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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ORCID

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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

Dr. Peng Zhi | Deep Learning | Best Researcher Award

Dr. Peng Zhi | Deep Learning | Best Researcher AwardΒ 

Dr. Peng Zhi, Lanzhou University, China

Peng Zhi is a Ph.D. candidate in Computer Science at Lanzhou University, China, specializing in computer vision, deep learning, and autonomous driving. He earned his Bachelor’s and Master’s degrees in Computer Science and Technology from Lanzhou University in 2017 and 2020, respectively. His research focuses on LiDAR-camera fusion, 3D object detection, and AI applications in intelligent transportation systems. He has published several high-impact papers in renowned journals and conferences, contributing to advancements in autonomous vehicle perception and artificial intelligence. Additionally, he has co-authored the book Theories and Practices of Self-Driving Vehicles, further solidifying his expertise in the field.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Peng Zhi is a strong candidate for the Best Researcher Award, given his innovative contributions to computer vision, deep learning, and autonomous driving. As a Ph.D. candidate at Lanzhou University, he has been actively involved in research that enhances LiDAR-based 3D object detection, cross-domain generalization, and deep learning applications in autonomous systems.

πŸŽ“ Education

  • Ph.D. in Computer Application Technology (2021 – Present)
    Lanzhou University, Lanzhou, China
  • Master’s in Computer System Architecture (2017 – 2020)
    Lanzhou University, Lanzhou, China
  • Bachelor’s in Computer Science and Technology (2013 – 2017)
    Lanzhou University, Lanzhou, China

πŸ’Ό Work Experience

  • Ph.D. Candidate & Researcher (2021 – Present)
    Lanzhou University, Lanzhou, China

    • Conducts advanced research in computer vision, deep learning, and autonomous driving
    • Publishes in top-tier journals and conferences
    • Develops LiDAR and camera fusion models for 3D object detection

πŸ† Achievements & Contributions

  • Published Multiple Research Papers πŸ“„ in top journals and conferences, including Tsinghua Science and Technology, Electronic Research Archive, and IEEE ITSC
  • Author of a Book on Self-Driving Vehicles πŸ“˜ Theories and Practices of Self-Driving Vehicles (Elsevier, 2022)
  • Developed DefDeN Model πŸ€– A deformable denoising-based LiDAR and camera feature fusion model for 3D object detection
  • Research on Autonomous Driving πŸš— Focused on boundary distribution estimation and cross-domain generalization for LiDAR-based 3D object detection

πŸ… Awards & Honors

  • Best Paper Award πŸ† at an International Conference on Intelligent Transportation Systems (ITSC)
  • Outstanding Researcher Award πŸŽ–οΈ at Lanzhou University for contributions to AI and autonomous driving
  • National Scholarship πŸ… for academic excellence in computer science and AI research

PublicationΒ Top Notes:

Cross-Domain Generalization for LiDAR-Based 3D Object Detection in Infrastructure and Vehicle Environments