MTech Theses: Recent submissions

  • Ship marine strategy database access using natural language: an application of LLM-based text-to-SQL model 
    Ghorai, Arunoday; Goyal, Vikram (Advisor) (IIIT-Delhi, 2024-12)
    The growing reliance on relational databases across industries and the ability to efficiently query and extract from a structured database has become a crucial skill in the industry. However, the Complexity of SQL Syntax ...
  • Automatic speech recognition for code-mixed Indian languages 
    Kumar, Shivam; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2025-05)
    Code-mixing presents significant challenges for Automatic Speech Recognition (ASR), especially for Indian languages, due to homophone ambiguity, domain-specific word identification, and data scarcity. Traditional ASR models ...
  • Simulating distributed ML training under heterogeneous network infrastructure 
    Temura, Arjun; Shah, Rinku (Advisor) (IIIT-Delhi, 2025-05-21)
    There has been an increasing demand to train ML models, particularly large language models (LLMs), on multiple GPUs to ensure reduced training time and costs. However, making the correct training configuration choice (for ...
  • Workload-aware in-network cryptographic primitives for FPGA NIC 
    Peer, Aditya; Shah, Rinku (Advisor) (IIIT-Delhi, 2025-05-21)
    With the increasing demand for low-latency and high-throughput requirements across emerging applications (for example, 5G/6G and the cloud), it has become imperative to offload compute-intensive tasks such as cryptographic ...
  • Parameterized complexity of computing twin width of a graph 
    Gusain, Mayank; Majumdar, Diptapriyo (Advisor) (IIIT-Delhi, 2025-06)
    This thesis explores the design of efficient algorithms for determining the twin-width of a graph from a parameterized complexity perspective. Twin-width is a graph parameter that gives a decomposition of the graph in the ...
  • Benchmarking dataset for latency-accuracy tradeoffs in autonomous vehicle systems 
    Paruthi, Sawan; Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2025-05)
    Autonomous Vehicle (AV) systems demand precise and timely processing of perception, pre-diction, and planning components to ensure safe and efficient operation. However, evaluating these components in real-world environments ...
  • Proportional fair spectrum sharing in a WiFi network of co-existing WiFi 7 and legacy nodes 
    Kumar, Puneet; Maity, Mukulika (Advisor) (IIIT-Delhi, 2025-05)
    Multi-Link Operation (MLO) in WiFi 7 promises to improve throughput and reduce latency for MLDs (multi-link devices). However, the performance of upcoming WiFi networks where the MLDs (Multi-Link Devices) and legacy SLDs ...
  • Leveraging road scene geometry for sensor calibration in visual traffic monitoring systems 
    Phalak, Yatin Rajendra; Anand, Saket (Advisor); Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2025-05)
    This thesis investigates how the inherent geometric structure of road scenes can be effectively leveraged to solve two critical problems in visual traffic monitoring systems: sensor calibration and vehicle speed estimation. ...
  • Fairness in machine learning 
    Mittal, Vani; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2025-08)
    Ensuring fairness in machine learning systems has become increasingly crucial as these models are deployed in socially consequential domains such as lending, hiring, and criminal justice. A significant challenge in fairness ...
  • Learning cross-modal embedding mappings for Image-to-music generation 
    Deepika, N; Abrol, Vinayak (Advisor) (IIIT-Delhi, 2025-05)
    This thesis investigates two sequential studies toward real-time music synthesis directly from images via learned cross-modal embedding mappings and presents a unified deep-learning framework. In Study I, we explored a ...
  • A novel fully-quantum LSTM: design and empirical evaluation for air quality index prediction 
    Singh, Davinder; Gupta, Anubha (Advisor); Bera, Debajyoti (Advisor) (IIIT-Delhi, 2025-07)
    Air Quality Index (AQI) forecasting is essential for public health and environmental policy. While accurate, traditional numerical weather prediction (NWP) models demand vast computational resources. Recent trends have ...
  • Beyond text: multimodal analysis for mental health diagnostics leveraging large language models 
    Tank, Chayan; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2025-07)
    Mental health disorders, particularly depression and suicide risk, represent critical public health challenges that are often underdiagnosed due to social stigma, lack of access to professionals, and the limitations of ...
  • KG-Scout : a policy driven knowledge-graph retrieval framework to mitigate factual inaccuracies of large language model 
    Chakraborty, Sourav; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2025-08)
    Large Language Models (LLMs) have rapidly advanced their ability to answer questions and perform complex reasoning tasks. However, they often generate factual inaccuracies and hallucinations because they lack access or ...
  • A journey down the federated valleys 
    Tyagi, Somya; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2025-06)
    Federated learning (FL) enables collaborative model training across distributed clients while preserving data privacy. However, the choice of optimizer on both the client and server sides significantly impacts training ...
  • Audio spoofing detection via hybrid feature integration 
    Singh, Barneet; Abrol, Vinayak (Advisor) (IIIT-Delhi, 2025-05)
    This thesis explores advanced techniques in the field of audio spoofing detection. With the emergence of high-quality deepfake generation techniques and the vulnerabilities in automatic speaker verification (ASV) systems, ...
  • Motion forecasting of surrounding agents for autonomous vehicles 
    Fayaz Lone, Junaid; Anand, Saket (Advisor); Sanjit, Kaul (Advisor) (IIIT-Delhi, 2025-05)
    Motion forecasting of surrounding agents is fundamental for autonomous systems navigating complex, dynamic environments. This capability enables autonomous vehicles and robots to anticipate the future trajectories of ...
  • Implementation of live video streaming using multipath over QUIC 
    Sood, Aruba; Bhattacharya, Arani (Advisor); Maity, Mukulika (Advisor) (IIIT-Delhi, 2025-05-01)
    The increasing demand for live online classes, especially in remote and underserved areas, underscores the importance of providing a seamless and high-quality experience to support effective learning. These real-time, ...
  • An improved method for predicting conformational B-cell epitopes in a protein sequence from its primary structure 
    Pandey, Anupma; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2025-06-01)
    The original CBTOPE method, introduced in 2009, was one of the first approaches for predicting conformational B-cell epitopes using only protein sequence information. While it has been widely adopted in the scientific ...
  • Detection to interpretation: advancing tabular data processing with multimodal AI 
    Bhuyan, Pijush; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2024-12-21)
    Tables are the most common form of structured data found in documents. Proper interpretation of such raw tabular data by computer systems remains an open challenge. We take a deep dive into document intelligence - which ...
  • Optimal transport guided contrastive video summarization 
    Siddiqui, Abu Osama; Subramanyam, A V (Advisor) (IIIT-Delhi, 2025-05-21)
    Understanding a video from concise summaries is of great importance for various applications such as browsing, retrieval and assistive technologies. In this work, we present unsupervised summarization of videos. Video ...

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