IIIT-Delhi Institutional Repository

Browsing Year-2022 by Issue Date

Browsing Year-2022 by Issue Date

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  • Cognitive inferencing using MEG brain data analysis 
    Tanwar, Tanmay Prashansa; Gupta, Anubha (Advisor) (IIIT-Delhi, 2021-05)
    Working Memory is the small amount of information that is stored in the brain long enough for humans to use it. It is important in many cognitive functions and aids in problem solving. The Working memory task performance ...
  • Amoeba : high performance and energy efficient community detection using multicore processors 
    Saini, Hardik; Kumar, Vivek (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-05)
    Detecting an accurate community structure is a central problem in network analysis. With the popularity of social networking sites, a community detection algorithm's performance and energy efficiency are equally vital for ...
  • Joint graph learning and prediction 
    Akhtar, Mohammad Hamzah; Sheoran, Shikhar; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2021-12)
    Estimating the structure of directed acyclic graphs (DAGs, also known as Bayesian networks) is a challenging problem since the search space of DAGs is combinatorial and scales super exponentially with the number of nodes. ...
  • Digital solution to predict and relieve stress 
    Jain, Ananya; Natarajan, Kirthana; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2022-05)
    Stress is the physical and psychological reaction to situations or demands. It is a natural and inevitable part of life. However, experiencing consistent stress over long periods of time can be harmful for health and may ...
  • Developing a load balancing runtime for running a community detection algorithm over CUDA supported GPUs 
    Bains, Agamdeep; Singh, Aniansh Raj; Kumar, Vivek (Advisor) (IIIT-Delhi, 2022-05)
    We started the project by trying to implement a community detection algorithm (Permanence Maximization) [2] on Nvidia CUDA capable GPUs. From our initial implementation, we realized that irregular computations such as graph ...
  • Remedium - a platform to connect doctors, insurance and patients 
    Sharma, Utkarsh; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2022-05)
    We propose a platform that connects Doctors, Insurance and Patients and in doing so provides them value that won’t be possible otherwise. We use the platform to store the longitudinal health record of the patient (with ...
  • Analysis of online mental health counselling conversations 
    Gupta, Tanya; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2022-05)
    Social media websites like Twitter and Reddit have gradually emerged as platforms for seek- ing help when it comes to a spectrum of mental disorders from depression, ADHD and bipolar disorder to drug addiction. This form ...
  • Fine-grained unsupervised tracklet matching 
    Arora, Ansh; Subramanyam, A V (Advisor) (IIIT-Delhi, 2022-05)
    Re-identification offers a useful tool for non-invasive biometric validation, surveillance, and human-robot interaction in a broad range of applications from crowd traffic management to personalised healthcare. Given the ...
  • Collab VR 
    Panchal, Dushyant; Kapur, Ishan; Parnami, Aman (Advisor) (IIIT-Delhi, 2022-05)
    Virtual 3D immersive collaborative systems for remote collaboration are on the rise due to the tough times of COVID 19, where people are forced to work remotely. However, it is a cumbersome task to explore and figure out ...
  • Web development for different interesting systems 
    Shokeen, Rasagya; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-05)
    My B.Tech project is based on Web development, wherein I was supposed to build a website and deploy an NLP model to implement text processing and generate reports based on the interpretation of the processed text. The ...
  • Question answering over healthcare knowledge graph 
    Anand, Anuneet; Gupta, Isha; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2022-05)
    In recent years, there has been a growing interest in digitising health records and healthcare data so that sophisticated systems can be built for faster retrieval, processing and analysis of data. One such type of system ...
  • Public wisdom matters! discourse-aware hyperbolic fourier co-attention for social-text classification 
    Grover, Karish; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-05)
    Social media has become the fulcrum of all forms of communication. Classifying social texts such as fake news, rumour, sarcasm, etc. has gained significant attention. The surface-level signals expressed by a social-text ...
  • Implicit and explicit hate speech detection 
    Aggarwal, Yash; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-05)
    With an increasing amount of hate on online social media platforms, automatic detection of toxic language plays a protecting role for online users and content moderators. Hence, it be- comes important to ensure that these ...
  • Survival prediction and staging on MM EHR 
    Das, Soham; Gupta, Anubha (Advisor) (IIIT-Delhi, 2022-05)
    AI methods for survival analysis and risk staging has been a prevalent topic of research, and many models for both tasks have been introduced into the healthcare industry. Many deep learning methods for calculating hazards, ...
  • Satellite selection, satellite orbit interpolation and prediction for GNSS based positioning 
    Agrawal, Archit; Biswas, Sanat (Advisor) (IIIT-Delhi, 2022-05)
    Modern infrastructure and a myriad of services rely on the ability to generate precise position using GPS. Although, generating precise position using GPS is a complex multi step process involving selecting satellites, ...
  • Development of a stream reasoning benchmark (engineering track) 
    Arora, Udit; Kumar, Shashikant; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2022-05)
    The emergence of stream reasoning accompanies the expansion of the semantic web. A stream is data that is continuously being generated from various sources, such as the stock markets and social networks. The growing number ...
  • Low resource language processing 
    Kumar, Tanya Sanjay; Shah, Rajiv Ratn (Advisor); K, Sarveswaran (Advisor) (IIIT-Delhi, 2022-05)
    Natural Language Processing has been one of the most important domain in computer linguistics in today’s world. Though there are various efficiently performing tools and models for various NLP subtasks for English, Indic ...
  • Prediction of bacterial hosts of bacteriophages 
    Aggarwal, Suchet; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-05)
    The growth of metagenomics has accelerated the discovery of new organisms. One such class of organism is viruses that infect bacteria called bacteriophages (or simply phages). The therapeutic use of phages to cure bacterial ...
  • Artificial intelligence in proctoring systems 
    Mahant, Ayush; Gupta, Harshita; Jha, Shruti; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-05)
    Since the COVID-19 breakout which made remote education necessary, online courses and other virtual learning platforms have increased in popularity and reach. However with the increase in demand for remote learning, another ...
  • Edge computing for traffic surveillance 
    Shukla, Paritosh; Makkar, Rohit; Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2022-05)
    With increase in urbanization, there’s a need for better transportation systems, in terms of their efficiency. To do this, an important technique is to use the running of computer vision algorithms for identifying obstructions ...

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