IIIT-Delhi Institutional Repository

Browsing PhD Theses by Title

Browsing PhD Theses by Title

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  • Advancing text summarization with conscience, comprehension, and multimodality 
    Kumar, Yash; Goyal, Vikram (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2024-01)
    Summarization, an essential technique for efficiently condensing extensive textual content into concise versions, has become increasingly valuable in the face of the information deluge characterizing the modern digital ...
  • Algorithms for spatial colocation pattern mining 
    Baride, Srikanth; Goyal, Vikram (Advisor) (IIIT-Delhi, 2023-12)
    Spatial data mining is a specialized field that focuses on extracting meaningful insights and patterns from geographical or spatial data. One particular area of interest in spatial data mining is colocation pattern mining. ...
  • Analysing long egocentric videos 
    Nagar, Pravin; Arora, Chetan (Advisor) (IIIT-Delhi, 2023-02)
    Egocentric videos are recorded in a hands-free, always-on, under enhanced privacy-sensitive scenario and are often collected from day to weeks. For efficient consumption, such videos require robust video analysis techniques ...
  • Analysis and optimization of streaming media QOE over QUIC enabled modern browsers over varied network bandwidth 
    Chaudhary, Sapna; Maity, Mukulika (Advisor); Chakraborty, Sandip (Advisor) (IIIT-Delhi, 2026-07)
    Today, global Internet traffic is dominated by video streaming, prompting service providers to adopt emerging technologies that enhance users’ Quality of Experience (QoE) while sustaining operational efficiency. In this ...
  • Analysis of block cipher constructions against biclique and multiset attacks 
    Ghosh, Mohona; Sanadhya, Somitra Kumar (Advisor); Chang, Donghoon (Advisor) (2016-04-18)
    Cryptographic protocols have been a cornerstone of secure communications among armed forces and diplomatic missions since time immemorial. With easy availability and low cost of computing facilities and Internet, the domain ...
  • Authenticated encryption for memory constrained devices 
    Agrawal, Megha; Chang, Donghoon (Advisor); Sanadhya, Somitra Kumar (Advisor) (IIIT-Delhi, 2020-09)
    It is common knowledge that encryption is a useful tool for providing confidentiality. Authentication, however, is often overlooked. Authentication provides data integrity; it helps ensure that any tampering with or ...
  • Automated methods for identity resolution across online social networks 
    Jain, Paridhi; Kumaraguru, Ponnurangam (Advisor) (2016-04-28)
    Today, more than two hundred Online Social Networks (OSNs) exist where each OSN extends to offer distinct services to its users such as eased access to news or better business opportunities. To enjoy each distinct service, ...
  • Automated multi-step fact-checking on social media through claim detection, simplification, and verification 
    Sundriyal, Megha; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2025-08)
    The spread of misinformation on social media platforms endangers public discourse and societal trust. Addressing this issue requires robust mechanisms for identifying and verifying the accuracy of information circulated ...
  • Behavior as a modality: a framework to enable automated persuasion 
    Kumar, Yaman; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2025-07)
    Communication, as a system of messages, symbols, and cultural exchanges, is ubiquitous across all species. Scholars have argued that communication represents one of the most transformative evolutionary transitions in life’s ...
  • Bridging the gap: developing robust and ethical AI systems 
    Chhabra, Saheb; Vatsa, Mayank (Advisor); Singh, Richa (Advisor); Gupta, Gaurav (Advisor) (IIIT-Delhi, 2025-02)
    Machine learning and deep learning algorithms have demonstrated exceptional performance across various computer vision tasks, including face detection, attribute prediction, object detection, image segmentation, and ...
  • Building efficient mobile systems and applications for supporting information exchange in resource limited settings 
    Asthana, Siddhartha; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2017-01)
    Enabling support for information exchange has a great impact on the development of different sections of the society. Mobile phones using telecommunication services have enabled such support in several scenarios including ...
  • Building performant, privacy-enhancing, and blocking-resistant communication systems 
    Kumar, Piyush; Chakravarty, Sambuddho (Advisor); Maity, Mukulika (Advisor) (IIIT- Delhi, 2021-08)
    Free and open communication over the Internet is essential for the overall advancement of modern societies. However, there are numerous ways with which malevolent adversaries try to control the flow of information, by ...
  • 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 ...
  • Content quality in web 2.0 services : analysis, detection, systems and enhancement 
    Correa, Denzil; Sureka, Ashish (Advisor) (2014-12-24)
    There has been a proliferation of Web 2.0 sites on the Internet. Contemporary Web 2.0 sites like Facebook and Twitter are primarily driven by user generated content (UGC). On the other hand, the volume of content by such ...
  • Data constrained deep learning 
    Keshari, Rohit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2024-03)
    Deep Neural Networks (DNNs) have achieved remarkable success across various machine learning and computer vision tasks, especially when abundant training samples are available. In Convolutional Neural Network (CNN) research, ...
  • A data-centric lens for representation learning in graphs via semantic and structural enhancement 
    Goyal, Karan; Goyal, Vikram (Advisor); Mohania, Mukesh (Advisor) (IIIT-Delhi, 2026-07-17)
    While progress in graph representation learning has often been model-centric: focusing on the design of more powerful architectures, this thesis presents a data-centric lens: a framework viewing the graph not as a static ...
  • Data-driven detection and isolation of wear-induced faults in industrial robot 
    V, Sathish; Butail, Sachit (Advisor); Orkisz, Michal (Advisor) (IIIT-Delhi, 2021-02)
    Industrial robots are complex systems that require technical expertise for condition monitoring and diagnostics. In small and medium scale industries, adequate skilled resources may not be available to monitor the robots ...
  • 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 ...
  • Decoding the DNA of code: an AI-infused approach to detect code cloning in software systems 
    Mehrotra, Nikita; Purandare, Rahul (Advisor) (IIIT-Delhi, 2024-06)
    Code clones, duplicate code fragments sharing similar syntax or semantics, have become increasingly prevalent due to the success of software management tools like GitHub and advancements in Open Source Software (OSS). ...
  • Deep clustering 
    Goel, Anurag; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2023-11)
    The traditional way of clustering is first extracting the feature vectors according to domain-specific knowledge and then employing a clustering algorithm on the extracted features. Deep learning approaches attempt to ...

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