Engr. Frank Efe Erukainure

Engr. Frank Efe Erukainure (R.Engr. COREN, MNSE) is a Mechanical, Mechatronics, and Robotics engineer, and a lecturer in the Department of Mechatronics Engineering at Federal University Otuoke, Nigeria. He received the Virginia Tech (VT) Institute for Critical Technology and Applied Science (ICTAS) Doctoral Scholars Fellowship, 2023, in the USA, which was awarded to the highest-caliber doctoral candidates at VT, USA. As a result, Engr. Erukainure is a Ph.D. candidate in the College of Engineering at VT – where he is a member of the Biosensor Engineering group. His doctoral research focuses on the design and manufacturing of state-of-the-art 3D-printed and micro-nanofabricated Biosensors for the detection of various diseases (such as viruses, fungi, bacteria, lameness, etc.) and biochemical substances for the improvement of health and precision agriculture.

Engr. Erukainure also received the 2020 E-JUST Scholarship in Egypt, where he earned a Master of Science degree in Mechatronics and Robotics Engineering at the Egypt-Japan University of Science and Technology (E-JUST). He also holds a Bachelor of Engineering degree in Mechanical Engineering from the Federal University of Petroleum Resources in Nigeria.

Engr. Erukainure has published several research articles in high-quality peer-reviewed journals and conferences. He also presented a research paper at the 245th ECS Meeting (2024), held in San Francisco, California, USA; and at the 2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), held in Sapporo, Japan, among others. He received a Certificate of Recognition for his exemplary service as a Judge at the QS Reimagine Education Awards 2023, held in Abu Dhabi, UAE, in association with the Wharton School of the University of Pennsylvania USA, and Khalifa University. He was invited as a Speaker at the IEEE IROS 2024 Conference workshop to speak on “The Evolving Landscape of Haptic Technologies: Research Challenges and Industry Needs.”

Biosensors, MEMS-based sensors, 3D printing/Additive manufacturing, Machine Learning, Artificial Intelligence, Micro/nanofabrication, Electrochemistry, and Precision Agriculture.

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