Special Sessions

About Special Sessions

Special Session Organization is highly encouraged. The goal of these special sessions is to provide a forum for focused discussions on new topics or innovative applications of established approaches within the theme of the conference. The theme of the conference is given up. Each organized special session should have a minimum of 10 registered papers. The session organizers have full authority in soliciting and accepting papers for the session. Each session is limited to no more than 4 organizers and the session organizer can designate a chair and a co-chair for the session. The allocated presentation time for each paper is 15 minutes which includes the time for questions from the audience.  

Please submit your special session proposals by email to the conference chairs at chairiccidc@gmail.com or at +918050362729.  The proposals should include:

  1.  Special Session Title
  2.  A short description (2-3 lines) & covered topics
  3.  Session organizer(s) with their affiliation

All the special session proposals will be reviewed by conference organizers and TPC chairs and the accepted proposal will be notified to the organizers within one week from the submission date. Once the proposal is accepted it will appear under this tab with the special session name and their organizer The last date to receive proposal for special session is 27th July, 2026.

Important Notes

  • A dedicated track will be created in CMT for submission of paper in each special session. Special Session organizers are requested to communicate the same to their authors while doing publicity for their session.
  •  If for a special session, the number of received papers is less than 10, then all those papers in that special session will be considered as a regular submission.

Special Sessions ( 1 - 5 )

Title: Computational Vision and Intelligent Image Processing Using Machine Learning and Artificial Intelligence

Call for Papers for the topics mentioned below :

  • Image enhancement and restoration using AI techniques
  • Object detection, recognition, and tracking
  • Deep learning models for computer vision
  • Medical image analysis and diagnostics
  • Intelligent video analysis and surveillance
  • Image segmentation and pattern recognition
  • Edge AI for vision-based systems
  • Multimodal visual data processing
  • Visual analytics using machine learning
  • Applications of AI driven image processing in smart system

Session organizer(s)

  1. Dr. Soumya Ranjan Mishra
    School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India
    Email: soumyaranjan.mishrafcs@kiit.ac.in
  2. Dr. Hitesh Mohapatra
    School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India
    Email: hiteshmahapatra.fcs@kiit.ac.in

Title: Intelligent Advances in Machine Learning for Bioinformatics and Smart Agriculture

Call for Papers for the topics mentioned below :

  • Machine learning for genomic and proteomic data analysis
  • Clustering and classification of biological datasets
  • Feature selection and representation learning in bioinformatics
  • ML-based crop yield prediction and disease detection
  • Precision agriculture using sensor and remote sensing data
  • Scalable ML models for large-scale biological and agricultural datasets
  • Explainable and interpretable ML in life sciences and agriculture

Session organizer(s)

  1. Dr. Rajesh Dwivedi
    Assistant Professor, Department of
    Computer Science and Engineering at the Indian Institute of Information Technology
    (IIIT) Ranchi
    Email: Rajeshdwivedi.cse@iiitranchi.ac.in
  2. Dr. Dhiran Kumar Mahto
    Assistant Professor, Department of
    Computer Science and Engineering at the Indian Institute of Information Technology (IIIT) Ranchi
    Email: dhiran.mahto@iiitranchi.ac.in

Title: Smart Autonomous Networks and Cognitive Analytics using Artificial Intelligence

Call for Papers for the topics mentioned below :

  • AI-Based Cognitive Load Detection for Driver Monitoring in ADAS Systems
  • Deep Learning Approaches for Real-Time Cognitive Load Estimation in Autonomous Driving
  • Multimodal Cognitive Load Detection using Eye Tracking, EEG, and Physiological Signals
    in Smart Vehicles
  • Driver Cognitive State Recognition using Computer Vision for Safe Autonomous Driving
  • Cognitive Load-Aware Adaptive ADAS Systems for Enhanced Driver Safety
  • Real-Time Driver Distraction and Cognitive Overload Detection using AI
  • Machine Learning-Based Cognitive Workload Prediction for Human–Vehicle Interaction
  • Explainable AI for Cognitive Load Detection in Intelligent Transportation Systems
  • Cognitive Load-Based Adaptive Human–Machine Interface (HMI) Design in Autonomous Vehicles
  • Sensor Fusion Approaches for Cognitive Load Detection in Semi-Autonomous Vehicles

Session organizer(s)

  1. Dr. S. Priya
    Assistant Professor,
    School of Computer Engineering
    Manipal Institute of Technology, Bengaluru
    Manipal Academy of Higher Education, Manipal
    Karnataka, India
    Email: s. priya@manipal.edu
  2. Dr. E. Elakkiya
    Assistant Professor
    Department of Computer Science and Engineering,
    SRM University AP, Amaravati, Andhra Pradesh, India.
    Email: elakkiya.e@srmap.edu.in.
  3. Dr. R. Aruna
    Professor & Head
    Department of Computer Science and Design
    Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology
    Avadi, Chennai – 600062
    drraruna@veltech.edu.in