Computer Science and Engineering: Recent submissions

  • TTS in codemix domain 
    Bharti, Rahul; Akhtar, Md Shad (Advisor) (IIIT-Delhi, 2024-11-27)
    We aim to develop a Text-to-Speech (TTS) system for code-mixed corpora, addressing the unique challenges posed by multilingual and mixed-language text. To establish a robust foundation, we first reviewed TTS literature ...
  • Comparative assessment of bias in human cognition and large language models 
    Gupta, Arnav; Garg, Parth; Yadav, Shagun; Jalote, Pankaj (Advisor); Kumar, Manohar (Advisor) (IIIT-Delhi, 2024-12-12)
    Abstract This study compares the biases in human cognition and those exhibited by large language mod- els (LLMs) compared using the same assessment instrument. The research evaluates biases across eight key parameters—gender, ...
  • Road accident detection 
    Sanjana; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2024-11-28)
    Road accidents pose a significant public safety concern in India, leading to substantial loss of life and numerous injuries each year. This project delves into existing literature and global practices to assess accident ...
  • Cost bias mitigation of audio deepfake detection 
    Kandpal, Sarthak; Gupta, Anubha (Advisor) (IIIT-Delhi, 2024-12-08)
    With the rapid development and advance in the field of Speech Synthesis technology, differentiation of genuine and fake audios has become increasingly challenging. This semester the project focuses on benchmarking the voice ...
  • BOT-TA 
    Balachandran, Aarav; Anishka; Mehta, Atharva; Gupta, Nipun; Jalote, Pankaj (Advisor); Kumar, Dhruv (Advisor) (IIIT-Delhi, 2024-04-29)
    The integration of artificial intelligence (AI) in education has been a topic of interest for researchers and educators alike. This paper presents the results of a study that focuses on the use of ChatGPT, an AI-based ...
  • 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 ...
  • AirWalk: a novel magical locomotion technique 
    Kumar, Prince; Kumar, Ayush; Ansari, Mohammad Areeb; Srivastava, Anmol (Advisor) (IIIT-Delhi, 2025-07-18)
    Locomotion techniques in Extended Reality (XR) hold immense potential to transcend physical limitations and amplify user engagement in virtual environments. However, existing methods often struggle to balance intuitive ...
  • 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 ...
  • Identification and patch generation of security vulnerabilities in web applications using LLMs and static analysis tools 
    Kaushik, Manit; Gupta, Pranav; Jalote, Pankaj (Advisor); Kumar, Dhruv (Advisor) (IIIT-Delhi, 2024-11-27)
    Web application vulnerabilities, such as Cross-Site Scripting (XSS) and Code Injections, pose significant security risks, often leading to data breaches and privacy issues. Traditional Static Application Security Testing ...
  • 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 ...
  • Tropical cyclones and its impact on firms/schools - evidence from coastal India 
    Panvanda, Kashvi; Kankheria, Mayank Kumar; Dutta, Souvik (Advisor) (IIIT-Delhi, 2025-07-24)
    Tropical cyclones have long posed significant threats to life, property, and livelihoods in coastal regions. While substantial research has explored their effects on agriculture and infrastructure, there remains a notable ...
  • B.Tech project: barkedo-building a brand in the pet-care industry 
    Mittal, Manasva; Goel, Devanshi; Grover, Anuj (Advisor) (IIIT-Delhi, 2024-11-27)
    This report details Barkedo’s progress in its mission to revolutionize the pet care industry through strategic initiatives in event management and product development. During this quar- ter, the focus has been refined to ...
  • Numin: developing a near real-time machine-learning competition/tournament based on Indian financial markets. 
    Gera, Ashutosh; Shroff, Gautam (Advisor) (IIIT-Delhi, 2024-11-22)
    The project is an integrated trading system and tournament platform designed to leverage advanced algorithmic trading strategies using the Numin API. The system encompasses a com- prehensive suite of tools for data ...
  • 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 ...
  • ROBIFY 
    Jain, Aryan; Grover, Anuj (Advisor) (IIIT-Delhi, 2024-11-27)
    Robify is an innovative educational and e-commerce platform designed to bridge the gap be- tween theoretical STEM knowledge and practical application through hands-on robotics and IoT learning solutions. Founded in 2023, ...
  • Molecular generation and property prediction using LLMs with chemical feedback and alignment 
    Srivastava, Anushka; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2024-11-27)
    We aim to leverage the use of LLMs in drug discovery to generate new molecules given the description of their properties. Zinc-250K dataset is used to build the dataset and various LLMs and SOTA Models are selected for ...
  • Trajectory prediction and forecasting of moving objects on roads 
    Kabra, Shreyas; Shrey; Anand, Saket (Advisor); Kaul, Sanjit Krishnan (Advisor) (IIIT-Delhi, 2024-11-27)
    This work presents the building of the pipeline for the autonomous vehicle (AV). Our task was to combine perception models and tracking algorithms to get real-time detection and tracking of objects in diverse road environments. ...
  • Safe reinforcement learning 
    Singh, Divyajeet; Kaul, Sanjit K (Advisor) (IIIT-Delhi, 2024-11-28)
    Reinforcement Learning (RL) has gained significant traction as a powerful paradigm for solving sequential decision-making problems. This includes exceptional progress in autonomous vehicles [11, 17], algorithmic trading ...

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