Year-2025

 

Recent Submissions

  • Accelerated reconstruction of HARDI data and fiber orientation estimation 
    Vaish, Ashutosh; Gupta, Anubha (Advisor); Rajwade, Ajit (Advisor) (IIIT-Delhi, 2025-12-31)
    The human brain has a complex network of nerve fibers, particularly in the white matter regions. This nerve fiber network forms the basis of connectivity within brain regions and to the other parts of the body. Traditional ...
  • Modelling and analysis of UAV-Assisted cellular networks 
    R R, Neetu; Ghatak, Gourab (Advisor); Bohara, Vivek Ashok (Advisor); Srivastava, Anand (Advisor) (IIIT-Delhi, 2025-12)
    Emerging as a transformative solution in next-generation wireless networks, unmanned-aerial vehicles (UAVs) provide unprecedented flexibility, rapid deployment, and enhanced connectivity. Their integration into conventional ...
  • Investigating probabilistic computing: devices, circuits, and systems 
    Haroon, Amina; Saurabh, Sneh (Advisor) (IIIT-Delhi, 2025-09)
    The semiconductor industry has been driven by digital computation using binary digits, following Moore’s law for over half a century. However, the demands of emerging applications like artificial intelligence (AI), cloud ...
  • Landing of a quadrotor UAV on a moving platform using visual servoing techniques 
    Kumar, Yogesh; Roy, Sayan Basu (Advisor); Sujit, PB (Advisor) (IIIT-Delhi, 2025-08-05)
    Unmanned aerial vehicles (UAVs), particularly quadrotors, have become indispensable in both military and civilian applications, offering autonomous capabilities that enhance operational efficiency. Among the many challenges ...
  • Performance analysis and resource optimization in free space optical communication networks 
    Singh, Priyanka; Bohara, Vivek Ashok (Advisor); Srivastava, Anand (Advisor) (IIIT-Delhi, 2025-06)
    In today’s world, wireless communication has become a necessity due to the growing reliance on data-intensive Internet usage. The growing need for high transmission rates in bandwidth-intensive applications,such as ...
  • Domain adaptation using sparse representation learning techniques 
    Kumar, Kriti; Majumdar, Angshul (Advisor); Chandra, M Girish (Advisor) (IIIT-Delhi, 2025-05)
    Domain Adaptation (DA) techniques facilitate knowledge transfer from labeled data of a source domain to improve model performance on partially labeled or unlabeled target domain data, where source and target data have ...