DSpace at IIIT-Delhi: Recent submissions

  • Online federated learning through control engineering perspective 
    Karwasara, Lakshya; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2024-04-29)
    This BTP explores the integration of Online Federated Learning (OFL) with Distributed Online Linear Regression (DOLR) in the context of the FedOMD algorithm, addressing the challenges of regret minimization and accurate ...
  • Analysis of stock market data 
    Kuria, Samuel Muchai; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2024-04-29)
    This project developed a real-time stock and mutual funds market and mutual fund analysis tool designed to meet the needs of today's fast-paced financial environment. Utilizing Flask for its efficient and flexible architecture, ...
  • Collision probability of space objects 
    Kumar, Sarthak; Biswas, Sanat K (Advisor) (IIIT-Delhi, 2024-04-29)
    The primary objective of this research project was to conduct a comprehensive analysis of state- of-the-art algorithms designed for the calculation of Collision Probability between satellites and other space objects, ...
  • Identification and analysis of fake or real news using machine learning model 
    Saurav; Gaurav; Haripriya, Soibam (Advisor) (IIIT-Delhi, 2024-04)
    In recent year, spreading of fake news has been one of the most highlighted things society is dealing with. We have seen in past that fake news leads to serious riots and created a fearful en- vironment for general people. ...
  • Design & optimizing distributed learning gradients using control theory 
    Mehrotra, Sparsh; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2024-05)
    We use different optimizers in everyday Machine Learning and Deep Learning applications. The task for any machine learning algorithm is to 𝑚𝑖𝑛 𝑓 (𝑥), where 𝑓 is the objective function and 𝑥 is the input parameter. ...
  • Computational gastronomy API 
    Dhanwadia, Vikrant; Bagler, Ganesh (Advisor); Goel, Mansi (Advisor) (IIIT-Delhi, 2024-04-29)
    This semester had the main objective of thoroughly rectifying Recipe DB 2 and its backend with special attention towards issues in the back-end architecture of the API dashboard. The abnormal functioning of Elastic search ...
  • Towards C+L band elastic optical networks: a solution to overcome the opticalfiber capacity crunch problem 
    Jana, Rana Kumar; Srivastava, Anand (Advisor); Mitra, Abhijit (Advisor) (IIIT-Delhi, 2024-09)
    Over the past decade, there has been an exponential rise of high-data-rate, ultra-low-latency, and bandwidth-hungry applications at the client’s end, which has increased data traffic many-fold. Recent developments in 5G ...
  • Comprehending the synergistic effects of gene ensembles in the context of disease biology, prognosis, and therapy 
    Sharma, Madhu; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2024-09)
    It is rare for individual genes to exert influence on biological processes in isolation. Instead, they are controlled by intricate networks of genes that collaborate in a well-organized manner. Complex biological processes ...
  • Distributed adaptive parameter estimation and control with relaxed excitation conditions 
    Garg, Tushar; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2024-12-12)
    Over the years, distributed adaptive parameter estimation/control for multi-agent systems (MASs) has gained a lot of attention in the form of dynamical systems, where the concept of cooperative persistence of excitation ...
  • On logical structures 
    Roy, Sayantan; Basu, Sankha S. (Advisor); Chakraborty, Mihir K. (Advisor) (IIIT-Delhi, 2024-07-01)
    Universal logic, as described by Béziau, is a structural approach to logic which aims to unify the large kaleidoscopic variety of logics, while preserving their diversity. In order to do this, Béziau’s original proposal ...
  • Viscoelastic subdiffusive flows : modelling, analysis and computation 
    Chauhan, Tanisha; Sircar, Sarthok (Advisor) (IIIT-Delhi, 2025-01-27)
    This thesis explores the rheodynamics of viscoelastic subdiffusive fluids and high-lights the potential of fractional calculus in modelling these types of fluids. A novel fractional model is developed to investigate the ...
  • Human activity recognition using MEMS-based motion sensors 
    Soubam, Sonia; Naik, Vinayak [Advisor] (IIIT-Delhi, 2025-01)
    Micro-electro-mechanical systems (MEMS) are miniature devices that integrate mechanical and electrical components on a single silicon chip, often including sensors and actuators. With sizes ranging from a few micrometers ...
  • Explainable machine learning with epigenomic features for insights into regulatory and functional genomics 
    R Chandra, Omkar; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2024-07-01)
    There are thousands of genes with incomplete functional annotations, particularly non-coding genes. Understanding the functional roles of genes is crucial for dissecting the complex genomic regulatory mechanisms underlying ...
  • Simplifying prototyping of friction-based haptics and miniature input devices for VR 
    Mishra, Abhijeet; Shukla, Jainendra (Advisor); Parnami, Aman (Advisor) (IIIT-Delhi, 2024-07)
    The HCI community widely recognizes the significant benefits of integrating haptic feedback and input devices into digital environments. These integrations are crucial to creating authentic user experiences, enabling users ...
  • Implementation of an accelerator for edge computing devices 
    Gupta, Garvit; Deb, Sujay (Advisor) (IIITD, 2021-05-10)
    Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed to improve response times and save bandwidth. Two important aspects of edge computing ...
  • Semi Supervised Federated Learning with pseudo-labeling 
    Gupta, Kavya; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2024-03)
    In order to efficiently learn from small amount of labeled data, this study presents pseudo- labeling using semi-supervised learning in a federated setting (Pseudo-FedSSL), a novel approach to semi-supervised federated ...
  • Gray matter volume correlates of the spatial distribution of visual attention in high trait anxiety 
    Chakrabarty, Mrinmoy (Advisor); Mir, Suhail Rafiq; Singh, Varsha (Advisor) (IIIT-Delhi, 2024-10-05)
    Flexible allocation of attentional resources to different spatial loci is crucial to meet the demands of a dynamic environment that we navigate daily. The inability to adaptively redistribute spatial attention may lead to ...
  • Memory of emotional events under cognitive load influence resting state functional brain connectivity in subclinical anxiety 
    Kinger, Shruti; Chakrabarty, Mrinmoy (Advisor) (IIIT-Delhi, 2024-12-13)
    Memory suppression is an active process that voluntarily prevents the intrusion of undesirable memories into one's conscious awareness. However, the process may trigger ironic effects, meaning such suppressed memories ...
  • Mapping fear affect and inhibitory control in young adult brains : insights from resting-state functional connectivity 
    Kinger, Shruti; Suri, Kapali; Chakrabarty, Mrinmoy (Advisor) (IIIT-Delhi, 2024-10-05)
    The cognitive component of anxiety, measured using the Fear Affect scale of the National Institutes of Health toolbox, stems from perceived threats of events distant in space and time. Since anxiety is known to impact ...
  • Improving content quality for online professional activities using domain specific learning and knowledge 
    Goyal, Nidhi; Kumaraguru, Ponnurangam (Advisor); Mutharaju, V. Raghava (Advisor); Sachdeva, Niharika (Advisor) (IIIT Delhi, 2024-09)
    Online professional platforms such as Indeed, LinkedIn, Naukri, Stack Overflow, and Blind serve as digital ecosystems to connect professionals, employers, and job seekers. These platforms witness online user activities, ...

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