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  • On the implementation of internet censorship in India 
    Singh, Kartikey; Chakravarty, Sambuddho (Advisor) (IIIT-Delhi, 2022-07)
    In this work we highlight the evolution of Internet censorship within the largest democracy i.e., India. We first report a new form of Internet censorship i.e., mobile app blocking and describe in detail the mechanics ...
  • On the secure design of multi-biometric template protection approaches for biometric authentication 
    Garg, Surabhi; Chang, Donghoon (Advisor) (IIIT-Delhi, 2021-06)
    The biometric systems are widely deployed in various sectors for authentication purposes– India’s Aadhaar project (a multi-biometric database of above 1.3 billion of India’s population) being the prominent example. The ...
  • On the statistical characterization of the binomial line processes 
    Sanyal, Souradip; Ghatak, Gourab (Advisor) (IIIT-Delhi, 2021-12)
    This thesis introduces the Binomial Line Process (BLP) and then Binomial Line Cox Process (BLCP) based on BLP, a novel spatial stochastic model for the charac- terization of streets in the statistical evaluation of wireless ...
  • One IRD : workflow system for automation of IIIT Delhi-IRD processes 
    Dhankar, Hemant; Jaiswal, Nitesh; Saxena, Vaibhav; Mohania, Mukesh (Advisor) (IIIT-Delhi, 2022-05)
    Workflows are part of our daily life. Every process has a workflow. By automating these workflows and making them digital results in time saving, less human resource cost and error free data. IRD at IIITD has various ...
  • Online algorithms : the online job assignment problem and its variants 
    Ramanathan, Varun; Raman, Rajiv (Advisor) (IIIT-Delhi, 2020-06-01)
    Traditionally, algorithms try to find the optimal solution for a problem in a “three-phase” approach: fetch the input, run the algorithm, output the solution. But recently, there has been an interest in understanding ...
  • Online bipartite matching 
    Aggarwal, Aayush; Das, Syamantak (Advisor) (IIIT Delhi, 2020-06-06)
    We are given a bipartite graph G(R, S, E) (|R| = |S|), where R denotes the set of requests and S being the set of servers. The requests R (given by an adversary) arrive sequentially along with their distances to each of ...
  • Online federation learning 
    Karwasara, Lakshya; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2023-11-29)
    Federated learning (FL) is a popular framework for training a model in a distributed setting, where the data is spread over a network of devices. In traditional FL, the devices communicate with a central server to share ...
  • Online gaming and masculinity among young adults 
    Garg, Aditya; Kumar, Jatin; Singh, Smriti (Advisor) (IIIT-Delhi, 2023-11-29)
    Online gaming has transcended its status as a recreational activity to become a pervasive cultural force in recent decades, attracting the attention of scholars who have meticulously examined its qualitative and quantitative ...
  • Online list update problem 
    Arora, Shivoy; Das, Syamantak (Advisor) (IIIT-Delhi, 2023-11-29)
    This thesis explores the dynamics of online algorithms, with a focus on the List Update Problem in online optimization. Our study revolves around the analysis of various algorithmic strategies, under the frameworks of ...
  • Online metric matching in euclidean norm 
    Marwah, Ishaan; Seth, Ritesh; Das, Syamantak (Advisor) (IIIT-Delhi, 2023-11-29)
    This report addresses the problem of online metric matching. In this scenario, a group of servers is situated within a metric space, and requests continuously arrive over time in an unpredictable manner. The objective is ...
  • Online schooling during covid-19 era 
    Walia, Angel; Eden, Grace (Advisor) (2020-12)
  • An ontology design pattern recommendation system 
    Yasvi, Maleeha Arif; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2020-07)
    Ontologies evolve over time due to changes in the domain and the requirements of the application. Maintaining an ontology over time and keeping it up-to-date with respect to the changes in the domain and the requirements ...
  • Ontology learning from text 
    Sachdeva, Nikhil; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2020-06-08)
    Ontology Learning is the semi-automatic and automatic extraction of ontology from a natural language text, using text-mining and information extraction. Each ontology primarily represents some concepts and their corresponding ...
  • Ontology-based personalized recommendation system 
    Gupta, Akanksha; Mallik, Anupama (Advisor) (2015-12-02)
    Past decade has seen a prominent rise in the number of e-commerce applications in the World Wide Web. Designing recommendation algorithms for predicting user interests is quite challenging for such systems. Several ...
  • Open source social media as sensors for enabling government identification, prediction and response applications 
    Agarwal, Swati; Sureka, Ashish (Advisor); Goyal, Vikram (Advisor) (IIIT-Delhi, 2017-06)
    Online Social media platforms such as Tumblr, Twitter (micro-blogging website) and YouTube (video sharing website) contains information which is publicly available or open-source. Open source social media intelligence ...
  • Openlane RTL-to-GDSII (R2G2) flow for home-grown soc 
    Malhotra, Ishan; Grover, Sarthak; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-11-29)
    Applying the OpenROAD toolchain to a Cortex-M0-based System on Chip (SoC) is the first step in this ground-breaking project's RTL-to-GDSII (R2G2) pipeline. The OpenROAD toolchain and scripts must be carefully modified and ...
  • Operationalizing the data quality framework : tindering datasets 
    Chug, Sezal; Kaushal, Priya; Kumaraguru, Ponnurangam (Advisor); Sethi, Tavpritesh (Advisor) (IIIT- Delhi, 2021-05)
    Data is expanding at an unimaginable rate, and with this development comes the responsibility of the quality of data. Data Quality refers to the relevance of the information present and helps in various operations like ...
  • Optical character recognition tool 
    Mithal, Aditi; Kumaraguru, Ponnurangam (Advisor) (2017-04-18)
    A tremendous amount of impact is generated through the images on social media as they account for more than 60% of the content available online. Understanding the textual content of the image is therefore significant for ...
  • Optimal inference algorithms for higher order MRF-MAP problems 
    Ishant; Arora, Chetan (Advisor) (IIIT-Delhi, 2020-08-13)
    Many computer vision problems can be formulated as finding the best labeling configuration. If labelings satisfy Markov property then finding best labeling configuration becomes MRF (Markov Random Field)- MAP (Maximum A ...
  • Optimisation of tail latency in Edge computing 
    Pal, Utkarsh; Kumar, Aman; Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2023-05-10)
    Edge computing has emerged as a promising paradigm for meeting the requirements of resourceintensive applications by processing data at the network edge. The aim of our project is to optimise the end to end tail latency ...

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