Browsing Year-2021 by Title

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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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Analysis of social media movements 
    Kumar, Vishwesh; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2021-12)
    Political campaigns recently use social media networks as an important environment to gain visibility for causes such as policy disagreement. Users often show divided opinions on the enacted policy, which sparks intense ...
  • Analyzing images on social media for (not) using mask 
    Singh, Asmit Kumar; Mehan, Paras; Kumaraguru, Ponnurangam (Advisor); Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2021-05)
    The adoption of non-pharmaceutical interventions and their surveillance is critical for detecting and stopping possible transmission routes of COVID-19. A study of the effects of these interventions in terms of adoption ...
  • Bot analysis on social media 
    Caur, Samiya; Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2021-05)
    Ever since the 2014 Lok Sabha election, social media platforms such as Twitter, Facebook etc.have become a vital part of election campaigns in India with political parties investing heavily in the expansion of their ...
  • Can we predict propensity of sharing of multimedia content among Indian ethnicity 
    Prasad, Yashdeep; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2021-12)
    Billions of online video ads are viewed every month. We aim present a large scale dataset of the response of Indian audience to the online advertisements. The project is an attempt to find a causality between popularity ...
  • Clique counting in graph streams 
    Vinayak (IIIT- Delhi, 2021-06)
    Clique counting is a well studied problem in low memory models like graph streaming. There are algorithms which provide good space complexity bounds for general graphs. For constant pass, approximation algorithms counting ...
  • Co-speech gesture generation for a conversing virtual agent 
    Khan, Ruhma Mehek; Gupta, Ria; Shukla, Jainendra (Advisor); Bera, Aniket (Advisor) (IIIT-Delhi, 2021-12-14)
    Humans make use of gestures while interacting to enhance the effectiveness of their communication. With the increasing use of virtual agents and humanoid robots, researchers have been trying to make the virtual agents more ...
  • Co-speech gesture generation for a hindi conversing virtual agent/robot 
    Khan, Ruhma Mehek; Gupta, Ria; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2021-03-17)
    Humans make use of gestures while interacting to enhance the effectiveness of their communication. With the increasing use of humanoid robots and virtual agents, researchers have been trying to make the robots more human-like, ...
  • Code clone detection framework based on domain adaptation 
    Malhotra, Hrithik; Purandare, Rahul (Advisor) (IIIT-Delhi, 2021-12)
    Code clones are duplicate code fragments that share (nearly) similar syntax or semantics. Code clone detection plays an important role in software maintenance, code refactoring, and reuse. Most of the techniques for code ...
  • Course recommendation and management system 
    Garg, Avi; Agrawal, Divyam; Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2021-05)
    Registration of courses through the current ERP system in place at the institution, poses several problems. Selecting courses based on multiple criteria like credit requirements, degree requirements, timing clashes, ...
  • Cuttlefish library for achieving energy efficiency in multicore parallel programs 
    Gupta, Akshat; Kumar, Sunil; Kumar, Vivek (Advisor); Bhalachandra, Sridutt (Advisor) (IIIT- Delhi, 2021-06)
    A low-cap power budget is challenging for exascale computing. Dynamic Voltage and Frequency Scaling (DVFS) and Uncore Frequency Scaling (UFS) are the two widely used techniques for limiting HPC application's energy footprint. ...
  • Dark patterns 
    Singh, Pragya; Eden, Grace (Advisor) (IIIT-Delhi, 2021-11)
    Dark patterns are user interfaces that are purposefully designed to manipulate users into taking certain actions in order to benefit a company or an organisation and are not in the user’s best interest. This report documents ...
  • Data quality and privacy action 
    Thulasidoss, Bharath Kumar; Garimella, Pavan Kumar; Sethi, Tavpritesh (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2021-05)
    In an era where the volume of data sets for a particular topic keeps increasing, it is necessary to have quality checks on the data to keep it relevant to modern learning algorithms. Quality parameters provide an objective ...
  • Defending touch-based continuous authentication systems from active adversaries using generative adversarial networks 
    Mehrotra, Pragyan; Shah, Rajiv Ratn (Advisor); Kumar, Rajesh (Advisor) (IIIT-Delhi, 2021-12)
    Previous studies have demonstrated that commonly studied (vanilla) touch-based continuous authentication systems (V-TCAS) are susceptible to population attack. This paper proposes a novel Generative Adversarial Network ...
  • Deployable dashboard for ICU models 
    Somannagari, Neha Reddy; Sethi, Tavpritesh (Advisor) (2021-05)
    Health care systems all around the world have an ever-growing burden of intensive care on them. Complications such as sepsis, organ failure and shock contribute to a large portion of the deaths. However they can be treated ...
  • Design and development of smartphone based health monitoring system 
    Kochar, Adwit Singh; Bansal, Pabitra; Singh, Rahul; Agrawal, Yashwin; Deb, Sujay (Advisor) (IIIT-Delhi, 2021-12)
    Critical health parameters such as SpO2 and Blood Pressure play a massive role in determining a person’s health condition, and hence their tracking and monitoring are essential. Currently, the problem with health monitoring ...

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