COMSNETS 2026

18th International Conference on
COMmunication Systems & NETworkS

January 6 - 10
Chancery Pavilion Hotel, Bengaluru, India

Initiative by COMSNETS Association

Artificial Intelligence of Things (AIoT)

Detailed Schedule

Session 1
09:30 – 10:00
Welcome by Workshop Chairs
10:00 – 10:30
Unlocking AIoT Efficiency in the Computing Continuum - the PANDORA Framework
Dr. Asterios Stroumpoulis
10:30 – 11:00
TBD
Dr. Pandarasamy Arjunan (Assistant Professor, IISc Bengaluru)
11:00 – 11:30
Tea/Coffee
Session 2: Resilient & Secure Edge Intelligence for AIoT Systems
11:30 – 11:50
Tiny Yet Mighty: Quantized Deep Learning for Edge Plant Disease Detection
Saud Masaud Alam; Aniruddh Jain; Nikhil Tiwari Patel Mahekkumar Ghelabhai; Sourajit Behera
11:50 – 12:10
Adaptive Task Scheduling in Edge-Fog-Cloud with Network Failure Resilience
Sahil Padole; Ajay Kattepur
12:10 – 12:30
Low-Cost IoT-Based Downtime Detection For UPS and Behaviour Analysis
Sannidhya Gupta; Prakash Nayak; Sachin Chaudhari
12:30 – 12:50
DP-EMAR: A Differentially Private Framework for Autonomous Model Weight Repair in Federated IoT Systems
Chethana Prasad Kabgere; Shylaja S S
12:50 – 14:00
Lunch Break
Session 3: AI-Enhanced IoT Sensing and Edge Intelligence
14:00 – 14:20
Edge Intelligence for Speech: Evaluating Model Performance, Feature Extraction and Signal Fidelity on Commodity Hardware
Shubham; Loukik Darsi; Avaneesh Pothuri; Manik Gupta; RN Ponnalagu
14:20 – 14:40
IoT-Assisted Estimation of Vehicular Traffic Status over Wide-Area
Anwesha Patel; Sudipta Saha
14:40 – 15:00
Real-Time Big Data Analytics for Predictive Healthcare Monitoring using IoT and Cloud Integration
Chitiz Tayal
15:00 – 15:20
Human Activity Recognition Using 5G RF Sensing and Interpretable Tsetlin Machines
Charitha Gadari; Sreenivasa Reddy Yeduri; Ole-Christoffer Granmo; Linga Reddy Cenkeramaddi, Sr
15:20 – 15:40
Green AI Orchestration Bridging Trustworthy AI and Edge AI through tinyML for Frugal Intelligence
Joao Costa; Marco Zennaro; Ioana Ntinou; John S Shawe-Taylor
15:40 – 16:00
TinyVLM: A Distilled and Quantized Vision-Language Model for Efficient Food Image-Text Retrieval in TinyML Settings
Podakanti Satyajith Chary; Pithani Teja Venkata Ramana Kumar; Nagarajan Ganapathy
16:00 – 16:30
Tea Break (along with poster session)
Session 4: Advanced AIoT Decision Systems: Federated, Secure, and Autonomous Intelligence
16:30 – 16:50
FedVAD: A Privacy-Preserving Federated Voice Anomaly Detection Framework for Child Safety
Yagyansh Gupta; Shyam Navinkumar Modi; Neha Agrawal
16:50 – 17:10
COSTAR: Cloud-Observed Safety and Trust-Aware Agentic Reasoning for Enterprise Workflows
Sowjanya Pandruju
17:10 – 17:30
Multimodal RL for Game Recommendation using Dual-Discriminator PPO Framework
Ayush Deshmukh; Siddharth Kelkar; Anand Kumar M
17:30 – 17:50
Fast Domain Adaption and Model Compression for IoT devices using Meta-Learning and Federated Knowledge Distillation
Nelson Sharma; Nirmit Chaurasia; Lavanya Bhadani; Rajiv Misra; Supratik Mukhopadhyay
17:50 – 18:15
Closing & Best Paper Award announcement

Call for Papers


Camera Ready Guidelines


Accepted Papers

  1. SecureFed-AIoT: A Trust-Weighted Federated Learning Framework for Secure and Resilient Edge Intelligence
    Diya Bodiwala, Indian Space Research Organization (ISRO), India
  2. Adaptive Task Scheduling in Edge-Fog-Cloud with Network Failure Resilience
    Sahil Padole (Ericsson Research, India); Ajay Kattepur (Ericsson Research, India)
  3. DP-EMAR: A Differentially Private Framework for Autonomous Model Weight Repair in Federated IoT Systems
    Chethana Prasad Kabgere (PES University, India); Shylaja S S (PES University, India)
  4. Low-Cost IoT-Based Downtime Detection For UPS and Behaviour Analysis
    Sannidhya Gupta (International Institute of Information Technology, Hyderabad, India); Prakash Nayak (International Institute of Information Technology, Hyderabad, India); Sachin Chaudhari (International Institute of Information Technology, Hyderabad, India)
  5. Green AI Orchestration Bridging Trustworthy AI and Edge AI through tinyML for Frugal Intelligence
    Joao Costa (Jozef Stefan Institute, Slovenia); Marco Zennaro (the Abdus Salam International Centre for Theoretical Physics, Italy); Ioana Ntinou (Queen Mary University of London, United Kingdom (Great Britain)); John S Shawe-Taylor (University College London, United Kingdom (Great Britain))
  6. Multimodal RL for Game Recommendation using Dual-Discriminator PPO Framework
    Ayush Deshmukh (National Institute of Technology, Karnataka & University of Edinburgh, United Kingdom (Great Britain)); Siddharth Kelkar (National Institute of Technology, Karnataka, India); Anand Kumar M (National Institute of Technology - Karnataka, India)
  7. TinyVLM: A Distilled and Quantized Vision-Language Model for Efficient Food Image-Text Retrieval in TinyML Settings
    Podakanti Satyajith Chary (IIT Hyderabad); Pithani Teja Venkata Ramana Kumar (IIT Hyderabad); Nagarajan Ganapathy (IIT Hyderabad)
  8. Edge Intelligence for Speech: Evaluating Model Performance, Feature Extraction and Signal Fidelity on Commodity Hardware
    Shubham (Bits Pilani Hyderabad Campus, India); Loukik Darsi (Bits Pilani Hyderabad Campus, India); Avaneesh Pothuri (Bits Pilani Hyderabad Campus, India); Manik Gupta (Bits Pilani Hyderabad Campus, India); RN Ponnalagu (Bits Pilani Hyderabad Campus, India)
  9. FedVAD: A Privacy-Preserving Federated Voice Anomaly Detection Framework for Child Safety
    Yagyansh Gupta (IIIT Sri City, India); Shyam Navinkumar Modi (IIIT Sri City, India); Neha Agrawal (IIIT Sri City, India)
  10. IoT-Assisted Estimation of Vehicular Traffic Status over Wide-Area
    Anwesha Patel (Indian Institute of Technology Bhubaneswar, India); Sudipta Saha (Indian Institute of Technology Bhubaneswar, India)
  11. Human Activity Recognition Using 5G RF Sensing and Interpretable Tsetlin Machines
    Charitha Gadari (IIIT Kurnool, India); Sreenivasa Reddy Yeduri (IIIT Kurnool, India); Ole-Christoffer Granmo (University of Agder, Norway); Linga Reddy Cenkeramaddi, Sr (IIIT Kurnool, India)
  12. COSTAR: Cloud-Observed Safety and Trust-Aware Agentic Reasoning for Enterprise Workflows
    Sowjanya Pandruju (Amazon Web Services, USA)
  13. Real-Time Big Data Analytics for Predictive Healthcare Monitoring using IoT and Cloud Integration
    Chitiz Tayal (Axtria)
  14. Fast Domain Adaption and Model Compression for IoT devices using Meta-Learning and Federated Knowledge Distillation
    Nelson Sharma (Indian Institute of Technology Patna, India); Nirmit Chaurasia (Indian Institute of Technology Patna, India); Lavanya Bhadani (Indian Institute of Technology Patna, India); Rajiv Misra (Indian Institute of Technology Patna, India); Supratik Mukhopadhyay (Louisiana State University, USA)
  15. Tiny Yet Mighty: Quantized Deep Learning for Edge Plant Disease Detection
    Saud Masaud Alam (Sardar Vallabhbhai National Institute of Technology, India); Aniruddh Jain (Sardar Vallabhbhai National Institute of Technology, India); Nikhil Tiwari (Sardar Vallabhbhai National Institute of Technology, India); Patel Mahekkumar Ghelabhai (Sardar Vallabhbhai National Institute of Technology, India); Sourajit Behera (Sardar Vallabhbhai National Institute of Technology, India)

Important Dates

Paper Submission deadline:           15th October 2025 (AoE)  30th October 2025 (AoE)  12th November 2025 (AoE)
Notification of Acceptance:            15th November 2025  20th November 2025  26th November 2025
Camera-ready Submission:            30th November 2025  5th December 2025
Workshop Date:                                10th January 2026

Workshop Overview

Topics of Interest:

AI for IoT focuses on enabling machine learning and intelligent computing on resource-constrained, secure, and connected devices. We invite submissions of innovative technologies, frameworks, and applications that advance the IoT ecosystem. Topics include, but are not limited to:

  • On-device machine learning algorithms
  • TinyML and embedded AI for resource-constrained devices
  • Real-time computer vision and speech processing
  • Federated learning in IoT environments
  • AI model compression, quantization, and pruning techniques
  • Learning-enabled IoT applications
  • Edge AI
  • AI for IoT security and privacy
  • Energy Efficient AI for IoT systems
  • Distributed inference and learning
  • Optimized blockchain for IoT
  • AIoT solution risk evaluation and control
  • Systems and software engineering for IoT
  • AI-driven IoT protocols design
  • IoT system architecture and enabling technologies
  • Demonstration of AI-enabled IoT applications

Submission Guidelines

  • The AIOT Workshop invites original research work not previously published or under review elsewhere.
  • Submissions (including title, authors, abstract, figures, tables, and references) must not exceed 6 pages.
  • Double-blind review: Authors’ names and affiliations must not appear in the submission.
  • Submissions must follow the IEEE formatting guidelines; non-compliant papers will not be reviewed.
  • All papers must be in PDF format and submitted via the AIOT Workshop submission site on EDAS: https://edas.info/N34103
  • Accepted workshop papers will appear in the conference proceedings and will be submitted to IEEE Xplore and other indexing databases.

Papers can be submitted through EDAS: https://edas.info/N34103

For any queries, please contact the workshop chairs at comsnets.workshop@gmail.com


Technical Program Committee

  • Maria Pateraki (National Technical University of Athens)
  • Konstantinos Tserpes (National Technical University of Athens)
  • Dušan Jakovetić (University of Novi Sad)
  • Sotiris Ioannidis (Technical University of Crete)
  • Patrizio Dazzi (University of Pisa)
  • Katerina Tzompanaki (Cergy Paris University)
  • Houssam Hajj Hassan (Télécom SudParis)
  • Arne Bröring (Siemens)
  • Miloš Savić (University of Novi Sad)
  • Vladimir Kurbalija (University of Novi Sad)
  • Patrizio Frosini (University of Pisa)
  • Ourania Manta (Cyberalytics Limited)
  • Karl Waedt (Framatome)
  • Mohammad Hamad (Technical University of Munich)
  • Branislav Vrban (Slovak University of Technology)
  • Konstantina Agoraki (University of Piraeus)

Artificial Intelligence of Things (AIoT) Workshop Co-Chairs


Punit Rathore

Punit Rathore

Indian Institute of Science
Bengaluru, India

Asterios Stroumpoulis

Asterios Stroumpoulis

National Technical University of Athens
Greece

Ajay Kattepur

Ajay Kattepur

Ericsson Research
Bangalore, India