Special Sessions

Call For Special Session Proposals

The editorial board expects floating ‘Special Sessions’ to supplement the regular program of FICTA-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. We therefore expect that there are no overlaps with the regular tracks of FICTA-2025.

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).

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

To : info@ficta.co.uk
CC: editor.ficta@gmail.com

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.

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Template for preparation of Special Session Proposal

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LIST OF SPECIAL SESSIONS CO-LOCATED WITH FICTA 2024

Special Session No.& Title	Special Session Chairs
SS#01: AI, Machine Learning, Deep Learning Blockchain Models for Health Care Agriculture	Prof.(Dr).B Priestly Shan.,M.E.,Ph.D.,SMIEEE., Pro-Vice chancellor (Academic Affairs) Alliance University, Bangalore , Karnataka- INDIA
	Dr.R.Chinnaiyan Professor & Associate Director-Research Publications Computer Science and Engineering Alliance University, Bangalore, Karnataka- INDIA
	Dr. Reeba Korah Professor & Dean – Alliance College of Engineering and Design Alliance University, Bangalore , Karnataka- INDIA
	Dr.Rajesh Sharma Associate Professor Computer Science and Engineering Alliance University, Bangalore, Karnataka- INDIA
SS#02: Contemporary Challenge of Hybrid and Advanced Technologies of Sensors Techniques	Dr.S.Kannadhasan, Head of the Department, Department of Electronics and Communication Engineering, Study World College of Engineering, Coimbatore, TN, India
	Dr.R.Nagarajan, Professor, Department of Electrical and Electronics Engineering, Gnanamani College of Technology, A.K Samuthiram, Namakkal, Tamilnadu, India
	Dr. Alagar Karthick, Associate Professor, Department of Electrical and Electronics Engineering, K.P.R. Institute of Engineering and Technology, Coimbatore, Tamilnadu, India
SS#03: Explainable Artificial Intelligence approaches for contemporary Machine Learning Practices	Dr. Vikas Dhawan, Director General, IMS Noida, UP India
	Dr. Puneet Kumar, Professor, Additional Director, Chandigarh University, Gharuan, Mohali, Punjab, India,
	Dr. Narinder Kaur, Associate Professor, Chandigarh University, Gharuan, Mohali, Punjab, India
	Dr. Gaganjot Kaur, Associate Professor, Raj Kumar Goel Institute of Technology, Ghaziabad, India
	Dr. Bobbinpreet Kaur, Professor, Chandigarh University, Gharuan, Mohali, Punjab, India
SS#04: Emerging Trends and Technologies in Advancements on Healthcare Applications	Dr.Gaganjot Kaur, Associate Professor, Raj Kumar Goel Institute of Technology, Ghaziabad
	Dr. Narinder Kaur, Associate Professor, Chandigarh University
	Dr. Surbhi Bhatia, Assistant Professor, University of Salford, United Kingdom
	Dr.Amit Singhal, Professor, Raj Kumar Goel Institute of Technology, Ghaziabad
	Dr. Sukhpreet Kaur, Professor, Chandigarh Engineering College, Landran, Mohali
SS#05: Utilizing Multi-model AI to enhance Teaching and Learning within Hybrid Higher Educational Settings	Dr. Bilal Hassan, School of Computing and Digital Media London Metropolitan University UK
	Dr. Syed Husnain Sherazi, School of Computing, Newcastle University UK