Computer Science and Engineering: Recent submissions

  • 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 ...
  • Multiclass android malware detection 
    Gautam, Ankit; Chakravarty, Sambuddho (Advisor); Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2024-11-27)
    Abstract Android malware poses a significant threat to mobile device security, necessitating robust and efficient detection systems. This project focuses on developing a multiclass classification frame- work for detecting ...
  • Towards robocall and scam call detection 
    Anand, Abhijeet; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2024-11-29)
    Abstract The rapid increase of robocalls and scam calls has become a significant threat to individuals and organizations worldwide, causing financial losses, emotional distress, and breaches of pri- vacy. These malicious ...
  • Deep learning based named entity recognition 
    Oberoi, Rahul; Lakra, Saumil; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2024-12-10)
    This project focuses on developing a robust Named Entity Recognition (NER) system tailored for recipe ingredient phrases, a critical task in computational gastronomy. The proposed ap- proach employs transformer-based models ...
  • Development of an immersive and intuitive user interface of a CAD modelling tool using virtual reality 
    Raj, Harshit; Swarnim; Shankhwar, Kalpana (Advisor) (IIIT-Delhi, 2024-11-27)
    We have done work on making a software in unity 3D which can be used in industry for 3D visualization of shapes. We are going to briefly discuss what we have done by having an introduction, literature review, methodology ...
  • VertexVQA4k: enhancing large language model proficiency: advanced datasets for solving complex geometric problems 
    Popat, Harsh Parimal; Mital, Harshil; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2024-11-27)
    Over the course of the semester we worked on VertexVQA4k, a comprehensive multimodal dataset designed for secondary-level geometry education, drawing from Indian curricula. The dataset, containing approximately 4,000 ...
  • Artificial intelligence in predicting diseases from food consumption 
    Pal, Harsh Kumar; Shah, Samar Vinod; Shankhwar, Kalpana (Advisor) (IIIT-Delhi, 2024-11-27)
    The increasing prevalence of dietary-related health issues has necessitated the development of tools to analyze food consumption and its impact on health. This project explores the potential of artificial intelligence (AI) ...
  • Assessing large language models for data standardization in healthcare data interoperability 
    Bindlish, Aditya; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2024-11-25)
    A large amount of public data is being generated, but the lack of standard formats and field names makes it hard to combine and use data efficiently. This lack of standardization limits the ability to analyze and apply ...
  • 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 ...

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