Dr. SRK

Dr. Sakali Raghavendra Kumar

Assistant Professor

Department of Computer Science and Engineering

Biography

I am currently a faculty member in the Department of Computer Science and Engineering at Sri Sivasubramaniya Nadar College of Engineering. My research interests include reliable and approximate adder and multiplier designs, as well as Machine Learning/Deep Learning accelerators using reconfigurable computing. I am also keen on designing customized hardware solutions using reconfigurable computing for specific applications.

I received my Ph.D. from the Indian Institute of Information Technology, Design and Manufacturing (IIITDM), Kancheepuram, Chennai, where I was supervised by Dr. Noor Mahammad Sk (Associate Professor, IIITDM Kancheepuram)

Download Resume

Research Interests

  • Reconfigurable Computing
  • Reliable Adder and Multiplier
  • Approximate Adder and Multiplier
  • AI Model Accelerators

Education

PhD in CSE, 2021–2024
IIITDM Kancheepuram, Chennai
M. Tech in Computer Science, 2016–2018
JNTU, Anantapur
B. Tech in Information Technology, 2009–2013
G. Pullaiah College of Engineering and Technology, Kurnool



Publications

Journal Articles

Optimized Fault-Tolerant Adder Design Using Error Analysis
Raghavendra Kumar Sakali, P. Balasubramanian, Ramesh Reddy, Sreehari Veeramachaneni, and Noor Mahammad Sk
PDF
Intrinsic Based Self- Healing Adder Design Using Chromosome Reconstruction Algorithm
Sakali Raghavendra Kumar, Noor Mahammad Sk.
PDF
Preferential Fault-Tolerance Multiplier Design to Mitigate Soft Errors in FPGAs
Raghavendra Kumar Sakali, Sreehari Veeramachaneni, Noor Mahammad SK
PDF
Fault-tolerant multiplier using self-healing technique
Raghavendra Kumar Sakali, Noor Mahammad Sk
PDF

Conference Articles

Novel Embryonic Adder Architecture with Uni-Cellular Self Check Unit
Sakali Raghavendra Kumar, Noor Mahammad Sk, Balasubramanian P, G. Venkat Reddy
PDF
Fault-Tolerant Floating-Point Multiplier Design for Mission Critical Systems
Sakali Raghavendra Kumar, Sreehari Veeramachaneni, Sk Noor Mahammad
PDF
Fault Resilient Micro-Coded Control Unit for Space-Based Digital Systems
S. Deepanjali, Noor Mahammad Sk and Sakali Raghavendra Kumar
PDF
Preferential Fault-Tolerant Based TF32 Floating Point Adder for Mission Critical Systems
S. Raghavendra Kumar and Sk. Noor Mahammad
PDF



Teaching

Theory

  1. Data Structures
  2. Python Programming
  3. Computer Organization and Architecture
  4. Internet Programming
  5. Digital Principles and System Design

Lab

  • Data Structures Lab
  • Python Programming Lab
  • Internet Programming Lab
  • Digital Design Lab
  • Digital Design Lab
  • Fundamentals and Practice on Software Development

Get in Touch

Email

raghavendrakumars@ssn.edu.in

Address

SSN College of Engineering,
Kalavakkam, OMR, Chennai, India