Computer Science and Engineering: Recent submissions

  • 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 ...
  • The road not taken : re-thinking the feasibility of voice calling over tor 
    Sharma, Piyush Kumar; Chaudhary, Shashwat; Hassija, Nikhil; Maity, Mukulika; Chakravarty, Sambuddho (IIIT-Delhi, 2019)
    Anonymous VoIP calls over the Internet holds great significance for privacy-conscious users, whistle-blowers and political activists alike. Prior research deems popular anonymization systems like Tor unsuitable for providing ...
  • Analyzing user discussion dynamics in social media platforms 
    Mukherjee, Arpan; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2018-06)
    Understanding how users behave when they connect to social networking sites creates opportunities for better interface design, more productive studies of social interactions, and improved design of content distribution ...
  • Content moderation across multiple platforms with capsule networks and co-training 
    Agarwal, Vani; Buduru, Arun Balaji (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2019-05)
    Social media systems provide a platform for users to freely express their thoughts and opinions. Although this property represents incredible and unique communication opportunities, it also brings along important challenges. ...
  • Detecting fake profiles on online Matrimony 
    Garg, Vaibhav; Kumaraguru, Ponnurangam (Advisor); Buduru, Arun Balaji (Advisor); Asthana, Siddhartha (Advisor) (IIIT-Delhi, 2019-05)
    In a diverse country like India, socio-economic factors like religion, caste, language, income along with other common physical, professional based factors, play a vital role while searching for a spouse. With the surge ...
  • Random forest of imputation trees (RITS) for sparse single cell genomics data 
    Sharma, Rachesh; Majumdar, Angshul (Advisor); Kumar, Vibhor (Advisor) (IIIT-Delhi, 2019-04)
    A human body has billions of cells specialized with their own function and each cell carries genome in its nucleus. The activity of the genome is controlled by a multitude of molecular complexes called as epigenome. Previously ...
  • Deep learning approach for face recognition with disguise variations 
    Chawla, Mohit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2019-07)
    With the increased interest in face recognition across di erent applications, the research in this area has ourished over the past few decades. However, face recognition with disguise variations has gained little ...
  • Venue discovery using supervised generative adversarial cross-modal hashing 
    Aggarwal, Himanshu; Shah, Rajiv Ratn (Advisor); NII, Yi Yu (Advisor) (IIIT-Delhi, 2019-07)
    With a massive amount of online multimedia data (e.g., images, videos, text articles, etc.) and increasing needs of the people, venue discovery using multimedia data has become an underlined research topic. We are referring ...
  • 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 ...
  • Information sharing in multi agent systems 
    Pai, Sharan; Sujit, PB (Advisor) (IIITD-Delhi, 2019-11)
    To investigate the effcacy of Information Sharing Schemes in Decentralized Multi-Agent Systems. We mainly focused on a Multi-Agent framework for Multi-Task Learning and then moved to Information sharing with Experience-based ...
  • Sentiment analysis of news and social-media for creating trading strategies 
    Kataria, Tushar; Agarwal, Vasu; Chakraborty, Tanmoy (Advisor) (IIITD-Delhi, 2018-11-26)
    The problem of stock market predictability has intrigued both academia and industry. In this thesis, we try to empirically predict the stock market using models from deep natural language processing. We review existing ...
  • Non-linear editing 
    Sheoran, Aashanvit; Chaudhary, Abhishek; Singh, Robin; Kumar, Yogesh; Khushalani, Manohar (Advisor) (IIITD-Delhi, 2018-07-07)
    There is a social dilemma in which men have been hurting women in ways which is not being taken care of. Therefore through this report, we will be shedding some light on different and fascinating ways like how and what ...
  • Universal face detection 
    Balasubramanian, Ajay; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (2019-01)
    Object Detection is a fundamental problem in Computer Vision. Face Detection is an important and intriguing type of object detection that is being extensively used in day-to-day activities like in video surveillance, online ...
  • Guillotine cuts & pattern avoidance in permutations 
    Jain, Siddhartha; Raman, Rajiv (Advisor); Ram, Samrith (Advisor) (IIITD-Delhi, 2019-04-15)
    Given a set of axis-parallel rectangles on a plane, can you cut out a constant fraction of them using only Guillotine cuts? We try to answer this question in the project. The general problem of cutting out convex sets was ...
  • Deep mean shift clustering 
    Madaan, Pulkit; Maiti, Abhishek; Anand, Saket (Advisor); Mittal, Sushil (Advisor) (IIITD-Delhi, 2019-04-15)
    We use Mean Shift clustering in the latent space of an auto-encoder to have a better representation of the data and a more structured latent space. Instead of just using the mode of the distribution calculated using kernel ...
  • Detection of content-level collusive activities in online social networks 
    Chetan, Aditya; Joshi, Brihi; Chakraborty, Tanmoy (Advisor) (IIITD-Delhi, 2019-04-15)
    Twitter, as a micro-blogging service has been increasingly used to express opinions, promote brands and share news. Often, the popularity of a tweet is denoted by how other users of the platform are reacting to it. Retweets ...
  • Machine learning in cancer genomics 
    Gupta, Taejas; Gupta, Anubha (Advisor) (IIITD-Delhi, 2019-04-28)
    Cancer is caused by an increased amount of cell growth in an area due to alterations in protein synthesis caused by mutations in certain genes known as cancer driver genes. Determining the gene regulatory network for the ...

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