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.  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

Title: AI-Driven Multi-Objective Optimization and Decision-Making for Complex Engineering Systems

Call for Papers for the topics mentioned below :

  • Many-objective and multi-objective optimization algorithms
  • Nature-inspired and physics-based metaheuristics
  • Hybrid AI–optimization frameworks
  • Machine learning-assisted optimization (surrogate models, metamodels)
  • Multi-Criteria Decision Making (MCDM) methods (TOPSIS, MARCOS, BWM, etc.)
  • Optimization in additive manufacturing and composites
  • Engineering design optimization (FEM-based, CFD-based)
  • Smart manufacturing and Industry 4.0 optimization
  • Uncertainty modeling and fuzzy optimization
  • Real-world case studies and industrial applications

Session organizer(s)

  1. Dr. Kanak Kalita, Faculty of Mechanical Engineering, VSB-Technical University of
    Ostrava, 70800 Ostrava, Czech Republic. kanak.kalita@vsb.cz;
    kanakkalita02@gmail.com
  2. Dr. V C Deivayanai, Office of Research, Rajalakshmi Institute of Technology,
    Chennai 600124, India. deivayanai.vc@ritchennai.edu.in
  3. Dr. Babak Safaei; Department of Mechanical Engineering; Eastern Mediterranean
    University; North Cyprus via Mersin 10, Turkey; Email: babak.safaei@emu.edu.tr

Title: Next-Generation AI and Computational Approaches in Healthcare, Agriculture, IoT, Blockchain and Network Security

Call for Papers for the topics mentioned below :

  • AI and DL for Smart Systems
    • IoT and Edge/Fog Computing Applications
    • Blockchain and Distributed Ledger Technologies
    • Cybersecurity, Privacy Preservation, and Secure Data Analytics
    • Medical Imaging, Computational Biomedicine, and Healthcare AI
    • Edge/Fog Computing Solutions for Real-time Health Monitoring
    • Interdisciplinary Applications of AI in Intelligent Networks
    • Quantum Computing and Quantum AI for Secure Systems

Session organizer(s)

  1. Dr. Puranam Revanth Kumar
    Assistant Professor, Department of AI & ML,
    Malla Reddy University, Hyderabad, India.
    Email ID: revanth123451.rk@gmail.com
  2. Dr. G. Gifta Jerith
    Dean, Department of AI & ML,
    Malla Reddy University, Hyderabad,
    India. Email ID: ggiftajerith@gmail.com
  3. Dr. S Satyanarayana
    CEO & Chief Agentic AI Scientist,
    AlgoProfessor AI R&D Software Solutions,
    Hyderabad, India.
    Email Id: drssnaiml1@gmail.com
  4. Mr. Saisuman Singamsetty
    American Unit Inc, San Antonio,
    Texas, United States of America (USA).
    Email ID:saisuman.singamsetty@gmail.com
  5. Dr. Shiva Shankar Reddy
    Faculty of Engineering and Built Science,
    Lincoln University of College,
    Selangor, Malaysia.
    Email ID: pdf.shivareddy@lincoln.edu.my

Special Sessions ( 6 - 11 )

Title: Artificial Intelligence for Privacy, Security and Sustainable Smart Computing

Call for Papers for the topics mentioned below :

  • Artificial Intelligence and Machine Learning
  • Privacy-Preserving Data Mining
  • Cyber Security and Network Security
  • Explainable AI
  • Sustainable Computing
  • Intelligent Data Analytics
  • Cloud and Edge Computing Security
  • AI Applications in Healthcare and Smart Cities

Session organizer(s)

  1. Dr. Shivani Vats
    Associate Professor
    Jagan Institute of Management Studies, JIMS, drshivanivats@gmail.com

Title: Next-Generation Artificial Intelligence: Generative AI, Agentic AI, and Autonomous Computing

Call for Papers for the topics mentioned below :

• Generative Artificial Intelligence (Generative AI)
• Agentic AI and Autonomous Intelligent Agents
• Large Language Models (LLMs) and Foundation Models
• Small Language Models (SLMs)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering and AI Reasoning
• Multi-Agent Systems and Agent Collaboration
• AI Agents for Automation and Decision Support
• Autonomous Computing and Self-Learning Systems
• Explainable, Trustworthy, and Responsible AI
• AI Governance, Ethics, and Fairness
• Machine Learning and Deep Learning
• Reinforcement Learning and Decision Intelligence
• Natural Language Processing (NLP)
• Computer Vision and Multimodal AI
• AI for Robotics and Autonomous Systems
• Edge AI and Distributed Intelligence
• AI for Internet of Things (AIoT)
• AI in Healthcare and Biomedical Applications
• AI for Cybersecurity and Threat Intelligence
• AI in Smart Cities and Intelligent Transportation

Session organizer(s)

  1. Dr. A. Mallikarjuna Reddy, HoD, Dept of AIML, Anurag University.
  2. Dr. R. Sravanth Kumar Ramakuri, Assistant Professor, Dept. of AIML, Anurag University. Email: sravanthkumar.ai@anurag.edu.in
  3. Dr. P. Naga Srinivasu, Associate Professor, School of Computing, Amrita Viswa Vidyapeetham.
  4. Dr. Kranthi Kumar Singamaneni, HoD, Associate Professor, Dept. of AIML, Symbiosis Institute of Technology, Hyderabad

Title: Next-Gen Intelligent Systems: AI Hardware Accelerators, Sustainable Computing and Emerging Technologies, Edge AI, and Smart Applications

Call for Papers for the topics mentioned below :

• Low-power AI hardware architectures, TinyML, and microcontroller implementations
• Neuromorphic computing, brain-inspired systems, and deep learning acceleration
• VLSI 0design, System-on-Chip (SoC) architectures, and hardware security
• Intelligent robotics, sensor fusion, and real-time embedded edge systems
• Computer vision, pattern recognition, and AI-driven image/video signal processing
• Applied machine learning and edge intelligence for IoT and cyber-physical systems
• Edge-to-cloud analytics, distributed systems, and smart communication protocols
• Interdisciplinary AI applications across healthcare, automation, and smart cities

Session organizer(s)

  1. Dr. Nataraj Urs H D
    Associate Professor
    School of ECE, REVA University (natarajurs.hd@reva.edu.in)  
  2. Dr. Vidyasagar K N
    Associate Professor
    School of ECE, REVA University (vidyasagarkn@reva.edu.in)

Title: AI-Driven Convergence of IIoT, Industry 5.0, Blockchain, IoV and IoMT for Sustainable and Intelligent Cyber-Physical Ecosystems

Call for Papers for the topics mentioned below :

  • AI-Driven IIoT and Industry 5.0
  • IoV and Intelligent Connected Mobility
  • IoMT and AI-Enabled Smart Healthcare
  • Digital Twins and Intelligent Cyber-Physical Systems
  • Blockchain, Decentralized Trust and Secure Data Sharing
    Federated, Explainable, Trustworthy and Responsible AI
  • Edge/Fog Computing, 5G/6G and Intelligent IoT Networking
  • Smart Manufacturing and Sustainable Supply Chains
  • Cybersecurity, Privacy and Resilient IoT Ecosystems
  • Green AI, Green Computing and Sustainable Smart Ecosystems
  • Human-Centric and Collaborative Systems in Industry 5.0
  • SDG-Driven Smart Healthcare, Smart Cities and Smart Industries
  • Emerging Applications, Industrial Case Studies and Real-World Deployments

Session organizer(s)

  1. Dr. Ayushi Prakash
    Ajay Kumar Garg Engineering College, Ghaziabad, U.P., India
    Email: ayushi5edu@gmail.com

  2. Dr. Vikash Bhardwaj
    Dewan VS Institute of Engineering & Technology, Meerut, U.P., India
    Email: bhardwajvikash.ee@gmail.com

Title: AI-Driven Convergence of IIoT, Industry 5.0, Blockchain, IoV and IoMT for Sustainable and Intelligent Cyber-Physical Ecosystems

Call for Papers for the topics mentioned below :

  • Causal Explainable AI (Causal XAI)
  • Counterfactual reasoning and causal inference in AI
  • Explainability in deep learning and large language models (LLMs)
  • Trustworthy AI: fairness, accountability, and transparency
  • Bias detection, evaluation, and mitigation techniques
  • Adversarial robustness and interpretable AI systems
  • Explainable reinforcement learning
  • Human-centered and interactive explainability
  • Multimodal, distributed, and federated explainable AI
  • Privacy-preserving and secure AI systems

Session organizer(s)

  1. Dr. S. Deepika
    Associate Professor
    Department of Computer Science and Engineering
    Amity University, Hyderabad, India
    Email: deepikajaiswal9963@gmail.com

Title: Visual Intelligence in the Era of Foundation and Agentic AI

Call for Papers for the topics mentioned below :

  • Foundation Models for Computer Vision

  • Vision-Language Models and Multimodal Foundation Models

  • Generative AI for Image and Video Understanding and Generation

  • Visual Question Answering (VQA) and Visual Reasoning

  • Pattern Recognition and Intelligent Visual Analytics

  • Multimodal Learning and Cross-Modal Representation

  • Visual Grounding, Image Captioning, and Visual Dialogue

  • Large Vision-Language Models (LVLMs)

  • Vision-Language Agents and Agentic AI for Visual Understanding

  • Retrieval-Augmented Generation (RAG) for Multimodal AI

  • Visual Reasoning, Knowledge Representation, and Context-Aware AI

  • Explainable and Trustworthy Vision-Language Models

  • Video Understanding and Temporal Reasoning

  • 3D Vision, Spatial Intelligence, and Embodied Visual Intelligence

  • Autonomous Visual Agents and Vision-Based Decision-Making

  • Few-Shot, Zero-Shot, and Continual Learning for Visual Intelligence

  • Efficient and Edge-Based Vision Foundation Models

  • Human-AI Collaboration and Interactive Visual Intelligence

  • Applications in Healthcare, Smart Agriculture, Robotics, Surveillance, and
    Autonomous Systems

  • Evaluation, Robustness, Safety, Bias, and Hallucination in Multimodal and Agentic AI

Session organizer(s)

  1. Dr. Ankireddy Sri Venkata Praneel
    Associate Professor
    Department of Computer Science and Engineering, ASET
    Amity University, Hyderabad, India
    Email:praneelsri@gmail.com

Title: AI Frontiers: Exploring Generative AI, Foundation Models, LLMs, Agentic AI & Multimodal Intelligence

Call for Papers for the topics mentioned below :

  • Generative AI architectures and emerging paradigms
  • Generative models: GANs, VAEs and Diffusion Models
  • AI-generated text, images, audio, video and 3D content
  • Prompt engineering and prompt optimization
  • Retrieval-Augmented Generation (RAG)
  • Fine-tuning and instruction tuning
  • Responsible and trustworthy
  • Generative AI
  • Foundation models and their evolution
  • Pre-training, fine-tuning and transfer learning
  • Vision, language and multimodal foundation models
  • Domain-specific and industry-specific foundation models
  • Efficient training and inference of large models
  • Model compression, quantization and knowledge distillation
  • Transformer architectures and attention mechanisms
  • Training and evaluation of LLMs
    LLM-based applications and intelligent assistants
  • Hallucination detection and mitigation
  • LLM reasoning, planning and knowledge integration
  • Small Language Models (SLMs) and edge deployment
  • Multilingual and low-resource language models
  • AI agents and autonomous decision-making
  • Multi-agent systems and collaborative AI
  • Agent planning, reasoning and tool use
  • Agentic workflows and AI orchestration
  • AI agents for robotics and autonomous systems
  • Human–AI collaboration
  • Safety, reliability and controllability of autonomous agents
  • Vision-Language Models (VLMs)
  • Multimodal Large Language Models (MLLMs)
  • Text–image, text–audio and text–video intelligence
  • Multimodal reasoning and representation learning
  • Multimodal information retrieval
  • Multimodal conversational AI
  • Applications in healthcare, education, manufacturing and smart cities
  • AI-powered healthcare and medical diagnosis
  • Smart education and personalized learning
  • AI for cybersecurity
  • Intelligent IoT and edge AI
  • AI-driven robotics and autonomous vehicles
  • Smart manufacturing and Industry 5.0
  • AI for finance, agriculture and sustainability
  • Digital twins and intelligent decision-support systems
  • Explainable and interpretable
  • Generative AI
  • Trustworthy, ethical and responsible AI
  • AI safety and alignment
  • Privacy-preserving AI
  • Federated learning with foundation models
  • Green AI and energy-efficient models
  • Edge and on-device
  • Generative AI
  • AI governance, regulation and standards

Session organizer(s)

  1. HKBK College of Engineering, Bengaluru, India

Title: AI Frontiers: Data-Centric AI: Synthetic Data, Data Quality, and Reliable Learning for Intelligent Systems

Call for Papers for the topics mentioned below :

  • Data-Centric AI methodologies and frameworks
  • Dataset quality assessment and data quality metrics
  • Data cleaning, curation, integration, and preprocessing for AI
  • Synthetic data generation and evaluation
  • Generative models for synthetic datasets
  • Data augmentation and data-efficient learning
  • Automated data labeling, annotation, and label-quality assessment
  • Learning with noisy, incomplete, imbalanced, and weakly labeled data
  • Dataset bias, representativeness, and fairness from a data-centric perspective
  • Data provenance, lineage, traceability, and reproducibility
  • Data drift, distribution shift, and continual data quality monitoring
  • Active learning and intelligent data selection
  • Data-centric approaches for small-data and low-resource learning
  • Privacy-preserving synthetic data and data sharing
  • Federated and distributed data-centric learning
  • Multimodal dataset construction and alignment
  • Data-centric approaches for LLMs, foundation models, and multimodal AI
  • Benchmarking and evaluation of datasets and data pipelines
  • Human-in-the-loop data engineering for AI
  • Domain-specific data-centric AI for healthcare, agriculture, manufacturing, IoT,
    cybersecurity, smart cities, and other intelligent applications
  • Efficient data pipelines for edge, cloud, and distributed AI systems
  • Responsible and sustainable data-centric AI

Session organizer(s)

  1. Dr. Priyanka Paygude
    Professor,
    Department of Information Technology,
    Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune
    Email: pspaygude@bvucoep.edu.in

  2. Dr. Sonali Mali
    Associate Professor,
    Department of Information Technology,
    Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune
    Email: sdmali@bvucoep.edu.in

  3. Dr. Milind Gayakwad
    Associate Professor,
    Department of Information Technology,
    Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune
    Email: mdgayakawad@bvucoep.edu.in
    Contact

  4. Prof. Prashant Chavan
    Assistant Professor,
    Department of Information Technology,
    Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune
    Email: pschavan@bvucoep.edu.in