People

Faculty

Habeeb Olufowobi, Ph.D.

Habeeb Olufowobi is an Assistant Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington (UTA). Dr. Olufowobi received his Ph.D. in Computer Science from Howard University in 2019. He received his master’s degree in Electrical Engineering with an emphasis in Computer Systems from California State Polytechnic University, Pomona, and a bachelor’s degree in Computer Science from Fountain University, Nigeria. Dr. Olufowobi’s research interests include Embedded Systems Security, Network Security, IoT security, data provenance, machine learning, and cloud computing.

 

Ph.D. Students

Arkajyoti Mitra

Arkajyoti Mitra is a Ph.D. student in the Computer Science and Engineering Department at The University of Texas at Arlington (UTA). He received his master’s degree in Computer Science from The Indian Institute of Technology (Indian School of Mines) Dhanbad and his bachelor’s degree in Computer Science from Kalyani Government Engineering College in India. He is currently pursuing his research in the CSS lab. His research focus includes sensor-based perception systems, detecting vulnerabilities in vehicular architecture in autonomous vehicles, and computer vision. In his spare time, he likes to read a book, try out new cuisines, play PC games such as Valorant, or a game of badminton with friends.

 

Afia Anjum

Afia Anjum is a Ph.D. student in the Computer Science and Engineering Department at The University of Texas at Arlington (UTA). She is currently pursuing her research in the Cyber-Physical System Security (CSS) Laboratory. Her research mainly focuses on building secure and efficient network solutions for real-time communication is Internet of Things (IoT), Internet of Vehicles (IoV), autonomous vehicles, and embedded systems. Afia received her bachelor’s degree in Computer Science and Engineering (CSE) from Military Institute of Science and Technology (MIST), Bangladesh in 2018. Before coming to UTA, Afia worked as a lecturer in the Department of CSE at MIST for 2.5 years.

 

Paul Agbaje

Paul Agbaje is a Ph.D. student in the Computer Science and Engineering Department at The University of Texas at Arlington (UTA). He earned his bachelor’s degree in Electrical and Electronics Engineering from the University of Ilorin, Nigeria. Paul’s ongoing research in the CSS lab centers on addressing the security issues stemming from the vulnerability of distributed nodes to potential malicious cyberattacks in the operating environment. His research delves into improving machine learning (ML) frameworks and applying robust ML algorithms for detecting anomalies in distributed networks, such as those found in the Internet of Vehicles and Internet of Things networks.

 

Masters Students

Pranali Khose

Pranali Khose is a graduate student in the Computer Science and Engineering Department at The University of Texas at Arlington (UTA). Her academic focus centers on conducting research in the field of Neural Networks at the CSS lab. Pranali received her bachelor’s degree in Information Technology from Savitribai Phule Pune University, India. Outside of her academic endeavors, she enjoys indulging in cooking and watching cricket matches.

 

Undergraduate Students

Abraham Mookhoek

Abraham Mookhoek is an undergraduate student in the Computer Science and Engineering Department at The University of Texas at Arlington (UTA). He is on track to graduate in Spring 2024 with plans to enter UTA’s PhD program. Abraham is currently researching autonomous vehicle security in the CSS Lab. His other research interests are network security, embedded systems, and IoT. Recreationally, he enjoys discussing philosophy and playing a variety of board games.

 

David Oyekola

David Oyekola is an undergraduate student majoring in Computer Science at The University of Texas at Arlington (UTA)

Kazi Md Waliul Azim

Kazi Md Waliul Azim is an undergraduate student majoring in Computer Engineering at The University of Texas at Arlington (UTA). He is on track to graduate in Fall 2025. His research interests include sensor-based perception systems, detecting vulnerabilities in vehicular architecture in autonomous vehicles, and computer vision. In his free time, he likes to drive around and enjoy life a little bit.

 

High School Student

Mustafa Daher

Mustafa Daher is a homeschooled high school student enrolled in dual credit courses at The University of Texas at Arlington (UTA), with an expected high school graduation in spring 2024. His current academic interests revolve around conducting research at the CSS lab, and while he hasn’t settled on a specific focus yet, he is dedicating his time to learning about the security and infrastructure of both the Internet of Things (IoT) and the Internet of Vehicles (IoV). When found empty handed, he likes to play boards games such as chess and likes trying to develop software.

 

Prospective Students

CSS Lab is seeking outstanding and highly motivated graduate students to join our research group in the areas of distributed and embedded systems security. CSS Lab conducts research addressing a wide spectrum of security problems in the cyber-physical systems space. We seek to develop mechanisms to address security, trust, and resilience of representative computer applications designed for the Internet of Things, distributed embedded systems, automotive systems, and related network-connected critical infrastructure. 

Interested candidates should have:

  • a background in one or more of the following areas; system and digital security, network security, hardware security, sensor networks, embedded and mobile systems, distributed systems, automotive systems, and data engineering;
  • a bachelor’s or master’s degree in Computer Science, Computer Engineering, or Electrical Engineering;
  • substantial programming experience in C/C++, Python, and good writing skills. 

We also have research opportunities for undergraduate students and first-year M.S students in these areas.

If interested, please contact me at habeeb.olufowobi@uta.edu with your resume and a summary of your research interests.