Fatemeh Ghoreishi
Assistant Professor,
Civil and Environmental Engineering
Assistant Professor,
Khoury College of Computer Sciences
Contact
- f.ghoreishi@northeastern.edu
- 400 Snell Engineering
360 Huntington Avenue
Boston, Massachusetts 02115
Social Media
Office
- 419 SN
- 617.373.4908
Research Focus
Design and decision-making under uncertainty, machine learning and data analysis, Bayesian statistics, multidisciplinary design optimization, autonomous and cyber-physical systems
Education
- Ph.D., Mechanical Engineering (Minor in Applied Statistics), Texas A&M University, 2019
- M.Sc., Mechanical Engineering, Texas A&M University, 2016
- M.Sc., Biomedical Engineering, Iran University of Science & Technology, 2014
- B.Sc., Mechanical Engineering, University of Tehran, 2012
Honors & Awards
- Elevated to the Grade of IEEE Senior Member, 2025
- Conference Best Paper Finalist Award at the 2025 AIAA SciTech
- Conference Best Paper Award at the Modeling, Estimation, and Control Conference (MECC 2024)
- Rising Stars in Mechanical Engineering at the University of California, Berkeley, 2020
- Rising Stars in Computational and Data Sciences, Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin, 2019
Professional Affiliations
- Senior Editor and Associate Editor, IEEE Transactions on Neural Networks and Learning Systems
- Associate Editor, IEEE Transactions on Intelligent Transportation Systems
- Corresponding Member, ASCE Artificial Intelligence in Transportation Committee
- Institute of Electrical and Electronics Engineers (IEEE)
- Association for Computing Machinery (ACM)
- American Society of Civil Engineers (ASCE)
Research Overview
Design and decision-making under uncertainty, machine learning and data analysis, Bayesian statistics, multidisciplinary design optimization, autonomous and cyber-physical systems
Selected Research Projects
Research Centers and Institutes
Department Research Areas
Selected Publications
- N. Asadi, and S. F. Ghoreishi. “Efficient Learning of Uncertainty Distributions in Coupled Multidisciplinary Systems through Sensory Data.” IET Cyber-Physical Systems: Theory & Applications, 2025.
- N. Asadi, and S. F. Ghoreishi. “Dynamic Sensor Selection for Efficient Monitoring of Coupled Multidisciplinary Systems.” ASME Journal of Computing and Information Science in Engineering (JCISE), 2024.
- M. Emamifar, and S. F. Ghoreishi. “Physics-Informed Particle-Based Reinforcement Learning for Autonomy in Signalized Intersections.” International Journal of Intelligent Transportation Systems Research, 2024.
- M. Emamifar, and S. F. Ghoreishi. “Uncertainty-Aware Reinforcement Learning for Safe Control of Autonomous Vehicles in Signalized Intersections.” IEEE Conference on Artificial Intelligence (IEEE CAI), 2023.
- N. Asadi, and S. F. Ghoreishi. “Bayesian State Estimation in Partially-Observed Dynamic Multidisciplinary Systems.” Frontiers in Aerospace Engineering – Intelligent Aerospace Systems, 2022.
- S. F. Ghoreishi, R. D. Sochol, D. Gandhi, A. Krieger, and M. Fuge. “Physics-Informed Modeling and Control of Multi-Actuator Soft Catheter Robots.” Frontiers in Robotics and AI, 2022.
- S. F. Ghoreishi, R. D. Sochol, D. Gandhi, A. Krieger, and M. Fuge. “Bayesian Optimization for Design of Multi-Actuator Soft Catheter Robots.” IEEE Transactions on Medical Robotics and Bionics, 2021.
- S. F. Ghoreishi, and M. Imani. “Bayesian Surrogate Learning for Uncertainty Analysis of Coupled Multidisciplinary Systems.” ASME Journal of Computing and Information Science in Engineering, 2021.
- S. F. Ghoreishi, and M. Imani. “Bayesian Optimization for Efficient Design of Uncertain Coupled Multidisciplinary Systems.” American Control Conference (ACC), IEEE, 2020.
- S. F. Ghoreishi, A. Molkeri, R. Arróyave, D. Allaire, and A. Srivastava. “Efficient Use of Multiple Information Sources in Material Design.” Acta Materialia, 2019.
- S. F. Ghoreishi, S. Friedman, and D. L. Allaire. “Adaptive Dimensionality Reduction for Fast Sequential Optimization with Gaussian Processes.” ASME Journal of Mechanical Design, 2019.
- S. F. Ghoreishi, and D. Allaire. “Multi-Information Source Constrained Bayesian Optimization.” Structural and Multidisciplinary Optimization, 2019.
Jan 13, 2025
PhD Student Receives Best Paper Finalist Award at 2025 AIAA SciTech
Negar Asadi, PhD ’26, interdisciplinary engineering, under the supervision of CEE/Khoury Assistant Professor Fatemeh Ghoreishi, received the Best Paper Finalist Award at the 2025 AIAA SciTech Forum.
Dec 14, 2024
Using AI for Disaster Response Research
CEE/Khoury Assistant Professor Fatemeh Ghoreishi, in collaboration with the University of Utah and the University of Michigan Ann Arbor, was awarded a $900,000 grant from the U.S. Army for the project, “Interactive Human-Agent Teaming Via Multiple Feedback Types,” which aims to develop advanced machine learning and optimization techniques to provide real-time guidance and recommendations for human teams operating in disaster scenarios.
Nov 06, 2024
Ghoreishi and Asadi Received the Conference Best Paper Award at MECC 2024
CEE/Khoury Assistant Professor Fatemeh Ghoreishi and her interdisciplinary PhD student, Negar Asadi, PhD’27, received the Conference Best Paper Award at the 2024 Modeling, Estimation, and Control Conference (MECC 2024) for their paper, “Active Learning for Efficient Data Acquisition in Coupled Multidisciplinary Systems.”
Sep 03, 2024
Undergraduate Students Publish Research at 2024 IEEE MIT URTC
Ise Okhiria, KCS ’25, and Alyssa Lee, S ’25, who are recipients of the Fall 2023 PEAK Experiences Awards and advised by CEE/Khoury Assistant Professor Fatemeh Ghoreishi, will present the results of their project in a publication at the 2024 IEEE MIT Undergraduate Research Technology Conference (URTC).
Mar 19, 2024
Ghoreishi Receives U.S. Army Grant for Advancing Artificial Intelligence Research
CEE/Khoury Assistant Professor Fatemeh Ghoreishi received a $60,000 grant from the U.S. Army for “BRITE: Bayesian Inference and Preference Learning for Unknown and Time-Sensitive Environments,” to further research on AI systems in unpredictable environments.
Nov 20, 2023
New Tool for Building and Fixing Roads and Bridges: Artificial Intelligence
CEE/Khoury Assistant Professor Fatemeh Ghoreishi was featured in the New York Times article “New Tool for Building and Fixing Roads and Bridges: Artificial Intelligence.”
Sep 15, 2023
Fall 2023 PEAK Experiences Awardees for Undergrad Research
Several engineering and science students mentored by COE faculty are recipients of Fall 2023 PEAK Experiences Awards from Northeastern’s Office of Undergraduate Research and Fellowships.
Apr 27, 2023
FY24 TIER 1 Research Development Award Recipients
Twelve COE faculty and affiliates were recipients of Northeastern’s FY24 TIER 1 Interdisciplinary Research Seed Grants provided by the Research Development department for 11 different projects.
Aug 18, 2021
New Faculty Spotlight: Fatemeh Ghoreishi
Fatemeh Ghoreishi joins the Civil and Environmental Engineering department in August 2021 as an Assistant Professor with a joint appointment in Khoury College of Computer Sciences.