International Conference on VLSI Design, AI, Signal Processing and Wireless Communication

January 29-31, 2026 | Madras Institute of Technology, Anna University, Chennai, India

Paper Submission Deadline:
12 November, 2025
Acceptance Notification:
2 December, 2025
Registration Deadline:
12 December, 2025
Conference Dates:
29–31 January, 2026
Paper Submission Deadline:
12 November, 2025
Acceptance Notification:
2 December, 2025
Registration Deadline:
12 December, 2025
Conference Dates:
29–31 January, 2026
ABOUT

WELCOME TO ICVAIS 2026

Welcome to the 2026 International Conference on VLSI Design, AI, Signal Processing and Wireless Communication (ICVAIS 2026). This event is a premier platform for the exchange of knowledge, ideas, and innovations across VLSI design, signal processing, artificial intelligence, machine learning, and wireless communication.

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Conference Committees

ICVAIS 2026 — International Conference on VLSI Design, AI, Signal Processing and Wireless Communication

Core Committee

Scientific Committee

  • Prof. S. Ramakrishnan, IIT Madras
  • Dr. M. Sabariamalai Manikandan, IIT Palakkad
  • Prof. Barathram Ramkumar, IIT Bhubaneswar
  • Dr. Badri Narayan Subudhi, IIT Jammu
  • Dr. Eswaramoorthy K.V., IIITDM Kurnool
  • Dr. Udit Satija, IIT Patna
  • Dr. G.N.K. Reddy, NIT Calicut
  • Dr. P. Palanisamy, NIT Trichy
  • Dr. T. Veerakumar, NIT Goa
  • Prof. M. Bhaskar, NIT Trichy
  • Dr. Velliangiri S, SRMIST, Chennai

Organising Committee

  • Sikandar Sulaiman, Qualcomm India
  • Badrinath Padmanabhan, Intel Corporation
  • Siril Prasanna, Infinera
  • Dr. Manikandan J, PES University (ex-DRDO)
  • Dr. Hemlata Gupta, Scientist D, MeitY, Govt. of India

International Advisory Committee

Call For Papers — Conference Topics

Explainable AI
Research and methods making AI systems transparent, understandable, and trustworthy.
Federated Learning
Distributed machine learning approaches where data remains decentralized for privacy.
Edge Intelligence
Intelligent processing and analytics at device or edge networks for real-time AI applications.
TinyML Deployment
Deployment of machine learning models on resource-constrained devices and IoT hardware.
Emotion Recognition
Technologies and algorithms to detect, analyze, and interpret human emotions.
Infant Diagnostics
Innovations in automated monitoring and analysis for infant health diagnostics.
Biometric Screening
Methods to identify individuals using biometric indicators for security and health.
Human Activity Recognition
Detecting and classifying human movements through sensors and AI.
AI Ethics
Ensuring responsible and fair use of artificial intelligence in systems.
Smart Healthcare
Integrating intelligent systems for personalized health monitoring and care.
5G Networks
Next-generation cellular network technologies providing high speed and low latency.
6G Technologies
Emerging research on sixth generation wireless communication networks.
UAV Networks
Communications and coordination in unmanned aerial vehicle systems.
Vehicular Networks
Networking solutions for connected and autonomous vehicles.
Wireless Protocols
Standard and novel protocols for wireless communications.
Mobile Offloading
Techniques to transfer computational tasks from mobile devices to the cloud.
Fog Networking
Distributed computing architecture extending cloud services to the network edge.
SDN & NFV
Software defined networking and network function virtualization technologies.
Quantum Networks
Quantum communication and networking strategies.
Energy-efficient Networking
Low-power and green energy approaches for network design.
Sensor Fusion
Integrating data from multiple sensors to improve accuracy and reliability.
Real-time Processing
Processing data with minimal latency to support time-critical decisions.
Fault Tolerance
System design to ensure reliability despite errors or component failures.
Secure Computation
Computations that maintain data privacy and security guarantees.
Digital Twins
Digital replicas of physical systems for monitoring and simulation.
Privacy Preservation
Techniques to protect users' sensitive data in digital domains.
Smart Cities
Technology integration to enhance urban living and infrastructure.
Self-organizing Systems
Systems that autonomously coordinate without central control.
Distributed Algorithms
Algorithms designed for distributed computing systems.
Cybersecurity Models
Models to analyze, detect, and mitigate security threats.
Embedded Systems
Design and application of embedded computing systems.
Model Compression
Techniques for reducing model size while maintaining performance.
Cloud Computing
Delivery of computing services over the internet.
Edge Computing
Distributed computing closer to data sources for efficiency.
Blockchain Systems
Decentralized ledger technologies and applications.
Big Data
Techniques for handling very large datasets.
Quantum Computing
Computation using quantum-mechanical phenomena.
IoT Systems
Connected devices communicating and interacting seamlessly.
Smart Devices
Devices with enhanced capabilities and connectivity.
System-on-Chip
Integrated circuits combining all components onto a single chip.

Proceedings: All accepted papers (with registration) will be published in the Springer LNCS series.

Special Issues: Selected papers may be extended for SCI journals.

Tutorials: Two-hour pre-conference tutorials on December 11, 2025.

Submission Instructions: Provided on the conference website.

Full Paper Submission

Send your full-paper submission to icvais@mitindia.edu in electronic form (MS Word/PDF) for the reviewing process.

Important Points for Preparing Your Paper

Paper Formatting

Review Process

Notification of Acceptance or Rejection

Academic Ethics and Conference Policy

Authors must adhere to ethical guidelines. ICSCN reserves the right to remove any submission if authors fail to provide a valid explanation for disputes arising during peer review or after acceptance/publication.

Plagiarism

Copyright