Faculty Research

Architecture

Yong Huang, AIA, LEED AP
  1. Museum As Living Community (Sept  2023) Published and presented: the 16th International Conference on the Inclusive Museum, Vancouver       
  2. Intervention of Human Scale in Evolving Contemporary Urban Public Spaces (Aug  2023) Published and presented: EAEA 2023 International Conference, Royal Danish Academy
  3. Timber Nest (Apr  2023) Selected and presented: ARCC 2023 International Conference
  4. Celebrating Forces of Nature: Envisioning A Floating Community (Apr  2023) Selected and presented: ARCC 2023 International Conference
  5. Hybrid Mass Timber + Additive Construction: Projecting an Urbanistic Building System for Social Housing (Feb  2023) The Plan Journal, Volume 7/2022 - Issue 2 (doi: https://www.doi.org/10.15274/tpj.2022.07.02.15)
  6. Multiplicity of Drawing as Reading and Projecting (Sept  2022) Published and presented: The 2022 International In-Drawing Conference, Bureau d’etude de pratiques indisciplinees  Ecole de Design, UQAM, Montreal, CA
  7. Topological Transmutation of the Urban Heat Island (Jul 2022) The Plan Journal, Volume 7/2022 - Issue 1 (doi: https://www.doi.org/10.15274/tpj.2022.07.01.10)
  8. City On-The-Go (Sept 2019) Published and presented: ACSA Conference 2019, Stanford University 

Aviation

Jacob 'Joshua' Shila, Ph.D.

Journal Publications

  1. Shila, J. Awareness and Preparedness Levels of Public-Use NPIAS Airports Toward Integration of AAM Technologies – A Case Study of Ohio (Manuscript Submitted)
  2. Shila, J. Techno-Economic Analysis of Pennycress-Derived Jet Fuel: Utilization of Bio-Char By-Products as Means to Optimize the Investors Returns (Manuscript submitted)
  3. Shila, J. & Johnson, M. A Life Cycle Sustainability Assessment Framework for More-Electric Propulsion Aircraft Technologies: A Conceptual Framework (Manuscript submitted to Environment, Development and Sustainability)
  4. Shila, J., & Johnson, M. (2021). Techno-Economic Analysis of Camelina-Derived Hydroprocessed Renewable Jet Fuel Within the US Context, Journal of Applied Energy, Volume 287, https://doi.org/10.1016/j.apenergy.2021.116525

Robotics Engineering

Mohammed Abouheaf, Ph.D.

Publications

  1. Mailhot, N., Abouheaf, M., & Spinello, D. (2023). Model-Free Force Control of Cable-Driven Parallel Manipulators for Weight-Shift Aircraft Actuation. IEEE Transactions on Instrumentation and Measurement, 73, 1-8. doi: 10.1109/TIM.2023.3346524
  2. Abouheaf, M., Hashim, H., Mayyas, M. & Vamvoudakis, k. (2023). An Online Model-Following Projection Mechanism Using Reinforcement Learning. IEEE Transactions on Automatic Control, 68(11), 6959-6966. doi: 10.1109/TAC.2023.3243165
  3. Abouheaf, M., Boase, D., Gueaieb, W., Spinello, D., & Al-Sharhan, S. (2023). Real-time measurement-driven reinforcement learning control approach for uncertain nonlinear systems. Engineering Applications of Artificial Intelligence, 122, 106029. https://doi.org/10.1016/j.engappai.2023.106029
  4. Abouheaf, M., Vamvoudakis, K. G., Mayyas, M. A., & Hashim, H. A. (2023). An Observer-Based Reinforcement Learning Solution for Model-Following Problems. 2023 62nd IEEE Conference on Decision and Control (CDC) (pp. 7976-7981). doi: 10.1109/CDC49753.2023.10384059
  5. Hashim, H. A., Eltoukhy, A. E., Vamvoudakis, K. G., & Abouheaf, M. (2023). Nonlinear Deterministic Observer for Inertial Navigation using Ultra-wideband and IMU Sensor Fusion. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 3085-3090). doi: 10.1109/IROS55552.2023.10342083
  6. Kouritem, S. A., Mahmoud, M., Nahas, N., Abouheaf, M., & Saleh, A. M. (2023). A self-adjusting multi-objective control approach for quadrotors. Alexandria Engineering Journal, 76, 543-556. https://doi.org/10.1016/j.aej.2023.06.050
  7. Kouritem, S. A., Abouheaf, M., Nahas, N., & Hassan, M. (2022). A multi-objective optimization design of industrial robot arms. Alexandria Engineering Journal, 61(12), 12847-12867. https://doi.org/10.1016/j.aej.2022.06.052
  8. Nahas, N., Abouheaf, M., Darghouth, M. N., & Sharaf, A. (2021). A multi-objective AVR-LFC optimization scheme for multi-area power systems. Electric Power Systems Research, 200, 107467. https://doi.org/10.1016/j.epsr.2021.107467
  9. Hashim, H. A., Abouheaf, M., & Vamvoudakis, K. G. (2021). Neural-adaptive stochastic attitude filter on SO (3). IEEE Control Systems Letters, 6, 1549-1554. doi: 10.1109/LCSYS.2021.3123227
  10. Hashim, H. A., Abouheaf, M., & Abido, M. A. (2021). Geometric stochastic filter with guaranteed performance for autonomous navigation based on IMU and feature sensor fusion. Control Engineering Practice, 116, 104926. https://doi.org/10.1016/j.conengprac.2021.104926
  11. Qu, S., Abouheaf, M., Gueaieb, W., & Spinello, D. (2021, May). An adaptive fuzzy reinforcement learning cooperative approach for the autonomous control of flock systems. In 2021 IEEE International Conference on Robotics and Automation (ICRA) (pp. 8927-8933). doi: 10.1109/ICRA48506.2021.9561204
  12. Abouheaf, M., Mailhot, N., Gueaieb, W., & Spinello, D. (2020). Guidance Mechanism for Flexible-Wing Aircraft Using Measurement-Interfaced Machine-Learning Platform. IEEE Transactions on Instrumentation and Measurement, 69(7), 4637-4648. doi: 10.1109/TIM.2020.2985553.
  13. Abouheaf, M., Mahmoud, M. S., & Gueaieb, W. (2020). Integral reinforcement learning solutions for a synchronisation system with constrained policies. IET Control Theory & Applications, 14(12), 1599-1611. https://doi.org/10.1049/iet-cta.2019.0397
  14. Abouheaf, M., Gueaieb, W., & Lewis, F. (2020). Online model‐free reinforcement learning for the automatic control of a flexible wing aircraft. IET Control Theory & Applications, 14(1), 73-84. https://doi.org/10.1049/iet-cta.2018.6163
  15. Nahas, N., Abouheaf, M., Sharaf, A., & Gueaieb, W.  (2019). A Self-Adjusting Adaptive AVR-LFC Scheme for Synchronous Generators. IEEE Transactions on Power Systems, 34(6), 5073-5075. doi: 10.1109/TPWRS.2019.2920782.
  16. Abouheaf, M., Gueaieb, W., & Sharaf, A. (2019). Load frequency regulation for multi‐area power system using integral reinforcement learning. IET Generation, Transmission & Distribution, 13(19), 4311-4323. https://doi.org/10.1049/iet-gtd.2019.0218
  17. Abouheaf, M., Gueaieb, W., & Sharaf, A. (2018). Model‐free adaptive learning control scheme for wind turbines with doubly fed induction generators. IET Renewable Power Generation, 12(14), 1675-1686. https://doi.org/10.1049/iet-rpg.2018.5353
  18. Abouheaf, M., Lewis, F. L., Mahmoud, M. S., & Mikulski, D. G. (2015). Discrete-time dynamic graphical games: Model-free reinforcement learning solution. Control Theory and Technology, 13, 55-69. https://doi.org/10.1007/s11768-015-3203-x (Best Paper Award 2016)
  19. Abouheaf, M., Lewis, F. L., Vamvoudakis, K. G., Haesaert, S., & Babuska, R. (2014). Multi-agent discrete-time graphical games and reinforcement learning solutions. Automatica, 50(12), 3038-3053. https://doi.org/10.1016/j.automatica.2014.10.047
  20. Abouheaf, M., Lee, W. J., & Lewis, F. L. (2013). Dynamic formulation and approximation methods to solve economic dispatch problems. IET Generation, Transmission & Distribution, 7(8), 866-873. https://doi.org/10.1049/iet-gtd.2012.0397

Updated: 07/01/2024 03:46PM