DSpace at IIIT-Delhi: Recent submissions

  • 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 ...
  • Designing impedance matching networks for RF and microwave devices and applications 
    Singh, Vikas Vikram; Hashmi, Mohammad S. (Advisor) (IIIT-Delhi, 2020-04)
  • 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 ...
  • 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 ...
  • 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 ...
  • Estimation and concealment of forensic multimedia signatures 
    Mehrish, Ambuj; Subramanyam, A V (Advisor) (IIIT-Delhi, 2019-12)
    The remarkable evolution of digital imaging techniques, processing and sharing in the past decades has spurred the penetration of multimedia into our lives. Unaccountable and ubiquitous use of multimedia brings severe ...
  • 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 ...
  • EATM 
    Pruthi, Parikshit Kumar; Girsa, Rajan; Butta, Shubhankar R.; Biyani, Pravesh (Advisor) (IIITD-Delhi, 2019-11)
    EATM is an automated vending machine that uses several machine learning and computer vision techniques for object detection. It is a similar model to Amazon Go and uses mainly camera and RF system for object detection. ...
  • 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 ...
  • Traffc analysis through GPS data 
    Kumar, Avdesh; Balodi, Saumya; Biyani, Pravesh (Advisor) (IIITD-Delhi, 2019-07-01)
    Public transport is one of the major forms of transportation in the world. This makes it vital to ensure that public transport is efficient. The paper presents an approach to reduce the waiting time of Delhi buses by ...
  • 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 ...
  • Post disaster wireless communication 
    Kumar, Rajesh; Sujit, PB (Advisor) (IIITD-Delhi, 2019-11-26)
    We had seen many natural and human-made disasters like Tsunami In Chennai in December 2015 and cyclone storm ‘Hudhud’ in 2014 in North Indian Ocean. Which caused substantial damage to cellular network infrastructure and ...
  • 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 ...

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