Call For Special Session Proposals

The editorial board expects floating ‘Special Sessions’ to supplement the regular program of ISDIA-2025 in terms of emerging research topics of a specific domain of interest by eminent professors and researchers (based on their specialization and research accomplishments). The general requirements and guidelines for the ‘Special Session Proposal’ are provided below:

1. Each special session should provide an overview of the state-of-the-art and highlight important research directions in a field of special interest to conference participants. It should be a focused proposal rather than being defined broadly/generally. 

2. The following should be included in the proposal (not exceeding 02 pages):

(a) Title of the proposed special session along with short abbreviation.

(b) Names/affiliation of the Session Chair(s) (including brief bio and contact info) along with email-id of all chairs).

(c) Session abstract/theme (should clearly mention the significance of the topic and the rationale of the need for the proposed session).

(d) Topics of Interest.

(e) Submission Process (E-Mail submission only). ( Chairs of Special sessions have to invite papers in theier own mail id and make the peer review)

3. The final approval of the proposed session would be based on the novelty and the key area focused along with its multi-disciplinary essence.

4. Please submit your Special Session Proposal by email


5. The decision of approval will be communicated within three days along with detailed procedural guidelines’. Your approved ‘Call for Papers-for Special Session’ would be then uploaded on this webpage.


ALL REGISTERED PAPERS OF SPECIAL SESSIONS SHALL BE PUBLISHED IN SCOPUS INDEXED Springer Lecture Notes  in Networks and Systems ( KIndly chcke the details on indexing in the link.

Template for preparation of Special Session Proposal

List of Special Sessions  Co-Located With ISDIA 2024

SL No. Special Session Title Special Session Chairs E-mail ID for paper Correspondance
1 Emerging Trends in Cognitive Computing and Deep Learning (ETCDL) Dr. B. Janakiramaiah, Professor & HoD, AI&DS, PVPSIT, Vijayawada, Andhra Pradesh, India.
    Dr. C S Pavan Kumar, Asst Professor, VRSEC, Vijayawada, Andhra Pradesh, India.  
2 Challenges and Application of Artificial Intelligence & Machine Learning (CAIML) Dr. Pritee Parwekar, Associate Professor, AI&SRMIST, Delhi-NCR Campus
    Dr.Seifedine Kadry, Professor of Data Science, Noroff University College, Kristiansand, Norway, Reviewer National Science Foundation Graduate  
3 Interdisciplinary Innovation for Emerging Technologies and Sustainability Dr. P R Anisha, Associate Professor, Stanley College of Engineering and Technology for Women
    Dr C Kishor Kumar Reddy, Associate Professor, Stanley College of Engineering and Technology for Women  
4 “Recent Advancement in Integration of Artificial Intelligence in Renewable Energy and Grids: Techniques, Challenges, Applications”. (AIREG) Mr. Abhishek Vishnoi, Assistant Professor Kanpur Institute of Technology, Kanpur, India,
    Mr. Saurabh Kumar, Assistant Professor Institute of Engineering and Rural Technology, Prayagraj, India  
    Mr. Vikas Verma, Teaching & Research Fellow Netaji Subhas University of Technology, Delhi, India  
5 Recent Developments of Sensors Imaging SystemandTechniques Dr.S.Kannadhasan, Head of the Department, Department of ElectronicsandCommunication Engineering, Study World College of Engineering, Coimbatore-641105
    Dr.R.Nagarajan, Professor, Department of Electrical and Electronics Engineering, Gnanamani College of Technology, A.K Samuthiram, Namakkal, TamilnaduIndia-637018  
    Dr. Alagar Karthick, Associate Professor, Department of Electrical and ElectronicsEngineering, K.P.R. Institute of Engineering and Technology, Coimbatore-641407Tamilnadu, India  
6 “Intelligent Computing in Multidisciplinary EngineeringApplications” Dr. Amit Joshi, Director, Global Knowledge Research Foundation, Ahmedabad
7 “Applications of Machine learning/ AI algorithmin Engineering” Dr. Sandeep Samantaray, Assistant Professor, Department of Civil Engineering NIT Srinagar, J & K, India
8 IOT with Machine Learning and Deep Learning Applications Dr. Somya Rakesh Goyal Manipal University Jaipur, Jaipur-303007, Rajasthan, India