DSpace at IIIT-Delhi: Recent submissions

  • 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 ...
  • 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 ...

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