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Dr. Ali Najarnezhadmashhadi | Process Modeling | Best Researcher Award

Researcher at Royal Institute of Technology KTH, Sweden

Ali Najarnezhadmashhadi is an innovative chemical engineer and researcher with expertise in process modeling, experimental research, and industrial R&D. He has played a key role in sustainability-driven projects, leading the development of pilot-scale carbon capture units and collaborating with international teams on EU-funded initiatives. With a Ph.D. from Åbo Akademi University, Finland, Ali has been recognized for his contributions to catalysis and reactor technologies. He has worked with KTH Royal Institute of Technology and Grimaldi Development AB, driving innovation at the intersection of academia and industry. Passionate about technology commercialization, Ali integrates data analytics, process optimization, and sustainability into his work.

Professional Profile:

Orcid

Scopus

Education & Experience 🎓💼

  • Ph.D. in Chemical Engineering – Åbo Akademi University, Finland (2021)
    📌 Development of structured catalysts & reactor technologies for biomass conversion

  • M.Sc. in Chemical Engineering – Åbo Akademi University, Finland (2015)
    📌 Flow characterization of a millichannel reactor

Experience:

  • 🔬 Researcher | KTH Royal Institute of Technology (2021–Present)

  • 🏭 Co-Founder & R&D Manager | ElvfTech (2021–2023)

  • ⚡ R&D Engineer | Grimaldi Development AB (2022–2023)

  • 📈 Technical Analyst & Author | Self-Employed (2017–2024)

  • 🏆 Doctoral Research Scholar | Åbo Akademi University (2016–2021)

Professional Development 🚀📚

Ali has completed multiple advanced certifications in engineering, project management, and data analytics. He holds a Google Project Management Certificate (2023) and has specialized training in CFD software (Chalmers University) and Optimization & Model Validation with gPROMS (PSE, 2014). His Six Sigma (Advanced) certification from the University System of Georgia (2019) highlights his expertise in process efficiency and quality control. Ali has also expanded his knowledge in data analytics (Minitab, 2024), integrating computational modeling, process optimization, and sustainability strategies into his work. Passionate about cutting-edge innovation, he has participated in KTH Innovation Pre-Incubator and Sting Test Drive Sustaintech programs to refine commercialization strategies.

Research Focus 🔍🧪

Ali’s research primarily revolves around sustainable process engineering, catalysis, and reactor optimization. His expertise spans structured catalysts, carbon capture technologies, and biomass conversion to create eco-friendly industrial solutions. His work integrates process modeling (Aspen Plus, STAR-CCM+), computational fluid dynamics (CFD), and life cycle assessment (LCA) to enhance efficiency and sustainability. He is passionate about bridging academia and industry, developing market-driven, green technology solutions. Through data analytics and advanced simulations, Ali continuously works on optimizing industrial processes to reduce environmental impact and improve overall system performance.

Awards & Honors 🏅🎖️

  • 🏆 Winner – KTH Innovation Discovery Program (2022)

  • 🎓 Four personal scholarships for PhD research excellence (2016–2021)

  • ✈️ Multiple travel scholarships for international research presentations (2014–2022)

  • 🏅 Selected as KTH’s representative for industry collaborations

  • 🥇 Awarded KTH Innovation Prize for technological innovation

Publication Top Notes

  1. “Enhancing CO₂ Capture Efficiency in a Lab-Scale Spray Tower: An Experimental Study on Flow Configurations Using Potassium Carbonate”

    • Authors: Not specified in the provided information.​

    • Journal: Chemical Engineering Research and Design​

    • Publication Date: April 2025​

    • DOI: 10.1016/j.cherd.2025.02.020​

    • Summary: This study investigates CO₂ capture from a CO₂/N₂ mixture using unpromoted potassium carbonate as the absorbent in a lab-scale spray tower. Experiments were conducted across four different flow configurations, varying operating conditions such as gas and liquid flow rates, CO₂ concentration, potassium carbonate concentration, and solvent temperature. The research provides valuable experimental data on using spray columns with potassium carbonate for CO₂ capture. ​ltw1

  2. “Process Intensification via Structured Catalysts: Production of Sugar Alcohols”

    • Authors: Tapio Salmi, German Araujo Barahona, Ali Najarnezhadmashhadi, Catarina Braz, Alberto Goicoechea Torres, Maria Ciaramella, Emilia Ares, Vincenzo Russo, Juan Garcia Serna, Kari Eränen, Johan Wärnå, Henri Matos, Dmitry Murzin​

    • Journal: Chemie Ingenieur Technik​Åbo Akademi University

    • Publication Date: December 2024​

    • DOI: 10.1002/cite.202400087​

    • Summary: This paper explores the use of structured catalysts and reactors—such as monoliths, solid foams, and 3D printed structures—to overcome the limitations of conventional slurry and packed-bed reactors in sugar alcohol production. Multiphase mathematical models were developed for solid foam structures and validated through the hydrogenation of arabinose, galactose, and xylose to their corresponding sugar alcohols. High product selectivities were achieved in both batch and continuous experiments, demonstrating the effectiveness of structured catalysts in process intensification.

  3. “Modeling of Three‐Phase Continuously Operating Open‐Cell Foam Catalyst Packings: Sugar Hydrogenation to Sugar Alcohols”

    • Author: Ali Najarnezhadmashhadi​

    • Journal: AIChE Journal​

    • Publication Date: May 8, 2022​

    • DOI: 10.1002/aic.17732​

    • Summary: This study focuses on modeling three-phase, continuously operating open-cell foam catalyst packings for the hydrogenation of sugars to sugar alcohols. The research provides insights into the design and optimization of such catalytic systems, aiming to enhance efficiency and selectivity in sugar alcohol production.​

  4. “Dynamic Modelling of Non-Isothermal Open-Cell Foam Catalyst Packings: Selective Sugar Hydrogenation to Sugar Alcohols as a Case Study”

    • Author: Ali Najarnezhadmashhadi​

    • Journal: Computer Aided Chemical Engineering​

    • Publication Date: 2022​

    • DOI: 10.1016/b978-0-323-95879-0.50013-8​

    • Summary: This paper presents a dynamic, non-isothermal model for open-cell foam catalyst packings, applied to the selective hydrogenation of sugars to sugar alcohols. The model aims to predict the performance of these catalytic systems under varying operating conditions, contributing to the optimization of sugar alcohol production processes.​

  5. “Numerical Simulation of CO₂ Absorption by a Single Droplet with Amine-Based Solvent”

    • Author: Ali Najarnezhadmashhadi​

    • Journal: SSRN Electronic Journal​

    • Publication Date: 2022​

    • DOI: 10.2139/ssrn.4275608​

    • Summary: This study involves numerical simulations of CO₂ absorption by a single droplet using an amine-based solvent. The research provides insights into the mass transfer and reaction kinetics involved in the CO₂ capture process at the droplet level, which can inform the design and optimization of larger-scale CO₂ absorption systems.

Conclusion

Ali Najarnezhadmashhadi is a highly deserving candidate for the Best Researcher Award. His innovative contributions to chemical engineering, industrial impact, international recognition, and mentorship roles make him a standout researcher. His ability to bridge academia and industry with sustainability-focused innovations further strengthens his candidacy for this prestigious honor.

Ali Najarnezhadmashhadi | Process Modeling | Best Researcher Award

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