and Vestibular Rehabilitation

Prof. Hesham Kozou | Auditory and Vestibular Rehabilitation

Prof Hesham Kozou Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Professional Experience

Dr. Kozou’s expertise as a Professor of Audio-Vestibular Medicine at Alexandria University is backed by significant roles as Head of AVM Unit and Visiting Researcher at the Cognitive Brain Research Unit, University of Helsinki. His leadership at the Alexandria Ear Hospital and Hearing and Balance Diagnostic Center showcases his clinical proficiency.

💻 Information Technology

Dr. Kozou’s multifaceted career includes directorial roles in ICT Medical Center, coordination of telemedicine centers, and contributions to digital health programs. His tenure as CIO at Alexandria University’s ICT Department highlights his influence in technology-driven healthcare solutions.

📚 Academic Involvement

He’s been deeply engaged in academia, contributing as an Executive Editor, committee member, and academic supervisor. His role in various educational programs, including medical informatics and digital libraries, reflects his commitment to modernizing medical education.

🌐 Global Publications

Dr. Kozou’s extensive list of international publications on auditory processing, hearing physiology, and neurological disorders underscores his significant contributions to the scientific community.

🎓 Continuous Learning

His commitment to learning is evident through numerous courses in vestibular rehabilitation, auditory electrophysiology, computer sciences, telemedicine, and medical education technology.

🔬 Research Interests

Dr. Kozou’s research interests encompass a wide spectrum from molecular biology in hearing to digital transformation and e-health solutions, showcasing a diverse yet specialized focus.

📜 Supervisory Role

Overseeing 53 theses since 2012 indicates his mentorship and academic guidance, contributing significantly to the next generation of medical professionals. Dr. Hesham Saad Mohamed Kozou’s profound impact on Audio-Vestibular Medicine, coupled with his pioneering efforts in integrating technology into healthcare, positions him as a leader at the intersection of medicine and information technology.

 

📊 Citation Metrics (Google Scholar):

  • Citations by: All – 388, Since 2018 – 185
  • h-index: All – 7, Since 2018 – 7
  • i10 index: All – 7, Since 2018 – 6
Publications Top Note :

The correlation between central auditory processing in autistic children and their language processing abilities

paper published in 2014 cite by 36

Development of an Arabic test for assessment of dyslexia in Egyptian children

paper published in 2008 cite by 33

Report on the world health organization global observatory for eHealth strategic planning workshop, April 2008

paper published in 2008 cite by 23

Evaluation and remediation of central auditory processing disorders in children with autism spectrum disorders

paper published in 2018 cite by 28

High frequency audiometry in tinnitus patients with normal hearing in conventional audiometry

paper published in 2018 cite by 6

Assessment of cervical and ocular vestibular evoked myogenic potentials in migraine patients

paper published in 2020 cite by 4

Otoacoustic emissions and contralateral suppression in tinnitus sufferers with normal hearing

paper published in 2020 cite by 4

Dr. Ulla Damber | Distance education

Dr. Ulla Damber | Leading  In Distance education

Dr. Ulla Damber Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

🎓 Academic Qualifications:

PhD in Education, 2010, Linköping University Associate Professor in Educational Work, 2015, Umeå University Associate Professor in Education, 2016, Mid Sweden University Master of Social Science with a major in Education, Umeå University, 2005 Master of Arts (MA) in Language Education, Umeå University, 1983

🗂️ Former Positions:

Upper Secondary School Teacher/Teacher in Municipal Adult Education Junior Lecturer in Education, Mid Sweden University Doctoral Student, Linköping University Senior Lecturer in Education, Mid Sweden University Senior Lecturer in Literacy Development, Umeå University

🔍 Research Projects (Brief):

Several ongoing projects on literacy, education development, and sustainable learning

📰 Referee for: Various journals and manuscripts in Education and Early Childhood Literacy

🌍 International Experiences:
Participated in conferences worldwide, projects in Kenya, and established a Nordic network for children’s literature.

🎓 Academic Leadership:
Led various research groups, served in educational boards, and contributed to in-service development projects.

Publications Top Note :

Prof. Feng Pan | Computational PhysicsFormal Methods

Prof. Feng Pan | Leading  In Computational PhysicsFormal Methods

Prof. Feng Pan  Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

🎓 Degrees

Ph.D: 1994 – Nanjing University

M.Sc: 1986 – East China Normal University

B.E.: 1982 – Shenyang Institute of Electric Mechanical Engineering

👨‍💼 Employment

From Assistant to Professor at Liaoning Normal University Postdoctoral positions at Louisiana State University, USA Roles at various universities and institutions in China and abroad

🔍 Research Interests

Quantum many-body problems Theory of group representations and its applications Theory of nuclear structure

📚 Academic Activities

Participation and presentations in conferences worldwide

💡 Research Proposals Supported

Diverse research proposals backed by numerous foundations and committees

👥 Professional Affiliation

Member of Chinese Nuclear Physics Society Member of Chinese Physics Society

🏆 Honors and Awards

Recognition for teaching excellence and distinguished contributions

📖 Referee and Mentorship

Active role as a referee for proposals and journals Mentorship of numerous graduate students

📚 Teaching Experience

Extensive teaching experience for both undergraduate and graduate students in various physics domains This condensed format provides a glimpse into Feng Pan’s academic journey, achievements, and contributions across research, teaching, and professional affiliations.

Publications Top Note :