Palanikumar S | Image and Signal Processing | Research Excellence Award

Dr. Palanikumar S | Image and Signal Processing | Research Excellence Award

Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering college, India

Dr. Palanikumar S. has a strong academic background in Mathematics, Electrical and Electronics Engineering, and Computer Science, having completed his schooling at Carmel Higher Secondary School, Nagercoil, followed by a B.E. in EEE from Government College of Engineering, Tirunelveli under Manonmaniam Sundaranar University, an M.E. in CSE from Government College of Technology, Coimbatore under Bharathiar University, and a Ph.D. in Computer Science and Engineering from Anna University; he has accumulated over two decades of teaching experience serving as Lecturer, Senior Lecturer, Assistant Professor, and Associate Professor at Noorul Islam institutions and currently as Professor at Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, along with prior industrial experience as an Automation System Engineer at Enpro Industrial Automation, Chennai, where he worked on software development, testing, and commissioning of automation systems; he has actively participated in numerous faculty development programs, training sessions, and certifications in areas such as multimedia security, cloud computing, data science, machine learning, Internet of Things, augmented and virtual reality, database programming, and Java/C++ programming through reputed institutions including IIT Kharagpur and AICTE initiatives; additionally, he has attended various seminars, workshops, and conferences covering topics like software testing, digital image processing, nanotechnology, research methodologies, cybersecurity, Python programming, data visualization, machine learning models, and emerging IT technologies, demonstrating continuous professional development; he has also contributed to academic resources by developing teaching materials such as Object-Oriented Analysis and Design (OOAD) content to support student learning, reflecting his commitment to teaching excellence, research engagement, and staying updated with evolving technological advancements in computer science and engineering.

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Featured Publications


Automatic Nucleus-Level Breast Cancer Detection System

– Journal of Advanced Research in Dynamical and Control Systems, 2019


Color-Texture Based Feature Modeling for Content-Based Video Retrieval

– Journal of Advanced Research in Dynamical and Control Systems, 2019


Retinal Abnormalities in Prodromal Stage Detection of Alzheimer’s Disease: A Review

– Journal of Advanced Research in Dynamical and Control Systems, 2019


Multi-Resolution Feature Combined with ODBTC Technique for Robust CBIR System

– International Journal of Signal and Imaging Systems Engineering, 2018

 

Prof. Dr. Chih-Hsien Hsia | Image Processing | Best Researcher Award

Prof. Dr. Chih-Hsien Hsia | Image Processing | Best Researcher Award

National Ilan University, Taiwan.

Chih-Hsien Hsia is a distinguished professor and researcher in computer science, specializing in DSP IC Design, Computer Vision, Image Processing, and Cognitive Engineering. He holds dual Ph.D. degrees in Engineering Science from National Cheng Kung University and Electrical & Computer Engineering from Tamkang University, Taiwan. Currently, he serves as a Distinguished Professor at National Ilan University and holds key positions in AI research, industry collaborations, and professional organizations. His contributions to AI, image processing, and intelligent systems have earned him prestigious awards and widespread recognition.

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🎓 Education

Prof. Dr. Chih-Hsien Hsia holds dual Ph.D. degrees in Engineering Science from National Cheng Kung University, Taiwan, and Electrical & Computer Engineering from Tamkang University, Taiwan. His expertise spans multiple engineering disciplines, with a strong focus on cutting-edge technological advancements and interdisciplinary research.

💼 Experience

Prof. Dr. Chih-Hsien Hsia is a Distinguished Professor at National Ilan University (2024 – Present) and serves as the Executive Director of the AI Promotion Office at the same institution. He is also the Director of the AIoX Research Center at National Ilan University (2024 – Present).

Beyond his role at NIU, he has been an Honorary Distinguished Professor at Chaoyang University of Technology since 2022 and a Board Member of the Chinese Society of Consumer Electronics since 2018. Additionally, he holds the position of Vice Chair of the IEEE Taipei Chapter Signal Processing Society (2024 – Present).

Previously, he served as a Professor at National Ilan University (2020 – 2024) and was the Chairperson of the Department of Computer Science at NIU from 2021 to 2024. His leadership and research contributions have significantly advanced AI, signal processing, and computer science education.

🔬 Research Interests

🖥 DSP IC Design

📷 Computer Vision & Image Processing

🧠 Cognitive Engineering

🏆 Awards & Honors

🥇 Taiwan International Science Fair (2025) – First Prize in Computer Science & Engineering

🏅 Best Paper Awards at IEEE Eurasia Conference on IoT, IET International Conference, National Defense Technology Academic Conference (2024)

🌟 World's Top 2% Scientists (2022)

🎖 Outstanding Young Scholar Award – Computer Society of the Republic of China (2018, 2020)

📚 Notable Publications

Finger Vein Recognition Based on Vision Transformer with Feature Decoupling for Online Payment Applications
IEEE Access, 2025 | DOI: 10.1109/ACCESS.2025.3552075
Contributors: Liang-Ying Ke, Yi-Chen Lin, Chih-Hsien Hsia

Artificial Intelligence and Machine Learning in Sensing and Image Processing
Sensors, 2025-03-18 | DOI: 10.3390/s25061870
Contributors: Jing Chen, Miaohui Wang, Chih-Hsien Hsia

An Edge-Cloud Collaborative Scalp Inspection System Based on Robust Representation Learning
IEEE Transactions on Consumer Electronics, 2024 | DOI: 10.1109/TCE.2024.3474911
Contributors: Sin-Ye Jhong, Guan-Ting Li, Chih-Hsien Hsia

Tucker Decomposition and Log-Gabor Feature-Based Quality Assessment for the Screen Content Videos
IEEE Transactions on Instrumentation and Measurement, 2024 | DOI: 10.1109/TIM.2024.3381267
Contributors: Hailiang Huang, Huanqiang Zeng, Jing Chen, Junhui Hou, Chih-Hsien Hsia, Kai-Kuang Ma

Width-Adaptive CNN: Fast CU Partition Prediction for VVC Screen Content Coding
IEEE Transactions on Multimedia, 2024 | DOI: 10.1109/TMM.2024.3410116
Contributors: Chao Jiao, Huanqiang Zeng, Jing Chen, Chih-Hsien Hsia, Tianlei Wang, Kai-Kuang Ma