Fatemeh Ghoreishi

Assistant Professor,  Civil and Environmental Engineering
Assistant Professor,  Khoury College of Computer Sciences

Contact

Social Media

Office

  • 419 SN
  • 617.373.4908

Related Links

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

  • 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

Research Overview

Design and decision-making under uncertainty, machine learning and data analysis, Bayesian statistics, multidisciplinary design optimization, autonomous and cyber-physical systems

Research Centers and Institutes

Selected Publications

  • 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.

Faculty

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.”

Students

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).

Faculty

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.

Fatemeh Ghoreishi

In the Media

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.”

Faculty

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.

Faculty

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.

Fatemeh Ghoreishi

Faculty

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.

View All Related News