Alparslan Emrah Bayrak

• PhD (2015) University of Michigan (Mechanical Engineering)
• MS (2013) University of Michigan (Mechanical Engineering)
• BS (2011) Sabanci University (Mechatronics Engineering)

• Junior Faculty Board of Representatives Member
• Undergraduate Studies Committee Member
• SSE PhD Program Committee Member
• SSE Undergraduate Academic Ambassador Member
• VPRI Search Committee Member
• SSE Graduate Student Awards Chair
• SSE Doctoral Research Symposium Chair
• SSE Dean Research Incentive Award Member
• SSE Graduate Research Awards Member

• ASME Design Automation Committee Conference Session Organizer
• ASME Design Automation Committee (DAC) Conference Session Organizer
• 17th Annual Conference on Systems Engineering Research Workshop Organizer
• ASME Design Automation Committee (DAC) Review Coordinator

• ASME – American Society of Mechanical Engineers Member
• Design Society Member

Book Chapter

1. Bayrak, A. (2021). Trust Considerations in the Coordination of Computational Design Teams. A New Perspective of Cultural DNA. KAIST Research Series (1 ed.). Springer Singapore.
   https://www.springer.com/gp/book/9789811577062.

Conference Proceeding

1. Rahman, M. H.; Bayrak, A.; Sha, Z. (2022). A Reinforcement Learning Approach to Predicting Human Design Actions Using a Data-Driven Reward Formulation. International Design Conference – Design 2022 (pp. 1709-1718). Dubrovnik: Design Society.
   https://doi.org/10.1017/pds.2022.173.
2. Wu, H.; Ghadami, A.; Bayrak, A.; Smereka, J.; Epureanu, B. (2022). Task Allocation with Load Management in Multi-Agent Teams. 2022 International Conference on Robotics and Automation (ICRA) (pp. 8823-8830). Philadelphia, PA: IEEE.
   https://doi.org/10.1109/ICRA46639.2022.9811374.
3. Lotfalian Saremi, M.; Bayrak, A. (2021). A Survey of Important Factors in Human - Artificial Intelligence Trust for Engineering System Design. Proceedings of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (DETC2021-70550 ed.). Virtual: ASME.
4. Arnold, R. D.; Wade, J.; Bayrak, A. (2021). Systems Thinking Assessment: A Method Through Computer Simulation. Proceedings of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (DETC2021-68180 ed.). Virtual: ASME.
5. Bayrak, A. N.; McComb, C.; Cagan, J.; Kotovsky, K. (2019). A Differential Game Approach to Dynamic Competitive Decisions Toward Human-Computer Collaboration. Proceedings of the ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (DETC2019-97619 ed., pp. V007T06A017). Anaheim, CA: ASME.
   https://doi.org/10.1115/DETC2019-97619.
6. Grogan, P. N.; Bayrak, A. N. (2018). Operational and Strategic Decisions in Engineering Design Games. 2018 ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference. ASME.

Journal Article

1. Wu, H.; Ghadami, A.; Bayrak, A.; Smereka, J.; Epureanu, B. (2021). Impact of Heterogeneity and Risk Aversion on Task Allocation in Multi-Agent Teams. Robotics and Automation Letters (4 ed., vol. 6, pp. 7065 - 7072). IEEE.
   https://doi.org/10.1109/LRA.2021.3097259.
2. Bayrak, A. N.; McComb, C.; Cagan, J.; Kotovsky, K. (2021). A Strategic Decision-making Architecture Toward Hybrid Teams for Dynamic Competitive Problems. Decision Support Systems (vol. 144, pp. 113490). Elsevier.
   https://doi.org/10.1016/j.dss.2020.113490.
3. Bayrak, A.; Sha, Z. (2020). Integrating Sequence Learning and Game Theory to Predict Design Decisions under Competition. Journal of Mechanical Design (5 ed., vol. 143, pp. 051401). New York, NY: ASME.
   https://doi.org/10.1115/1.4048222.
4. Bayrak, A.; Gorsich, D.; Epureanu, B. I. (2020). Future of Autonomous High-Mobility Military Systems. SAE International Journal of Connected and Automated Vehicles (3 ed., vol. 3, pp. 205-215). SAE.
   https://doi.org/10.4271/12-03-03-0016.
5. Egilmez, M. M.; Park, J. M.; Bayrak, A. N.; Epureanu, B. I.; Papalambros, P. Y. (2020). Adaptability of modular vehicle fleets to changing supply route characteristics. Journal of Defense Modeling and Simulation: Applications, Methodology, Technology (4 ed., vol. 17, pp. 327-338). Thousand Oaks, CA: SAGE.
   https://doi.org/10.1177/1548512919874127.
6. Asan, O.; Bayrak, A.; Choudhury, A. (2020). Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians. Journal of Medical Internet Research (6 ed., vol. 22, pp. e15154). Toronto, ON: JMIR Publications.
   https://www.jmir.org/2020/6/e15154/.