MTech Theses: Recent submissions

  • 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 ...
  • Optimising serialisation for cloud applications 
    Nayak, Siddharth; Shah, Rinku (Advisor) (IIIT-Delhi, 2024-05-21)
    Serialisation latency is a significant concern in modern cloud applications that leverage the microservice paradigm. A cloud service request typically traverses a sequence of microservices across nodes, increasing latency ...
  • Programmable proxy for microservice communication in multi-cloud environments 
    Pathak, Shambhavi; Shah, Rinku (Advisor) (IIIT-Delhi, 2024-05-21)
    As enterprises migrate from single-cloud to multi-cloud architecture, they encounter challenges due to geographical dispersion, varying WAN characteristics, and diverse cloud policies. These challenges demand a re-evaluation ...
  • Skeleton-based interactive object co-part segmentation 
    Bhadauriya, Harsh Vardhan; Jerripothula, Koteswar Rao (Advisor) (IIIT-Delhi, 2023-05)
    Object co-part segmentation, which involves segmenting shared objects into meaningful parts in a group of images, is a challenging joint-processing task. Although fully unsupervised deep learning algorithms exist for this ...
  • Incongruence identification in eyewitness narratives 
    Nair, Akshara; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2024-07)
    Eyewitness accounts are crucial to legal and investigative proceedings, serving as foundational sources for reconstructing events. Agencies typically collect multiple statements to achieve a thorough understanding of the ...
  • Advancing gene signature discovery with generative models : a case study in sepsis 
    Sharma, Anjali; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-05-01)
    Sepsis and diabetes present intricate medical conditions that present substantial challenges to healthcare systems globally. Timely detection and precise diagnosis are critical in facilitating effective treatment and ...
  • Federated learning with distribution models 
    Reddy, Gunjapalli Sravani; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2024-06-14)
    This thesis investigates the integration of Mixture Density Networks (MDNs) within Federated Learning (FL) frameworks to tackle challenges in data privacy, security, and model robustness, focusing on Automatic Speech ...
  • A digital honor code : detecting academic dishonesty with keystroke dynamics 
    Kundu, Debnath; Shah, Rajiv Ratn (Advisor); Kumar, Rajesh (Advisor) (IIIT-Delhi, 2024-05-20)
    As educational assessments migrate to digital platforms, ensuring academic integrity becomes crucial. Traditional plagiarism detection systems struggle to catch instances of intelligent cheating, especially when students ...
  • Participation strategies in federated learning with heterogeneous client communications 
    Agrawal, Shubham; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2024-06-01)
    In cross-device federated learning (FL) [1], a machine learning model is developed by leveraging communication between a central server and numerous edge device clients. In practical scenarios, the ability of these edge ...
  • Quaternion-enhanced neural networks : a new paradigm for audio processing efficiency 
    Chaudhary, Aryan; Abrol, Vinayak (Advisor) (IIIT-Delhi, 2024-05-01)
    This thesis explores the integration of quaternion algebra into neural network architectures to enhance their efficiency for diverse audio processing tasks. Quaternion-based transformations are employed to achieve structural ...
  • Taxonomy completion via sector hierarchy 
    Talukdar, Indraayudh; Akhtar, Md Shad (Advisor) (IIIT-Delhi, 2024-07-01)
    Taxonomy is a hierarchical structure that deals with knowledge. It can be perceivedas Knowledge graph with all the relations being only ’is-a’. Automatic creation of taxonomies can be achieved by creation scratch, by ...
  • Exploration of continual learning paradigm for large-scale speaker verification systems 
    Verma, Akash; Abrol, Vinayak (Advisor) (IIIT-Delhi, 2024-05-21)
    Speaker verification (SV) focuses on confirming or denying the claimed identity of a speaker. It is a one-to-one comparison between the test utterance and the claimant’s stored reference voice sample. This process is ...
  • Indian legal case judgment document mining : semantic segmentation and information extraction 
    Das, Antara; Goyal, Vikram (Advisor) (IIIT-Delhi, 2024-05-01)
    Developing NLP-based techniques to automate tasks in the Indian legal domain is highly demanding due to the enormously increasing volume of legal text documents, intricate legal terminologies, and the need for efficient ...
  • Patterns and problems : analyzing document layouts and improving mathematical reasoning of llms 
    Gupta, Mohit; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2024-05-08)
    Documents play a pivotal role in conveying information, serving as integral carriers of knowledge across various domains. Their importance lies in their ability to encapsulate ideas, facts, and insights, thereby facilitating ...
  • Federated distribution learning 
    Bansal, Mehak; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2024-01-19)
    Distribution Learning is a form of machine learning which involves the distribution of data across in a network having multiple devices. Each node is trained independently, and then combined the results to generate a model ...
  • VT-Nood : vision transformer based near ood detection in fine-grained datasets 
    Dey, Kaushik; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2024-08-01)
    Machine Learning models output high confidence scores when provided with input samples that belong to the input data distribution, referred to as in-distribution (ID) samples. However, when presented with an Out of ...
  • Channel-graph regularized correlation filter for visual object tracking 
    Tyagi, Arjun; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-07-01)
    Correlation filter (CF) based tracker often disregard or weakly incorporate the importance of feature channels as well as channel similarity. To address this, we propose a channel-graph regularization correlation filter-based ...

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