Call For Special Session Proposals

The editorial board expects floating ‘Special Sessions’ to supplement the regular program of FICTA-2024 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-2024.

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.


Template for preparation of Special Session Proposal

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LIST OF SPECIAL SESSIONS CO-LOCATED WITH PREVIOUS 11th EDITION OF FICTA

Special Session No.& Title Special Session Chairs
SS#01: Challenges and Application of
Artificial Intelligence & Machine Learning
Dr. Pritee Parwekar Department of Computer Science & Engineering, Faculty of Engineering and Technology, SRM University Delhi-NCR Campus
Email: priteep@srmist.edu.in / pritee2000@gmail.com
Dr. SeifedineKadry Professor of Data Science Noroff University College, Kristiansand, Norway Reviewer National Science Foundation Graduate
Email: seifedine.kadry@noroff.no
Prof BG (Benita) Zulch Faculty of Engineering, Built Environment and Information Technology Department of Construction Economics University of Pretoria
Dr. Bushra Naeem Faculty of ICT Balochistan University of Information Technology Engineering and Management Sciences (BUITEMS), Quetta, Pakistan
Email: bushra.naeem@ymail.com
Dr. Ikechi Ukaegbu School of Engineering and Digital Sciences, Department of Electrical and Computer Engineering Nazarbayev University Nur-Sultan city, 010000, Republic of Kazakhstan
Email: ikechi.ukaegbu@nu.edu.kz
SS#02: Image Vision based Pattern Recognition using Machine Learning and Deep Learning Techniques Dr. Mohanasundarm Ranganathan, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India
Dr. Suresh Kumar Nagarajan, Image and Vision Computing Lab, School of Computer Science and Engineering and information Science, Presidency University, Bangalore.
SS#03: Green Computing, Environment and Healthcare Prof. (Dr.) Saifur Rahman, Director, Virginia Tech Advanced Research Inst., USA.
Dr. Shabana Urooj, Princess Nourah bint Abdulrahman University, Riyadh, Kingdom of Saudi Arabia.
SS#04: Graph Based Application In Intelligent Computing Dr. Jayakrushna Sahoo, Assistant Professor, Indian Institute of Information Technology, Kottayam, Kerala, India.
Email: jsahoo@iiitkottayam.ac.in
Dr. Manu Madhavan, Assistant Professor, Indian Institute of Information Technology, Kottayam, Kerala, India.
Email: manum@iiitkottayam.ac.in
Dr. Selvi C, Assistant Professor, Indian Institute of Information Technology, Kottayam, Kerala, India.
Email: selvic@iiitkottayam.ac.in
Dr. Nandini J. Warrier, Assistant Professor, Indian Institute of Information Technology, Kottayam, Kerala, India.
Email: nandinijw@iiitkottayam.ac.in
SS#05: AI, Digital Twin and Block Chain for Health Care and Agriculture Dr. R. Chinnaiyan, Professor, School of Computer Science and Engineering, Presidency University, Bangalore - INDIA.
Dr. Sameeruddin Khan, Dean, School of Computer Science and Engineering, Presidency University, Bangalore - INDIA.
Dr. Kalaiarasan, Associate Dean, School of Computer Science and Engineering, Presidency University, Bangalore INDIA.
Dr. Jafar Ali Ibhrahim, Assistant Professor, Department of IoT, Vellore Institute of Technology, Tamil Nadu - INDIA.
SS#06: Blockchain 4.0: Artificial Intelligence and Industrial Internet of Things Paradigm in New Advanced Society Challenges, Applications Sandeep Kumar Panda, Department of Data Science and Artificial Intelligence, Faculty of Science and Technology, (IcfaiTech ), ICFAI Foundation for Higher Education (Deemed to be University), Hyderabad, Telangana, INDIA.
Dr. N. Suresh Kumar, Professor, Department of Computer Science and Engineering Kalasalingam Academy of Research and Education ( Deemed to be university) Anand Nagar, Krishnakovil, Tamilnadu.