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  • Light weight code - mix neural machine translation 
    Bansal, Subhanshu; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    In the contemporary multilingual landscape of online communication, the emergence of codemixed language, the seamless integration of multiple languages within a single utterance, has become increasingly prevalent. The ...
  • Lipid force distribution analysis 
    Pandey, Shivanshu; Ray, Arjun (Advisor) (IIIT-Delhi, 2023-11-29)
    Lipid Force Distributional Analysis: Unraveling Membrane Dynamics Cellular membranes, integral to diverse biological processes, consist of a complex interplay of lipids governing crucial molecular interactions. This study ...
  • LLMs and their applications for novel recipe generation 
    Gupta, Pavitra; Agrawal, Rahul; Bansal, Rahul; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-10-28)
  • LLMs in healthcare 
    Mishra, Prateek; Raina, Aryaman; Goyal, Harshit; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-29)
    This paper explores the integration of Large Language Models (LLMs), in the healthcare domain, focusing on improving accessibility, medication management, and public health awareness. The research investigates the ...
  • LLM’s & prompt engineering 
    Yadav, Parmesh; Singh, Ojasva; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2023-12-09)
    This study explores the synergy between Large Language Models (LLMs) and Knowledge Graphs (KGs) within the domain of legal reasoning. We investigate how the integration of structured legal knowledge into LLMs can enhance ...
  • LLVM backend development for ReISC architecture 
    Gupta, Pooja; Guha, Apala (Advisor) (2015-12-02)
    In today's complex environment, it is very crucial for the devices to feature low power consumption at allow cost. Internet of things is predicted to bring an era where everything will have chips embedded in them, be it ...
  • Local citation recommendation for scientific research papers 
    Jindal, Shivam; Goyal, Sourav; Goyal, Vikram (Advisor) (IIIT-Delhi, 2023-11-28)
    This project aims to design and develop a local citation recommendation system. The system is designed to assist users in recommending accurate and relevant citations for their scientific research papers. It can save time ...
  • Local re-adjustment based approaches for load balanced network voronoi diagram 
    Mehta, Ankita; Gunturi, Venkata M. Viswanath (Advisor) (2017-05)
    Input to the Load Balanced Network Voronoi Diagram (LBNVD) consists of the following: (a) a transportation network represented as a directed graph; (b) locations of public service units (e.g., schools in a city) as vertices ...
  • Location privacy in MobiShare 
    Soubam, Sonia; Naik, Vinayak (Advisor) (2013-05-30)
    This work focuses on providing privacy in MobiShare, which is a location-based service that assists users in searching and sharing files. A user’s mobility profile is summarization of its raw mobility data in terms of ...
  • Long document keyphrase extraction 
    Gautam, Dibya; Agrawal, Navneet (IIIT-Delhi, 2021-11)
    Keyphrase extraction is the task of automatically extracting a set of phrases from a document that represents the overall context of the given document. Such keyphrases can be used in multiple ways in Information retrieval, ...
  • Low complexity reconfigurable physical layer for the l-band digital aeronautical communications system 
    Agrawal, Niharika; Darak, Sumit J. (Advisor) (IIIT-Delhi, 2022-05)
    Exponential increase in global air traffic and demands to support heterogeneous services ranging from data to multimedia have compelled communication the- orists and engineers to explore an alternative to existing very ...
  • Low energy and sufficiently accurate localization for non-smartphones 
    Yadav, Kuldeep; Naik, Vinayak; Singh, Amarjeet; Singh, Pushpendra (2012-03-14)
    Location-aware applications are steadily gaining popularity across the world. However lack of GPS in low-end programmable phones (< $100) and general absence of Wi-Fi infrastructure in developing countries prevents users ...
  • Low phase noise & fast startup crystal oscillator 
    Pandit, Avinash; Grover, Anuj (Advisor) (IIIT-Delhi, 2019-06)
    The crystal oscillator is widely used in the electronics industry since it has become one of the essential parts of the reference clock for the Phase-locked loop (PLL). Highperformance systems benefit from higher frequency ...
  • Low power low phase noise LC VCO for sub GHZ range in 40nm technology 
    Sharma, Sapna; Visweswaran, G S (Advisor); Sengupta, Susanta (Advisor) (IIIT-Delhi, 2020-08)
    One of the most widely used blocks in Communication System design is Phase locked loop (PLL). PLLs are used as clock generators, frequency synthesizers, clock recovery in microprocessors and many other applications. The ...
  • Low rank group sparse representation based adaptive face recognition 
    Yadav, Shivangi; Vatsa, Mayank (Advisor) (2016-09-13)
    Face recognition is an important area of research due to its requirement in our day-to-day life, be it surveillance or authentication. Current advancements in technology and computational power have shown promising results ...
  • Low resource language processing 
    Kumar, Tanya Sanjay; Shah, Rajiv Ratn (Advisor); K, Sarveswaran (Advisor) (IIIT-Delhi, 2022-05)
    Natural Language Processing has been one of the most important domain in computer linguistics in today’s world. Though there are various efficiently performing tools and models for various NLP subtasks for English, Indic ...
  • MAB on hardware 
    Pareek, Animesh; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2023-11-29)
    The Multi Armed Bandit (MAB) problem in the Reinforcement Learning field refers to the problem of allocating resources in certain choices for achieving an overall goal with the objective of maximizing expected gain. Our ...
  • Machine learning aided cancer drug response prediction using chemo-genomic data 
    Sharma, Prashant; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2023-07)
    The intricate nature of tumor heterogeneity and the personalized responses of cancer patients to drug treatments present significant challenges in the field of oncology. In this thesis, I aim to address such challenges by ...
  • Machine learning and deep learning models for solvation energy prediction 
    Tejas; Murugan, N Arul (Advisor) (IIIT-Delhi, 2023-08)
    Drug discovery is divided into 4 phases. The first phase is in-silico processes beginning with target identification and validation, followed by the hit discovery process, assay development, high throughput screening, ...
  • Machine learning approaches in cancer detection and treatment 
    Sarita; Sengupta, Debarka (advisor); Kumar, Lalit (advisor) (IIIT-Delhi, 2023-12)
    Cancer has become the second leading cause of mortality worldwide, and early de-tection and adequate treatment are crucial in reducing the cancer burden. Metastasis,which involves malignant cells detaching from the primary ...

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