Dr. Sakthivel RamachandranBased in VELLORE, India
Dr.SAKTHIVEL RAMACHANDRAN (Senior Member, IEEE) received his bachelor’s degree in electrical engineering from Madras University, in 2000, the Master degree in applied electronics from Anna University, in 2004, and the Ph.D. degree in the area of low-power high-speed architecture development for signal processing and cryptography. He is currently working as an Associate Professor with the School of Electronics Engineering, Vellore Institute of Technology, Vellore, India.
He is a co-author of the book “Basic Electrical Engineering published by Sonaversity, 2001 and the author of the “VLSI Design” published by S. Chand in 2007. He has published more than 60 peer reviewed papers in international conferences/journals. He has delivered around 50 guest lectures/invited talk and hands on workshop in the area of FPGA-based system design, full custom IC design, RTL to GDSII and ASIC Design.
His research interests include low-power VLSI design, developing high-speed architectures for cryptography and image processing. His current research interests include Neuromorphic computing and making ef?cient hardware for AI and ML.
He was heading the VLSI division at VIT, Vellore, India since 2009 to 2012. During his tenure he was instrumental in setting up SoC Design Lab, FPGA/ASIC Lab, Analog IC Design Lab in association with Cadence, Altera and Texas Instruments (India) Respectively.
He was a consultant/corporate trainer for Texas Instruments (Banglore), BOSCH ( Banglore& Coimbatore), Pantech Solution( Chennai) and Wipro(Banglore). Prior to joining academia, he was the co-founder for the company Silicon to chip Technologies, Salem, India. He has mentored 30 undergraduate, 60 Post graduate students, 9 PhD students (3 finished PhDs), and 1 M.Tech (Research).
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CMOS Fault detection and Correction ? Building a Reliable Reconfigurable and Robust System
In the last few years CMOS technology has become increasingly dominant for realizing Very Large Scale Integrated (VLSI) circuits. The popularity of this technology is due to its high...
- Extreme Low power Optimization Techniques- Opportunities and ChallengesLow power has emerged as a principal theme in today's world of electronics industries. Power dissipation has become an important consideration as performance and area for VLSI Chip...
- Hardwares for AI and ML( Brain Computing)/ Hardwares for computational neuroscienceThe Most ununderstood human’s organ is the Brain. Neural networks were developed to mimic the salient features of biological brains, such as their ability to recognize patterns and...
- Timing Aware High Level Synthesis for Efficient Digital system buildingThe timing closure problem is one of the most important problems in the design automation. However, the rapid increase of the impact of the process variation on circuit timing makes the...
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- Extreme Low power Optimization Techniques- Opportunities and Challenges