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  • 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 ...
  • 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 ...
  • 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 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 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 ...
  • Adversarial network mining 
    Sharma, Ansh Kumar; Kukreja, Rahul; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-12)
    Recent advancements in the field of graph representation learning and the introduction of algorithms like DeepWalk, LINE and Graph Convolutional Networks (GCNs) have helped achieve state-of-the-art results for tasks like ...
  • Adversary detection tool 
    Goel, Akhil; Singh, Anirudh; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIITD-Delhi, 2019-04-30)
    Extensive research on attacks on deep learning models has shown that these models are not as robust as they seem. A carefully designed low magnitude perturbation is enough to cause havoc and completely confuse the model. ...
  • Aerial pedestrian detection using vision based approach 
    Chaudhuri, Yashwardhan; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2022-12)
    Aerial object detection is becoming increasingly popular since images with a large field of view provide higher information per pixel than images with a short field of view. It is popularly used for pedestrian detection ...
  • 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 ...
  • AI empowered personal digital assistant 
    Garg, Ritik; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2022-05)
    The number of tasks that we need to do is increasing day by day. A lot of time is wasted in planning the day and scheduling meetings with the seniors and colleagues. We plan to develop an AI algorithm to increase user ...
  • AI for ICU analytics 
    Gupta, Arushi; Sethi, Tavpritesh (Advisor) (IIIT- Delhi, 2021-05)
    The healthcare system is overburdened. There are just 1.34 doctors per 1000 patients in India. Intensive Care imposes the highest burden on healthcare systems all across the globe. A significant fraction of lives lost and ...
  • Air pollution and quality monitoring using IoT 
    Agarwal, Aman; Jain, Atulya; Kogta, Saloni; Naik, Vinayak (Advisor) (2017-04-18)
    Delhi has been ranked the most polluted city in the world. The air quality has been reported to be far above the safe limits. Our project aims to bring forth insights into the aspects that affect the quality of the air. ...
  • Airborne visual tracking and re-identi cation & obstacle avoidance using deep reinforcement learning for UAV's 
    Saini, Kunal; Subramanyam, A V (Advisor) (IIIT-Delhi, 2018-04-18)
    Visual tracking and person re-identification has gathered a lot of attention in computer vision due to its challenging nature and importance in surveillance applications. In this work, we explore the on-board visual tracking ...
  • AirOlfo - psychophysiological responses to olfactory stimulation 
    Gandhi, Pragya; Gupta, Aman Kumar; Wadhwa, Bhavey; Shukla, Jainendra (Advisor); Ahuja, Gaurav (Advisor) (IIIT-Delhi, 2021-12)
    Recent sherds of evidence collectively reinforce the importance of olfaction (the sense of smell) in attaining a good quality of life, primarily due to its well-established association with social, behavioral, and emotional ...
  • Algoizer app 
    Porvil; Aslam, Zubair; Bera, Debajyoti (Advisor); Das, Syamantak (Advisor) (IIIT- Delhi, 2021-05)
    This B.Tech. Project focuses on the visualization of Data Structures and Algorithms. An android application has been developed to help students understand step by step working of different data structures and algorithms.
  • 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. ...

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