DEAN R&D, ANURADHA ENGINEERING COLLEGE, India
🔬 Short Biography 🌿💊📚
Dr. Yuhan Liu is an Associate Professor of Digital Media Art at the School of Architecture and Urban Planning, Huazhong University of Science and Technology, and a Research Fellow at several national key laboratories in China. She earned her Ph.D. in Digital Media and Publishing from Wuhan University, an M.S. in Publishing from Pace University, New York, and a B.A. in English from Chongqing University. Dr. Liu’s research focuses on the digitization of ethnic cultures—particularly Tibetan heritage—using artificial intelligence, metaverse technologies, and interactive storytelling. She also works on intelligent publishing platforms and digital cultural tourism systems. She has led and contributed to major national research programs funded by the National Natural Science Foundation of China and the Ministry of Science and Technology. Her work has earned her numerous national and international awards, including multiple first prizes at Milan Design Week China and the China Creative Challenges Contest.
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🎓 Education:
Dr. Santham Bharathy Alagarsamy holds a Ph.D. in Computer Science Engineering from Kalasalingam Academy of Research and Education, where he specialized in Digital Image Processing and Security (2016–2021). He is currently pursuing a Postdoctoral Fellowship at Lincoln University, Malaysia, focusing on advanced technologies in AI and security. He completed his M.E. in VLSI Design from Nehru Institute of Technology, Coimbatore, affiliated with Anna University, with 71%. His B.E. in Electronics and Communication Engineering (ECE) was from Bharath Niketan Engineering College, Theni (Anna University), and he earned a Diploma in ECE from Thanapandiyan Polytechnic, Thirumangalam.
💼 Professional Experience:
Dr. Alagarsamy currently serves as the Dean of R&D and Associate Professor in the Department of Computer Science Engineering at Anuradha Engineering College, Chikhli, Maharashtra. He has previously worked as an Assistant Professor at institutions including Dilkap Research Institute of Engineering and Management Studies, Mumbai (2021–2023) and Pankaj Laddhad Institute of Technology, Buldana (2019–2021), where he taught core and advanced subjects like AI, ML, Microprocessors, and Electromagnetic Fields. Additionally, he held administrative roles in education and industry, notably as Admin Assistant at Dharshan Elivator, Coimbatore, and School Administrator at Jijau Diyan Mandir Primary School.
🛠️ Skills and Expertise:
Dr. Alagarsamy’s technical and research expertise spans multiple cutting-edge domains including Internet of Things (IoT), Machine Learning (ML), Digital Image Processing, Deep Learning, Cryptography, and Artificial Intelligence (AI). He is adept in both theoretical modeling and practical applications, especially in biometric systems, AI-integrated IoT solutions, and secure data processing.
🏆 Awards and Recognitions:
He was honored with the Best Researcher Award (2021–2022) by the Novel Research Academy for his contributions to computational intelligence and biometric recognition. Dr. Alagarsamy has also taken key roles in organizing academic events such as the IEEE International Conference on Advent Trends in Multidisciplinary Research and Innovation (ICATMRI-2020) and ICRATESM 2023, where he served as a convener. He has published one book (2024) and filed three patents (2024–2025) showcasing his inventive spirit.
🔬 Research Focus:
Dr. Alagarsamy’s research is centered on biometric recognition systems, especially ear-based recognition, using methods like adaptive Runge-Kutta threshold segmentation, ANFIS, and cart classifiers. His work explores secure biometric systems, AI-enhanced surveillance for agriculture, and blockchain-integrated IoT healthcare systems. His scholarly contributions are published in reputed journals like Neural Computing and Applications, Multimedia Tools and Applications, Wireless Personal Communications, and Journal of Green Engineering, with several indexed in SCI and Scopus.
📚Publication:
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Title: Multimodal of ear and face biometric recognition using adaptive approach Runge–Kutta threshold segmentation and classifier with score level fusion
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Authors: SB Alagarsamy, K Murugan
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Journal: Wireless Personal Communications, Vol. 124(2), pp. 1061–1080
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Citations: 16
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Year: 2022
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Title: Ear recognition system using adaptive approach Runge-Kutta (AARK) threshold segmentation with CART classifier
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Authors: SB Alagarsamy, K Murugan
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Journal: Multimedia Tools and Applications, Vol. 79(15), pp. 10445–10459
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Citations: 9
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Year: 2020
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Title: An efficient ear recognition system using DWT & BLPOC
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Authors: M Arunachalam, SB Alagarsamy
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Conference: 2017 International Conference on Inventive Communication and Computational Technologies
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Citations: 9
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Year: 2017
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Title: Ear biometric detection using edge-map generation technique
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Authors: SB Alagarsamy, M Kalpana
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Conference: 2019 IEEE International Conference on Clean Energy and Energy Efficient Electronics Circuit for Sustainable Development
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Citations: 3
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Year: 2019
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Title: An efficient IoT-based healthcare data management and transfer using blockchain technology
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Authors: P Veeramani, P Rajasekar, V Ramkumar, R Azhagumurugan, S Bharathy
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Journal: AIP Conference Proceedings, Vol. 2518, 030001-16
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Citations: 2
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Year: 2022
Dr. Alagarsamy is a suitable and deserving candidate for the Best Researcher Award. His research vision, consistent scholarly output, and leadership in academic events highlight his valuable contribution to computing and applied AI. Strengthening global collaboration, completing postdoctoral research, and increasing citation impact will further elevate his profile.