• Reducing test time using regression algorithms in post silicon validation 

  Mamodia, Shivani; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-07-01)
• Unsupervised cross modality person Re-Identification 

  Gupta, Sagar; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-07-01)

  Unsupervised Person Re-Identi cation (Re-ID) su ers severely from the gap in the modality. Many factors pose a challenge to the task, including occlusions, lightning conditions, pose changes, among several others. Various ...
• Design thinking for social innovation: the tale of humankind 

  Gupta, Aniket; Grover, Anuj (Advisor); Sharma, Jyoti (Advisor) (IIIT-Delhi, 2023-11-29)
• Demonstration of federated averaging using zigbee and SDR 

  Singh, Monika; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-11-29)

  Wireless devices, including mobile phones, laptops, autonomous driving, UAT, etc., generate an enormous amount of local data, which could be employed to train machine learning models for decision-making and improve prediction ...
• TA allocation system 

  Sony, Atyant; Palia, Arnav Kumar; Bansal, Mohit; Gupta, Nikhil; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2023-11-29)

  This report addresses significant challenges in our academic institution's manual Teaching Assistant (TA) allocation process. The current system relies on time-consuming Excel sheets and email-based communication, leading ...
• Northeast states content(youtube) analysis and identification of misinformation spread through online social networks 

  Upadhyay, Saurav; Haripriya, Soibam (Advisor) (IIIT-Delhi, 2023-11-28)

  In recent year ,due to the advancement in online social networks,possibility of spreading misinformation increases.Online Social Networks earlier seem to be safer path for sharing information and strengthen the community,but ...
• Design and evaluating performance of hardware accelerators for implementation of neural networks 

  Marwah, Sahas; Dubey, Suyash Kumar; Grover, Anuj (Advisor) (2023-12)

  Neural networks have emerged as a powerful tool in machine learning and deep learning, showcasing remarkable capabilities in image recognition, natural language processing, and autonomous decision-making tasks. However, ...
• 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 ...
• Approximate computing as a means of fault tolerance in mWNoCs 

  Joshua, Massa; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-10-29)

  In the realm of chiplet-based computing, the advent of Network-on-Chip (NoC) technology has brought forth remarkable opportunities to harness the potential of on-chip wireless communication. This report embarks on a ...
• Image generation using AI 

  Srivastava, Aryman; Dheeraj; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-04-29)

  Deep learning involves training machines to understand patterns, classify objects, and predict outcomes. This has led to the emergence of various fields, including computer vision, natural language processing, speech ...
• Teleportation and redirected walking in VR 

  Singh, Harsh Vardhan; Sharma, Ojaswa (Advisor) (IIIT-Delhi, 2023-11-29)

  Empowering remote users to navigate expansive environments through a robot surrogate presents a significant challenge, especially when constrained by limited physical space. Our project aims to enable individuals within ...
• Fair counterfactual prediction 

  Choudhary, Simran; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-11-29)

  This research explores the evolving landscape of Explainable Artificial Intelligence (XAI), with a specific focus on counterfactual explanations and their role in ensuring fairness and reducing bias in AI decision-making. ...
• Collision probability of space objects 

  Kumar, Sarthak; Biswas, Sanat (Advisor) (IIIT-Delhi, 2023-12-09)

  The primary objective of this research project was to conduct a comprehensive analysis of stateof- the-art algorithms designed for the calculation of Collision Probability between satellites and other space objects, ...
• Design & optimizing distributed learning gradients using control theory 

  Mehrotra, Sparsh; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2023-12)

  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. ...
• Simulink-controlled multi-robot simulation with gazebo and ROS integration 

  Zutshi, Divij; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2023-11-29)

  In the evolving realm of robotics research and education, the amalgamation of Simulink, Gazebo, and ROS has birthed a dynamic multi-robot simulation environment. This project’s primary objective is to provide an immersive ...
• Cuisine fusion 

  Gupta, Arsh; Makkar, Kshitij; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)

  With growing diversity in personal food preference and regional cuisine style, personalized information systems that can transform a recipe into any selected regional cuisine style that a user might prefer would help food ...
• Frequency domain gradient visualization for acoustic models 

  Thakran, Yash; Abrol, Vinayak (Advisor) (IIIT-Delhi, 2023-12-08)

  Modeling directly raw waveforms through neural networks for speech processing is gaining more and more attention. Despite its varied success, a question that remains is: what kind of information are such neural networks ...
• Federated averaging in noisy asynchronous settings 

  Fatima, Zubaida; Jamal, Yusuf; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-12-07)

  This research report investigates the robustness of Federated Learning (FL) by understanding and examining the performance of Federated Averaging (FedAvg) and Federated Proximal (Fed- Prox), along with the study of fading ...
• Personal health record app 

  Shariq, Mohammad; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)

  The government of India launched the National Digital Health Mission(NDHM) initiative to make healthcare more accessible by digitizing patient data and unifying processes. We propose implementing an NDHM-compliant personal ...
• Analysis of stock market data 

  Kuria, Samuel Muchai; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2023-11-29)

  This project developed a real-time stock market analysis tool designed to meet the needs of today's fast-paced financial environment. Utilizing Flask for its efficient and flexible architecture, and integrating with the ...

View more