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

• Adjovi Laba M.Sc. Student

• Richard Holdbrook M.Sc. Student

Former Students

• Oluwadoyinsola Ige M.Sc. Student (Graduated Fall 2024, NCAT)

• Adrienne Whitmore B.Sc. Student (Graduated Spring 2024, NCAT)

• Austin Smith B.Sc. Student (Graduated Spring 2024, NCAT)

• Bassey Ude M.Sc. Student (Graduated Fall 2023, NCAT)

• 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)