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Dr. Meenakshi Bisla
Assistant Professor
Profile Summary
Dr. Meenakshi Bisla is an academician and researcher specializing in Brain–Computer Interfaces, EEG Signal Processing, Imagined Speech Decoding, and Deep Learning.
She holds a Ph.D. in Instrumentation and Signal Processing from IIT Roorkee (2025), along with an M.Tech in Signal Processing from NSUT East Campus, Delhi, and a B.Tech in Electronics and Communication Engineering from Lovely Professional University.
Her doctoral research focused on EEG-based imagined speech decoding using deep learning techniques, contributing to the development of assistive communication technologies.
Work Experience
Dr. Meenakshi Bisla is currently serving as an Assistant Professor at UPES, Dehradun.
She has actively contributed to academic research during her doctoral tenure at IIT Roorkee, including publishing in reputed SCI-indexed journals and mentoring students in EEG analysis and deep learning.
Educational Qualification
Ph.D. in Instrumentation and Signal Processing, IIT Roorkee (2025).
M.Tech in Signal Processing, NSUT East Campus (formerly AIACTR), Delhi.
B.Tech in Electronics and Communication Engineering, Lovely Professional University.
Research Interests
Brain–Computer Interfaces, EEG Signal Processing, Imagined Speech Decoding, Deep Learning, Machine Learning, Neural Signal Analysis, Assistive Technologies.
Teaching Philosophy
Dr. Bisla emphasizes conceptual clarity, analytical thinking, and hands-on experimentation in her teaching approach.
She integrates theoretical knowledge with practical implementation using real-world datasets and modern AI tools.
She encourages students to build strong problem-solving skills, research aptitude, and confidence in applying emerging technologies.
Courses Taught
Signal Processing, Machine Learning, Deep Learning, Artificial Intelligence, Data Analysis, Electronics and Communication Engineering subjects.
Awards and Achievements
UGC-NET (NET-LS) qualified.
GATE qualified in multiple years.
Recognized for research contributions in EEG signal processing, imagined speech decoding, and assistive communication technologies.
Scholarly Activities
Dr. Meenakshi Bisla’s research focuses on Brain–Computer Interfaces, EEG-based imagined speech decoding, and neural signal analysis using deep learning techniques.
Her work contributes to assistive communication systems by developing intelligent models for interpreting brain signals.
She has published in reputed SCI-indexed journals and continues to advance interdisciplinary research at the intersection of neuroscience, signal processing, and artificial intelligence.
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