Alparslan Emrah Bayrak (ebayrak)

Alparslan Emrah Bayrak

Assistant Professor

Babbio Center 514-02
(201) 216-5541

Education

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

Research

Dr. Bayrak’s research focuses on bridging computational methods and human cognition to develop human-computer collaboration architectures for the design and control of smart products and systems. He is particularly interested in developing artificial intelligence systems that can effectively collaborate with humans considering unique capabilities of humans and computational systems. His research uses methods from design, controls, game-theory and machine learning as well as human-subject experiments on virtual environments such as video games.

Institutional Service

  • 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

Professional Service

  • 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

Appointments

Assistant Professor, School of Systems and Enterprises (2019-Present) Stevens Institute of Technology

Research Scientist, Mechanical Engineering (2018-2019) Carnegie Mellon University

Postdoctoral Research Fellow, Mechanical Engineering (2015-2018) University of Michigan

Honors and Awards

Ford Best Paper Award by Design Automation Committee, 2015 ASME IDETC

Professional Societies

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

Grants, Contracts and Funds

(PI: A. E. Bayrak, Co-PI: A. Zaferiou) "NAM Catalyst Award: A multi-sensor wearable system with a personalized AI and multimodal biofeedback to improve balance of older adults at home", Source: National Academy of Medicine, $50,000 (10/2021-9/2022)
(Sub-PI: A. E. Bayrak) "Hybrid Computer Platform to Design, Guide, and Partner with Humans in the Team Problem-Solving Process", Source: DARPA, (Subaward from Carnegie Mellon University), $93,893 (6/2019-9/2021).

Selected Publications

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.; 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.; Bayrak, A. (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.; 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.; 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/.

Courses

SYS501 - Probability and Statistics for Systems Engineering
SYS625 - Fundamentals of Systems Engineering
EM/ISE357 - Elements of Operations Research
E355 - Engineering Economics