Anthony Pinar

Anthony (Tony) Pinar is an Associate Teaching Professor in the Department of Electrical and Computer Engineering at Michigan Technological University, where he also serves as the Senior Design Coordinator. He earned his PhD, MS, and BS in Electrical Engineering from the same institution in 2017, 2014, and 2011, respectively.

Education:

• PhD, Electrical Engineering, Michigan Technological University
• MS, Electrical Engineering, Michigan Technological University
• BS, Electrical Engineering, Michigan Technological University

Dr. Pinar's research lies at the intersection of machine learning, signal and image processing, data fusion, and electronic design. His work emphasizes explainable AI, particularly through the use of fuzzy integrals and Choquet integral-based models, with applications in explosive hazard detection using ground-penetrating radar and autonomous underwater vehicles. He has contributed significantly to decision-level fusion, multiple kernel learning, and robust classification under limited data.

His recent publications reflect a strong trend toward interpretable machine learning models, especially in safety-critical domains. He integrates fuzzy measures, feature fusion, and nonlinear aggregation operators to improve both performance and transparency in AI systems. Applications span defense (hazard detection), marine robotics (underwater gliders), and sensor networks.

Dr. Pinar has no listed scientific awards in the provided text.

He advises senior design projects and mentors students in hands-on engineering, particularly through the development of the ROUGHIE (Research Oriented Underwater Glider for Hands-on Investigative Engineering). Prior to academia, he worked as an electrical design engineer at GE Aviation, designing test equipment for avionic systems, and continues to consult independently on engineering problems. He has secured research contributions through collaborations but no specific grants are mentioned.

His work is closely aligned with research groups focusing on intelligent systems, fusion algorithms, and autonomous platforms, particularly in collaboration with researchers such as T.C. Havens, D.T. Anderson, and N. Mahmoudian.