Computer Science and Engineering: Recent submissions

  • Android side channel attacks 
    Raza, Mohd Irfan; Chakravarty, Sambuddho (Advisor) (IIIT-Delhi, 2025-07-19)
    In the last decade, the smartphone boom made it accessible to everyone and everywhere. These days almost everyone has a smartphone and among them, most of the people spend most of their time on the smartphones. And smartphones ...
  • Accurate coresets 
    Ranjan, Sanskar; Shit, Supratim (Advisor) (IIIT-Delhi, 2024-12-04)
    This report shows my work where I introduced a unified framework for constructing accurate coresets in machine learning. Accurate coresets are weighted subsets of the original data that preserve the loss function of a ...
  • Counter speech ranking 
    Gupta, Karan; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2024-11-27)
    This thesis presents the development of a novel ranking method for intent-conditioned counter speeches. The primary aim of this thesis is to analyze hate speech on online social platforms and identify the most effective ...
  • On recovering fair and accurate classifiers with imperfect distributions 
    Sharma, Mohit; Shah, Rajiv Ratn (Advisor); Deshpande, Amit (Advisor) (IIIT-Delhi, 2026-08)
    In the context of classification, the Bayes optimal classifier represents the best possible classification rule with respect to the 0-1 loss, for a given data distribution. In the setting of binary classification, it can ...
  • Automatic partitioning of parallel programs on heterogeneous multicore processors 
    Kansal, Rohak; Gupta, Samridh; Kumar, Vivek (Advisor) (IIIT-Delhi, 2024-11-27)
    With the advent of hybrid CPUs integrated with GPUs, achieving peak performance and energy efficiency necessitates the effective utilization of all available resources. This project explores workload partitioning strategies ...
  • Federated learning for radio environment mapping 
    Kumar, Lakshay; Sarkar, Shamik (Advisor) (IIIT-Delhi, 2024-11-28)
    My work extends previous work on proactive spatial prediction of radio environments for spectrum sharing by integrating it into a distributed Federated Learning (FL) framework. In this enhanced version of the Federated ...
  • Novel recipe generation using LLMs 
    Mehta, Saurabh; Gupta, Aditya; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2024-11-30)
    Generating novel recipes within specific cuisine constraints is a challenging task that combines creativity with cultural authenticity. This study explores the capabilities of fine-tuned large lan guage models (LLMs), ...
  • navX : online guidance platform 
    Singh, Niharika; Singh, Rajbir (Advisor) (IIIT-Delhi, 2024-11-27)
    This project presents navX, a comprehensive career guidance platform in the form of a website, designed to address the gaps in current systems by providing personalized and accessible career advice to students and parents, ...
  • Visual ocean wave analytics 
    Garg, Navyam; Sharma, Tizil; Anand, Saket (Advisor) (IIIT-Delhi, 2024-12-12)
    Accurate prediction and tracking of ocean wave dynamics especially near the beach side are important for enhancing the safety and experience of surfers. This study presents a deep learning based approach that uses computer ...
  • Chatbot for recipe videos 
    Raman, Param Kumar; Kumar, Rahul; Raj, Ankit; Adarsh (IIIT-Delhi, 2024-11-27)
    This report explores advancements and methodologies in the development and fine-tuning of large language models (LLMs) and their integration into knowledge-intensive tasks. It em phasizes the role of retrieval-augmented ...
  • Dynamic target tracking for quadrotors using liquid neural networks 
    Singal, Akanksha; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2024-12-02)
    Image Based Visual Servoing (IBVS) and autonomous navigation in robots often rely on phys ical markers for fast detection and estimation of pose and orientation. However, in real-world scenarios, the use of fiducial markers ...
  • Leveraging langchain and generative AI for PDF information retrieval 
    Himani; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2024-11-25)
    One of the biggest challenges when it comes to retrieving information from diversified and complex datasets, such as PDFs, is their unstructured nature and the possibility of re ceiving irrelevant or incorrect responses. ...
  • Alteration in spin transport of a modified magnetic tunnel junction due to resonant tunneling 
    Abhisri, Arya; Ghosh, Ram Krishna (Advisor) (IIIT-Delhi, 2024-04-29)
    This study explores potential improvement in the efficiency of traditional Magnetic Tunnel Junctions (MTJ) through utilisation of an altered double MTJ with a non-magnetic metalllic spacer (tungsten) for resonant tunneling. ...
  • SLIM-SENSE: a resource efficient WiFi sensing framework towards integrated sensing and communication 
    Walecha, Aryan; Maity, Mukulika (Advisor); Bhattacharya, Arani (Advisor); Singh, Vijay Kumar (Advisor) (IIIT-Delhi, 2024-11-27)
    WiFi signals have become pivotal in sensing applications by leveraging Channel State Informa tion (CSI). WiImg, a novel system, utilizes Generative Adversarial Networks (GAN) for image inpainting to perform WiFi sensing ...
  • Deception analysis: controlled dialogue summarization 
    Arora, Arjit Singh; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2024-11-27)
    In the field of deception analysis, controlled dialogue summarization plays a critical role in dis tilling key information from witness testimonies. This project aims to develop a summarization framework for interrogations ...
  • Product launch at CiPD 
    Garg, Dhruv; Garg, Archit; Gupta, Raj; Grover, Anuj (Advisor) (IIIT-Delhi, 2024-11-26)
    In an era where personal safety remains a paramount concern, especially among vulnerable groups such as women, children, and the elderly, innovative solutions are essential to address the escalating risks of stalking, ...
  • Code generation and repo understanding using LLMs, knowledge graphs and search-based algorithms 
    Gupta, Akshit; Yadav, Nishchay; Shah, Rajiv Ratn (Advisor); Anand, Avinash (Advisor) (IIIT-Delhi, 2024-11-27)
    The increasing complexity of codebases demands advanced methods for automated code gener ation and repository understanding. This project explores the synergistic application of large language models (LLMs), knowledge ...
  • Lightweight optimization strategies for modern video applications over wireless networks 
    Chaudhary, Shubham; Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2026-07)
    The various video applications running over wireless networks face a common set of challenges, such as inconsistent bandwidth, high network variability, and sudden latency spikes. Considering such constraints, this thesis ...
  • The shape of learning: topological and geometric perspectives on neural representations 
    Suresh, Suryaka; Abrol, Vinayak (Advisor) (IIIT-Delhi, 2026-06)
    This thesis presents a unified framework for analysing the “expressivity” of Deep Neural Networks by combining factor analysis with topological data analysis (TDA). The central idea is to study the learning in Neural ...
  • Comparing large language models with small language models for healthcare applications 
    Tiwari, Abhijay; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2024-12-01)
    Large Language Models (LLMs) have revolutionized natural language processing applications, but their computational and memory demands often overshadow their utility in resource-constrained scenarios, particularly in ...

Search Repository


Advanced Search

Browse

My Account