Assoc. Prof. Dr. Waleed Mahmoud Elsayed | Machine learning Awards | Best Researcher Award

Assoc. Prof. Dr. Waleed Mahmoud Elsayed | Machine learning Awards | Best Researcher AwardΒ 

Assoc. Prof. Dr. Waleed Mahmoud Elsayed, Beni-suef university, Saudi Arabia

Dr. Waleed Mahmoud Ead is an accomplished Assistant Professor in the Faculty of Computing and Information at Al-Baha University, Saudi Arabia, with over 15 years of experience in digital business transformation, data science, and applied research. He holds a Ph.D. in Computers and Informatics from Menoufia University, Egypt, where he focused on privacy-preserving techniques in social networks. Throughout his career, Dr. Ead has developed expertise in business intelligence, data mining, machine learning, cloud computing, and big data analytics, and he is SAS-certified in multiple disciplines, including machine learning and visual analytics. His research interests span social network analysis, distributed databases, precision medicine, and cybersecurity. He has served in various academic roles across prominent Egyptian institutions and has co-supervised doctoral and master’s research in genetics, AI, and privacy in healthcare. A dedicated peer reviewer for renowned journals such as Springer Nature and Inderscience, Dr. Ead is also an active contributor to academic conferences and international workshops. Beyond academia, he is a technology enabler, STEM judge, and entrepreneur, with projects focused on sustainable agriculture and digital innovation.

Professional Profile:

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βœ… Summary of Suitability for Best Researcher Award: Dr. Waleed Mahmoud Ead

Dr. Waleed Mahmoud Ead is highly suitable for the Best Researcher Award, given his exceptional combination of research depth, academic leadership, interdisciplinary engagement, and societal impact. His qualifications are supported by the following key strengths

πŸŽ“ Education

  • πŸ₯‡β€―2004: B.Sc. (Honor) in Information and Technology Systems – Zagazig University, Egypt

  • πŸ“šβ€―2012: M.Sc. in Computers and Informatics – Menoufia University, Egypt
    β€ƒβ€ƒπŸ“˜ Thesis: “Developing an Intelligent Technique in Web Mining”

  • πŸŽ“β€―2018: Ph.D. in Computers and Informatics – Menoufia University, Egypt
    β€ƒβ€ƒπŸ“— Thesis: “Privacy Preserving in Social Networks”

πŸ‘¨β€πŸ« Academic Work Experience

  • πŸ‡ΈπŸ‡¦β€―2024–Present: Assistant Professor, Faculty of Computing and Information – Al-Baha University, Saudi Arabia

  • πŸ‡ͺπŸ‡¬β€―2022–2023: Assistant Professor, CSIT – Egypt-Japan University of Science and Technology

  • πŸ‡ͺπŸ‡¬β€―2018–2022: Assistant Professor, Faculty of Computers & AI – Beni-Suef University

  • πŸ‡ͺπŸ‡¬β€―2015–2018: Lecturer Associate, Faculty of Information Technology – MUST University

  • πŸ‡ͺπŸ‡¬β€―2014: Lecturer Associate, Faculty of Computers & Information – Beni-Suef University

  • πŸ‡ͺπŸ‡¬β€―2012: Lecturer Associate, CSC – October 6 University

  • πŸ‡ͺπŸ‡¬β€―2006–2012: Teaching Assistant, CSC – October 6 University

πŸ† Achievements & Honors

  • 🧠 SAS Certified: Machine Learning, Visual Analytics, Business Planning

  • πŸ’‘ Developed systems for international conferences

  • 🌍 Peer Reviewer for top journals & publishers (Inderscience, Springer, EAI, etc.)

  • 🧬 Co-supervisor for Ph.D. and Master’s students in AI, bioinformatics, and precision medicine

  • πŸ₯‡ Honor degree in B.Sc.

  • πŸ‘©β€βš– STEM Judge: INTEL ISEF & Graduation Projects

  • πŸ’Ό Speaker and participant in events by DAAD, UNESCO, Microsoft, SAS, Oracle

  • 🌱 Founder of IGreen (Intelligent Adaptive Environmental Farm)

  • πŸš€ Participated in entrepreneurship programs (Start Egypt, Flat6Labs)

  • 🧭 Bridging analytics and IT knowledge for social development

PublicationΒ Top Notes:

An Optimized Hierarchal Cluster Formation Approach for Management of Smart Cities

ODCS: On-Demand Hierarchical Consistent Synchronization Approach for the IoT

A General Cyber Hygiene Approach for Financial Analytical Environment

Feedforward Deep Learning Optimizer-based RNA-Seq Women’s cancers Detection with a hybrid Classification Models for Biomarker Discovery

Semantic Sentiment Classification for COVID-19 Tweets Using Universal Sentence Encoder

Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms

Prof. Dr. Cedric Sueur | Artificial intelligence | Best Researcher Award

Prof. Dr. Cedric Sueur | Artificial intelligence | Best Researcher AwardΒ 

Prof. Dr. Cedric Sueur, UniversitΓ© de Strasbourg, France

CΓ©dric Sueur is a French ethologist and primatologist renowned for his contributions to the study of animal behavior and social ecology. He is a Full Professor at the University of Strasbourg and a Fellow of the Institute for Advanced Study, as well as a member of the French Academic Institute. He holds a Ph.D. in Ethology from Louis Pasteur University, Strasbourg, and the Free University of Brussels, along with an HDR qualification to supervise doctoral theses. Throughout his career, he has held prestigious academic positions, including Associate Professor at the University of Strasbourg, Visiting Professor at Kyoto University, Sun Yat-sen University, and Lille Catholic University. His research has been widely recognized, earning him numerous accolades such as the Changjiang Scholar Program award, the Adolphe Wetrems Award from the Royal Academies for Science and the Arts of Belgium, and recognition among the world’s top 2% of scientists by Stanford University. With a strong academic and research background, Sueur continues to contribute significantly to the field of ethology and primatology.

Professional Profile:

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Summary of Suitability for Best Researcher Award – CΓ©dric Sueur

CΓ©dric Sueur is a highly accomplished researcher in Ethology and Primatology, making him a strong contender for the Best Researcher Award. His outstanding academic background, extensive research contributions, prestigious honors, and leadership in the scientific community establish him as an influential figure in his field.

πŸŽ“ Education

  • 2014: HDR, Habilitation to Supervise Doctoral Theses

  • 2008: PhD in Ethology – Primatology, Louis Pasteur University, Strasbourg & Free University of Brussels

  • 2005: Master’s Degree, University Louis Pasteur, Strasbourg (With Honours)

  • 2003: Bachelor’s in Organisms’ Biology, University 14USTL, Lille (With Honours)

πŸ’Ό Work Experience

  • Since 2024: Full Professor, University of Strasbourg

  • Since 2021: Invited Professor, Lille Catholic University

  • 2011-2024: Associate Professor, University of Strasbourg (Outstanding since 2022)

  • 2022 (Jan-Mar): Invited Professor, Kyoto University Institute for Advanced Study

  • 2016 (Jul-Aug): Invited Professor, Sun-Yat Sen University, China (Changjiang Scholar Program award)

  • 2008-2012: Research Associate, Unit of Social Ecology, Free University of Brussels

  • 2010-2011: Research Fellow, Primate Research Institute, Kyoto University

  • 2009-2010: Research Associate, Ecology & Evolutionary Biology, Princeton University

  • 2007-2008: Lecturer in Ethology, Strasbourg University

πŸ† Awards & Honors

  • 2025: Selected for the Lumexplore Prize by the French Society of Explorers πŸ…

  • 2025: Selected for the FranΓ§ois Sommer Prize πŸ†

  • 2024-2029: Member of the β€œInstitut Universitaire de France” πŸŽ–οΈ

  • 2023: Best Communication Prize at Aramos Congress πŸ…

  • 2023: Named Best Scientist by Research.com 🌍

  • 2022: Listed among the World’s Top 2% of Scientists by Stanford University πŸ“Š

  • 2022: Named Best Scientist by Research.com πŸ…

  • 2019: Adolphe Wetrems Award from the Royal Academies for Science and the Arts of Belgium πŸ†

  • 2019-2024: Fellow of the Institut Universitaire de France πŸŽ–οΈ

  • 2017: Primates Social Impact Award πŸ…

  • 2016: Changjiang Scholar Program Award (Visiting Professor at Sun-Yat Sen University, China) πŸ‡¨πŸ‡³

  • 2014: Excellence Award from the French Minister of Higher Education and Research πŸŽ“

  • 2013: Young Scientist Award from the French Society for the Study of Animal Behaviour (SFECA) πŸ…

  • 2012: 3 papers among the Top 5 Cited Papers in International Journal of Primatology πŸ“œ

  • 2012: Fellow of the University of Strasbourg Institute for Advanced Study (USIAS) πŸŽ“

  • 2010: JSPS Alumni (Japan Society for the Promotion of Science) πŸ‡―πŸ‡΅

  • 2009: Fulbright Alumni πŸ‡ΊπŸ‡Έ

  • 2009: Prize of the Society of Biology of Strasbourg for Best Thesis πŸ“œ

  • 2009: “Le Monde de la Recherche Universitaire” Prize for Best Thesis πŸŽ“

  • 2006-2010: Member of the European Doctoral College of Strasbourg 🌍

PublicationΒ Top Notes:

GITED:775
GITED:364
GITED:278
GITED:262
GITED:192
GITED:179
GITED:168

Akmal Jahan Mohamed Abdul Cader | Artificial Intelligence | Best Researcher Award

Akmal Jahan Mohamed Abdul Cader | Artificial Intelligence | Best Researcher Award

Dr. Akmal Jahan Mohamed Abdul Cader, South Eastern University, Sri Lanka.

Dr. Akmal Jahan Mohamed Abdul Cader is a distinguished academic and researcher currently serving as a Senior Lecturer in Computer Science at the South Eastern University of Sri Lanka. With extensive experience in higher education, he is a Visiting Research Fellow at QUT, Australia. His research interests include artificial intelligence, data science, and document image analysis. Dr. Cader has published numerous high-impact articles and is actively involved in academic development and curriculum design. He is committed to advancing education and research in the field of computer science.Β πŸ“šπŸ’»πŸŒ

Publication ProfilesΒ 

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Education and Experience

  • Visiting Research FellowΒ – QUT Momentum Visiting Fellow, QUT, Australia (2021 – Present)Β πŸŽ“
  • Senior LecturerΒ (Computer Science) – South Eastern University of Sri Lanka (2020 – Present) 🏫
  • Sessional AcademicΒ – School of Electrical Engineering & Computer Science, QUT (2016 – 2019)Β πŸ“–
  • LecturerΒ (Computer Science) – South Eastern University of Sri Lanka (2012 – 2015)Β πŸ§‘β€πŸ«
  • Assistant LecturerΒ – South Eastern University of Sri Lanka (2010 – 2012)Β πŸ”
  • DemonstratorΒ in Computer Science – South Eastern University of Sri Lanka (2009 – 2010)Β πŸ‘¨β€πŸ”¬

Suitability For The Award

Dr. Mac Akmal Jahan Mohamed Abdul Cader, Senior Lecturer in Computer Science at the South Eastern University of Sri Lanka, is a highly accomplished academic and researcher, making him an exemplary candidate for the Best Researcher Award. With a career spanning over a decade, Dr. Cader has consistently demonstrated leadership in research, teaching, and academic development, particularly in the fields of artificial intelligence, computer science, and digital technologies. His research contributions, coupled with his active involvement in academic service, professional organizations, and international collaborations, solidify his standing as a leading figure in his domain.

Professional Development

Dr. Cader has participated in several professional development programs focused on effective communication, teaching and learning, and project-based learning. He has completed various certifications at QUT, enhancing his skills in pedagogy and curriculum development. His commitment to continuous improvement in education is evident in his active engagement in workshops and training sessions aimed at promoting best practices in teaching. As a Fellow of the Higher Education Academy, he champions high standards in academic instruction and student engagement.Β πŸ…πŸ“ˆπŸ“š

Research Focus

Dr. Cader’s research primarily focuses on artificial intelligence, data science, and document image analysis. He explores the synthesis and application of synthetic metals, aiming to develop innovative solutions in electronics and energy storage. His work on TCNQ chemistry has significant implications for biotechnology and medicine, including the construction of electrochemical sensors and drug delivery systems. By synthesizing novel compounds, he contributes to advancements in both theoretical and practical aspects of computer science and materials research.Β πŸ”¬βš™οΈπŸŒ

Awards and Honors

  • Senate Honours Award for High Impact PublicationsΒ – SEUSL (2022 & 2023)Β πŸ†
  • Queensland University of Technology Postgraduate Award (QUTPRA)Β (2015)Β πŸ“œ
  • Faculty Write Up (FWU) ScholarshipΒ – QUT, Australia (2019)Β πŸ“š
  • Effective Communication in Teaching and LearningΒ – QUT, Australia (2019)Β πŸ—£οΈ
  • Foundation of Teaching and LearningΒ – QUT (2018)Β πŸŽ“

Publication Top NotesΒ 

  • Locating tables in scanned documents for reconstructing and republishingΒ | Cited by: 46 | Year: 2014Β πŸ“„πŸ”
  • Plagiarism Detection on Electronic Text based Assignments using Vector Space Model (ICIAfS14)Β | Cited by: 37 | Year: 2014Β πŸ“ŠβœοΈ
  • AntiPlag: Plagiarism Detection on Electronic Submissions of Text Based AssignmentsΒ | Cited by: 34 | Year: 2014Β πŸ“„πŸ›‘οΈ
  • Plagiarism detection tools and techniques: A comprehensive surveyΒ | Cited by: 23 | Year: 2021Β πŸ”ŽπŸ“š
  • Fingerprint Systems: Sensors, Image Acquisition, Interoperability and ChallengesΒ | Cited by: 11 | Year: 2023Β πŸ–οΈπŸ“·
  • Contactless finger recognition using invariants from higher order spectra of ridge orientation profilesΒ | Cited by: 10 | Year: 2018Β βœ‹πŸ“
  • Accelerating text-based plagiarism detection using GPUsΒ | Cited by: 10 | Year: 2015Β βš‘πŸ’»
  • Contactless multiple finger segments based identity verification using information fusion from higher order spectral invariantsΒ | Cited by: 9 | Year: 2018Β πŸ–οΈπŸ”—

Dr. Zhe Yuan | Deep Learning Awards | Best Researcher Award

Dr. Zhe Yuan | Deep Learning Awards | Best Researcher AwardΒ 

Dr. Zhe Yuan, xidian University, China

Zhe Yuan is a Ph.D. student at Xidian University, Xi’an, Shaanxi, specializing in cutting-edge research in image processing, small object detection using deep learning, and unmanned aerial vehicle (UAV) technology. He earned his Master’s degree from Shaanxi University of Technology (2019-2022) and has industry experience as a Testing Engineer at TPRI (2022-2023). His research contributions include pioneering techniques for small target detection in UAV remote sensing images, emphasizing advanced multi-scale fusion attention mechanisms and adaptive weighted feature fusion. Zhe has published multiple influential works in renowned journals, such as Remote Sensing, and collaborated on projects addressing dynamic electromagnetic forces in water-lubricated bearings, showcasing his interdisciplinary expertise. His innovative research has been cited and recognized internationally, reinforcing his position as a promising researcher in his field.

Professional Profile:

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Suitability for the Research for Best Researcher Award

Zhe Yuan has demonstrated exceptional contributions to fields such as image processing, small object detection using deep learning, and UAV technology. His research showcases a clear focus on impactful and innovative solutions, aligning well with the criteria for the Research for Best Researcher Award. Below is a summary of his suitability.

Education πŸŽ“

  • Ph.D. Student (2023/09–Present): Xidian University
  • Testing Engineer (2022/06–2023/07): TPRI
  • Master’s Degree (2019/09–2022/06): Shaanxi University of Technology

Research Directions πŸ”¬

  • Image Processing πŸ–ΌοΈ
  • Small Object Detection Using Deep Learning πŸ€–
  • Unmanned Aerial Vehicle (UAV) Technology 🚁

Publication top Notes:

Dynamic variation mechanism of electromagnetic force for loading device of water⁃lubricated bearing

Small Object Detection in UAV Remote Sensing Images Based on Intra-Group Multi-Scale Fusion Attention and Adaptive Weighted Feature Fusion Mechanism

YuanZ,NWang,Wang P,et al. Research on Non- contact Electromagnetic Loading Device for Water- lubricated Bear ng[J]. Journal of Physics: Conference Series, 2020, 1624(6):062020 (7pp).

Dynamic electromagnetic force variation mechanism and energy loss of a non-contact loading device for a water-lubricated bearing

Research on Non-contact Electromagnetic Loading Device for Water-lubricated Bearing