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 2025
Geometry Based UAV Trajectory Planning for Mixed User Traffic in mm Wave Communication, Sk Abid Hasan
Word Level Attack for Text Ranking, Tanmay Karmakar
Virtual Assistant for Pest Management, Viswanada Chakravarthy Karri
Addressing class imbalance problems to improve animal detection through aerial image data, Suryang Koushal
Federated Learning Using Fully Homomorphic Encryption, Sk Golam Kuddus
Texture Classification through Deep Residual Networks and Feature Interpretability, Ankit Kumar
Detection of Fake News in Short Videos: A Multimodal Approach, Mona Kumari
Cloud-assisted Multi-Channel Data Broadcasting, Debabrata Maji
Anonymous Communication in Quantum Networks, Anish Majumdar
Differential Privacy Enabled Deep Skin Image Classification Model Development, Prasun Kumar Mandal
How Long Can I Transmit? A Mobility Aware mmWave-based UAV Communication Framework, Shawon Mitra
On the Deployment of RIS-mounted UAV Networks, Anupam Mondal
Morphology based Galaxy Classification, Ayan Mukherjee
2.5D Dual-Encoder U-Net for Lesion Segmentation in Chest CT Scans, Jagannath Mukkara
Multi Trajectory Guided Model Inversion Attacks, Indrajit Nandi
Monochromatic Empty Triangles in Two-Colored Point Sets, Adrish Paik
Tkbe : Two Key Broadcast Encryption For The Iot, Rachit Parikh
Glacier velocity estimation using Adaptive Search Window and Patch size, Pratik Patil
Threshold Symmetric-Key Encryption for Tabular Data, Subhendu Pramanick
Tweaking ML-KEM (Kyber) and ML-DSA (Dilithium), Kumar Rahul
Causal Explanations in Deep Learning Systems, Dhruv Vansraj Rathore
The Monodromy Leak for a Generalized Montgomery Ladder, Arani Raychaudhuri
Binary Document Filtering for Retrieval-Augmented Generation, Sreyan Saha
Uncertainty-driven Fusion for Conflictive Multiview Data: Beyond View Alignment Assumptions, Puspamalya Sahoo
Dynamic Sparsification in Secure Gradient Aggregation for Federated Learning, Bikash Samanta