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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scopus

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

 

Dr Madhulika Bhati | Energy

Dr. Madhulika Bhati | Leading  In Energy

Congratulations,Dr Madhulika Bhati on winning the esteemed Women Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Dr Madhulika Bhati 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:

🎓 EDUCATION

PhD in Chemistry – Forest Research Institute, Dehradun, India (2001)

🏆 PROFILE SUMMARY
With 15+ years’ experience and roles as Principal Scientist and Associate Professor, I specialize in data-driven research focusing on Socio-Economic Impact Assessment, Environment & Sustainability, STI Policy, and Scientometric Analysis. I excel in knowledge extraction, data analytics, and sustainability development with exceptional communication and analytical skills.

💼 WORK EXPERIENCE

CSIR – National Institute of Science Communication & Policy Research (Principal Scientist & Associate Professor)

Leading knowledge creation, dissemination, and sustainability research

Conducting data-driven analysis and policy trends for emerging technologies

Supervising PhD students and teaching research methodologies

🏅 AWARDS & ACHIEVEMENTS

CSIR-Raman Research Fellow Award (2021)

CIPSEM Fellowship, TU Dresden, Germany (2021-2022)

CSIR-Women achiever in STEM (2023)

Distinguished Fellow at CASTED, Beijing, China

Visiting Professor at Dalhousie University, Canada

🔬 SKILLS

Knowledge Mapping & Extraction

Data Analytics & Scientometric Analysis

Sustainability Development & Data Curation

Publications Top Note :

Growth and mineral accumulation in Eucalyptus camaldulensis seedlings irrigated with mixed industrial effluents paper published in  2003 cite by 101

Growth of Dalbergia sissoo in desert regions of western India using municipal effluent and the subsequent changes in soil and plant chemistry    paper published in  2005 cite by 76

China and India: The two new players in the nanotechnology race    paper published in  2012 cite by 59

Perovskite photovoltaics: basic to advanced concepts and implementation     paper published in  2018 cite by 40

Growth, biomass production, and nutrient composition of eucalyptus seedlings irrigated with municipal effluent in loamy sand soil of Indian desert   paper published in  2003 cite by 32

Nanotechnology:’Risk Governance’in India  paper published in  2012 cite by 27

Use of tree seedlings for the phytoremediation of a municipal effluent used in dry areas of north-western India: Plant growth and nutrient uptake   paper published in  2010 cite by 26

Nanotechnology and water purification: Indian know-how and challenges  paper published in  2021 cite by 17

Mineral toxicity and physiological functions in tree seedlings irrigated with effluents of varying chemistry in sandy soil of dry region  paper published in  2003 cite by 18

Soil and plant mineral composition and productivity of Acacia nilotica (L.) under irrigation with municipal effluent in an arid environment    paper published in  2004 cite by 14

📊 Citation Metrics (Google Scholar):

  • Citations by: All – 503, Since 2018 – 217
  • h-index: All – 11, Since 2018 – 8
  • i10 index: All – 13, Since 2018 – 8