DSpace at IIIT-Delhi: Recent submissions

  • Efficient post-silicon debug platforms for future many-core systems 
    Rout, Sidhartha Sankar; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-06)
    As the computation is moving towards the exascale era, more and more number of processing cores of heterogeneous natures are getting embedded in a System-on-Chip (SoC). The growing demands for high-performance and increased ...
  • Feature engineering for low dimensional representation of genes’ expression and pathological activities across diverse human tissues 
    Rai, Priyadarshini; Sengupta, Debarka (Advisor); Majumdar, Angshul (Advisor) (IIIT-Delhi, 2022-10)
    The advent of tissue and single cell based transcriptomic profiling technologies has allowed precise characterization of tissue specific gene activities in the context of development and disease. Human cells express about ...
  • Structural brain correlates of autism spectrum disorder and its co-morbid depression 
    Saraf, Chetan; Sehwag, Saanvi; Dhar, Dolcy; Chakrabarty, Mrinmoy (Advisor) (IIIT-Delhi, 2023)
    • Autism Spectrum Disorder (ASD) impacts multiple areas of cognitive development leading to atypical behavioral manifestations in these individuals. • This study focuses on regional differences in grey matter volume ...
  • Brain structure & behavioral correlates of anxiety in affect-driven modulation of attention and decision making 
    Dhar, Dolcy; Gupta, Prakrati; Singh, Varsha; Chakrabarty, Mrinmoy (Advisor) (IIIT-Delhi and IIT Delhi, 2023)
    • Visuospatial attention is crucial to navigate and reach optimal decisions in daily environments, which are also replete in salient affective information. • As internal state, e.g., anxiety significantly shapes cognitive ...
  • Functional brain correlates of cognitive-behavioural manifestations in autism spectrum disorder 
    K, Achyuthanand; Kinger, Shruti; Chakrabarty, Mrinmoy (Advisor) (IIIT-Delhi, 2023)
    Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder affecting multiple cognitive domains, thereby resulting in aberrant cognition. The resulting atypical behaviour manifests as varying degrees of clinical ...
  • Designing and analyzing low-complexity energy-efficient visible light communication systems for IoT and UAV applications 
    Anwar, Dil Nashin; Srivastava, Anand (Advisor) (IIIT-Delhi, 2023-06)
    IoT interconnect everyday objects via the internet, enabling them to send and receive data by transceivers embedded in it. The number of IoT devices is estimated to reach billions, contributing to half of the global connected ...
  • Menstrupal : a smart sensor to monitor menstrual rhythm 
    Mukherjee, Manideepa; Parnami, Aman (Advisor) (IIIT-Delhi, 2023-03)
    Ubiquitous health monitoring systems are gaining a lot of interest due to their potential to provide continuous, real-time information via non-invasive measurements of physiological parameters. Menstruation is a periodic ...
  • Fake news detection using repositories 
    Gupta, Gavish; Singh, Shrey Kumar; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-05)
    A rapid growth in the amount of fake news on social media is a very serious concern in our society. Fake news are usually created by making changes to text, images, audio, and videos. To bust these fake news, there are ...
  • A structured platform for air quality data 
    Ahmad, Saad; Attri, Sudhir; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2022-05)
    Knowledge graphs as a form of data representation have been successfully applied for various applications. They are known to capture the structural complexity and semantic relationships of data. Our goal is to develop an ...
  • Quantum control theory 
    Chhillar, Jayant; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2022)
    This report presents a literature review survey about the field of Quantum Control Theory and its applications. Concepts of control followed in classical control (including open-loop control and closed loop control) are ...
  • An extensive study on state-of-the-art c decompilers 
    Singh, Sejal; Purandare, Rahul (Advisor); Jain, Ridhi (Advisor) (IIIT-Delhi, 2021-06)
    C decompilers are often chosen by the developers when they do not have the source code available in order to either debug or understand the code. Previous studies suggest that the C decompilers are not correct; however, ...
  • Classification of agonist and antagonist using machine learning 
    Aggarwal, Bhavay; Ray, Arjun (Advisor) (IIIT-Delhi, 2021-05)
    Proteins are essential for carrying out the activities our cells perform. Agonist and Antagonist molecules are essential in dictating cell activities and hence the Identi cation of the action of such complexes will help ...
  • Mapping the maze : a study of internet shutdowns across the world 
    Malik, Ritik; Chakravarty, Sambuddho (Advisor); Khan, Aasim (Advisor) (IIIT-Delhi, 2021-06)
    The government regimes have frequently used internet shutdowns to curb the freedom of expression and devoice people worldwide. There could be other unintentional reasons, like power failure, device rupture, regional outages, ...
  • Analysis for RNA based liquid biopsy for various cancers 
    Dabas, Vikash; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-05)
    Due to the advent of next-generation sequencing techniques, the sequencing cost is reduced with increasing accuracy. We can use this as an advantage in liquid biopsy to identify and monitor cancer at different stages, which ...
  • Network biology of inflammatory bowel diseases 
    Dhyani, Tushar; Bagler, Ganesh (Advisor); Ray, Arjun (Advisor) (IIIT-Delhi, 2021-08)
    Inflammatory bowel disease (IBD) is a general term for chronic conditions caused by inflammation of the gastrointestinal tract. IBD is classified mainly into two forms namely; Crohn’s disease (CD) and Ulcerative colitis ...
  • Manual curation of virus based vaccines and prediction of B-cell epitopes using machine learning technique 
    Tripathi, Sadhana; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-06)
    Unprecedented rise of newly emerging and re-emerging cases of infectious viral diseases have threatened humanity throughout. Vaccines stand as the safest and effective way to manage scale and spread of infectious diseases. ...
  • A study of meta-learning and transfer learning approaches for clustering of single cell data 
    Munjal, Rishab; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2022-05)
    Single cell RNA-seq data is an important source for profiling cellular heterogeneity. Clustering is an important step in any single cell pipeline because it allows us to discover unknown cell types.Furthermore,it is possible ...
  • Estimating genetic selection with unified approach and studying its effect on human phenome 
    Lakra, Nikhil Mark; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2021-12)
    Natural selection is a mechanism of evolution, and genetic mutations form the basis of this evolutionary mechanism. With humans migrating out of Africa and inhabiting different parts of the earth, different populations ...
  • Protein-based in silico models to predict infectious strains of Influenza A 
    Roy, Trinita; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022-05)
    Influenza A, an infectious viral disease affecting the lungs, is a significant public health concern. It has already caused four pandemics in the past, and some strains are now seasonal. Being zoonotic, the virus is ...
  • AI based prediction of HLA-DRB1*04:01 binder for designing subunit vaccines 
    Patiyal, Sumeet; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2022)
    HLA gene complex is a highly polymorphic region in the human genome and mutations associated with these regions can lead to many deadly disorders such as bare lymphocyte syndrome, whereas presence of few HLA-class II alleles ...

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