Prof. Ching Yee Suen | Artificial Intelligence | Best Researcher Award

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Prof. Ching Yee Suen | Artificial Intelligence | Best Researcher Award

Prof. Ching Yee Suen, Concordia University, Canada

Prof. Ching Yee Suen is a globally recognized expert in Pattern Recognition, AI, and Document Analysis. As the Founding Director and Co-Director of CENPARMI at Concordia University, he has shaped advancements in handwriting recognition, multiple classifiers, and font analysis. A Fellow of IEEE, IAPR, and the Royal Society of Canada, he has mentored 120+ graduate students and 100 visiting scientists. With 550+ research papers, 16 books, and an h-index of 74, his contributions are widely cited. His innovations power millions of devices worldwide. He has led $20M+ research projects, collaborated with global industries, and serves as an editor for top-tier journals.

🌍 Professional Profile:

Google Scholar

🏆 Suitability for Best Researcher Award 

Prof. Suen is an exceptional candidate for the Best Researcher Award due to his pioneering contributions in AI, pattern recognition, and handwriting analysis. His research has real-world impact, with millions of users benefiting from his handwriting recognition algorithms. He has received top international awards, including the King-Sun Fu Prize (2021) and ICDAR Award (2005). As a leading AI researcher, he has secured $20M+ in funding, supervised over 120 Ph.D. and master’s students, and led groundbreaking industrial collaborations. His global influence, leadership in AI, and outstanding research output make him a worthy recipient of this prestigious honor.

🎓 Education 

Prof. Ching Yee Suen holds a Ph.D. from the University of British Columbia (UBC), Vancouver, and a Master’s degree from the University of Hong Kong. His academic journey has been marked by a deep focus on Artificial Intelligence, Pattern Recognition, and Computational Vision. His early research laid the foundation for his groundbreaking work in handwriting recognition, document analysis, and AI-powered classification systems. He has spent sabbatical leaves at MIT, McGill University, Ecole Polytechnique, and IBM, further expanding his expertise. His academic credentials have established him as a leading scholar in AI and pattern recognition on a global scale.

💼 Experience 

With a career spanning 50+ years, Prof. Suen has held key leadership roles at Concordia University, serving as Chairman of Computer Science, Associate Dean (Research), and Concordia Chair in AI & Pattern Recognition. He is the Founding Director and Co-Director of CENPARMI, where he has driven cutting-edge research. He has supervised 120+ graduate students and collaborated with top institutions worldwide. As a consultant to Microsoft, Xerox, Canada Post, and the US Congress, his work has had real-world impact. His editorial leadership in top AI journals and conference organization further cements his global influence in the research community.

🏅 Awards and Honors

Prof. Suen’s excellence is recognized globally, earning him top honors in AI and pattern recognition. He received the King-Sun Fu Prize (2021) 🏆, the ICDAR Award (2005) 🎖️, and the Elsevier Distinguished Editorial Award (2016)📜. His Concordia Lifetime Research Achievement Award (2008) and Teaching Excellence Award (1995) 🎓 highlight his impact in academia. Internationally, he was honored with the Gold Medal from the University of Bari, Italy (2012) 🥇. As a Fellow of IEEE, IAPR, and the Royal Society of Canada, his contributions to AI, document analysis, and handwriting recognition are celebrated at the highest levels.

🔬 Research Focus 

Prof. Suen specializes in Pattern Recognition, Artificial Intelligence, and Document Analysis. His innovations in handwriting recognition, fake coin detection, license plate recognition, and multi-classifier systems have transformed industry applications. His research integrates AI, deep learning, and image processing to solve complex problems in computer vision, natural language processing, and fraud detection. His high-impact contributions are widely used in mobile devices, banking security, and postal services. His multi-disciplinary approach in AI has led to real-world solutions adopted by Microsoft, Bell Canada, Canada Post, and global tech firms, making him a pioneer in intelligent pattern analysis.

📊 Publication Top notes:

  • Title: Developing Knowledge Management Metrics for Measuring Intellectual Capital
    • Year: 2000
    • Citations: 442
  • Title: Modified Hebbian Learning for Curve and Surface Fitting
    • Year: 1992
    • Citations: 322
  • Title: N-Gram Statistics for Natural Language Understanding and Text Processing
    • Year: 1979
    • Citations: 315
  • Title: Analysis and Design of a Decision Tree Based on Entropy Reduction and Its Application to Large Character Set Recognition
    • Year: 1984
    • Citations: 176
  • Title: Large Tree Classifier with Heuristic Search and Global Training
    • Year: 1987
    • Citations: 102

 

 

Mr. Leonard Nnadi | Explainable Artificial Intelligence | Best Researcher Award

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Mr. Leonard Nnadi | Explainable Artificial Intelligence | Best Researcher Award

Mr. Leonard Nnadi, The University of Aizu, Japan

Mr. Leonard Chukwualuka Nnadi is currently pursuing a Ph.D. at the University of Aizu, Japan, focusing on machine learning and artificial intelligence. He holds a Master’s degree in Information Technology from the Federal University of Technology, Owerri, specializing in Information and Communication Technologies, and a Bachelor’s degree in Computer Science from the University of Nigeria, Nsukka. Leonard has made significant contributions as an Assistant Lecturer at the Federal University of Technology, Owerri, where he mentors undergraduate students in Python programming, supervises thesis projects, and teaches courses in data structures and algorithms. His dedication to academic excellence and leadership in education underscore his commitment to fostering learning and advancing technology.

Professional Profile:

Scopus

🎓 Educational Journey:

Leonard Chukwualuka Nnadi is currently pursuing a Ph.D. at the University of Aizu, Japan, focusing on machine learning and artificial intelligence. He holds a Master’s degree in Information Technology from the Federal University of Technology, Owerri, where he specialized in Information and Communication Technologies. His academic path began with a Bachelor’s degree in Computer Science from the University of Nigeria, Nsukka, showcasing his dedication to advancing his expertise in technology and computer science.

💼 Professional Experience:

As an Assistant Lecturer at the Federal University of Technology, Owerri, Leonard has played a pivotal role in shaping the next generation of programmers. He has actively contributed to the education sector by training undergraduate students in Python programming, supervising thesis projects, and teaching courses in data structures and algorithms. His commitment to academic excellence and his leadership in educational initiatives highlight his passion for sharing knowledge and fostering learning.

Publication Top Notes:

  • Title: Prediction of Students’ Adaptability Using Explainable AI in Educational Machine Learning Models
    • Year: 2024
  • Title: An Intelligent Model for Improved Breast Cancer Prognosis
    • Year: 2023

 

Prof. Subir Das | Neural Networks | Best Researcher Award

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Prof. Subir Das | Neural Networks | Best Researcher Award

Prof.Subir Das, Indian Institute of Technology (BHU) Varanasi, India

Prof. Subir Das is a distinguished Professor in the Department of Mathematical Sciences at the Indian Institute of Technology (BHU), Varanasi, India. Additionally, he holds the position of Visiting Professor at UCSI University in Kuala Lumpur, Malaysia. With a solid educational background, Subir earned his M.Sc. in Applied Mathematics and subsequently completed his Ph.D. in Science, being honored with the Griffith Memorial Award in Science from the University of Calcutta in 2001. Renowned for his expertise, Subir’s research interests span diverse areas such as Fracture Mechanics, Fractional Calculus, Mathematical Modeling, and Nonlinear Dynamics. His significant contributions to these fields have earned him recognition, including being listed among the world’s top 2% scientists in a global database curated by Stanford University, California, USA. With a passion for advancing mathematical sciences, Subir Das continues to leave an indelible mark in his academic journey.

🌐 Professional Profile:

Scopus

Orcid

Google Scholar

🎓 Education:

  • M. Sc. (Applied Mathematics)
  • Ph. D. (Science)
  • Recipient of the Griffith Memorial Award in Science from the University of Calcutta in 2001.

🔍 Research Interests:

  • Fracture Mechanics
  • Fractional Calculus
  • Mathematical Modelling
  • Nonlinear Dynamics

🌐 Recognition:

  • Listed among the WORLD’S TOP 2% SCIENTISTS in a world database created by Stanford University, California, USA.

🏆 Awards:

He was honored with the Griffith Memorial Award in Science by the University of Calcutta in 2001, recognizing his outstanding contributions to the field.

🔬 Research Focus:

Prof. Das has made significant contributions to various areas, including Fracture Mechanics, Fractional Calculus, Mathematical Modelling, and Nonlinear Dynamics. His research reflects a deep understanding of these subjects and contributes to advancements in the mathematical sciences

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 186 documents indexed in Scopus.
  • 📊 Citations: A total of 3,164 citations for his publications, reflecting the widespread impact and recognition of Prof. Subir Das’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 4167 📖
    • h-index: 33 📊
    • i10-index: 104 🔍
  • Since 2018:
    • Citations: 2327 📖
    • h-index: 24 📊
    • i10-index: 74 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publication   Top  Notes: