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
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