Prof. Dr. M Murugappan

About

Prof. M.Murugappan received his M.E. (Applied Electronics), and Ph.D. (Mechatronic Engineering) from Anna University, India, and Universiti Malaysia Perlis, Malaysia, respectively, in 2006, and 2010. He is currently working as a Full Professor in Electronics in the Department of Electronics and Communication Engineering at the Kuwait College of Science and Technology (KCST), Kuwait since 2022. He had more than 15 years of research and teaching experience in different countries, such as India, Malaysia, and Kuwait. His publications and research have been recognized with various research awards, medals, and certificates. In the fields of Experimental Psychology, Artificial Intelligence, and Cognitive Neuroscience, he was ranked in the top 2-percent of scientists in the world by Stanford University researchers in 2020, 2021, and 2022. More than 150 of his research articles have appeared in peer-reviewed journals, conference proceedings, and book chapters. A maximum score of 7550 citations is recorded by Google Scholar, along with an H index of 43 and an I10 score of 93 (Ref: Google Scholar citations). His research has been awarded nearly $12.5 Million by the government of Malaysia, Malaysia, and Kuwait Foundation for Advancement of Sciences (KFAS), Kuwait. He has also guided 14 postgraduate students, 9 Ph.D. and 5 M.Sc. He is currently an Editorial Board member for PLOS ONE, Computers and Electrical Engineering (Elsevier), PEERJ Computer Science, Human Centric Information Sciences, Journal of Medical Imaging and Health Informatics, and International Journal of Cognitive Informatics. Currently, he serves as the Chair of Educational Activities in the IEEE Kuwait Section. He is primarily interested in Affective Computing, Affective Neuroscience, Bio-signal processing, Neuromarketing, Medical Image Processing, Machine Learning, and Artificial Intelligence. He is a member of professional international societies such as IEEE, IET, IACSIT, IAENG, and IEI. He has given expert talks in Affective Computing, Artificial Intelligence in Healthcare, and Affective Neuroscience.

Employment

• Kuwait College of Science and Technology Full Professor
  2022 - Present
• Kuwait College of Science and Technology Associate Professor
  2017 - 2022
• Kuwait College of Science and Technology Assistant Professor
  2016 - 2017
• Universiti Malaysia Perlis Senior Lecturer
  2010 - 2016
• Shanmuganathan Engineering College Lecturer
  2003 - 2007

Education

• Universiti Malaysia Perlis Ph.D
  2007 - 2010
• Government College of Technology Master of Engineering (Applied Electronics)
  2004 - 2006
• Adhiparasakthi Engineering College Bachelor of Engineering
  1998 - 2002

Projects & Funding

Projects & funding information is unavailable.

Publications (182)

• Enhanced Brain Tumor Classification Using Hybrid Vision Transformers (MobileViT) and Pretrained CNN Models on the Masoud MRI Dataset
  Applied Computational Intelligence and Soft Computing 2026 DOI: 10.1155/acis/2665182
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• ResTANet: A Deep Residual Neural Architecture for Tamil Handwritten Character Recognition
  IEEE Access 2026 DOI: 10.1109/ACCESS.2025.3632872
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• Using artificial intelligence to predict the next deceptive movement based on video sequence analysis: A case study on a professional cricket player's movements
  Journal of Engineering Research 2025 DOI: 10.1016/j.jer.2025.01.007
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• Oscillometric blood pressure estimation using machine learning-based mapping of waveform features
  Biomedical Engineering Letters 2025 DOI: 10.1007/s13534-025-00496-2
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• Automated classification of post-operative gait abnormalities following hip surgery using machine learning
  Engineering Research Express 2025 DOI: 10.1088/2631-8695/ade84d
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• CardioTabNet: a novel hybrid transformer model for heart disease prediction using tabular medical data
  Health Information Science and Systems 2025 DOI: 10.1007/s13755-025-00361-7
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• Multicentered Data Based Polyp Detection Using Colonoscopy Images Using DNN
  International Journal of Imaging Systems and Technology 2025 DOI: 10.1002/ima.70123
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• Deep learning-based real-time detection and classification of tomato ripeness stages using YOLOv8 on raspberry Pi
  Engineering Research Express 2025 DOI: 10.1088/2631-8695/ada720
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• Automating Prostate Cancer Grading: A Novel Deep Learning Framework for Automatic Prostate Cancer Grade Assessment using Classification and Segmentation
  Journal of Imaging Informatics in Medicine 2025 DOI: 10.1007/s10278-025-01429-2
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• A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients
  Computers in Biology and Medicine 2025 DOI: 10.1016/j.compbiomed.2024.109284
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