About

Fariha Tahsin is a dedicated academic and researcher specializing in VLSI Technology, Microelectronics, and Nanoelectronics. Her expertise extends to Signal and Image Processing, Artificial Intelligence, and Neural Networks, with a strong focus on machine learning-based disease detection and medical device development.

Her research revolves around integrating cutting-edge AI techniques with biomedical applications, contributing to advancements in healthcare technology. She is passionate about leveraging deep learning and neural networks to enhance diagnostic accuracy and develop intelligent medical solutions.

As a lecturer, she actively engages in mentoring students, guiding research projects, and fostering interdisciplinary collaboration. Through her work, she aims to bridge the gap between electronics, AI, and healthcare, driving innovation in medical technology.