Bennila Thangammal Chandrasekaran
R.M.D Engineering College, Anna University Chennai, Dr MGR Educational and Research Institute, Govt. Engineering College
About
Dr. C. Bennila Thangammal, B.E, M.Tech, Ph.D is Professor in Department of Electronics Communication Engineering. She obtained B.E., (ECE) from Madras University, M.Tech (Applied Electronics) from Dr. MGR Educational and Research Institute. She completed her Doctoral degree (Information & Communication Engineering) from Anna University, Chennai in the year 2015. She has been in the teaching field for past 22 years. She holds various Institution level portfolios like Convenor – Institution’s Innovation Council, Co-coordinator for AICTE IDEA Lab, NISP Coordinator, member of Internal Academic Audit and academic responsibilities, Year coordinator and Class Committee Chair-person. Her areas of interest are Wireless Sensor Network, Image Processing, Signal Processing and Computer Network. She has attended several workshops, seminars, faculty development programs and a lifetime member of ISTE, SDIWC, IAENG & annual member of IEEE. She has published 19 papers in International Conference and Journals - 7 WoS indexed journal, 1 WoS indexed Book Chapter and 10 Scopus indexed Journals. She is recognized research supervisor of Anna University, Chennai. One candidate has completed PhD under her supervision and guiding 5 research scholar. She got the funding Rs.5,48,333 from AICTE under AQIS scheme for ‘PRERANA’ during 2019-20.
Employment
-
R.M.D Engineering College Professor2005 - Present
Education
-
Anna University Chennai PhD2009 - Present
-
Dr MGR Educational and Research Institute M.Tech (Applied Electronics)2004 - 2007
-
Govt. Engineering College B.E1997 - 2001
Projects & Funding
Projects & funding information is unavailable.
Publications (27)
- Ultra‐Compact Slot‐Loaded Cross‐Shaped Dual‐Port Antenna With Intrinsic Isolation and High Front‐to‐Back Ratio for Dedicated Short‐Range Communication Applications Save
- An ECG Signal Classification System Using EMD and Pipelined Yolo Network Save
- SMART SHOPPING CART WITH AUTOMATED BILLING SYSTEM Save
- Automated Malaria Parasite Identification and Classification Using Deep Learning Techniques Save
- IoT Based Underground Cable Fault Monitoring System Save
- Agribot: An IoT and Deep Learning-Based System Empowering Precision Farming Save
- Analysis on Smart Healthcare Monitoring Based on Compound Dimension Save
- DEEP LEARNING APPROACH WITH STACKED AUTOENCODERS AND DEPTHWISE SEPARABLE CNNS FOR CASSAVA LEAF DISEASE DETECTION Save
- Attack prediction using machine learning in Wireless Sensor networks Save
- High performance fir filter based on vedic mathematics Save