Organizers
Debbie Roy
Debashri (Debbie) Roy is an Assistant Professor at the Department of Computer Science and Engineering at the University of Texas at Arlington (UTA), where she leads the Transformative Wireless Systems and Technology (TWiST) Lab. Before this, she was a Research Scientist at the Department of Electrical and Computer Engineering, at Northeastern University for three years. She earned her Ph.D. and MS in Computer Science from the University of Central Florida in 2020 and 2018, respectively. Her research interests involve machine learning-based applications in the wireless communication domain, targeted to the areas of deep spectrum learning, networked robotics, wireless digital twins, and immersive experience for next-generation wireless systems.
Michelle Samson
Michelle Samson (Fall 2023- ) 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.
Duy Quang Pham
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.
Tin Duc Ngo
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.
Mohammad Hasibur Rahman
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.
Fuhad Foesal Ahmed
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.
Sunday Amatare
Sunday Amatare (Fall 2023- ) is pursuing his PhD in Computer Science 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 interest lies in the application of Machine Learning in Wireless Communication.
Gaurav Singh
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.
Hasin Ahmed
Hasin Ahmed (Undergraduate Student, Spring 2023-): Computer Engineering, expected graduation: Fall 2027. Hasin's passion lies in semiconductors, electronics, circuit design, and analysis. He is dedicated to bridging theory and practice through hands-on projects, and aims to contribute to the evolving field of Computer Engineering, focusing on innovative solutions.
Kanchan Thapa
Kanchan Thapa (Undergraduate Student, Spring 2023-): Computer Science and Engineering. Expected graduation: Fall 2026. As a freshmen in Computer Science with an interest in AI and Machine Learning, Kanchan is eager to gain hands-on experience and contribute to research to serve my knowledge and dive deep into the field.
Tanusree Das Tithy
Tanusree Das Tithy is currently pursuing her PhD in Computer Science and Engineering at the University of Texas at Arlington (UTA). She earned her Bachelor of Science and Engineering (B.Sc Engr.) degree in Computer Science and Engineering from Khulna University of Engineering & Technology (KUET), Bangladesh. Her research endeavors are focused on exploring the realms of Machine Learning, Deep Learning, and Artificial Intelligence, particularly their integration and applications within wireless communication technologies.