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  • Jivika App 
    Giri, Sushil Kumar; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-11-29)
    Critical health parameters such as SpO2 and Blood Pressure play a massive role in determining a person’s health condition, and hence their tracking and monitoring are essential. Currently, the problem with health monitoring ...
  • Joint graph learning and prediction 
    Akhtar, Mohammad Hamzah; Sheoran, Shikhar; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2021-12)
    Estimating the structure of directed acyclic graphs (DAGs, also known as Bayesian networks) is a challenging problem since the search space of DAGs is combinatorial and scales super exponentially with the number of nodes. ...
  • K-center problems 
    Ahuja, Yajur; Das, Syamantak (Advisor) (IIIT-DElhi, 2020-06-03)
    We consider a generalization of the classical K-center problem with capacities, demands, and outliers. The capacitated K-center problem adds a constraint to the original K-center problem of every vertex having a capacity ...
  • KG quality metrics 
    Sharma, Pranav; Mutharaju, Vijaya Raghava (Advisor); Mukherjee, Manuj (Advisor) (IIIT-Delhi, 2023-11-27)
    In the burgeoning field of knowledge representation, the construction and maintenance of highquality knowledge graphs (KG’s) play a pivotal role in ensuring the accuracy and reliability of information. This research endeavors ...
  • Khanan : performance comparison and programming alpha algorithm in column-oriented and relational database query languages 
    Sachdev, Astha; Sureka, Ashish (Advisor) (2015-02-16)
    Process mining consists of mining business process event-logs for discovering run-time process models, process compliance verifi cation and extracting useful insights on process e efficiency. Process model discovery from ...
  • #KillFie: understanding dangerous selfi es 
    Nanda, Vedant; Kumaraguru, Ponnurangam (Advisor) (IIITD-Delhi, 2018-04-18)
    Sel es have become a prominent medium for self-portrayal on social media. Unfortunately, certain social media users go to extreme lengths to click selfies , which puts their lives at risk. Two hundred and thirty-two ...
  • KinshipGAN : generating kin images 
    Sinha, Raunak; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIITD-Delhi, 2019-04-29)
    Automatic kinship verifi cation using face images involves analyzing features and computing similarities between two input images to establish kin-relationship. It has gained signi cant interest from the research community ...
  • KIRKE re-engineering of web applications to mobile apps 
    Mehra, Rohit; Naik, Vinayak (Advisor) (2015-12-03)
    A large number of web applications are written using server-side scripting languages. Although web browsers allow clients to run these applications, it is often cumbersome to depend on the desktops for the services ...
  • Knowledge graph assisted extreme summarization of scientific documents in hyperbolic space 
    Mukherjee, Asmita; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-12)
    A research paper is a document that presents an original work and introduces new concepts and makes interconnections between them via arguments and statements. Extreme Summarization involves high compression of the information ...
  • Knowledge graph construction from text 
    Saini, Vipul; Mutharaju, Vijaya Raghava (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2020-06-05)
    Knowledge graphs have become quite popular and their utility is increasing at a very fast rate. There exist numerous extensive knowledge graphs that contain information on a plethora of topics. With new information ...
  • Knowledge graphs In medical domain 
    Anand, Gyanesh; Shah, Rajiv Ratn (Advisor); Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2020-05-31)
    With the explosion of healthcare information, there has been a tremendous amount of heterogeneous Textual Medical Knowledge(TMK), which plays an essential role in healthcare information systems. Existing works for integrating ...
  • 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 ...

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