Parastoo Mohebi

Elle - She/her

EPFLETUEDOCEDCE

EPFLENACIICETHOS

Website: https://ETHOS.epfl.ch

Curriculum vitae


Intro


I am a visiting Ph.D. student at EPFL (École Polytechnique Fédérale de Lausanne) and a Ph.D. candidate at HKUST (the Hong Kong University of Science and Technology). My research focuses on the optimal design and control of building energy systems under uncertainty. I hold a master’s degree in energy systems engineering and dual bachelor’s degrees in physics and industrial engineering. My interdisciplinary background has enabled me to develop strong expertise in building energy modeling, stochastic optimization, and control. I have authored 11 peer-reviewed publications (Google Scholar citations: 78) and have extensive experience in simulation-driven analysis of energy systems.


Education

PhD in Civil Engineering | Hong Kong University of Science and Technology | 2023–Present (Defense scheduled 20 August 2026)
Optimal design and control of building energy systems under uncertainties
Supervisor: Prof. Zhe (Walter) Wang
Full Scholarship recipient; HKUST RedBird Academic Excellence Award (2024–25)
Visiting Ph.D. Researcher | EPFL (École Polytechnique Fédérale de Lausanne)
Supervisor: Prof. Andrew Sonta
 
M.Sc. in Energy Systems Engineering | Sharif University of Technology | 2018–2021
Modeling and optimization of long-term heat storage systems in greenhouses
Supervisor: Prof. Ramin Roshandel
Full Scholarship recipient


Dual
B.Sc. in Industrial Engineering & Physics | Amirkabir University of Technology | 2014–2018


Publications

Google Scholar Citations: 78


Peer-Reviewed Publications 

1.    Mohebi, P. & Roshandel, R. (2023). Optimal design and operation of solar energy system with heat storage for agricultural greenhouse heating. Energy Conversion and Management: X, 18, 100353. DOI

2.    Mohebi, P., Zheng, W., & Wang, Z. (2024). Comparing different parameter identification techniques for optimal control of building energy systems. Energy and Buildings, 319, 114563. DOI

3.    Mohebi, P. & Wang, Z. (2024). Chance-constraint MPC approach to optimize building energy system operation considering prediction uncertainties. In ASim Conference 2024 (Vol. 5, pp. 1265–1272). IBPSA-Asia. DOI

4.    Mohebi, P., Li, S., & Wang, Z. (2025). Chance-constrained stochastic framework for building thermal control under forecast uncertainties. Energy and Buildings, 331, 115385. DOI

5.    Mohebi, P., Hu, Z., Li, L., Golzar, F., & Wang, Z. (2026). Optimal battery sizing using stochastic programming to consider building load variation and peak demand charge. Energy Conversion and Management, 348, 120794. DOI

6.    Mohebi, P. & Wang, Z. (2025). A multi-year stochastic optimization model for battery system design and operation: addressing uncertainties alongside degradation effects. In Proceedings of Building Simulation 2025: 18th Conference of IBPSA. Brisbane, Australia: IBPSA. DOI

7.    Mohebi, P., Liu, Y., Xing, S., & Wang, Z. (2026). Stochastic model predictive control for building thermal management: A comparative analysis of scenario-based and tube-based approaches using the BOPTEST Framework. Energy, 140808. DOI

8.    Mohebi, P. & Roshandel, R. Enhancing energy efficiency and thermal comfort in residential buildings through stochastic model predictive control. Applied Thermal Engineering, 131039. DOI

9.    Zhao, L., Mohebi, P., & Wang, Z. (2025). A model-based EV driving range assessment with genetic-algorithm-optimized motor waste heat recovery strategies. Energy Use, 1, 100005. DOI

10. Li, S., Li, S., Mohebi, P., Wang, D., Ma, M. N., Liu, G., & Wang, Z. (2025). Field demonstration of model predictive control for chiller sequencing in large-scale commercial buildings. Energy and Buildings, 116021. DOI

11. Li, M., Hu, Z., Mohebi, P., Li, S., & Wang, Z. (2026). Enhancing LLM-based building data query with chain-of-thought, retrieval-augmented generation, and fine-tuning. Automation in Construction, 182, 106738. DOI


Under Review

12. Hu, Z., Mohebi, P., Chen, E., Wang, X., & Wang, Z. Optimal capacity sizing of battery energy storage systems. Journal of Energy Storage (Under review)


13. Liu, Y., Mohebi, P., Wang, Z., Lin, B., & Guo, Y. Smart predict-then-optimize-based model predictive control for thermostatically controlled loads. IEEE Transactions on Smart Grid (Under review)


Academic Leadership & Service

Conference Organization & Leadership

Session Chair: Energy Efficiency and Sustainability, Building Simulation 2025 (BS2025), Brisbane, Australia, 2025

Panel Member: Official launch event of IBPSA Women's Network, Building Simulation 2025, Brisbane, Australia, 2025

Committee Member: Asian University Alliance Academic Conference on Smart Building, Hong Kong, 2024

Peer Review (13 completed reviews)

Energy and Buildings (4 reviews) | Energy Strategy Reviews (4 reviews) | Applied Energy (2 reviews) | International Journal of Electrical Power & Energy Systems (3 reviews)


Teaching & Mentoring

Teaching Assistant | Hong Kong University of Science and Technology | 2023–Present

Modelling Systems with Uncertainties (Prof. Zhe Wang, Prof. Jize Zhang)

Computer Methods of Structural Analysis (Prof. Tianju Xue)

Teaching Assistant | Sharif University of Technology | 2018–2021

Advanced Mathematical Programming (Prof. Ramin Roshandel)

Advanced Energy Conversion (Prof. Ramin Roshandel, 2 semesters)

Solar Energy Systems (Prof. Ramin Roshandel, 2 semesters)


Presentations & Conferences

"A multi-year stochastic optimization model for battery system design and operation: addressing uncertainties alongside degradation effects," Building Simulation 2025 (IBPSA), Brisbane, August 2025

"A comprehensive stochastic optimization framework for sizing and operating PV–battery systems under uncertainty," Nexus Forum 2025, Hong Kong, May 2025

"Chance-constraint MPC approach to optimize building energy system operation considering prediction uncertainties," ASim 2024, Osaka, December 2024

"Comparing convex & non-convex parameter identification techniques for optimal control of building energy systems," Asian University Alliance Seminar, Hong Kong, June 2024

Educational Webinar Presenter: "BOPTEST — From parameter optimisation to emulator development for improved building control modelling," International Building Performance Simulation Association (IBPSA) Educational Webinar, November 2024. Link


Awards & Recognition

HKUST Research Travel Grant (September 2025) (December 2024)

HKUST Full Scholarship (2023–present)

National Elites Foundation Award (2022)

Sharif University of Technology Full Scholarship (2018–2021)


Technical Competencies

Optimization & Programming

Python (Pyomo, CVXPY, SciPy, PuLP, Pandas, NumPy, Matplotlib), MATLAB, GAMS, C++; stochastic and robust optimization, genetic algorithms, nonlinear programming, sensitivity analysis

Building Energy Modeling & Simulation

EnergyPlus, Modelica/Dymola, BOPTEST framework; building thermal dynamics, HVAC systems, hot water systems, model calibration and validation

Advanced Methods

Uncertainty quantification (Monte Carlo sampling, scenario generation); time-series forecasting and machine learning; model predictive control implementation; life-cycle assessment (SimaPro, Umberto); process simulation (ASPEN HYSYS)