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

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

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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โœ… 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

๐ŸŽ“ Education

  • ๐Ÿฅ‡โ€ฏ2004: B.Sc. (Honor) in Information and Technology Systems โ€“ Zagazig University, Egypt

  • ๐Ÿ“šโ€ฏ2012: M.Sc. in Computers and Informatics โ€“ Menoufia University, Egypt
    โ€ƒโ€ƒ๐Ÿ“˜ Thesis: “Developing an Intelligent Technique in Web Mining”

  • ๐ŸŽ“โ€ฏ2018: Ph.D. in Computers and Informatics โ€“ Menoufia University, Egypt
    โ€ƒโ€ƒ๐Ÿ“— Thesis: “Privacy Preserving in Social Networks”

๐Ÿ‘จโ€๐Ÿซ Academic Work Experience

  • ๐Ÿ‡ธ๐Ÿ‡ฆโ€ฏ2024โ€“Present: Assistant Professor, Faculty of Computing and Information โ€“ Al-Baha University, Saudi Arabia

  • ๐Ÿ‡ช๐Ÿ‡ฌโ€ฏ2022โ€“2023: Assistant Professor, CSIT โ€“ Egypt-Japan University of Science and Technology

  • ๐Ÿ‡ช๐Ÿ‡ฌโ€ฏ2018โ€“2022: Assistant Professor, Faculty of Computers & AI โ€“ Beni-Suef University

  • ๐Ÿ‡ช๐Ÿ‡ฌโ€ฏ2015โ€“2018: Lecturer Associate, Faculty of Information Technology โ€“ MUST University

  • ๐Ÿ‡ช๐Ÿ‡ฌโ€ฏ2014: Lecturer Associate, Faculty of Computers & Information โ€“ Beni-Suef University

  • ๐Ÿ‡ช๐Ÿ‡ฌโ€ฏ2012: Lecturer Associate, CSC โ€“ October 6 University

  • ๐Ÿ‡ช๐Ÿ‡ฌโ€ฏ2006โ€“2012: Teaching Assistant, CSC โ€“ October 6 University

๐Ÿ† Achievements & Honors

  • ๐Ÿง  SAS Certified: Machine Learning, Visual Analytics, Business Planning

  • ๐Ÿ’ก Developed systems for international conferences

  • ๐ŸŒ Peer Reviewer for top journals & publishers (Inderscience, Springer, EAI, etc.)

  • ๐Ÿงฌ Co-supervisor for Ph.D. and Master’s students in AI, bioinformatics, and precision medicine

  • ๐Ÿฅ‡ Honor degree in B.Sc.

  • ๐Ÿ‘ฉโ€โš– STEM Judge: INTEL ISEF & Graduation Projects

  • ๐Ÿ’ผ Speaker and participant in events by DAAD, UNESCO, Microsoft, SAS, Oracle

  • ๐ŸŒฑ Founder of IGreen (Intelligent Adaptive Environmental Farm)

  • ๐Ÿš€ Participated in entrepreneurship programs (Start Egypt, Flat6Labs)

  • ๐Ÿงญ Bridging analytics and IT knowledge for social development

Publicationย 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

Ms. Congying Sun | Object Detection Awards | Best Researcher Award

Ms. Congying Sun | Object Detection Awards | Best Researcher Awardย 

Ms. Congying Sun, Xiโ€™an University of Technology, China

Congying Sun, a native of Xianyang City, Shaanxi Province, is an emerging researcher specializing in control science, engineering, and multi-modal remote sensing technologies. She earned her Bachelorโ€™s degree in Printing Engineering from Xiโ€™an University of Technology in 2022 and is currently pursuing a Masterโ€™s degree in Control Science and Engineering at the same institution, expected to graduate in 2025. Her professional experience includes a tenure at the Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, where she played a pivotal role in developing an infrared-visible aircraft image dataset and deploying state-of-the-art infrared small target detection models. Congying has demonstrated her ability to merge academic excellence with practical application through her contributions to national and engineering projects, including research on multi-source collaborative intelligent perception technology for aircraft and non-cooperative multi-target classification and cognition technology.

Professional Profile:

ORCID

Suitability of Congying Sun for theย Best Researcher Award

Congying Sun demonstrates exceptional qualifications and accomplishments, making her an outstanding candidate for the Research for Best Researcher Award. Below is a summary of her key achievements and strengths

๐ŸŽ“ Education

  • Masterโ€™s Degree in Control Science and Engineering (August 2022 – July 2025)
    ๐Ÿซ Xi’an University of Technology
  • Bachelorโ€™s Degree in Printing Engineering (September 2018 – July 2022)
    ๐Ÿซ Xi’an University of Technology

๐Ÿง‘โ€๐Ÿ’ป Professional Experience

Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences (July 2023 – August 2024)

  • ๐Ÿ“ธ Independently created an infrared-visible aircraft image dataset, including camera selection, data collection, and image annotation.
  • ๐Ÿ“ Authored project proposals, research papers, and patents with great precision.
  • ๐Ÿค– Developed and deployed infrared small target detection models and multi-modal remote sensing image fusion detection models.

๐Ÿš€ Research Projects

  • Multi-source Collaborative Intelligent Perception Technology for Aircraft (August 2023 – June 2024) โœˆ๏ธ
  • Non-cooperative Multi-target Classification and Cognition Technology (October 2023 – March 2024) ๐ŸŽฏ

๐Ÿ… Achievements

  • Granted Invention Patents:
    • ๐Ÿ“œ Infrared Small Target Detection Method (CN118762159A)
    • ๐Ÿ“œ Multi-modal Feature Fusion Target Detection Model and Method (CN118865046A)

๐Ÿ’ก Research Interests

๐Ÿ” Machine Learning | ๐ŸŒ Multi-modal Remote Sensing | ๐ŸŽฏ Target Detection

Congying Sunโ€™s innovative approach, technical expertise, and impactful contributions to cutting-edge research make her a rising star in the field of control science and engineering. ๐ŸŒŸ

Publication Top Notes:

Location-Guided Dense Nested Attention Network for Infrared Small Target Detection

MMYFnet: Multi-Modality YOLO Fusion Network for Object Detection in Remote Sensing Images