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  • 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. ...
  • Amoeba : high performance and energy efficient community detection using multicore processors 
    Saini, Hardik; Kumar, Vivek (Advisor); Chakrborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-05)
    Detecting an accurate community structure is a central problem in network analysis. With the popularity of social networking sites, a community detection algorithm's performance and energy efficiency are equally vital for ...
  • Analysing hyperbolic representations for use in recommendations in social networks 
    Kalra, Pankil; Buduru, Arun Balaji (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2021-05)
    Recommender systems play an important role in helping online users find relevant information by suggesting content that can be of potential interest to them. Different Social networks have indicated hierarchical structures ...
  • Analysing long egocentric videos 
    Nagar, Pravin; Arora, Chetan (Advisor) (IIIT-Delhi, 2023-02)
    Egocentric videos are recorded in a hands-free, always-on, under enhanced privacy-sensitive scenario and are often collected from day to weeks. For efficient consumption, such videos require robust video analysis techniques ...
  • Analysing social media for COVID positive cases 
    Singhal, Sonali; Pandey, Tanisha; Kumaraguru, Ponnurangam (Advisor); Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2020-05)
    The COVID19 pandemic, a public health emergency which broke out globally in December 2019 and is still going on, has put us all into an unprecedented situation where there are strict limitations on physical social interaction ...
  • Analysing space utilization using indoor localization 
    Aneja, Joy; Singh, Pushpendra (Advisor) (2016)
    The wide deployment of IEEE 802.11 Wireless LAN in offices, colleges and other organizations makes it a prime solution for indoor localization. Wireless access point awareness and its small cell size helps in localizing ...
  • Analysing the affect of navigation system voice on driving performance 
    Samal, Vishal; Gupta, Ankit Raj; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2020-12)
    Driving is a demanding task both mentally and physically. Our emotional state can have a signi ficant effect on our driving performance. Due to which automobile organizations have been interested in developing emotionally ...
  • Analysis and estimation of jitter sub-components 
    Sharma, Vijender Kumar; Deb, Sujay (Advisor) (IIIT Delhi, 2014-09-06)
    Maintaining quality of signal transmission is a major challenge with the increasing speed of data transmission in Nano-scale VLSI technology. The decreasing voltage margins at the same time, makes it even stringent to ...
  • Analysis and evaluation of algorithms for newborn face recognition 
    Agarwal, Mallika; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (2017-04-18)
    Recognizing people with their face has received a lot of attention from the research community. However, face recognition for newborns is in a nascent stage. The need for effective identification of newborns has been rising ...
  • Analysis and modeling of content and coherence for automatic scoring of L2 speakers 
    Aggarwal, Gaurav; Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2021-05)
    This study focuses on understanding content and coherence for Automated Oral Proficiency Scoring and Feedback Generating System in the context of spontaneous speech of non-native(L2) English learners. We aim to understand ...

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