It is a collection of Master's Dissertations submitted in fulfillment of the courses awarded by the Indian Statistical Institute in the subject areas of Statistics, Mathematics, Computer Science, Quantitative Economics, Cryptography, Library & Information Science, Statistical Quality Control and Operations Research.
Theses/Dissertations from 2026
Efficiency Improvement of RAG based SLM for Edge Devices, Pavan Prashanth Avanigadda
Developing a Model to Generate More Digital Data of Indian Languages for Multilingual Applications, Arya Bagde
Adaptive Spectral Trust Gate for Physics- Constrained Operator Learning, Soham Chakraborty
Learning in Infants using Intrinsically Motivated Goal Conditioned Reinforcement Learning, T I Darsan
Bias Before Generation: Attention-based Preemptive Fairness Signals in Large Language Models, Aniket Das
Deep Reinforcement Learning with Directed Asymmetry and Kolmogorov-Arnold Networks for Dismantling Interdependent Multiplex Networks, Soumyajit Dev
Spectral Unmixing using Machine Learning, Debashis Dhar
Kernelizing Protein Interaction Languages: Spectral Approximations and Random Fourier Features, Aishik Ghosh
Predictive importance sampling based coverage verification for multi uav trajectory planning, Snehashish Ghosh
Learning to See Lesions, Not Skin Tone: Counterfactual Multimodal Learning for Fair, Trustworthy, and Text-Free Dermatology AI, Shivam Jangid
Design and Evaluation of a Code-Switching-Aware Multilingual Conversational AI System using Advanced RAG Architectures, Ashutosh Juvale
Dynamic Property Ordering for Efficient Multi-Property Bounded Model Checking, Vivek Kumar
Galaxy Morphology Classification Using Deep Learning, Dipanwita Kundu Roy
Multi-Frequency Associative Memory for Continual Graph Learning through Nested Optimization, Shuvam Kundu
Simultaneous Tumor Delineation and Report Generation from Brain MR Images, Adish Mallik
Leveraging Spatial Statistics for Domain Adaptation of Vision Language Models in Medical VQA, Himanshu Raj
Extending UniBreak: Semantic Retrieval and Harmful-Intent Direction Suppression for Token-Level LLM Jailbreaking, Sanket Saha
A Study of Prompt Tuning on Small Language Models(SLMs): A Controlled Benchmark and a Lightweight Instance-Aware Method, Narkadamilli Sahith
A Switch-Point-Aware Contrastive Approach to Sentiment Analysis of Hinglish Code-Mixed Text, Prasant Kumar Sahoo
Reproducing and Analyzing the “Lost in the Middle” and “The Power of Noise” Phenomenon in Retrieval-Augmented Generation, Kousik Samanta
Non-Euclidean Geometries and Fairness Constraints in Advanced Clustering, Arnab Seal
Air-Writing Recognition, Gaurang Shukla
An Efficient Hierarchical Deployment Of Sensors For K-coverage In Planner Wireless Sensor Network, Abhay Raj Singh
American Sign Language Recognition and Analysis Using Deep Learning, Saurabh Kumar Soni
Enhanced Embedding for Multimodal Medical Visual Question and Answering, Akash Suna