PhD Theses: Recent submissions

  • User identity linkage : data collection, dataset biases, method, control and application 
    Kaushal, Rishabh; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2020-10)
    Online Social Networks (OSNs) have become popular platforms for online users. Users typically register and maintain their accounts (user identities) across different OSNs to share a variety of content and remain connected ...
  • Matrix completion techniques in bioinformatics 
    Mongia, Aanchal; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2020-09)
    Data analytics and computational techniques applied to biological sciences aid rapid technological advances, swift discoveries, and reliable analysis. A broad range of bountiful tools and algorithms have played pivotal ...
  • Rectilinear crossing number of uniform hypergraphs 
    Gangopadhyay, Rahul; Shannigrahi, Saswata (Advisor); Sharma, Anuradha (Advisor) (IIIT-Delhi, 2020-01)
    In this thesis, we study the d-dimensional rectilinear drawings of d-uniform hypergraphs in which each hyperedge contains exactly d vertices. A d-dimensional rectilinear drawing of a d-uniform hypergraph is a drawing of ...
  • Path planning algorithms for single and multiple mobile robot systems 
    Maini, Parikshit; Sujit, PB (Advisor) (IIIT-Delhi, 2020-09)
    Mobile robots have become ubiquitous today and are used widely in sensor networks. Their use in applications involving long-term operations, remote sensing and complex environments is a widely studied area of research due ...
  • Design, implementation and analysis of efficient hardware-based security primitives 
    N., Nalla Anandakumar; Sanadhya, Somitra Kumar (Advisor); Hashmi, Mohammad S. (Advisor) (IIIT-Delhi, 2019-09)
    Internet of Things (IoT) is a vast and rapidly growing technology right now in the world of innovation. Billions of new electronic devices are going to be connected to the internet in wide-ranging applications. With this ...
  • Deep transform learning 
    Maggu, Jyoti; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2019-12)
    Conventional dictionary learning is a synthesis formulation; it learns a dictionary to generate/synthesize the data from the learned coefficients. Transform learning is its analysis equivalent. The transform analyzes ...
  • Data-driven thermostats : for feedback, comfort, and reliability 
    Jain, Milan; Singh, Amarjeet (Advisor); Chandan, Vikas (Advisor) (IIIT-Delhi, 2019-03)
    In buildings, air conditioning consumes a significant proportion of the aggregate electricity bill. Specifically, in residential and small-scale commercial buildings, people prefer to use room-level ACs (AC stands for Air ...
  • Demand-side analytics for sustainable energy 
    Gaur, Megha; Majumdar, Angshul (Advisor) (IIITD-Delhi, 2019-10-01)
    The rapidly growing demand for energy poses one of the biggest challenges in our society. This challenge is critical not just for the power utilities but also for the environment as it leads to increased carbon footprint ...
  • PickMe : task allocation in mobile crowdsensing 
    Bajaj, Garvita; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2018)
    I am eternally grateful to a lot of people who, in no particular order, have helped me get through the tough times during the course of this dissertation. I have no words to thank my lovely parents who have always taught ...
  • Identifying and mitigating cross-platform phone number abuse on social channels 
    Gupta, Srishti; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2019-01)
    Online Social Networks (OSNs) have become a huge aspect of modern society. Social network usage is on a rise, with over 2 billion people using it across the globe, and the surge is only expected to increase. Online Social ...
  • Vision assisted guidance techniques for quadrotor landing 
    Gautam, Alvika; Sujit, PB (Advisor); Saripalli, Srikanth (Advisor) (IIIT-Delhi, 2019-05)
    Rotary vehicles like quadrotors, have become an essential part of many applications like mapping, object delivery, tracking, patrolling, and communication relay, etc. A key requirement for these applications is that the ...
  • Enforcing privacy for location based services 
    Saxena, Anuj Shanker; Goyal, Vikram (Advisor); Bera, Debajyoti (Advisor) (IIIT-Delhi, 2019-04)
    The ubiquity of mobile devices has led to the deployment of many mobile applications for providing different types of services, like internet access, route recommendation, cab finder, nearby friends, etc. Some of these ...
  • Understanding the role of active scans for their better utilization in large-scale wifi networks 
    Jaisinghani, Dheryta; Naik, Vinayak (Advisor); Kaul, Sanjit Krishnan (Advisor) (IIIT-Delhi, 2019-04)
    A WiFi client needs to discover access points (APs) in its vicinity before it can establish a WiFi connection and initiate a data transfer. Discovery is also essential for a client to stay connected to an AP deemed best ...
  • Detecting anomalous energy consumption in buildings using smart meter data 
    Lone, Haroon Rashid; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2018-12)
    Buildings consume 50% of the total available electrical energy. Studies show that up to 20% of the energy gets waste due to several reasons such as appliance misconfigurations, faults, and abnormal user behavior. The ...
  • Forensics enabled secure mobile computing system for enterprises 
    Govindaraj, Jayaprakash; Gupta, Gaurav (Advisor); Chang, Donghoon (Advisor) (IIIT-Delhi, 2018-05)
    The enterprises are facing constant security threats with the emergence of new mobile computing devices like smartphones, smartwatches, and wearables. The existing digital forensic enabled security solutions are not able ...
  • Indexing and query processing in RDF quad-stores 
    Leeka, Jyoti; Bedathur, Srikanta (Advisor) (IIIT-Delhi, 2017-12)
    RDF data management has received a lot of attention in the past decade due to the widespread growth of Semantic Web and Linked Open Data initiatives. RDF data is expressed in the form of triples (as Subject - Predicate - ...
  • Unraveling representations for face recognition : from handcrafted to deep learning 
    Goswami, Gaurav; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2018-11)
    Automatic face recognition in unconstrained environments is a popular and challenging research problem. With the improvements in recognition algorithms, focus has shifted from addressing various covariates individually to ...
  • Digital forensics 2.0: an automated, efficient, and privacy preserving digital forensic investigation framework 
    Verma, Robin; Gupta, Gaurav (Advisor); Chang, Donghoon (Advisor) (IIIT-Delhi, 2018-05)
    The current state of digital forensic investigation is continuously challenged by the rapid technological changes, the increase in the use of digital devices (both the heterogeneity and the count), and the sheer volume of ...
  • Code variants and their retrieval using knowledge discovery based approaches 
    Vinayakarao, Venkatesh; Purandare, Rahul (Advisor) (IIIT-Delhi, 2018-04)
    Code variants represent alternative implementations of a code snippet, where each alternative provides the same functionality, but has different properties that make some of them better suited to the overall project ...
  • Designing generic asymmetric key cryptosystem with message paddings 
    Bansal, Tarun Kumar; Chang, Donghoon (Advisor); Pieprzyk, Josef (Advisor); Sanadhya, Somitra Kumar (Advisor); Boyen, Xavier (Advisor) (IIIT-Delhi, 2017-10)
    RSA-OAEP is being used in PKCS #1 2.0 standard for a long time. OAEP (optimal asymmetric encryption padding) provides security strength to RSA and other deterministic one-way asymmetric primitives (trapdoor one-way ...

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