Power Consumption Analysis, Measurement, Management, and Issues: A State-of-the-Art Review of Smartphone Battery and Energy Usage. - Pijush Kanti Dutta Pramanik; Nilanjan Sinhababu; Bulbul Mukherjee; Sanjeevikumar Padmanaban; Aranyak Maity; Bijoy Kumar Upadhyaya; Jens Bo Holm-Nielsen; Prasenjit Choudhury (IEEE Access, 2019)

Mining multilingual and multiscript Twitter data: unleashing the language and script barrier. - Bidhan Sarkar; Nilanjan Sinhababu; Manob Roy; Pijush Kanti Dutta Pramanik; Prasenjit Choudhury (Int. J. Bus. Intell. Data Min., 2020)

Deep Learning Based Resource Availability Prediction for Local Mobile Crowd Computing. - Pijush Kanti Dutta Pramanik; Nilanjan Sinhababu; Kyung-Sup Kwak; Prasenjit Choudhury (IEEE Access, 2021)

Computational Intelligence Approach to Improve the Classification Accuracy of Brain Neoplasm in MRI Data. - Nilanjan Sinhababu; Monalisa Sarma; Debasis Samanta (CoRR, 2021)

Medical Information Retrieval and Interpretation: A Question-Answer based Interaction Model. - Nilanjan Sinhababu; Rahul Saxena; Monalisa Sarma; Debasis Samanta (CoRR, 2021)

Hidden features identification for designing an efficient research article recommendation system. - Arpita Chaudhuri; Nilanjan Sinhababu; Monalisa Sarma; Debasis Samanta (Int. J. Digit. Libr., 2021)

Improved Sequence Predictions using Knowledge Graph Embedding for Large Language Models. - Rabina Khatun; Nilanjan Sinhababu (AIMLSystems, 2023)

Mitigating DoS Attack in MANETs Considering Node Reputation with AI. - Subrata Joardar; Nilanjan Sinhababu; Soumyodeep Dey; Prasenjit Choudhury (J. Netw. Syst. Manag., 2023)

Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model. - Nilanjan Sinhababu; Andrew Parry; Debasis Ganguly; Debasis Samanta; Pabitra Mitra (EMNLP (Findings), 2024)

In-Context Learning in LLMs to Improve Retrieval Models. - Nilanjan Sinhababu (FIRE, 2024)

LEq: Large Language Models Generate Expanded Queries for Searching. - Nilanjan Sinhababu; Rabina Khatun (ICCCNT, 2024)

Detecting Unknown Shilling Attacks in Recommendation Systems. - Pradeep Kumar Singh 003; Pijush Kanti Dutta Pramanik; Nilanjan Sinhababu; Prasenjit Choudhury (Wirel. Pers. Commun., 2024)

Vendor PulseGen: Generative Vendor Risk Management Platform. - Swapnil Yasasvi; Nilanjan Sinhababu; Suman Kumar Chakraborty; Shuvo Bardhan (COMPSAC, 2025)

Modeling Ranking Properties with In-Context Learning. - Nilanjan Sinhababu; Andrew Parry; Debasis Ganguly; Pabitra Mitra (CoRR, 2025)