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 chaireamcon@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 30th April, 2026.

An Honorarium of 10% of the total registration amount collected for the registered paper in that special session will be provided to the session organizer (please note that a minimum of 10 papers should be registered and presented (either online or offline) to run a special session). 

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 - Smart Decision Support and Analytics for Digital Health and Telemedicine

Call for Papers for the topics mentioned below :

  • Smart clinical decision support systems (CDSS)
  • Machine learning and deep learning for telemedicine
  • Real-time analytics for remote patient monitoring
  • Wearable sensor data analysis and health IoT
  • Predictive and preventive healthcare analytics
  • Explainable and trustworthy AI in digital health
  • Time-series analysis of physiological signals (ECG, EEG, PPG)
  • Data fusion from multimodal healthcare sources
  • Telehealth platforms and intelligent triage systems
  • Healthcare operations analytics for virtual care
  • Privacy-preserving and secure healthcare analytics
  • Edge and cloud analytics for digital health systems

Session organizer(s)

  1. Dr. Sapna R
    Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education,
    Manipal, India (sapna.r@manipal.edu)

  2. Dr. Raghavendra Devadas
    Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education,
    Manipal, India

  3. Dr. Preethi
    Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education,
    Manipal, India

  4. Dr. Sowmya T
    Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education,
    Manipal, India

Title - Integrating Artificial Intelligence and Machine Learning with Devop’s: Harmonizing Agility and Unleashing Synergy

Call for Papers for the topics mentioned below :

  • AI and Machine Learning in Health Sector
  • Machine Learning and AI for Cloud Computing
  • Security and Privacy with Machine Learning Op’s
  • Human Augmentation: Integrating AI with Human Capabilities
  • Blockchain and Decentralized Technologies
  • Quantum Computing: Current State and Future Prospects

Session organizer(s)

  1. Dr. Santosh Reddy P, Associate Professor, Department of Computer Science & Technology,
    Dayananda Sagar University, Bangalore 560114, Karnataka, India.
    Mail Id: dr.santoshreddy-ct@dsu.edu.in

  2. Dr. Anitha N, Professor, Department of Computer Science & Engineering, BNM Institute of
    Technology, Bangalore 560070, Karnataka, India.
    Mail id: anithan@bnmit.in

Title - Applied AI in Healthcare: Real‑World Impact on Diagnosis, Rehabilitation & Treatment

Call for Papers for the topics mentioned below :

  • AI‑enabled early diagnosis tools (imaging, wearables, predictive analytics)
  • Machine learning models for disease risk stratification and monitoring
  • AI‑assisted rehabilitation technologies (sensors, robotics, motion tracking)
  • Intelligent treatment planning and personalized medicine applications
  • Clinical validation frameworks and evidence‑based outcome studies
  • Integration challenges: ethics, safety, accuracy, bias, and reliability
  • Real‑world case studies demonstrating measurable patient impact
  • Emerging trends: multimodal AI, digital twins, and noninvasive monitoring

Session organizer(s)

  1. Dr.Soly Mathew Biju

    PhD (CS)| MBA (IT) | CEng | FBCS (UK) | CITP | FHEA (UK)

    Chartered Engineer (UK) |Fellow of Higher Education Academy (UK)

    Head of Global Health and Wellbeing Research Cluster,

    Associate Professor

    University of Wollongong in Dubai

    United Arab Emirates (SolyMathewBiju@uowdubai.ac.ae)

Title - Computational Intelligence and Soft Computing Techniques for Intelligent VLSI Circuit Design

Call for Papers for the topics mentioned below :

  • Machine learning and deep learning for VLSI optimization

  • Soft computing approaches (fuzzy logic, neuro-fuzzy systems) for analog and mixed-signal circuits

  • Evolutionary and swarm intelligence algorithms for VLSI synthesis and layout

  • Reinforcement learning for design space exploration and EDA automation

  • Intelligent power, performance, and area (PPA) optimization

  • AI-assisted modeling of variability, reliability, and aging

  • Neuromorphic and approximate computing architectures

  • Hardware accelerators for edge and embedded AI

Session organizer(s)

  1. Dr. Sarfraz Hussain
    Assistant Professor
    School of Electronics and Communication Engineering
    REVA University, Bengaluru, India (s.hussainec@gmail.com)

  2. Dr. Sankar Prasad Bag
    Associate Professor
    School of Electronics and Communication Engineering
    REVA University, Bengaluru, India

Title - Multi-Modal Medical Image Analysis and Fusion for Explainable and Clinically Grounded Diagnosis

Call for Papers for the topics mentioned below :

  • Multi-modal fusion of MRI, CT, and PET images for comprehensive disease characterization

  • Vision-language models for joint medical image and radiology report understanding

  • Retrieval-based systems integrating imaging data with electronic health records (EHRs)

  • Explainable AI frameworks for tumor detection and staging from fused imaging modalities

  • Cross-modal attention mechanisms for medical image–text alignment and reasoning

  • Knowledge graph–enhanced medical image fusion for clinically interpretable outputs

  • Federated multi-institutional medical image fusion using privacy-preserving pipelines

  • Uncertainty-aware multimodal fusion for risk prediction and treatment planning

  • Real-time diagnostic assistants combining ultrasound imaging and clinical data
    analysis

  • Self-supervised and domain-adaptive approaches for low-resource medical imaging
    scenarios

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. M. Shyamala Devi
    Research Professor
    Department of Robot and Smart System Engineering
    Kyungpook National University, Republic of Korea

Special Sessions ( 6-10 )

Title - Next-Generation Multimodal AI for Intelligent Data Management

Call for Papers for the topics mentioned below :

  • Cross modal representation learning
  • Multimodal reasoning and grounding
  • Graph Neural Networks for Multimodal Data Modelling
  • Multimodal fusion and modality integration
  • Multimodal Large Language Models
  • Multimodal Vision and Language based learning
  • Cross Modal retrieval and generation
  • Explainable and Responsible Multimodal AI
  • Scalable Data Management for Large-Scale Multimodal Systems
  • Multimodal AI for Smart Manufacturing and Industry 5.0

Session organizer(s)

  1. Dr. Gargi Bhide
    Dean Research and Development, Associate Professor
    School of Engineering and Technology, G H Raisoni International Skill Tech University, Pune, India .
    Mail id – gargi.bhide@ghristu.edu.in

  2. Dr. Supriya Mahadevkar
    Assistant Professor
    Department of Computer Engineering, Pimpri Chinchwad College of Engineering (PCCoE),
    Pune India . Mail id- supriya.mahadevkar@pccoepune.org

Title - Secure DevOps and Software Supply Chain Security: Advancing DevSecOps, SBOM, and Resilient CI/CD Ecosystems

Call for Papers for the topics mentioned below :

  • Secure CI/CD Pipelines
  • Software Supply Chain Risk Management
  • Container and Cloud-Native Security
  • AI and Analytics for DevSecOps
  • Governance, Compliance and Policy

Session organizer(s)

  1. Dr. Raja Praveen K. N
    Associate Professor, Department of Computer Engineering
    JAIN UNIVERSITY, Bangalore.
    Email ID: p.raja@jainuniversity.ac.in

  2. Dr.Sumalatha Lingamgunta
    Professor, Department of Computer Science & Engineering
    Jawaharlal Nehru Technological University Kakinada. (JNTUK)
    Email ID: lsumalatha@jntucek.ac.in

Title - Advanced antenna systems for 5G/6G applications

Call for Papers for the topics mentioned below :

  • Metamaterial, wearable antenna,
  • Reconfigurable antenna,
  • massive MIMO,
  • mmWave and terahertz antennas,
  • Antenna array,
  • Dielectric resonator,
  • Beamforming techniques,
  • Reconfigurable intelligent surfaces, and compact multi-band designs.
  • Emphasis will be given on high data rate antenna & design challenges, performance optimization, and integration with emerging 5G and beyond 6G networks

Session organizer(s)

  1. Dr. Brijesh Mishra

    Associate Professor, School of Engineering and Technology

    CMR University, Bengaluru, Karnataka.

    Email id: brijesh.mishra0933@gmail.com, brijesh.m@cmr.edu.in

  2. Dr. Sandeep Kumar P

    Associate Professor, SRM Institute of Science and Technology, Kattankulathur – Chennai

    Email id: vrpchs@gmail.com

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
    Professor, Department of AI & ML,
    Malla Reddy University, 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. Durgesh Nandan
    Dean (P & C) and Associate Professor,
    SR University, Warangal, India.
    Email ID: durgesh.nandan@sru.edu.in

Title - Application of AI/ML for Optimal Integration of Renewable Energy resources in Smart Grids

Call for Papers for the topics mentioned below :

  • AI/ML-based forecasting of renewable energy generation
  • Optimal scheduling and energy management in smart grids
  • Intelligent control and stability analysis of renewable-integrated power
    systems
  • Demand response and load prediction using machine learning techniques
  • Smart grid analytics, anomaly detection, and predictive maintenance
  • AI-enabled optimization for distributed energy resources and microgrids

Session organizer(s)

  1. Dr. Naveen Jain
    Professor
    College of Technology and Engineering, Udaipur
    Maharana Pratap University of Agriculture and Technology, Udaipur

  2. Dr. Manoj Kumawat
    Assistant Professor
    National Institute of Technology Delhi, New Delhi

  3. Dr. Umesh Agarwal
    Professor

    Jodhpur Institute of Engineering and Technology, Jodhpur

  4. Dr. Naresh Purohit
    Professor
    Jodhpur Institute of Engineering and Technology, Jodhpur