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  • Label constrained shortest path estimation on large graphs 
    Likhyani, Ankita; Bedathur, Srikanta (Advisor) (2015-06-18)
    In applications arising in massive on-line social networks, biological networks, and knowledge graphs it is often required to find shortest length path between two given nodes. Recent results have addressed the problem of ...
  • Language models for temporal decisions in health datasets 
    Pal, Ridam; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2024-07)
    Healthcare has been undergoing a data-driven transformation, further accelerated by the COVID-19 pandemic. A significant amount of healthcare data is unstructured and underutilized. The success of Large Language Models ...
  • Latent factor models for collaborative filtering 
    Gogna, Anuprriya; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2017-04)
    The enormous growth in online availability of information content has made Recommender Systems (RS) an integral part of most online portals and e-commerce sites. Most websites and service portals, be it movie rental services, ...
  • Latent fingerprint matching 
    Sankaran, Anush; Vatsa, Mayank; Singh, Richa (2015-01-27)
    Latent fingerprint comparison evidences are used in the court of law for more than 100 years. Manual matching of latent fingerprints is challenged by subjectivity and inconsistency in terms of results and is not scalable ...
  • Launch vehicle navigation 
    Verma, Lavanya; Biswas, Sanat (Advisor) (IIIT-Delhi, 2022-05)
    This project aims to devise a concise methodology for onboard computation for trajectory planning in launch vehicles. Our methodology is primarily based on optimal control theory; the framework would apply to multiphase-phase ...
  • LDO with low quiescent current OTA and capacitance scaling circuit 
    Bhardwaj, Aman; Hashmi, Mohammad S. (Advisor) (IIIT-Delhi, 2021-12)
    The efficiency, dependability, and lifespan of any electronic system, particularly battery-powered and portable gadgets, are dependent on a specialized power management unit that offers a clean and controlled power supply. ...
  • Learning aided dynamic spectrum access in decentralized networks with unknown number of secondary users 
    Pani, Suman; Darak, Sumit Jagdish (Advisor) (2017-09-17)
    Opportunistic spectrum access (OSA) in a decentralized network is a challenging problem since each unlicensed user (i.e. cognitive radio (CR)) needs to characterize frequency bands as per the occupancy statistics of multiple ...
  • Learning algorithms for micro-doppler radar based detection, classification and imaging of humans in indoor environments 
    Vishwakarma, Shelly; Ram, Shobha Sundar (Advisor) (IIIT-Delhi, 2020-02)
    Indoor radars have been researched and developed to detect and monitor humans for applications that range from law enforcement, security and surveillance purposes to ubiquitous sensing applications such as smart home or ...
  • Learning algorithms for multi-tasks of unconstrained fingerprint recognition 
    Malhotra, Aakarsh; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2024-01)
    Attributed to extensive acceptance and research, lives can and inked fingerprints are successfully used for human recognition. However, applications such as contactless biometrics amidst the pandemic and crime scene ...
  • Learning algorithms for non intrusive load monitoring 
    Singh, Shikha; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2022-07)
    Non-Intrusive Load Monitoring (NILM), also known as Energy Disaggregation, is the process of segregating a building’s total electricity consumption into its appliances by appliance consumption from the smart meter data. ...
  • Learning content curation and enrichment 
    V, Venktesh; Mohania, Mukesh (Advisor); Goyal, Vikram (Advisor) (IIIT-Delhi, 2023-03)
    Education in traditional classroom settings was restricted to static content in textbooks. It also assumes all the learners have a similar pace of learning. Online learning platforms have shifted the paradigm and have made ...
  • Learning from high dimensional healthcare data to improve interpretability and insights 
    Jha, Indra Prakash; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2023-05)
    The escalating volume and intricate nature of healthcare and social care datasets necessitate the implementation of unconventional feature learning strategies to tackle current challenges. The examination of health and ...
  • Learning representations for matching fingerprint variants 
    Sankaran, Anush; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2017-02)
    Fingerprint recognition has evolved over the decades, providing innumerable applications for improving the modern day security. Based on the method of capture, fingerprints can be classified into four variants: inked, ...
  • Learning representations for molecular sequences 
    Kimothi, Dhananjay; Biyani, Pravesh (Advisor); Hogan, James M. (Advisor); Kelly, Wayne (Advisor) (IIIT-Delhi, 2021-10)
    Learning Representations for Molecular Sequences Sequence comparison is a vital step in bioinformatics tasks such as annotation of molecules, phylogeny construction, and sequence retrieval. Methods for sequence comparison ...
  • Learning speaker, emotion, age, and gender information through disentanglement of speech pre-trained representations 
    Koshal, Devyani; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2023-11-29)
    Forensic speech science, rooted in acoustics, plays a key role in legal investigations. Among its diverse applications, automatic speaker recognition (ASR) stands as a primary task within forensic speech analysis followed ...
  • Legal text processing 
    Wadhwa, Pritish; Satija, Gitansh Raj; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-07)
    Legal Domain has been explored by the scientific community only upto a limited extent. While there is some amount of research available in the United States of America, the amount of research in India in the same domain ...
  • Leveraging EMI signals for appliance detection and energy harvesting 
    Gulati, Manoj; Ram, Shobha Sundar (Advisor); Singh, Amarjeet (Advisor) (IIIT-Delhi, 2020)
    Electromagnetic interference (also known as EMI) is a byproduct of high-speed switching circuits used inside most of present-day electrical and electronic appliances. EMI propagates through conduction along the power lines ...
  • Leveraging machine learning in identification of biomarkers for cancer diagnosis and personalized therapy recommendation 
    Goswami, Chitrita; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2023-02)
    In an era where machine learning (ML) is changing the landscape of financial markets, education, security and privacy, the retail sector, and many other crucial aspects of human life, it is only fitting that we should use ...
  • Leveraging the external resources and meta-data to highlight the gap between a programs’s implementation and its documentation 
    Sondhi, Devika; Purandare, Rahul (Advisor) (IIIT- Delhi, 2021-06)
    With the ever-growing dependency on software, testing for their unexpected behavior is as important as verifying for their known properties, to avoid potential losses. Existing software testing approaches assume either ...
  • 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 ...

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