Building Energy and HVAC&R Simulation | Data-Center Thermal Management | Julia/Modelica Scientific Software | Control-Oriented System Modeling
| Address: Room 520, Building 5, No. 1001, Daxue Road, Hsinchu City, Taiwan | Email: m.gholampour@nycu.edu.tw |
| 🔗 Google Scholar | H-index: 10 | Citations: 670+ | Web links |
Professional Summary
Thermal Systems Researcher specializing in HVAC&R, heat pumps, renewable energy systems, and advanced electronics/data-center cooling. Experienced in developing validated, practical modeling tools that combine physics-based simulation, numerical methods, and data-driven techniques for industrial R&D. Proven track record in steady-state and dynamic modeling of complex thermal and energy systems using Julia, Modelica, Python, and CFD. Leverages model calibration, optimization, and physics-informed machine learning to accelerate product development and improve energy efficiency.
Technical Skills
- Data-Center and Electronics Cooling Applications: Data-center thermal management | air-side and water-side modeling | liquid cooling | cold plates | CDUs | two-phase cooling | immersion cooling | rack-level thermal analysis | heat-reuse concepts for buildings
- Building Energy, HVAC&R, and Thermal Systems: Building-energy simulation | HVAC&R component modeling | heat pumps | cooling towers | evaporative condensers | desiccant dehumidification | heat exchangers | thermal/PCM storage | waste-heat recovery | integrated energy systems
- Modeling, Simulation, and Numerical Methods: Steady-state and dynamic system modeling | CFD-based thermal-fluid analysis | ODE/BVP/DAE solving | nonlinear-system simulation | parameter identification | model calibration | sensitivity analysis | uncertainty quantification | optimization
- Control and Data-Driven Modeling: PID control | rule-based control | extremum-seeking control | PLC programming | system identification | surrogate modeling | physics-informed machine learning | PINNs | neural operators | reinforcement-learning applications for control applications
- Programming and Engineering Software: Julia / SciML | Modelica | Python | MATLAB / Simulink | C/C++ | ModelingToolkit.jl | DifferentialEquations.jl | Dyad | OpenModelica | Dymola | ANSYSFluent | EnergyPlus | TRNSYS | SolidWorks | PhysicsNeMo | GitHub-based software development
Selected Industry R&D Projects
Ongoing Projects:
- Industry Partner, Taiwan — Cold-Plate Data-Center Sizing, Waterfall-PUE, and Heat-Pump Water-Heater Simulation Software
Lead Model Developer | March 2026 – December 2026
Developing simulation software for heat-pump water-heater performance evaluation, single-phase cold-plate data-center component sizing, waterfall-PUE analysis, and system-level performance calculation under different design and operating conditions.
- Industry Partner, Taiwan — Single-Phase and Two-Phase Plate Heat Exchanger Software
Lead Model Developer | March 2026 – December 2027
Developing distributed and discretized models for single-phase and two-phase plate heat exchangers, including heat-transfer prediction, pressure-loss calculation, flow-maldistribution analysis, sizing, and off-design performance evaluation.
- Industry Partner, Taiwan — SOFC Heat-Recovery Simulation Software
Lead Model Developer | May 2026 – December 2026
Developing simulation software for SOFC heat-recovery applications, including PCM thermal storage, ORC integration, double-effect absorption chiller coupling, and system-level energy-performance evaluation.
- Industry Partner, Taiwan — Integrated Energy-System and Heat-Recovery Data-Center Modeling
Lead Model Developer | March 2026 – November 2026
Developing Modelica-based dynamic simulation models for heat-recovery data-center and integrated energy-system applications under part-load operating conditions, including component-level modeling, supervisory/local control strategies, and numerical commissioning workflows.
Selected Completed Projects:
- Industry Partner, Taiwan — Vapor-Injection Heat-Pump Water-Heater Modeling and Control
Lead Model Developer | March 2025 – December 2025
Developed dynamic simulation software for vapor-injection heat-pump water-heater systems with multi-evaporator capability, including PI-controller tuning and extremum-seeking control design; model validation showed mass- and energy-balance errors within approximately ±1–2%.
- Industry Partner, Taiwan — Internally Cooled/Heated Ionic-Liquid Desiccant Dehumidifier
Lead Model Developer | 2023 – 2025
Developed high-efficiency Julia-based simulation code for feasible-region analysis, achieving approximately 40× faster runtime than MATLAB and 800× faster runtime than SciPy, while identifying the feasible operating range of ionic-liquid mass fraction and solution temperature for dehumidification performance.
- Industry Partner, Taiwan — Condenser and Hybrid Cooling-System Simulation Software
Lead Model Developer | April 2023 – December 2024
Developed simulation software for inline aluminum flat-tube evaporative condensers, circular-copper staggered-tube evaporative condensers, and evaporative-condenser/cooling-tower integration. The tools were validated with prediction errors ranging from −6% to 8% and used for performance evaluation and thermal-hydraulic analysis.
- Industry Partner, Taiwan — Thermal Management of Air-Cooled Data-Center Racks
Thermal Simulation Developer | October 2024 – December 2025
Supported experimental testing, verification, and physics-informed neural-network prediction for air-cooled data-center racks; reduced worst-case prediction error from 22.8% to 9.15% across 30 operating conditions.
- Industry Partner, Taiwan — Water-Side and Air-Side Physical Modeling of Data Centers
Thermal Simulation Developer | September 2023 – September 2024
Supported physics-informed neural-network workflows for water-side and air-side data-center modeling; improved velocity-field RMSE by approximately 78% and achieved about 340× faster simulation than CFD.
- Industry Partner, Taiwan — Two-Phase Immersion Cooling with Physics-Informed Neural Networks
Thermal Simulation Developer | July 2024 – July 2025
Supported hybrid PINN-based modeling workflows for two-phase immersion cooling, blending physics-based losses with a VOF-aware sparse subset of CFD labels (~20% of fluid-domain points per snapshot); achieved wall-superheat prediction within ~2.3% and approximately 1.5 × 105× faster inference than transient CFD.
Professional Experience
- Postdoctoral Researcher / Thermal Systems R&D Developer
Department of Mechanical Engineering, NYCU, CC-Wang Lab, Taiwan | 2023–Present
• Develop physics-based and data-driven simulation tools for HVAC&R systems, heat pumps, heat exchangers, and data-center thermal management.
• Contribute to industry-linked R&D projects involving heat-pump water heaters, evaporative condensers, desiccant dehumidification, liquid-cooled data centers, and two-phase immersion cooling.
• Build validated models for design, sizing, performance prediction, control-oriented simulation, and design-space exploration.
• Apply Julia, Modelica, Python, CFD, uncertainty analysis, optimization, and physics-informed machine learning to practical thermal-system problems.
- Assistant Professor and Head of Mechanical Engineering Department
Islamic Azad University, Bushehr, Iran | 2016–2023
• Led teaching, research, supervision, and departmental coordination in mechanical engineering.
• Supervised and advised undergraduate and graduate projects in HVAC, control systems, solar energy, PCM applications, and heat-exchanger design.
• Developed numerical and experimental research projects in thermal systems, renewable energy, and building-energy applications.
• Managed academic programs, student supervision, laboratory activities, and technical evaluation work.
Education
- PhD, Mechanical Engineering — Energy Conversion
Shahid Bahonar University of Kerman | 2011–2015
Dissertation: Thermodynamic and Performance Optimization of Unglazed Transpired Solar Collectors Integrated with Photovoltaic Panels
• Developed and experimentally validated a numerical model for a hybrid UTSC-PV thermal system.
• Used CFD to develop a heat-transfer correlation between the PV panel and absorber plate.
• Conducted sensitivity and exergy analyses to identify key performance-driving parameters.
• Integrated the new correlation into a computationally efficient thermodynamic simulation tool.
- MSc, Mechanical Engineering — Energy Conversion
Shahid Bahonar University of Kerman | 2009–2011
- BSc, Mechanical Engineering
Shahid Bahonar University of Kerman | 2004–2009
Selected Honors & Awards
• International Postdoctoral Fellowship — NSTC Taiwan
• Best Paper Award — ISTP-34 Symposium
• Best Researcher Award — PhD Program, 2014
• Top MSc Graduate — Ranked 1st in the department
Academic and Professional Service
• Reviewer for international journals including Applied Energy, Building and Environment, International Communications in Heat and Mass Transfer, Journal of Building Engineering, Engineering Applications of Artificial Intelligence, Renewable Energy, Sustainable Energy Technologies and Assessments, and Energies.
• Technical reviewer for patent-related evaluations at the Science & Technology Park, Bushehr, Iran.
• Supervised/advised 1 PhD student and 40+ MSc, MEng, and undergraduate students on experimental and numerical projects in HVAC, control systems, solar energy, PCM applications, and heat-exchanger design.
Publications
Selected Journal Papers:
Selected Conference Papers: