• Cloud labs 

  Singh, Aditya; Darak, Sumit J. (Advisor) (IIIT-Delhi, 2024-04-26)

  Cloud Labs enable hardware based courses in remote environments and developing self paced learning modules. The integrated hardware and software solutions developed allow for remote access to physical labs and offer a ...
• B.Tech project on functionally redundant genome clusters 

  Reddy, Vemula Thushar; Arvind; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)

  This project aims to develop computational pipelines to cluster microbiomes from different geographic locations and disease phenotype based on the similarity in their functional signatures. This initiative has built an ...
• Adaptive algorithms for control of robots 

  Natarajan, Ashwin Ram; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2024-04-29)

  Adaptive control is essential for the successful operation of robots in unknown environments. Existing literature involves the use of mathematical assumptions and regression techniques for estimation. This BTP develops an ...
• Identifying and monitoring KPIs and optimising timetable for Delhi’s public bus network 

  Madan, Ayush; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2024-05-13)

  The primary goal of this project is to identify and develop a system to monitor Key Performance Indicators (KPIs) that can enhance the efficiency of Public Bus Services in Delhi. Valuable insights can be gained by meticulously ...
• Simulink-controlled multi-robot simulation with gazebo and ROS integration 

  Zutshi, Divij; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2024-04-29)

  This report presents the development of a Simulink-Controlled Multi-Robot Simulation system integrated with Gazebo and ROS, tailored for robotics education and research. The core objective of the project is to provide a ...
• Online gaming and masculinity among young adults 

  Garg, Aditya; Kumar, Jatin; Singh, Smriti (Advisor) (IIIT-Delhi, 2024-04-29)

  Online gaming has transcended its status as a recreational activity to become a pervasive cultural force in recent decades, attracting the attention of scholars who have meticulously examined its qualitative and quantitative ...
• IMC hardware accelerator evaluation framework 

  Marwah, Sahas; Dubey, Suyash Kumar; Grover, Anuj (Advisor) (IIIT-Delhi, 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, ...
• Implementation of cache-coherent NoC for multi-core systems 

  Pai, Ullas Ravindra; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-12-05)

  In a multi-core system, each core has its own local cache, which stores copies of data from the main memory. In a single program, different threads might run on separate cores to perform parallel tasks. These threads could ...
• 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 ...
• 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 ...
• 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 ...
• Design and resource optimization of sparse code multiple access-assisted communication systems 

  Chaturvedi, Saumya; Bohara, Vivek Ashok (Advisor); Srivastava, Anand (Advisor) (IIIT-Delhi, 2024-07)

  The evolution of next-generation communication systems, driven by applications like smart cities, factories of future, and autonomous vehicles, has led to a surge in communication devices and applications facilitated by ...
• Quality-of-service aware resource allocation for integrated fiber-wireless (FiWi) access networks 

  Gupta, Akshita; Bohara, Vivek Ashok (Advisor); Srivastava, Anand (Advisor) (IIIT-Delhi, 2024-09)

  This thesis aims to propose an efficient resource allocation framework to ensure the quality of service (QoS) to the users. The frameworks proposed in this dissertation can be efficiently utilized to provide QoS guarantees ...

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