Dr. M. Sabarimalai Manikandan
Invited Speaker - GCSRAI 2026

Dr. M. Sabarimalai Manikandan

Associate Professor
Department of Electrical Engineering
Indian Institute of Technology Palakkad

Signal Processing • Machine Learning • Edge AI • Energy Efficient Computing

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Session Information

Research Area

Signal Processing and Machine Learning

Talk Title

Making Edge AI Energy Efficient: Strategies, Design Approaches, and Key Research Directions

Date & Time

11 June 2026
10:00 AM

Mode

Offline

Email

msm@iitpkd.ac.in

Biography

Dr. M. Sabarimalai Manikandan is an Associate Professor in the Department of Electrical Engineering at the Indian Institute of Technology Palakkad.

His research expertise spans Signal Processing, Machine Learning, Artificial Intelligence, Embedded Systems and Energy-Efficient Computing.

His work focuses on designing intelligent algorithms and systems capable of performing advanced computations at the edge while minimizing energy consumption.

He actively contributes to research in next-generation AI systems, efficient machine learning architectures and real-world intelligent applications.

Research Interests

  • Signal Processing
  • Machine Learning
  • Artificial Intelligence
  • Edge AI
  • Energy Efficient Computing
  • Embedded Intelligence
  • Data Analytics
  • Smart Systems Design

Talk Highlights

  • Challenges in deploying AI at the Edge
  • Energy-efficient machine learning strategies
  • Design methodologies for Edge AI systems
  • Optimization techniques for intelligent devices
  • Emerging research directions in Edge Computing
  • Sustainable AI development approaches

Key Focus Areas

The session explores how Artificial Intelligence can be deployed efficiently on resource-constrained devices while maintaining performance, scalability and sustainability.

Special emphasis will be given to low-power AI architectures, intelligent embedded systems and future research opportunities in Edge AI technologies.

IIT

Palakkad

AI

Research Focus

Edge

Computing

ML

Machine Learning