Welcome to my homepage! My major research interests lie in the intersection area of Computer Vision for Autonomous Vehicles, Robotics, Virtual Reality, NLP, Machine Learning, and Deep Reinforcement learning with an emphasis on algorithms for the control and optimization of stochastic dynamic systems, particularly reinforcement learning and simulation optimization. I'm also interested in malware detection, multi-party computation, and cryptography.
Find Out More
I am currently a Master’s student in Computer Science at the University of Oklahoma, working as a Researcher in Prof. Golnaz Habibi’s lab. My research focuses on Simultaneous Localization and Mapping (SLAM), optimization algorithms, robotics, and artificial intelligence.
Previously, I worked at the Indian Institute of Science, Bangalore, where I contributed to government-funded research projects. I played a key role in developing the Automatic Cryptographic Algorithm Validation System (ACAVS), which secured $200 million in funding and significantly improved cryptographic validation efficiency. Additionally, I led the development of a virtual physics experiment lab and a virtual assistant module using BERT, AllenNLP, and IBM Watson, aimed at enhancing STEM education.
I am an enthusiastic, dedicated, and self-motivated researcher, always eager to explore the latest advancements in machine learning, deep learning, reinforcement learning, robotics, computer vision, information security, and malware detection. My passion lies in bridging theoretical research with practical applications, particularly in AI-driven robotics and cybersecurity.
Beyond academics, I enjoy playing cricket, listening to soft music, and writing poetry in my leisure time. Occasionally, I like to cook new dishes or spend time amidst nature, finding inspiration in the world around me.
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In this project, I implemented the KIMERA algorithm to map the MiniCity environment and analyzed its limitations under varying lighting conditions to assess its effectiveness in SLAM applications.
+ In this project, I trained a JetBot, an autonomous vehicle, to follow a designated path using a collision avoidance algorithm and tested its performance in the MiniCity environment.
In this project, I developed a Patient Assistant Database Network System using Azure, enabling efficient data management and accessibility for patient records.
In this project, We developed a web application for securely sharing private keys to establish a secure channel for encrypted message exchange
My role in this project is to develop a virtual assistant for a restricted knowledge base for STEM VR experiments (Funded by the MeitY government of India).
+ My primary role in this project is to write code for validation cryptographic algorithms (DSA, ECDSA, RSA, KAS, etc.) automatically. I am also involved in developing the backend and front end for automated CAVS(Cryptographic Algorithm Validation System) [Funded by the MeitY government of India].
In this project, we are trying to develop an autonomous navigation drone that can recognize the path inside the building and map the whole building from the inside. This project is still in progress.
In this project, I implemented the Double Q-Learning algorithm on Mountain Car Game as a reinforcement learning project. I also tried to improve the algorithm learning rate.
I developed a physical model to demonstrate the exponential distribution in this project. It gives a realistic picture of the exponential distribution.
In this project, I trained and tested CNN, RNN, and LSTM algorithms for handwritten digit recognition on the MNIST data set. I also compare the results for the given algorithms.
In this project, I trained and tested CNN, RNN, and LSTM algorithms for handwritten digit recognition on the MNIST data set. I also compared the results of these algorithms.
This was my major undergrad project, where I extended my minor project and proposed a new model which is more efficient and reliable than D.K. Lobiyal’s paper and implemented it.
This was my minor undergrad project in which I implemented the research paper authored by D.K. Lobiyal using NetSim Simulator.
In this project, I trained a machine learning model using linear regression to predict the types of tumor (Malignant/Benign).
In this project, we developed a PC game. The motivation for developing this game was- to teach physics, chemistry, and mathematics to students while playing this game.
● 3D Scanning Lab, Bizzell Memorial Library
● University of Oklahoma
● Role: Conducting 3D scanning using various methods, including photogrammetry, structured light scanning, and laser scanning. Responsible for data processing, model reconstruction, and optimizing 3D models for research and archival purposes.
● Voice Chair of the Public Relations Committee
● University of Oklahoma
● Role: Addressing student concerns, drafting resolutions for the OU campus, designing flyers for various committees, and contributing to campus policy initiatives.
● Engineering Leadership Program
● University of Oklahoma
● Role: Participating in various engineering activities for holistic professional and leadership development.
● 3D Printing MakeSpace, Bizzell Memorial Library
● University of Oklahoma
● Role: Supervising 3D Printing, 3D Scanning, Virtual Reality Services
● DIC lab, CPDM, Indian Institute of Science
● Project: NDIN
● Role: Developing virtual assistant for STEM
● Information Security Lab, SERC, IISc.
● Project:CAVS
● Role: Developing Cryptographic algorithm
validation System
● Research Member: FOREST Indigenous Knowledge Research Group
● Organizaiotion: XPRIZE, USA
● Position: Summer Research Fellow
● Organization: Indian Academy of Sciences, Bangalore
● Undergrad Summer School 2017
● Dept: Computer Science and Automation
● Organization: Indian Institute of Science, Bangalore
● Positon: Research Intern
● Dept: IT Department
● Organization: Indian Northern Railway, Lucknow Division, India
● Positon: Intern
● Program: Advance Java Programming for Web Development
● Organization: NIIT-Oracle workforce development program, Lucknow
● Stream: Computer Science (CS)
● Inst: School of Computer Science, University of Oklahoma, Norman, OK, USA
● Reinforcement Learning
● Advisor: Prof. Shalabh Bhatnagar (CSA)
● Inst: Indian Institutue of Science, Bangalore
● Deep Learning
● Advisor: Prof. Sri Ram Ganapathi (ECE)
● Inst: Indian Institute of Science, Bangalore
● Data Mining
● Advisor: Prof. Susheela Devi
● Inst: Indian Institute of Science, Bangalore
● Stream: Computer Science and Information Technology (CSIT)
● Inst: Institute of Engineering and Technology, campus MJPRU, Bareilly, U.P.
● Stream: PCM
● College: Career Convent Inter College, Lucknow
● Stream: Science
● School: DRLIC, Pilkhava, Gandhinagar, Ambedkar Nagar, UP
● School: City Montessor School
