Team

I am an Assistant Professor at the Department of Computer Science and Engineering, University of Texas Arlington (UTA) since Fall 2023. I also oversee the Transformative Wireless Systems and Technology (TWiST) lab at UTA. Prior to this, I was a Research Scientist at the Department of Electrical and Computer Engineering, Northeastern University since 2020. During that time, I was associated with Next Generation Networks and Systems (GENESYS) lab, directed by Prof. Kaushik Roy Chowdhury. I received my PhD degree in Computer Science in Spring 2020 from the Department of Computer Science, University of Central Florida. I also received Master of Science (Spring 2018) in Computer Science from the same university [CV] [UTA Profile] [Services].

Sunday Amatare (Fall 2023- ) is pursuing his PhD in Computer Engineering at The University of Texas at Arlington. Before enrolling for his PhD, he completed his BS and MS in Computer Science from the University of Ilorin (Nigeria) and the University of Ibadan (Nigeria) respectively. His research interests lie in Wireless Digital Twins, Networked Robotics, O-RAN, and the application of Machine Learning in the domain of Wireless Communications. [Website]

Gaurav Singh (Fall 2023- ) is pursuing his Doctoral degree in Computer Science at the University of Texas at Arlington (UTA). He has completed his Master of Science (MS) in Advanced Computer Science (Artificial Intelligence) from the University of Leeds, United Kingdom. His research interests lie in Machine Learning, Artificial Intelligence, and their applications in wireless communication. [Website]

SHAFI ULLAH KHAN received his bachelor’s degree in electrical engineering from the University of Engineering and Technology, Peshawar, Pakistan, and Masters degree from University of Ulsan South Korea in 2020 and 2024 respectively. He is currently pursuing his PhD degree in Computer and Information Science with the Department of Computer Science and Engineering, University of Texas at Arlington, United States. His research interests include wireless communication, machine learning, federated learning, digital health care, fault diagnosis and Internet of Things. [Website]

Rahul Vanukuri(Fall 2023) is pursuing Masters Degree with thesis in Computer Science at University of Texas  at Arlington. His research interest lie in Large Language models, ORAN, Vision transformers.

Raul Shakya (Undergraduate Student, Fall 2023- ): Computer Science and Engineering, expected graduation: Spring 2027. Raul is a dedicated sophomore majoring in Computer Science and Engineering, demonstrating an unwavering passion for the field. His enthusiasm for artificial intelligence and machine learning applications is exceptional, driving him to delve deeper into these cutting-edge technologies. Raul’s research interests include robotics, machine learning, and artificial intelligence, focusing on how these disciplines can be harnessed to revolutionize industries and improve lives worldwide. Committed to innovation and excellence, Raul aspires to contribute meaningfully to advancements in technology that shape a better future

Mohammad Hasibur Rahman (Undergraduate Student, Fall 2023- ) : Computer Science and Engineering, Expected graduation: Spring 2026. Mohammad is a freshman majoring in Computer Science with an interest in AI. He is highly passionate about research and his enthusiasm includes Machine Learning models, LLM applications, Computer Vision, Natural Language Processing.

Duy Quang Pham (Undergraduate Student, Fall 2023- ) : Computer Science and Engineering, Expected graduation: Spring 2025. Duy is an enthusiastic computer scientist who is interested in AI, Machine Learning, Software. He is able to work well both in a team environment as well as using his own initiative. He is currently looking for a summer internship so that He can use his knowledge to serve the community.

Fuhad Foesal Ahmed (Undergraduate Student, Fall 2023- ): Mechanical Engineering, expected graduation: Fall 2026. As a Mechanical Engineering student, Fuhad brings his passion for mobile development, machine learning, and networking into the fascinating world of robotics. In his quest for knowledge and impact, he is looking for opportunities that extend beyond the classroom. He is driven by the desire to gain hands-on experience and contribute meaningfully to the tech industry. He is especially fascinated by the convergence of robotics technology and mechanical systems. Motivated by a desire to comprehend the internal mechanisms of machines and the complexities of their design, he is enthusiastic about the boundless opportunities that await in the tech industry.

Michelle Samson (Fall 2023- Spring 2024) is a fast-track graduate student chosen from a pool of 3000 peers, pursuing master of science in Computer Engineering at The University of Texas at Arlington. Driven by relentless ambition, she forges innovative software solutions to actively better our world. As a devoted research assistant, she channels my skills with precision and passion, shaping a future of impactful contributions. Expected graduation: Spring 2024.

Tin Duc Ngo (Undergraduate Student, Fall 2023- ) : Computer Science and Engineering, Expected graduation: Spring 2025. Tin is interested in mobile development, machine learning as well as networking and cybersecurity, he’s seeking opportunities that will allow him to gain more experience and make an impact to the tech industry and the world.