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  • 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 ...
  • Accessible bus information system and associated mobile application 
    Das, Tanupriya; Gupta, Richa (Advisor) (IIIT-Delhi, 2022-05)
    Bus accessibility has been a major problem in Delhi since there is no official information system for accessing information related to buses. Users with sensory impairments such as visual and auditory impairments face this ...
  • Accessible digital education for K-12 students with visual impairments and blindness 
    Pathak, Shourya; Gupta, Richa (Advisor) (IIIT-Delhi, 2022-05)
    This project aims to make education accessible to K-12 students with blindness and visual impairment to maintain their education potential in practical and physical courses. The current inclusive education in India has ...
  • ACCORD : an analytical cache contention model using reuse distances for modern multiprocessors 
    Hemani, Rakhi; Banerjee, Subhasis; Guha, Apala (2014-09-15)
    Simultaneous execution of multiple threads on multicores is necessary for good resource utilization. However, such utilization calls for accurate models to predict the impact on performance due to contention of shared ...
  • Accounting for the correlation between low-threshold and high-threshold transistors using analytical techniques 
    Pandey, Prashasti; Saurabh, Sneh (Advisor) (IIIT-Delhi, 2024-06-01)
    With the scaling of semiconductor technology nodes, the impact of process-induced variations has increased. Statistical static timing analysis accounts for global and local variations in the timing analysis. The present ...
  • Acoustic cues for multilingual abuse detection 
    Thakran, Yash; Abrol, Vinayak (Advisor) (IIIT-Delhi, 2023-05-09)
    Abusive content detection in the spoken text can be addressed by performing Automatic Speech Recognition (ASR) and leveraging advancements in natural language processing. However, ASR models introduce latency and often ...
  • Action recognition in egocentric videos 
    Verma, Sagar; Arora, Chetan (Advisor) (2017-07)
    With an increase in usage and availability of wearable devices like GoPro, Microsoft Hololens, Google Glass, etc, egocentric video analysis has become essential. An interesting application is action recognition in egocentric ...
  • Activation functions in neural networks 
    Narayan, Anupam; Pandey, Ashish Kumar (Advisor) (IIIT-Delhi, 2023-12-12)
    Artificial neural networks (ANNs) are pivotal in deep learning, with activation functions introducing crucial non-linearity. An ideal activation function should generalize well across datasets, expedite convergence, and ...
  • Active learning for object detection 
    Goel, Atharv; Anand, Saket (Advisor) (IIIT-Delhi, 2024-12-11)
    Object detection is a fundamental task in computer vision, involving the localization and classi- fication of objects within images or video frames. However, training these models requires large amounts of labeled data, ...
  • Active learning for visual wildlife monitoring 
    Srivatsav, Deepak Magesh; Anand, Saket (Advisor) (IIIT-Delhi, 2020-05-30)
    Wildlife monitoring and tracking are vital for the preservation of various wildlife species. Activities such as poaching and loss of habitat have made wildlife monitoring and tracking increasingly tricky. Modern-day ...
  • Actively controlled retention voltage of SRAMs 
    Mamgain, Ankush; Grover, Anuj (Advisor) (IIIT-Delhi, 2018-07)
    In advance technology nodes, static power consumption is a major component of total system power in systems that do not continuously operate at very high clock frequency. SRAMs not only contribute a major portion of SoC ...
  • Adapting vehicular planning and communications for optimized driving 
    Pal, Mayank Kumar (IIIT-Delhi, 2020-07)
    Connected Autonomous Vehicles (CAVs) have for long had the attention of the intelligent transportation systems community due to their promise of improving road safety and efficiency via increased perception. CAVs broadly ...
  • Adaptive algorithms for control of robots 
    Natarajan, Ashwin Ram; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2023-11-29)
    Adaptive control is essential for the successful operation of robots in unknown environments. Existing literature involves the use of mathematical assumptions and regression techniques for estimation. This BTP develops an ...
  • Adaptive algorithms for control of robots 
    Natarajan, Ashwin Ram; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2024-04-29)
    Adaptive control is essential for the successful operation of robots in unknown environments. Existing literature involves the use of mathematical assumptions and regression techniques for estimation. This BTP develops an ...
  • Adaptive biomedical knowledge graph querying: orchestrating multi-agent AI for complex data retrieval 
    Kharkwal, Rahul; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2025-08-20)
    This thesis explores the development and evaluation of a smart, multi-agent system designed to retrieve information efficiently from a diverse biomedical knowledge graph. The graph was carefully built using BioKG data in ...
  • Adaptive concurrency throttling in the exascale era 
    Gupta, Raghav; Kumar, Vivek (Advisor) (IIIT-Delhi, 2022-05)
    Future multi-core processors will be heterogeneous, be increasingly less reliable, and operate in dynamically changing operating conditions. Such environments will result in a constantly varying pool of hardware resources ...
  • Addressing coldstart problem in recommender systems 
    Banerjee, Shisagnee; Majumdar, Angshul (Advisor) (2016-09-15)
    In the following three chapters of my thesis, I have applied several methods to solve the coldstart problem in Recommender Systems. The coldstart problem is the situation where a user or item is new to a website and ...
  • Advancing CNS tumor diagnosis: deep learning applications in histopathology of H&E-stained images 
    Deepak, Maganti; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2024-11-27)
    Deep learning has become a pivotal tool in computational pathology, particularly for classifying CNS tumors in histopathology images stained with hematoxylin and eosin (H&E). This study evaluates the performance of the ...
  • Advancing gene signature discovery with generative models : a case study in sepsis 
    Sharma, Anjali; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-05-01)
    Sepsis and diabetes present intricate medical conditions that present substantial challenges to healthcare systems globally. Timely detection and precise diagnosis are critical in facilitating effective treatment and ...
  • Advancing gene signature discovery with generative models: a case study ovarian cancer 
    Anand, Alok; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2025-06)
    Ovarian cancer is a highly aggressive malignancy with poor survival rates, largely due to late detection and extensive tumor heterogeneity. This study introduces a computational framework, NIGAM (Normalize, Identify, ...