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

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

Prof. Dr. Cedric Sueur, Université de Strasbourg, France

Cédric 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:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award – Cédric Sueur

Cédric 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.

🎓 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)

💼 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

🏆 Awards & Honors

  • 2025: Selected for the Lumexplore Prize by the French Society of Explorers 🏅

  • 2025: Selected for the François Sommer Prize 🏆

  • 2024-2029: Member of the “Institut Universitaire de France” 🎖️

  • 2023: Best Communication Prize at Aramos Congress 🏅

  • 2023: Named Best Scientist by Research.com 🌍

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

  • 2022: Named Best Scientist by Research.com 🏅

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

  • 2019-2024: Fellow of the Institut Universitaire de France 🎖️

  • 2017: Primates Social Impact Award 🏅

  • 2016: Changjiang Scholar Program Award (Visiting Professor at Sun-Yat Sen University, China) 🇨🇳

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

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

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

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

  • 2010: JSPS Alumni (Japan Society for the Promotion of Science) 🇯🇵

  • 2009: Fulbright Alumni 🇺🇸

  • 2009: Prize of the Society of Biology of Strasbourg for Best Thesis 📜

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

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

Publication Top Notes:

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Prof. Hsin-Yuan Chen | AI Awards | Outstanding Scientist Award

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Prof. Hsin-Yuan Chen | AI Awards | Outstanding Scientist Award

Prof. Hsin-Yuan Chen, Zhejiang University, Taiwan

H.Y. J. Chen is an accomplished researcher with expertise spanning multiple fields including bioengineering, materials science, and guidance system technologies. Holding a Web of Science ResearcherID (JSL-7102-2023) , Chen has an impressive H-index of 58, with over 11,000 citations accumulated from works published between January 2000 and March 2024. Some of Chen’s notable contributions include studies on biochar anodes for lithium-ion batteries, computational fluid dynamics (CFD) analysis of cormorant takeoff mechanisms, and innovations in van der Waals semiconductor photodetectors. Chen’s interdisciplinary work also extends into preprints and collaboration on machine learning applications in conformal field theories.

Professional Profile:

Scopus

Suitability Summary for Research for Outstanding Scientist Award

Researcher: H.Y. J. Chen

Summary:

H.Y. J. Chen stands out as a highly suitable candidate for the Research for Outstanding Scientist Award due to his exceptional contributions and interdisciplinary expertise across multiple scientific domains. Chen’s research spans bioengineering, materials science, and guidance system technologies, showcasing a profound impact on these fields.

🎓Education:

H.Y. J. Chen is an accomplished researcher with expertise in bioengineering, materials science, and guidance system technologies. Chen earned both his Master’s and Bachelor’s degrees, as well as a Ph.D., from Zhejiang University, Hangzhou, China.

Publication Top Notes:

  • Protective Effects of an Oligo-Fucoidan-Based Formula Against Osteoarthritis Development via iNOS and COX-2 Suppression Following Monosodium Iodoacetate Injection
    • Citations: 0
  • Hinokitiol Inhibits Breast Cancer Cells In Vitro Stemness-Progression and Self-Renewal with Apoptosis and Autophagy Modulation via the CD44/Nanog/SOX2/Oct4 Pathway
    • Citations: 1
  • Alleviating 3-MCPD-Induced Male Reproductive Toxicity: Mechanistic Insights and Resveratrol Intervention
    • Citations: 1
  • Hinokitiol as a Modulator of TLR4 Signaling and Apoptotic Pathways in Atopic Dermatitis
    • Citations: 1
  • Integrating Explainable Artificial Intelligence and Blockchain to Smart Agriculture: Research Prospects for Decision Making and Improved Security
    • Citations: 7

 

 

Mr. Omer Tariq | Artificial Intelligence Award | Best Researcher Award

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Mr. Omer Tariq | Artificial Intelligence Award | Best Researcher Award 

Mr. Omer Tariq, Korea Advanced Institute of Science and Technology, KAIST, South Korea

Omer Tariq is a Ph.D. candidate at the Korea Advanced Institute of Science and Technology (KAIST), specializing in efficient and privacy-preserving deep learning for AIoT and autonomous systems. With a strong foundation in digital ASIC design, embedded systems, and hardware design, Omer has over seven years of experience in developing and deploying innovative machine learning solutions using TensorFlow, TensorRT, and PyTorch. His research includes advanced robotics software systems, autonomous navigation, and state-of-the-art motion planning algorithms. He has led teams in high-performance SoC/RTL design and verification at the National Electronics Complex, Pakistan, and contributed to satellite imaging systems at SUPARCO. Omer holds a BSc in Electrical Engineering from the University of Engineering and Technology, Taxila, and has published several papers in prominent journals. His technical skills are complemented by a range of certifications in machine learning, data science, and digital signal processing.

Professional Profile:

Summary of Suitability for Best Researcher Award

Omer Tariq is a Ph.D. candidate specializing in efficient and privacy-preserving deep learning for AIoT and Autonomous Systems. His work is highly relevant to current technological advancements and addresses significant challenges in machine learning, robotics, and autonomous systems. His research includes:

Education

Korea Advanced Institute of Science and Technology (KAIST)
Doctor of Philosophy (Ph.D.) in Computer Science
May 2021 – July 2025

  • Majors: Machine Learning & AI
  • CGPA: 3.74/4.3
  • Coursework: Programming for AI, Introduction to Artificial Intelligence, Design and Analysis of Algorithms, Intelligent Robotics, Human-Computer Interaction, Artificial Intelligence and Machine Learning, Technical Writing for Computer Science, Advanced Machine Learning, IoT Datascience

University of Engineering and Technology (UET), Taxila
Bachelor of Science in Electrical Engineering
Nov 2010 – July 2014

  • CGPA: 3.25/4.0
  • Thesis: Computer Vision-Assisted Object Detection and Control Framework for 3-DoF Robotic Arm
  • Area: Microelectronics, Control Systems, and Advanced Computer Architecture

Work Experience

Department of Industrial & Systems Engineering (ISysE), KAIST
Research Assistant
Nov. 2023 – March 2024

  • Designed and developed the electronics and power management module for the DAIM-Autonomous Mobile Robot, enhancing operational efficiency and reliability.
  • Engineered advanced robotics software systems for autonomous navigation and task execution.
  • Implemented state-of-the-art robot motion planning, mapping, and localization (SLAM) algorithms to improve real-time navigation accuracy.

National Electronics Complex, Pakistan (NECOP)
Engineering Manager & Team Lead
Apr. 2019 – Sep. 2022

  • Led verification and validation of high-performance SoC/RTL designs, ensuring system performance and reliability.
  • Spearheaded RTL development and optimization for high-performance IC designs, including logic synthesis, DFT, scan chain insertion, formal verification, and static timing analysis.
  • Managed the use of Synopsys and Cadence EDA tools for front-end and back-end digital IC design processes.

National Space Agency, Pakistan (SUPARCO)
Assistant Manager
Oct. 2014 – Apr. 2019

  • Designed and developed satellite imaging payload systems for national satellite missions.
  • Engineered high-speed, multi-layer PCB designs and conducted signal/power integrity simulations for satellite systems.
  • Developed embedded systems for the Satellite Ku-Band Positioning Unit, enhancing communication and positioning capabilities.

Publication top Notes:

2D Particle Filter Accelerator for Mobile Robot Indoor Localization and Pose Estimation

TabCLR: Contrastive Learning Representation of Tabular Data Classification for Indoor-Outdoor Detection

Compact Walsh–Hadamard Transform-Driven S-Box Design for ASIC Implementations

DeepIOD: Towards A Context-Aware Indoor–Outdoor Detection Framework Using Smartphone Sensors

 

 

Prof. Changgyun Kim | Artificial Intelligence Award | Best Researcher Award

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Prof. Changgyun Kim | Artificial Intelligence Award | Best Researcher Award 

Prof. Changgyun Kim, Department of Artificial Intelligence & Software/Samcheok,South Korea

Changgyun Kim is an esteemed academic and researcher associated with Kangwon National University, Department of Artificial Intelligence & Software, and Dongguk University’s Industrial Engineering department in South Korea. His research expertise spans deep learning, healthcare, and data mining. He has made significant contributions to the field, including developing AI-based systems for detecting betting anomalies in sports, diagnosing tooth-related diseases using panoramic images, and creating models for obesity diagnosis using 3D body information. His work is published in renowned journals such as Scientific Reports, Annals of Applied Sport Science, JMIR Medical Informatics, Sensors, Sustainability, the International Journal of Distributed Sensor Networks, and Applied Sciences. Dr. Kim’s notable projects include establishing IoT-based smart factories for SMEs in Korea and developing web applications for obesity diagnosis using data mining methodologies. His extensive research portfolio underscores his commitment to advancing AI applications in various domains

Professional Profile:

ORCID

 

Education

No specific details about Changgyun Kim’s educational background are provided in the provided information. To give a more comprehensive overview, details such as degrees obtained, institutions attended, and fields of study would be needed.

Work Experience

  1. Dongguk University: Jung-gu, Seoul, KR
    • Department: Industrial Engineering
    • Position: Not specified in the provided information.
  2. Kangwon National University
    • Department: Artificial Intelligence & Software
    • Position: Not specified in the provided information.

Publication top Notes:

 

AI-based betting anomaly detection system to ensure fairness in sports and prevent illegal gambling

Detectability of Sports Betting Anomalies Using Deep Learning-based ResNet: Utilization of K-League Data in South Korea

Tooth-Related Disease Detection System Based on Panoramic Images and Optimization Through Automation: Development Study

Development of an Obesity Information Diagnosis Model Reflecting Body Type Information Using 3D Body Information Values

Development of a Web Application Based on Human Body Obesity Index and Self-Obesity Diagnosis Model Using the Data Mining Methodology

Establishment of an IoT-based smart factory and data analysis model for the quality management of SMEs die-casting companies in Korea