Hi, this is Sam Mousavi!
Scientific Software Development Reservoir Engineering Process Engineering Machine Learning
Welcome to my website.
I am a Process Development Engineer and Scientific Software
Developer working at the intersection of computational engineering,
industrial R&D, and process modelling. I develop scientific ideas into
custom C++, Python, and Matlab tools, with experience
in liquid-liquid extraction, multiphase transport, surrogate modelling,
and data-driven optimization.
NEWS
>> [May. 2026] Closing presentation of the Ph.D. project at Neste headquarters in Espoo.
>> [Sep. 2025] Returned as Teaching Assistant for CHEM-E7130 Process Modeling at Aalto University.
>> [Sep. 2025] Presented a poster at ECCE & ECAB 2025 on dynamic grid refinement for liquid-liquid settler population balance modeling.
>> [Jul. 2025] Published research on modified Murphree efficiency for liquid-liquid extraction.
>> [Jun. 2025] Gave an oral presentation at ESCAPE 2025 in Ghent on realistic stage-efficiency modeling for liquid-liquid extraction.
>> [May. 2025] Published a mathematical framework for combined liquid-liquid extraction and phase separation in surfactant-containing systems.
>> [Dec. 2024] Published population-balance modelling work on oil/water emulsion separation in batch systems.
>> [Oct. 2024] Supported CHEM-E7160 Fluid Flow in Process Units at Aalto University.
>> [Sep. 2024] Served as Teaching Assistant for CHEM-E7130 Process Modeling at Aalto University.
>> [Sep. 2024] Supervised a master's thesis on surfactant effects on dispersion DSD and surface tension.
>> [Mar. 2025] Gave an oral presentation on liquid-liquid extraction at Neste headquarters in Espoo.
>> [Jan. 2024] Published machine-learned surrogate models for efficient oil well placement under operational constraints.
>> [Sep. 2023] Gave an oral presentation at ECCE & ECAB 2023 in Berlin on liquid-liquid phase separation modelling using population balance.
>> [Oct. 2022] Started the Neste-funded industrial Ph.D. project and joined Aalto University as a Doctoral Researcher.
>> [Jun. 2021] Published work on 3D-printed microfluidic networks to study fluid flow in rocks.
>> [May. 2021] Presented a poster at InterPore 2021 on an integrated workflow for optimal well placement using machine learning methods.
>> [Nov. 2020] Published conference work on optimal well placement using machine learning methods.
>> [Oct. 2020] Presented at SPE Norway Subsurface 2020 on optimal well placement using machine learning methods.
>> [Jul. 2020] Completed the M.Sc. in Petroleum Engineering at Tarbiat Modares University.
>> [Dec. 2019] Started as SharePoint & Power BI Developer at MAPSA.
>> [Feb. 2018] Joined Permlab Research Center, TMU, as a Research Assistant working on microfluidics and well-placement optimization.
>> [Jun. 2017] Completed the B.Sc. in Petroleum Engineering at Shiraz University.
>> [Jan. 2017] Joined the EOR Research Center at Shiraz University as a Research Assistant.
Skills [Software & Scientific Computing]
- C++
- Python
- Matlab
- Bash
- Git
- GitHub
- Linux
- HPC
- VS Code
- PyCharm
- Docker
- nginx
Skills [Modelling & Process Engineering]
- OpenFOAM
- Aspen Plus
- Aspen Custom Modeler
- SLB Eclipse
- Ansys Fluent
- COMSOL
- Population Balance Modelling
- Transport Phenomena
- Process Design
- Mass & Heat Transfer
- Phase Behavior
- Equipment Sizing
Skills [Data, ML & Reporting]
- NumPy
- Pandas
- Matplotlib
- Jupyter
- scikit-learn
- Machine Learning
- Power BI
- Power Query
- DAX
- SSRS
- LaTeX
- N8N
EXPERIENCES
Aalto University, Finland [2022 - Present]
Doctoral Researcher | Liquid-liquid extraction modelling, PBM-CFD, Aspen ACM, and custom C++ scientific software.
MAPSA, Iran [2019 - 2022]
SharePoint & Power BI Developer | Reporting automation, Power Query, DAX, SSRS, and end-user support.
Permlab Research Center, TMU [2018 - 2019]
Research Assistant | 3D-printed microfluidics, CFD validation, reservoir workflows, and ML-based well-placement studies.
EOR Research Center, Shiraz University [2017 - 2018]
Research Assistant | Experimental studies on nanoparticle effects, interfacial tension, and heavy-oil/brine systems.
Publications
Stage Efficiency Study [2025]
Redefining Stage Efficiency in Liquid-Liquid Extraction: Development and Application of a Modified Murphree Efficiency
- Liquid-Liquid Extraction
- Stage Efficiency
- Mass Transfer
IECR [2025]
Mathematical Framework for Combined Modeling of Liquid-Liquid Extraction and Phase Separation in Surfactant-Containing Systems
- Extraction Modelling
- Phase Separation
- Surfactant Systems
Chemical Engineering Science [2024]
Modeling oil/water emulsion separation in batch systems with population balances in the presence of surfactant
- Population Balances
- Emulsion Separation
- Surfactants
SPE Journal [2023]
Machine-Learned Surrogate Models for Efficient Oil Well Placement Under Operational Reservoir Constraints
- Surrogate Models
- Well Placement
- Optimization
OGST [2021]
Evaluation of 3D printed microfluidic networks to study fluid flow in rocks
- Microfluidics
- CT-Based Workflow
- Flow in Rocks