Artificial intelligence and human trust in healthcare: focus on clinicians O Asan, AE Bayrak, A Choudhury Journal of medical Internet research 22 (6), e15154, 2020 | 611 | 2020 |
Decomposition-based design optimization of hybrid electric powertrain architectures: Simultaneous configuration and sizing design AE Bayrak, N Kang, PY Papalambros Journal of Mechanical Design 138 (7), 071405, 2016 | 87 | 2016 |
Electric vehicle design optimization: Integration of a high-fidelity interior-permanent-magnet motor model K Ahn, AE Bayrak, PY Papalambros IEEE Transactions on Vehicular Technology 64 (9), 3870-3877, 2014 | 78 | 2014 |
Design of hybrid-electric vehicle architectures using auto-generation of feasible driving modes AE Bayrak, Y Ren, PY Papalambros International Design Engineering Technical Conferences and Computers and …, 2013 | 74 | 2013 |
Topology Generation for Hybrid Electric Vehicle Architecture Design AE Bayrak, Y Ren, PY Papalambros Journal of Mechanical Design 138 (8), 081401, 2016 | 70 | 2016 |
Ecoracer: Game-based optimal electric vehicle design and driver control using human players Y Ren, AE Bayrak, PY Papalambros Journal of Mechanical Design 138 (6), 061407, 2016 | 46 | 2016 |
Real-time teaming of multiple reconfigurable manufacturing systems X Li, AE Bayrak, BI Epureanu, Y Koren CIRP Annals 67 (1), 437-440, 2018 | 34 | 2018 |
A strategic decision-making architecture toward hybrid teams for dynamic competitive problems AE Bayrak, C McComb, J Cagan, K Kotovsky Decision Support Systems 144, 113490, 2021 | 27 | 2021 |
Robustness and Real Options for Vehicle Design and Investment Decisions under Gas Price and Regulatory Uncertainties N Kang, AE Bayrak, PY Papalambros Journal of Mechanical Design, 2018 | 26 | 2018 |
Topology Considerations in Hybrid Electric Vehicle Powertrain Architecture Design AE Bayrak University of Michigan, 2015 | 26 | 2015 |
Optimal dual-mode hybrid electric vehicle powertrain architecture design for a variety of loading scenarios AE Bayrak, Y Ren, PY Papalambros International design engineering technical conferences and computers and …, 2014 | 26 | 2014 |
Impact of heterogeneity and risk aversion on task allocation in multi-agent teams H Wu, A Ghadami, AE Bayrak, JM Smereka, BI Epureanu IEEE Robotics and Automation Letters 6 (4), 7065-7072, 2021 | 24 | 2021 |
Multiobjective optimization of modular design concepts for a collection of interacting systems AE Bayrak, AX Collopy, PY Papalambros, BI Epureanu Structural and Multidisciplinary Optimization 57 (1), 83-94, 2018 | 18 | 2018 |
A real options approach to hybrid electric vehicle architecture design for flexibility N Kang, AE Bayrak, PY Papalambros International Design Engineering Technical Conferences and Computers and …, 2016 | 16 | 2016 |
Integrating sequence learning and game theory to predict design decisions under competition AE Bayrak, Z Sha Journal of Mechanical Design 143 (5), 051401, 2021 | 15 | 2021 |
A system of systems approach to the strategic feasibility of modular vehicle fleets AE Bayrak, MM Egilmez, H Kaung, L Xingyu, JM Park, E Umpfenbach, ... IEEE Transactions on Systems Man and Cybernetics: Systems, 1-13, 2018 | 15 | 2018 |
An integrated design approach for evaluating the effectiveness and cost of a fleet K D’Souza, AE Bayrak, N Kang, H Wang, B Altin, K Barton, J Hu, ... The Journal of Defense Modeling and Simulation: Applications, Methodology …, 2016 | 12* | 2016 |
Task allocation with load management in multi-agent teams H Wu, A Ghadami, AE Bayrak, JM Smereka, BI Epureanu 2022 International Conference on Robotics and Automation (ICRA), 8823-8830, 2022 | 9 | 2022 |
Evaluating emergent coordination in multi-agent task allocation through causal inference and sub-team identification H Wu, A Ghadami, AE Bayrak, JM Smereka, BI Epureanu IEEE Robotics and Automation Letters 8 (2), 728-735, 2022 | 7 | 2022 |
A Computational Concept Generation Method for a Modular Vehicle Fleet Design AE Bayrak, AX Collopy, BI Epureanu, PY Papalambros 2016 Annual IEEE Systems Conference, 1-8, 2016 | 7 | 2016 |