Mansi Subhedar
PHCET, Pillai HOC College of Engineering and Technology, University of Mumbai, BAMU, RTMNU
About
Dr Mansi Subhedar completed her PhD in Electronics Engineering in 2019 and has over 19 years of teaching experience. She is currently serving as the IQAC Coordinator and Head of the Department of Electronics and Computer Science at Pillai HOC College of Engineering and Technology. She has published 48 research papers in peer-reviewed international journals and conferences. She is also a reviewer for reputed international journals and has served as a reviewer and technical committee member for 20 well-known international conferences.
Dr. Subhedar is a life member of ISTE, a Fellow of IETE, a Life Member of IEI and CSI, and a Senior Member of IEEE. She has held notable leadership roles, including serving as Honorary Secretary of the IETE Navi Mumbai Centre for two terms and currently serves as an Executive Committee member. She has contributed to several IEEE committees, including the Women Empowerment Committee, WIE AG, IEEE Bombay Section (2022); Vice Chair, Conference Committee, IEEE Bombay Section (2023); and Member, Industry–Academia Young Professionals Committee, IEEE India Council (2023 and 2024).
Her research interests include signal and image processing, machine learning, IoT, data science, and next-generation networks. She has delivered multiple expert talks and sessions on these domains.
Employment
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PHCET Associate Professor2022 - Present
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Pillai HOC College of Engineering and Technology Head of the Department2021 - Present
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Pillai HOC College of Engineering and Technology Associate Prof and Head of the department2012 - 2021
Education
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University of Mumbai M. E. Electronics Engineering2006 - 2008
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BAMU B.E. Electronics and Telecommunication Engineering2000 - 2004
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RTMNU PhD
Projects & Funding
Projects & funding information is unavailable.
Publications (55)
- Cognitive Robots for Industry 5.0: Fundamentals, Challenges and Research Trends Save
- Intelligent Frame Retention and Anomaly Detection with Notification Using YOLOv11m Save
- Transformation in manufacturing industry: Review and future trends Save
- Secure and Efficient Lightweight Authentication Mechanism for Constrained IoT Networks Save
- Real Time Anomaly Detection with Video Storage Optimization for Smart CCTV Surveillance Save
- AIoT in smart transportation in Industry 5.0 Save
- Optimizing Energy Efficiency in Modern Buildings Using IoT and Machine Learning Save
- Real-Time Emotion Detection Based on Physiological, Vocal, and Facial Modalities Using Deep Learning Save
- Smart IoT for Sustainable Development Save
- Enhancing Road Safety: An Intelligent Drowsiness Detection System Based on Deep Neural Networks Save