Trustworthy Machine Learning & Autonomous Cyberphysical Security (TML-ACS) Laboratory

The TML-ACS laboratory focuses on providing security solutions to practical problems using artificial intelligence. The laboratory integrates software engineering, machine learning, data science and cybersecurity.The mission of the laboratory is:

  • to become a frontier research center of excellence in cybersecurity

  • to train and mentor students to become excellent researchers and scientists

  • to win grants, generate patents and publish research papers

Members of TML-ACS Laboratory

  • Opeyemi Ajibuwa Ph.D. Student

  • Bassey Ude M.Sc. Student

  • Richard Holdbrook M.Sc. Student

  • Adrienne Whitmore B.Sc. Student

  • Austin Smith B.Sc. Student

Former Students (Non-members of the Laboratory)

  • Victor Ibiam (Postgraduate Student, OAU, 2017)

  • Mohammed Shaaba (Undergraduate Student, OAU, 2017)

  • Taiwo Ijaola (Undergraduate Student, OAU, 2017)

  • Oluwabukunmi Arowosade (Undergraduate Student, OAU, 2017)

  • Kennedy Ibeh (Undergraduate Student, OAU, 2015)

  • Tobi Fowowe (Undergraduate Student, OAU, 2015)