DSpace at IIIT-Delhi: Recent submissions

  • Decoding the molecular basis of iterative stress response (ISR) 
    Aggarwal, Anmol; Ahuja, Gaurav (Advisor) (IIIT-Delhi, 2023-09)
    Across evolutionary history, every organism has developed the ability to adapt to fluctuations in environmental conditions, thereby striking a balance between efficient growth and survival. In the case of yeast, when exposed ...
  • Meta-analytic investigation of gut microbial community structure identifies a panel of stability-promoting microbiome members consistently reduced with gut inflammation 
    Samal, Amit; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-08)
    Inflammatory Bowel Diseases (IBD), encompassing Crohn’s Disease (CD) and Intestinal Tuberculosis (ITB), present similar clinical symptoms but require distinct treatment strategies. This study investigates microbiome and ...
  • Development of in silico models for predicting Alzheimer’s disease from single cell genomics 
    Srivastava, Aman; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2023-02)
    Alzheimer’s disease is progressing as the most prevalent neurological disorder world- wide. It is the most common cause of dementia in ageing society. An artificial Neural Network (ANN) is a set of neural networks which ...
  • Assessment of data-driven and deterministic approaches for predicting bace-1 inhibitor binding affinities 
    S, Amaithi Priya; Murugan, N Arul (Advisor) (IIIT-Delhi, 2022-06)
    BACE1 (beta-site amyloid precursor protein cleaving enzyme 1) is an aspartyl protease with a transmembrane domain that cleaves at the 671st position of amyloid precursor protein (APP) at the beta site. The production and ...
  • Co-speech gesture generation for a hindi conversing virtual agent/robot 
    Khan, Ruhma Mehek; Gupta, Ria; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2021-03-17)
    Humans make use of gestures while interacting to enhance the effectiveness of their communication. With the increasing use of humanoid robots and virtual agents, researchers have been trying to make the robots more human-like, ...
  • Co-speech gesture generation for a conversing virtual agent 
    Khan, Ruhma Mehek; Gupta, Ria; Shukla, Jainendra (Advisor); Bera, Aniket (Advisor) (IIIT-Delhi, 2021-12-14)
    Humans make use of gestures while interacting to enhance the effectiveness of their communication. With the increasing use of virtual agents and humanoid robots, researchers have been trying to make the virtual agents more ...
  • Artificial intelligence based models for predicting head and neck cancer from genomics data of single cells 
    Jarwal, Akanksha; Raghava, Gajendra Pal Singh (Advisor) (IIIT-Delhi, 2023-02)
    Head and Neck Squamous Cell Carcinoma (HNSC) or Head and Neck Cancer is the sixth most highly prevalent cancer type worldwide. Early detection of HNSC is one of the important challenges in managing the treatment of cancer ...
  • Power estimation of in-memory compute based memory arrays using simulink blocks 
    Mohd, Aamir; Grover, Anuj (Advisor) (IIIT-Delhi, 2022-10)
    System-on-Chip (SoC) incorporates all the components of any system onto a single integrated circuit. Their compact, power-efficient architecture allows them to be used in various applications like automotive, consumer ...
  • Algorithms for spatial colocation pattern mining 
    Baride, Srikanth; Goyal, Vikram (Advisor) (IIIT-Delhi, 2023-12)
    Spatial data mining is a specialized field that focuses on extracting meaningful insights and patterns from geographical or spatial data. One particular area of interest in spatial data mining is colocation pattern mining. ...
  • Deep clustering 
    Goel, Anurag; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2023-11)
    The traditional way of clustering is first extracting the feature vectors according to domain-specific knowledge and then employing a clustering algorithm on the extracted features. Deep learning approaches attempt to ...
  • Spatio temporal signal processing harnessing public transit for effective spatiotemporal 
    Charul; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2023-09)
    Public transportation can be a potential source of generating a tremendous amount of data as a part of its daily operation. GPS (Global Positioning System) installed system can be used to track the position of buses and ...
  • Generative and adversarial learning for object recognition 
    Verma, Astha; Subramanyam, A V (Advisor); Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-09)
    Generative modeling and adversarial learning have significantly advanced the field of computer vision, particularly in object recognition and synthesis, unsupervised domain adaptation, and adversarial attacks and defenses. ...
  • Modeling the circadian dynamics of morning and evening oscillators and the role of circadian rhythm in learning and memory 
    S, Shiju; K, Sriram (Advisor) (IIIT-Delhi, 2019-07)
    Circadian rhythms (CR) are 24h endogenous oscillations seen in all organisms that control different biological processes including sleep-wake cycles, body temperature, cell division cycle, heartbeat, and metabolic rates. ...
  • On heterogeneous face recognition 
    Ghosh, Soumyadeep; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2023-03)
    Face recognition under controlled and constrained scenarios have reached a significant level of maturity with respect to performance and reliability. However, under unconstrained and un controlled settings, current ...
  • Information fusion using convolutional transform learning 
    Gupta, Pooja; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2023-09)
    There are many real-world problems pertaining to the need for the fusion of information from multiple sources. Consider, for example, the problem of demand forecasting that requires estimating the power consumption at a ...
  • A study on smooth activation functions 
    Biswas, Koushik; Pandey, Ashish Kumar (Advisor); Banerjee, Shilpak (Advisor) (IIIT-Delhi, 2023-07)
    Artificial neural networks (ANNs) have occupied the centre stage in deep learning. An activation function is a crucial component in the neural network, which introduces the non-linearity in the network. An activation ...
  • Finding unique pattern in transcriptome and epigenome of cancer cells 
    Mathur, Arpit; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-12)
    Studying Chromatin Architecture is paramount to an understanding of cells or nuclei in disease and normal state. With recent advances in genomic technologies and computational power, new domains like Topologically associated ...
  • Learning content curation and enrichment 
    V, Venktesh; Mohania, Mukesh (Advisor); Goyal, Vikram (Advisor) (IIIT-Delhi, 2023-03)
    Education in traditional classroom settings was restricted to static content in textbooks. It also assumes all the learners have a similar pace of learning. Online learning platforms have shifted the paradigm and have made ...
  • Advancing graph-based computational approaches to decipher omic signature of diseases 
    Mishra, Shreya; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2022-10-31)
    Omic signatures of disease are important for personalized treatment because of theheterogeneity of diseases. Despite the advancement of computational tools, there arelimited methods that can capture the latent inter-relationships ...
  • Modeling the impact of social determinants of health and public health interventions 
    Awasthi, Raghav; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-06-03)
    Social determinants of health (SDOH) are the non-medical factors that play a vital role in public health and form the basis of health policies. Building an effective public health policy is a complex endeavor that ...

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