Dr. P. Malin Bruntha is an Assistant Professor in the Division of Electronics and Communication Engineering at Karunya Institute of Technology and Sciences, Coimbatore. She has been associated with Karunya since 2012 and has over 14 years of teaching experience in Electronics and Communication Engineering. She holds a Ph.D. in Electronics and Communication Engineering from Karunya Institute of Technology and Sciences, an M.E. in Applied Electronics from Anna University with First Class with Distinction, and a B.E. in Electronics and Communication Engineering from Anna University with First Class.
Her teaching and research interests encompass Deep Learning, Medical Image Analysis, Digital Image Processing, Machine Learning Techniques, Data Science and Data Analytics, Data Visualization and Python Programming. Her broader teaching expertise includes Pulse and Wave-shaping Circuits, Solid State Circuits, Control Systems, Electron Devices, Digital System Design, Electronic Circuits, Microwave and Optical Communication Engineering, Physical Electronics, Measurements and Instrumentation, Microelectromechanical Systems (MEMS), Nanoelectronics and Analog VLSI Design. Her interdisciplinary interests integrate electronics, computational methods, image processing and data-driven technologies.
Dr. Malin Bruntha has contributed to 23 international journal publications, 42 international conference publications and 3 national conference publications during 2012–2026. She has supervised 2 Ph.D. scholars to completion and is currently guiding 4 Ph.D. scholars, contributing to research and academic development in Electronics and Communication Engineering and related interdisciplinary areas. Her research and teaching activities reflect an integration of advanced computational techniques with electronics, image processing, data analytics and emerging technologies.
She is a life member of the Indian Society for Technical Education (ISTE) and continues to contribute to teaching, research guidance and academic activities in the field of Electronics and Communication Engineering. Her professional interests in deep learning, medical image analysis, machine learning, data science, MEMS, nanoelectronics and analog VLSI support interdisciplinary research and application-oriented academic work.