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 Keynote 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.

Advisory Committee:
1. Sri P.V.R. Kashyap – Chairman – MES
2. Dr. K. Seetha Ram Babu, Vice Chairman-1, MES
3. Sri. M. Krishna Kumar, Vice Chairman-2, MES
4. Sri Sudhakar Jupudi, Treasurer, MES
5. Dr. KP Srinivas Rao, Secretary, MES
6. Dr. D. Hanumantha Rao, Principal, MECS
7. Dr. Vijaya Gunturu, Principal, MVSREC
8. Prof. K. V. S. Hari, Director, Centre for Brain Research, IISc, Bangalore
9. Prof. Hitesh Shrimali, Professor, IIT Mandi
10. Prof. M. K. Bhuyan, Professor, IIT Guwahati
11. Dr. Noor Mohammad, Associate Professor, IIITDM
12. Dr. Anil Kumar Vuppala, Associate Professor, IIIT Hyderabad
13. Dr. Sudha Tushara Sadasivuni, Faculty Dept of Computer Science, Georgia State University, Atlanta, USA
14. Dr. Sudarsan Sadasivuni, Altera Corporation (An Intel Company) San Jose, CA, USA
15. Sri P.R Lakshmi Eshwari ,Director,CDAC, Hyderabad
16. Dr. G. Prasad, Group Head, ICIG, NRSC, Hyderabad
17. Prof. Y. Padma Sai, Chairman, IEEE SPS, Hyderabad Section
18. Prof. V. Chandra Sekhar, Professor, ECE, MECS

Convener: Dr. N. Srinivasa Rao, HOD, ECE, MECS
Co-convener: Dr. I. Sharath Chandra, Associate Professor, MECS

Organizing Committee:
1. Prof. D.K Yadav,Professor,NIT, Jamshedpur & President,ISVE
2. Dr.Arun Kumar, Chairman, ISVE
3. Dr. Vijay Nath, BIT Mesra Ranchi & Executive Member of IETE & ISVE Ranchi.
4. Sri Ashwani Kumar Sangamker, Chairman, IETE Hyderabad
5. Sri P.Padmanabha Rao, Secretary, IETE Hyderabad.
6. Dr.G. Manohar, HOD, Civil, MECS
7. Dr.T.Raghunatha Reddy, HoD(I/C),CSE, MECS
8. Dr. G. Ravindranath, HOD, EEE, MECS
9. Dr. G. Shyama Chandra Prasad , HOD,IT,MECS
10. Dr. M. V. Kishore, HOD, Mech, MECS
11. Dr. Y. Aparna, HOD(I/C), S&H, MECS
12. Dr. M. Yuvaraju, HOD(I/C), S&H, MECS

Technical Program Committee:
1. Dr. S. Lakshmi Narayana, Professor, Andhra University.
2. Dr. N. Srinivasa Rao, HOD ECE, MECS
3. Dr. NVS Narasimha Sarma, Professor, ECE, NIT Warangal.
4. Dr. L.K Indumathi, Associate Professor, CSE, MECS
5. Dr. M. Srinivasulu, Professor, ECE, MECS

Finance Committee and Sponsors Committee:
1. Dr. N. Srinivasa Rao, HOD, ECE, MECS
2. Mrs. A. S. Keerthi Nayani, Assistant Professor, ECE, MECS
Publicity And Hospitality:
1. Dr. M. Naresh, Associate Professor, ECE, MECS
2. GVSS N Srirama Sarma, Assistant Professor, EEE, MECS
3. Dr. N. Kalpana, Assistant Professor, ECE, MECS

Publications Committee:
1. Dr. N. Shri Bala, Associate Professor, ECE, MECS
2. Dr. Pallavi Khare, Associate Professor, ECE, MECS
3. Dr. Indira Priyadarshini, Assistant Professor, ECE, MECS
4. Dr. K. Vijetha, Assistant Professor, ECE, MECS
5. Dr. B. Chandana, Assistant Professor, S&H, MECS
6. Mr. Somasekhar, Assistant Professor, Mech, MECS
7. Dr. M. Saritha, Assistant Professor, EEE, MECS

Local Tour and transport Committee
1. Dr. K. Koteshwar Rao, Assistant Professor, ECE, MECS
2. Dr. K. Ashok Kumar, Assistant Professor, ECE, MECS
3. Mr. Kunda Praveen, Assistant Professor, ECE, MECS
4. Mr. Ravi Kumar Reddy, Assistant Professor, ECE, MECS
5. Mr. Harish, PDT, MECS

Cultural Committee:
1. Mrs. K. Sandhya, Assistant Professor, S&H, MECS
2. Dr. T. Vishnu, Assistant Professor, S&H, MECS
3. Dr. Aruna Kumari, Assistant Professor, S&H, MECS

Web I/C:
1. Mr. M. Praveen Kumar, Assistant Professor, CSE, MECS

Themes of Conference (Includes the following, but not limited to..)

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 Edg
Emerging Trends:
• AIoT and Signal Processing
• 6G and Signal Processing
• Quantum Signal Processing
• Neuromorphic Computing for Signal Processing

Important Links

Important Dates:

Start date of Paper Submission

 January 30th, 2025

Last date of Paper Submission

April 10th, 2025

Notification of Acceptance

April 25th , 2025

Registration and camera ready submission

May 10th , 2025

Announcement of Final Program

May 15th, 2025

Registration Fee:

Category

Early Bird

(in Rs.)

Late Registration

(in Rs.)

Authors- Academia/Industry Professionals

5000

5500

Students/Research Scholars

2500

3000

Delegates from Academia/Industry/ Second Authors

5000

5500

Preconference Tutorials (Exclusive of Registration) – for Single event

1000

1500