Faculty Contributions Information Technology

Research and Development Publications Journal Publications AY : 2021-22

• P. Jana, A. Phadikar, and H. Mandal, “FPGA based implementation of reversible data hiding scheme for content verification and quality access control of image,” International Journal of Signal and Imaging Systems Engineering, vol. 12, no. 3, pp. 93–107, Sep. 2021.

AY : 2022-23

• S. Sengupta, A. Dutta, S. A. M. Abdelmohsen, H. A. Alyousef, and M. Rahimi-Gorji, “Development of a rice plant disease classification model in big data environment,” Bioengineering, vol. 9, no. 12, p. 758, 2022, doi: 10.3390/bioengineering 9120758.

AY : 2023-24

• S. Sengupta, D. Datta, S. S. Rajest, P. Paramasivan, T. Shynu, and R. Regin, “Development of rough-TOPSIS algorithm as hybrid MCDM and its implementation to predict diabetes,” International Journal of Bioinformatics Research and Applications, vol. 19, no. 4, pp. 252–279, 2023.
• A. Das, V. Kumar, A. N. Hati, and S. Bharti, “A systematic analysis of the gap between academia and industry perspectives on machine learning applications in safety-critical systems,” IEEE Transactions on Education, vol. 67, no. 6, pp. 889-896, 2024.
• S. Mitra and S. Acharyya, “Sample classification by selecting informative genes: a greedy multi-objective simulated annealing approach,” International Journal of Information Technology, vol. 16, no. 6, pp. 3449-3463, 2024.

AY : 2024-25

• A. Das, V. K. Singh, and S. Dutta, “A fuzzy-based AHP-VIKOR framework for risk analysis of safety-critical systems: a case study of nuclear power plant,” Annals of Nuclear Energy, vol. 209, pp. 110841, 2024.
• R. Dutta, S.Sengupta, A. Das,” A Study On The Development Of An Intelligent Text Classification Model For Personality Classification” in Journal of Emerging Technology and Innovative Research (ISSN-2349-5162), July 2024, Volume 11, Issue 7, pp-391-403.

AY : 2025-26

• U. Sen, “A predictive and availability-aware job scheduling algorithm for resource management in cloud,” International Journal of Computing, 2025.

Conference Publications AY : 2021-22

• P.Adhikary, A. Phadikar, H. Mandal, and P. K. Sing, “Digital image watermarking technique using Arnold transform and lifting,” in Proc. 5th Int. Conf. Electronics, Materials Engineering and Nano-Technology (IEMENTech), Kolkata, India, Sep. 24–26, 2021.

AY : 2022-23

• I.Dalui, A. Sakar, and A. Chakrabarty, “Smartfog: A profit-aware real-time resource allocation strategy for fog/edge computing,” in Proc. Int. Conf. Paradigms of Computing, Communication and Data Science, 2022.

AY : 2023-24

• D. Chakraborty, S. Gupta, D. Ghosh, A. Purkayastha, P. Chakraborty, and A. Das, “Deep learning methods in object detection: R-CNN to Mask R-CNN,” in Proc. ICIA 2024, NIT Jamshedpur, India, 2024.
• D. Datta, P. P. Singha, U. Sen, and P. K. Mallick, “A correlative survey on imbalanced breast cancer data using ensembled oversampling techniques and deep learning algorithms,” in Proc. 2024 Int. Conf. Emerging Systems and Intelligent Computing (ESIC), Bhubaneswar, India, 2024, pp. 324–329, doi: 10.1109/ESIC60604.2024.10481607.
• P. Das, “Detection of diseases in mango leaves based on different classification algorithms and their comparisons using machine learning,” in Proc. Int. Conf. Security, Surveillance and Artificial Intelligence (ICSSAI), Dec. 2023, Taylor & Francis.

AY : 2024-25

• S. P. Chowdhury, S. De, S. Neogi, A. Das, and S. Roy, “A comparative analysis of fraud detection in financial transactions through leveraging information gain and diverse machine learning techniques,” in Proc. Sustainable Communication, Machine Intelligence, and Metaverse (SCMIM), 2025 (presented)
• A. Das, “A hybrid intrusion detection framework for hypervisor-based MitM attack in medical cyber-physical system: leveraging PCA, anomaly detection, and KNN,” in Proc. 2nd Int. Conf. Artificial Intelligence and Machine Vision, 2025.
• P. Das, “Detection of diseases in rubber leaves based on different classification models and comparative analysis using Python,” in Proc. 4th Int. Conf. Frontiers in Computing and Systems, Dec. 2024, Springer.

AY : 2025-26

• A. Biswas, D. Hati, S. Sengupta, A. Das. (2026). “Design of a Smart Dustbin Model for Waste Management”. International Conference on Computational Intelligence and Information Retrieval held on 24th – 25th April, 2025 at SNU Kolkata. In Lecture Notes in Networks and Systems (LNNS, volume 1593) Springer Nature Switzerland Print: 978-3-032-02789-4, Online: 978-3-032-02790-0, pp 75-91.
• P. Das, “Spatio-spectral identification of leaf disease regions by fusing optical and microwave imaging using machine learning,” in Proc. Computational Intelligence and Cyber Physical Systems (CICPS), Springer, Jan. 2026.
• A. K. Panda, R. Haldar, A. Roy, H. S. Mondal, B. Ghosal, and A. K. Bhunia, “Green IoT communications with ASCON-MQTT: A framework for secure and low-power connectivity,” in Proc. IEEE 2nd Int. Conf. Green Industrial Electronics and Sustainable Technologies (GIEST), 2025.
• B. Baidya, A. Sarkar, and R. Ghoshal, “Multi-class sugarcane leaf disease classification using a ConvNextV2-based deep learning framework,” in Proceedings of the International Conference on Advances in Computer Science Engineering & Technology (ICACSET 2025), Dec. 2025, (presented).
• A. Das, “A hybrid intrusion detection framework for hypervisor-based MitM attack detection in medical cyber-physical systems: leveraging PCA, anomaly detection, and KNN,” in Proc. 2025 Int. Conf. Artificial Intelligence and Machine Vision (AIMV), IEEE, 2025.
• U. Sen, D. Datta, A. Amer, M. T. Islam, M. Hafez, and M. F. Ijaz, “Server-side adaptive trimming policy to defend against data poisoning attacks in federated learning,” in Proc. 2025 Asian Conf. Communication and Networks, IEEE, Jordan, 2025 (accepted).
• D.Datta, U. Sen, A. Amer, M. T. Islam, M. Hafez, and M. F. Ijaz, “A hybrid technique for breast cancer detection with efficient imbalance removal and classification using ShuffleNetV2 architecture,” in Proc. 2025 Asian Conf. Communication and Networks, IEEE, Jordan, 2025 (accepted).
• M. T. Islam, P. N. Srinivasu, H. Attar, Z. C. Muda, U. Sen, N. P., A. Jose, and M. F. Ijaz, “A joint sensing and rendezvous approach for dynamic cognitive radio networks,” in Proc. 2025 Asian Conf. Communication and Networks, IEEE, Jordan, 2025 (accepted).
• J. Mahata and S. Jana, “Automated detection and correction of punctuation symbols in Bengali language texts: A rule based approach,” in Proceedings of the 3rd International Conference on Recent Advances in Artificial Intelligence & Smart Applications (RAAISA 2025). Springer, 2025, (accepted and presented).
• P. Chatterjee, S. Ghosh, S. Sengupta, D. Hati “Development of a Fertilizer Prediction System Using Adaboost Algorithm” International Conference on Computational Intelligence and Information Retrieval held on 24th – 25th April, 2025 at SNU Kolkata. In Lecture Notes in Networks and Systems (LNNS, volume 1593) Springer Nature Switzerland Print: 978-3-032-02789-4, Online: 978-3-032-02790-0, pp 425-436
• A. Saha, A. Aich, A. Mukherjee, A. Banerjee, and S. Sengupta, “An integrated feature fusion framework for gerbera variety prediction using computer vision,” in Proceedings of the 4th International Conference on Innovations in Data Analytics (ICIDA 2025), Dec. 5–6, 2025. Springer Nature, 2025, (accepted and presented).
• A. Ghosh, S. Sengupta “Workplace Diversity, Employee Productivity, and Quality of Work: Decision Modelling with Rough Sets” in proceedings at International Conference (ICFHME 2026) 25th April,2026 at Supreme Knowledge Foundation Group of Institutions, Mankundu.(accepted and presented)

Book Chapter Publications AY : 2021-22

• S. Sengupta, K. R. Pal, “Design of an Intelligent Diabetes Prediction Model in Big Data Environment”,Lect. Notes in Networks, Syst., Vol. 376, EISSN:2367-3389,PISSN:2367-3370,pp- 151-163by Springer Nature,2022
• T. K. Srivastava, A. Ghosh, H. Mandal, A. Phadikar, and P. Adhikary, “Controlled chaos position transformation and noise generation based keyless speech encryption technique,” in Proc. Int. Conf. Computational Intelligence, Data Science and Cloud Computing (IEM-ICDC), Springer, Kolkata, India, Dec. 22–23, 2021.

AY : 2022-23

• S. Sengupta, K.R.Pal, V. Garg ”Design of an Intelligent System for Diabetes Prediction by Integrating Rough Set Theory and Genetic Algorithm” in book entitled " Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics” by CRC Press, eBook ISBN: 9781003217107,8th August,2022,chapter 9,15 pages.
• S. Sengupta, S. Pyne, S. Chattopadhyay, “Designing of a Rough-PSO basedCovid -19 prediction Model” in book entitled " Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics” by CRC Press, Taylor and Francis Group, eBookISBN: 9781003217107, 8th August,2022, chapter15,13 pages.
• I. Dalui, A. Sakar, and A. Chakrabarty, “Smartfog: A profit-aware real-time resource allocation strategy for fog/edge computing,” in Proc. Int. Conf. Paradigms of Computing, Communication and Data Science, 2022.

AY : 2024-25

• S. Roychowdhury, B. K. Singh, A. Das, and A. Choudhury, “Challenges and solutions for balancing usability and security for users with physical difficulties in medical cyber-physical systems,” in Cyber-Physical Systems Security: A Multi-disciplinary Approach, Singapore: Springer Nature, 2025, pp. 151–177.

AY : 2025-26

• S. Sengupta, D. Datta “Development of a Neutrosophic Set Theory Based Feature Selection Method for Classification of Paddy Seed ”in AI and Data Analytics in Precision Agriculture for Sustainable Development, Part of the book series: Springer Studies in Computational Intelligence ((SCI, volume 1215)),pp 293-308 (Scopus Indexed),July,2025 Online ISBN:978-3-031-93087-4, Print ISBN:978-3-031-93086-7

Intellectual Property Rights Patent

• Dr. A. Phadikar and P. Mahanti: A System And Method To Implement Data Hiding For Quality Access Control Of Grayscale Image (South African Patent Granted On 25 Jan. 2023, Patent Application Number: 2022/12486)

External Funding Mr A. Sarkar, Assistant Professor of IT Department MCKVIE received a Grant as Project Coordinator from University of Meriland, Baltimore USA on Awareness Workshop Project on Cyber Hygiene Training Program (AWCHTP) during 2025 onwards.


Achievements and Awards

• Dr. Shampa Sengupta received a grant of Rs 3,33,000 as coordinator from AICTE for conducting an STTP on "Big Data Analytics using Soft Computing Tools", 2018-2019.
• Dr. Shampa Sengupta and Mr. Sachin Balo received a grant of Rs. 2 Lac as coordinator and co-coordinator from AICTE for AICTE-VAANI. workshop on “Drone Driven Smart Agriculture Practices for Precision Crop Disease Detection”, 2025-2026.
• Dr. Shampa Sengupta was NPTEL 2% Topper for the subject “Big Data Computing” July - Dec, 2024.
• Dr. Shampa Sengupta was NPTEL 2% Topper for the subject “Cloud Computing and Distributed System” Jan-June, 2024.
• Dr. Shampa Sengupta was NPTEL 2% Topper for the subject “Introduction to Internet of Things” July-Dec, 2025.
• Dr. Shampa Sengupta, recognised as awardee of Leadership and Commitment to Information Security at Consultivo Information Security Leadership Quiz on 24th September 2025 at CII ICT East 2025 Kolkata.
• Dr. Debashis Mukherjee has been recognized for the Best Capstone Project titled “AI Agent - University” under the Tata Consultancy Services APEX Faculty Development Program, February 2026.
• Dr. Debashis Mukherjee received NPTEL Domain certifications in the "Programming" and "Foundations of Computing" under NPTEL Computer Science domain, Mar 2026.
• The abstract titled “Augmented Processing Technique for Convex Hull Computation” by Dr. Debashis Mukherjee received the Best Abstract Award in one of the tracks at the MCKVIE Research Symposium 2026 (MRS-2026) held in April 2026.
• The abstract titled “Edge Intelligence for Internet of Things : Activity Detection Via TinyML Anomaly Sensing” by Mr. Asim Kumar Panda received the Best Presentation Award in one of the tracks at the MCKVIE Research Symposium 2026 (MRS-2026) held in April 2026.
• Dr. Suman Mitra was NPTEL 2% Topper for the subject “Deep Learning” Jul-Oct 2025.
• Dr. Suman Mitra was NPTEL 2% Topper for the subject “Machine Learning and Deep Learning – Fundamentals and Applications” Jul-Oct 2024.