Nirmala Devi M.
Vice Chairperson
Department of Electronics and Communication
Amrita University - Amrita Vishwa Vidyapeetham
India
Biography
Dr. M. Nirmala Devi obtained her B.E. degree in Electronics and Communication Engineering (ECE) in 1990 and M. E. (Applied Electronics) Degree in 1996 from Government College of Technology, Coimbatore, Bharathiar University. She is currently working as the Professor in Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore. During her tenure at Amrita, she received her Ph. D. degree in the area of VLSI Design of Artificial Neural Networks from Anna University, Chennai in 2010. She has been the coordinator for M. Tech. VLSI Design program. She has delivered invited lectures on VLSI Design in AICTE and UGC sponsored faculty development programs and conferences. She has also organized a few in-house workshops on “Analog and Digital VLSI Designs and tools”. Moreover she has organized the “National Symposium on Green Electronics” during December 2014. She has served as Board of Studies member for some institutions. She is the recipient of “Appreciation Award” from Amrita Institute of Technology during the year 2003. Moreover, Marquis Who’s Who in the World 2011 distinguishes her as one of the leading achievers from around the country. Furthermore, International Biographical Centre, Cambridge, England has chosen her for inclusion in the prestigious publication “2000 Outstanding Intellectuals of the 21st Century – 2011”. Her areas of interest include VLSI Design and Testing, Computational Intelligence, Hardware Security and Trust, Evolvable Hardware and RF CMOS System Design. She has published around 55 papers in the International Journals and Conferences in her field of expertise. She has served as the reviewer for international conferences and international journals which include the following; Springer Journal of the Institution of Engineers (India): Series B Inderscience Int. Journal of Information and Communication Technology
Research Interest
Very-Large-Scale Integration (VLSI) Design of Artifiial Neural Networks, Soft Computing