About the Authors

Taner Onsay, PhD

Taner Onsay is a mechanical engineer, educator, and former automotive engineering leader whose career spans industry, research, and engineering education.

In the automotive industry, he spent 28 years in a range of technical and leadership roles, including Engineering Specialist, Senior Automotive Consultant, Noise Control - Wind Noise Supervisor, and Manager of Noise, Vibration and Harshness (NVH) testing, development, and laboratory operations.

In parallel, he has taught a variety of undergraduate and graduate engineering courses at the University of Michigan–Dearborn for more than 20 years, where he currently serves as a Professor of Practice.

His work has encompassed engineering dynamics, vibration and acoustics, computational modeling, vehicle development, engineering experimentation, and engineering education.

His current work focuses on AI-Augmented Engineering and Conversational Engineering—integrating engineering judgment, physical modeling, computation, validation, and AI collaboration. He is developing and implementing these approaches in engineering dynamics and computational and numerical-methods education through AI First Engineering.

Sebnem Onsay

Sebnem Onsay is a computer science educator and curriculum developer with more than two decades of university teaching experience. She is an Academic Specialist in the Department of Computer Science and Engineering at Michigan State University, where her teaching has included programming, algorithms, data structures, and computational problem solving.

Her work emphasizes evidence-based teaching, active learning, computational thinking, and hands-on problem solving. Her background also includes software development and engineering computation, including earlier work on object-oriented software for Statistical Energy Analysis.

Her current work focuses on AI-assisted programming, computational reasoning, AI-Augmented Engineering education, and preparing students to work effectively with AI while maintaining understanding, critical evaluation, validation, and human responsibility. Through AI First Engineering, she contributes to learning-platform development, AI-assisted engineering education, and Conversational Engineering.