National Summit on VLSI for Smart Signal Processing: The AI & Edge Revolution

(NV-SIGPROC: AI & Edge)

(May 23rd & 24th, 2025)

in association with
Indian Society for VLSI Education (ISVE)
&
The Institution of Electronics and Telecommunication Engineers (IETE)

About Conference

The ever-growing demand for intelligent and efficient signal processing systems fuels advancements in Very-Large-Scale Integration (VLSI) design. This National Summit on VLSI for Smart Signal Processing: The AI & Edge Revolution (NV-SIGPROC: AI & Edge) aims to convene leading researchers, industry pioneers, and policymakers to explore the transformative synergy between VLSI, Artificial Intelligence (AI), and Edge computing in shaping the future of signal processing.

This Summit program includes Key Note Addresses, Invited Talks, Panel Discussions, Paper Presentations, Tech Demos, Exhibitions, Poster Sessions & Workshops.

Summit Objectives

Bridge the gap between VLSI designers, AI researchers, and industry leaders to accelerate innovation in smart signal processing systems.

Showcase and discuss advancements in VLSI architectures, hardware acceleration techniques, and efficient AI algorithms for edge-based signal processing.

Identify emerging research directions and potential challenges in the convergence of VLSI, AI, and Edge computing.

Engage policymakers and industry leaders in discussions on fostering a supportive ecosystem for the development and deployment of smart signal processing solutions.

Expected Outcomes

The summit will foster collaboration amongst researchers, industry leaders, and policymakers, accelerating progress in the field of smart signal processing.

New research directions and innovative solutions will emerge through presentations, discussions, and workshops.

The summit will showcase the practical applications of VLSI, AI, and Edge computing in various industries, leading to the development of next-generation smart signal processing systems.

The summit will contribute to the development of supportive policies and standards for the deployment of AI-powered signal processing systems at the edge.

Themes of Conference

(Includes the following, but not limited to..)

AI at the Edge:

• Edge AI Architectures and Implementations
• Power-Efficient AI Inference at the Edge
• Security and Privacy in Edge AI
• Real-time AI Processing at the Edge

VLSI for Smart Signal Processing:

• Custom VLSI for Signal Processing Accelerators
• Emerging Technologies for Signal Processing
• Design Automation for Signal Processing Circuits
• Low-Power Signal Processing Circuits

AI and Signal Processing Applications:

• AI for Communication Systems
• AI for Biomedical Signal Processing
• AI for Sensor Networks
• AI for Internet of Things (IoT)
• AI for Autonomous Systems

AI-Accelerated Signal Processing:

• Deep Learning for Signal Processing
• Machine Learning for Signal Processing
• Neural Networks for Signal Processing

Edge Computing and Signal Processing:

• Edge Computing Platforms for Signal Processing
• Distributed Signal Processing in Edge Networks
• Fog Computing for Signal Processing

VLSI Design for AI:

• Hardware Accelerators for Deep Learning
• Analog and Mixed-Signal AI Circuits
• 3D Integration for AI Chips

Security and Privacy in Edge AI:

• Secure Edge AI Inference
• Privacy-Preserving Edge AI
• Trustworthy AI at the Edge

Emerging Trends:

• AIoT and Signal Processing
• 6G and Signal Processing
• Quantum Signal Processing
• Neuromorphic Computing for Signal Processing