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

 

 

Dr. Mani shekhar Gupta | AI in Network System | Excellence in Research

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Dr. Mani shekhar Gupta | AI in Network System | Excellence in Research Award

Dr. Mani shekhar Gupta | Adani University, Ahmedabad | India

📚 Dr. Mani Shekhar Gupta is an Assistant Professor at Adani University, Ahmedabad, with a Ph.D. in Electronics and Communication Engineering from NIT Hamirpur. 🚀 His research spans cognitive radio networks, vehicular networks, resource allocation, AI, and next-gen wireless technologies. 📡 With over 11 years of academic and research experience, he has contributed significantly through projects at IIT Delhi and NIT Hamirpur. 👨‍🏫 A passionate educator and innovator, Dr. Gupta excels in machine learning, green networks, and intelligent transportation systems. 💡 His dynamic approach blends technical expertise with a love for teaching and discovery. 🌟

Professional Profile:

Google Scholar

Suitability for the Excellence in Research Award

Dr. Mani Shekhar Gupta is highly suitable for the Excellence in Research Award due to his extensive academic background, impactful research contributions, and innovative approaches in the fields of cognitive radio networks, vehicular networks, resource allocation, artificial intelligence, and next-generation wireless technologies. His career, spanning over 11 years, reflects a deep commitment to advancing technological frontiers and fostering academic excellence.

Education 📖 & Experience 👨‍💼 

  • 📜 Ph.D. in Electronics & Communication Engineering, NIT Hamirpur (2017–2021) – CGPI 9.5
  • 🎯 M.Tech. in Electronics & Communication Engineering, NIT Hamirpur (2009–2011) – CGPI 8.49
  • 🏅 B.Tech. in Electronics & Communication, UPTU, Lucknow (2005–2009) – 74.42%
  • 👨‍🏫 Assistant Professor, Adani University (2022–Present)
  • 🔬 Postdoctoral Researcher, IIT Delhi (2021–2022)
  • 🎓 Ph.D. Research Scholar, NIT Hamirpur (2017–2021)
  • 👨‍💼 Assistant Professor, PSIT Kanpur (2011–2017)

Professional Development 

🌐 Dr. Gupta actively engages in continuous professional growth through memberships in global organizations like IEEE 📡, EAI 🇪🇺, IACSIT 🇸🇬, IAENG 🇭🇰, and IAAM 🌍. His participation spans technical communities focusing on e-Government, IoT 🌐, Smart Cities 🏙️, and Autonomous Driving 🚗. He’s also a member of humanitarian groups like IEEE SIGHT 🤝. Through conferences, workshops, and collaborative projects, Dr. Gupta refines his expertise in wireless networks, machine learning 🤖, and green technologies 🌱, ensuring he stays at the forefront of innovation and academic excellence. 🚀

Research Focus 

🔍 Dr. Gupta’s research focuses on cognitive radio networks 📡, vehicular networks 🚗, and resource allocation strategies for next-generation wireless systems 📶. His work integrates AI 🤖 and machine learning to enhance spectrum management, optimize network efficiency, and support intelligent transportation systems 🚦. He explores green network technologies 🌱, aiming to reduce environmental impact while improving connectivity. His contributions to 5G and beyond involve proactive spectrum sharing, game theory applications 🎯, and cooperative uplink-downlink strategies, making his research pivotal for smart cities 🏙️ and sustainable communication infrastructures. 🌍

Awards & Honors 🏆 

(No specific awards or honors mentioned in the provided details. If you have any, please share for accurate updates.)

  • 🏅 IEEE Membership & Active Roles in Multiple Societies
  • 🌟 Recognized Contributor in DST-SERB & BASF Research Projects
  • 📜 International Memberships: IACSIT 🇸🇬, IAENG 🇭🇰, IAAM 🌍

Publication Top Notes:

📡 Progression on Spectrum Sensing for Cognitive Radio Networks: A Survey, Classification, Challenges, and Future Research Issues  📑 Cited by 164
🌿 Energy Efficient Transmission Trends Towards Future Green Cognitive Radio Networks (5G): Progress, Taxonomy, and Open Challenges 📑 Cited by 114
🚗 Application Aware Networks’ Resource Selection Decision Making Technique Using Group Mobility in Vehicular Cognitive Radio Networks  📑 Cited by 32
📶 A Survey on NOMA Techniques for 5G Scenario  📑 Cited by 24
🔀 Seamless Vertical Handover for Efficient Mobility Management in Cooperative Heterogeneous Networks 📑 Cited by 20

 

 

 

Mr. Ashok Yadav | Computational Intelligence | Best Researcher Award

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Mr. Ashok Yadav | Computational Intelligence | Best Researcher Award

Mr. Ashok Yadav, Indian Institute of Information Technology Allahabad, India

Mr. Ashok Yadav is a distinguished researcher in the field of cybersecurity, natural language processing (NLP), social network analysis, and offensive content detection. He holds a Ph.D. from the Indian Institute of Information Technology Allahabad, where his thesis focused on detecting and countering offensive content. Mr. Yadav also completed his M.Tech. in Cyber Security from AKTU Lucknow, specializing in intrusion detection and prevention in wireless sensor networks. He holds a B.Tech. in Computer Science from the School of Management Sciences, Lucknow. With a deep interest in cybercrime, OSINT (Open Source Intelligence), and hate speech, Mr. Yadav has contributed significantly to the academic and practical understanding of these areas. His work spans across multiple domains, including deep learning, computational intelligence, and social media networks. Mr. Yadav is actively involved in academic conferences and serves as a reviewer for several prestigious journals. 🖥️🔐📚

Professional Profile

Google Scholar

Suitability for Award 

Mr. Ashok Yadav is highly suitable for the Research for Best Researcher Award due to his outstanding contributions to cybersecurity, NLP, and social network analysis. His research on offensive content detection, tracking, and counter-generation has had a significant impact on mitigating cyber threats and addressing harmful speech on digital platforms. Mr. Yadav’s deep understanding of emerging technologies such as deep learning, OSINT, and computational intelligence positions him as a leader in his field. His active participation in global conferences like the ACL and his role as a reviewer for notable journals further highlight his academic influence. Mr. Yadav’s commitment to advancing cybersecurity and his contributions to combating hate speech and cybercrime make him a deserving candidate for this prestigious award. His research not only addresses current challenges in cybersecurity but also provides innovative solutions for the future. 🏆💻🌍

Education

Mr. Ashok Yadav has a strong academic background, with a focus on cybersecurity, NLP, and social network analysis. He completed his Ph.D. in Computer Science from the Indian Institute of Information Technology Allahabad in 2021, specializing in offensive content detection and tracking. His doctoral thesis, titled Offensive Content Detection, Tracking, and Counter Generation, reflects his expertise in combating harmful speech in digital environments. Prior to his Ph.D., Mr. Yadav earned an M.Tech. in Cyber Security from AKTU Lucknow, where his research on intrusion detection and prevention in wireless sensor networks earned recognition. He also holds a B.Tech. in Computer Science from the School of Management Sciences, Lucknow. Mr. Yadav’s academic journey is complemented by certifications from the SANS Institute, including training in Cyber Threat Intelligence, Digital Forensics, and Open-Source Intelligence. His educational background has equipped him with a deep understanding of both theoretical and practical aspects of cybersecurity. 🎓💡🔐

Experience 

Mr. Ashok Yadav has extensive experience in both academia and industry, particularly in the fields of cybersecurity, NLP, and social network analysis. He is currently pursuing advanced research in offensive content detection, hate speech, and cybercrime. His professional journey includes serving as a reviewer for several prestigious journals, such as the Cloud Computing and Data Science Journal and the International Research Journal of Multidisciplinary Technovation. Mr. Yadav has also been actively involved in international conferences, including the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), where he contributed to the main track and demonstration track. He has attended various SANS Institute training summits, enhancing his expertise in Cyber Threat Intelligence, Digital Forensics, and Open-Source Intelligence. Mr. Yadav’s practical experience in cybersecurity and his contributions to the academic community make him a valuable asset in his field. 💼🌐🔍

Awards and Honors

Mr. Ashok Yadav has received several prestigious certifications and accolades for his contributions to cybersecurity and digital forensics. He was awarded the Gate Qualification in Computer Science and Information Technology in 2019, demonstrating his expertise in the field. In 2020, he qualified for the UGC-Net Assistant Professor in Computer Science and Application. Mr. Yadav’s active participation in high-profile conferences such as the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), where he was an attendee, further highlights his academic recognition. He has also been recognized for his contributions as a reviewer for prominent journals, including the Cloud Computing and Data Science Journal and the International Research Journal of Multidisciplinary Technovation. Additionally, Mr. Yadav has earned multiple certifications from the SANS Institute in Cyber Threat Intelligence, Digital Forensics, and Open-Source Intelligence, further solidifying his standing in the cybersecurity community. 🏅🎖️🌟

Research Focus 

Mr. Ashok Yadav’s research focus lies at the intersection of cybersecurity, natural language processing (NLP), social network analysis, and offensive content detection. His work on detecting and countering hate speech and offensive content on digital platforms addresses a growing concern in today’s internet-driven society. His Ph.D. research on Offensive Content Detection, Tracking, and Counter Generation has contributed significantly to the development of automated systems that can identify and mitigate harmful speech online. Mr. Yadav is also deeply involved in exploring the use of deep learning, computational intelligence, and OSINT (Open-Source Intelligence) in the detection of cyber threats and cybercrime. His research aims to create innovative solutions for tackling the challenges posed by cyberattacks, misinformation, and online hate speech. Through his work, Mr. Yadav seeks to enhance the security and integrity of online spaces, making them safer for users. 🔐💻🧠

Publication Top Notes

  • Title: Open-source Intelligence: A Comprehensive Review of the Current State, Applications, and Future Perspectives in Cyber Security
    • Cited by: 32
    • Year: 2023
  • Title: Intrusion Detection and Prevention Using RNN in WSN
    • Cited by: 12
    • Year: 2022
  • Title: Detecting SQL Injection Attack Using Natural Language Processing
    • Cited by: 8
    • Year: 2022
  • Title: Detecting Malware in Android Applications by Using Androguard Tool and XGBoost Algorithm
    • Cited by: 2
    • Year: 2022
  • Title: HateFusion: Harnessing Attention-Based Techniques for Enhanced Filtering and Detection of Implicit Hate Speech
    • Year: 2024

 

Dr. Kuanxin Shen | Artificial intelligent Awards | Best Researcher Award

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Dr. Kuanxin Shen | Artificial intelligent Awards | Best Researcher Award

Dr. Kuanxin Shen , Shenyang University of Technology , China

Kuanxin Shen, a 27-year-old PhD candidate in Control Science and Engineering at Shenyang University of Technology, China, focuses his research on 3D Gaze Estimation using neural networks and deep learning. He holds a Bachelor’s degree earned in 2021 and a Master’s degree obtained in 2024. From 2022 to 2024, Kuanxin worked as an Algorithm Developer at Ningbo Chunjian Electronic Technology Co., Ltd., specializing in 3D intelligent perception in automotive cockpits. His research achievements include a Chinese utility model patent, several Chinese computer software copyrights, and three Chinese invention patents related to 3D eye tracking and gaze estimation. Kuanxin has also authored a book on industrial robot simulation and published a paper in the journal Sensors. He has been recognized with the third prize in the Henan Province College Students’ Robot Innovation Competition, a first-class academic scholarship, and the Excellent Thesis Award from Liaoning Province for his master’s thesis.

Professional Profile:

Orcid

🎓Educational Background:

Kuanxin Shen earned his Bachelor’s degree in 2021 and obtained his Master’s degree in 2024. He is currently pursuing a PhD in Control Science and Engineering at Shenyang University of Technology, China.

🏢Work Experience:

From 2022 to 2024, Kuanxin Shen worked as an Algorithm Developer at Ningbo Chunjian Electronic Technology Co., Ltd., specializing in 3D intelligent perception in automotive cockpits. His responsibilities included driver gaze detection, skeleton landmark detection, behavior detection (such as smoking and phone usage), and the detection of driver distraction and fatigue. His tasks encompassed image processing, 3D detection, data annotation, cleaning, augmentation, neural network training, and model testing.

🏆Awards and Recognitions:

During his undergraduate studies, Kuanxin Shen won the Third Prize in the 6th Henan Province College Students’ Robot Innovation Competition. In April 2024, he was awarded the First-Class Academic Scholarship during his master’s studies. In May 2024, his master’s thesis titled “Research on the Application of Driver Gaze Estimation Technology in DMS” received the Excellent Thesis Award from Liaoning Province, China

Publication Top Notes:

Title: Model-Based 3D Gaze Estimation Using a TOF Camera

  • Journal: Sensors