A Data Mining Approach to Determine an Efficient Learning Path. - Souvik Sengupta 001; Ranjan Dasgupta (CSREA EEE, 2010)

Construction of Learning Path Using Ant Colony Optimization from a Frequent Pattern Graph - Souvik Sengupta 001; Sandipan Sahu; Ranjan Dasgupta (CoRR, 2012)

Learners' Quanta based Design of a Learning Management System - Souvik Sengupta 001; Nabendu Chaki; Ranjan Dasgupta (CoRR, 2012)

A comparison algorithm to check LTSA Layer 1 and SCORM compliance in e-Learning sites - Souvik Sengupta 001; Saurabh Pal 001; Nilanjan Banerjee (CoRR, 2012)

Using Semiformal and Formal Methods in Software Design: An Integrated Approach for Intelligent Learning Management System. - Souvik Sengupta 001; Ranjan Dasgupta (ACSS (2), 2014)

Use of Semi-Formal and Formal Methods in Requirement Engineering of ILMS. - Souvik Sengupta 001; Ranjan Dasgupta (ACM SIGSOFT Softw. Eng. Notes, 2015)

Architectural design of a LMS with LTSA-conformance. - Souvik Sengupta 001; Ranjan Dasgupta (Educ. Inf. Technol., 2017)

LTSA conformance testing to architectural design of LMS using ontology. - Souvik Sengupta 001; Ranjan Dasgupta (Educ. Inf. Technol., 2017)

Possibilities and Challenges of Online Education in India During the COVID-19 Pandemic. - Souvik Sengupta 001 (Int. J. Web Based Learn. Teach. Technol., 2022)

Predicting applicable law sections from judicial case reports using legislative text analysis with machine learning. - Souvik Sengupta 001; Vishwang Dave (J. Comput. Soc. Sci., 2022)

A Review on Machine Learning and Deep Learning Based Approaches in Detection and Grading of Alzheimer's Disease. - Sampa Rani Bhadra; Souvik Sengupta 001 (CICBA (1), 2023)

Mapping Learner's Query to Learning Objects using Topic Modeling and Machine Learning Techniques. - Souvik Sengupta 001; Saurabh Pal 001; Pijush Kanti Dutta Pramanik (Scalable Comput. Pract. Exp., 2023)

A Hybrid CNN Model for Deep Feature Extraction for Diabetic Retinopathy Detection and Gradation. - Nilarun Mukherjee; Souvik Sengupta 001 (Int. J. Artif. Intell. Tools, 2023)

Bridging Cognitive Computing with Multi-Cloud Integration. - Souvik Sengupta 001; Ali Nikoukar; Maria Barros Weiss; Sara Madariaga; Asimakis Lykourgiotis; Athanasios Kordelas; John Beredimas (CAMAD, 2024)

Application of deep learning approaches for classification of diabetic retinopathy stages from fundus retinal images: a survey. - Nilarun Mukherjee; Souvik Sengupta 001 (Multim. Tools Appl., 2024)

Legislative Text Analysis from Judicial Case Reports Using Machine Learning. - Souvik Sengupta 001 (SN Comput. Sci., 2024)

Bi-Directional Hybrid Attention Feature Pyramid Network for Detecting Diabetic Macular Edema in Retinal Fundus Images. - Nilarun Mukherjee; Souvik Sengupta 001; Mohammad Nadeem Ahmed; Syed Irfan Yaqoob; Mohammad Rashid Hussain; Abu Taha Zamani (IEEE Access, 2025)

Efficient parameter estimation in biochemical pathways: Overcoming data limitations with constrained regularization and fuzzy inference. - Abhisek Bakshi; Souvik Sengupta 001; Rajat K. De; Abhijit Dasgupta 001 (Expert Syst. Appl., 2025)