Shahram Khalilarya | Energy Conversion | Best Researcher Award

Prof Dr. Shahram Khalilarya | Energy Conversion | Best Researcher Award

Academic Staff at Urmia University, Iran

Dr. Shahram Khalilarya, a distinguished Professor of Mechanical Engineering at Urmia University, has made significant contributions to the field of mechanical engineering, particularly in thermodynamics, internal combustion engines, and renewable energies. With a robust academic background, including a Ph.D. from Bath University, he has authored over 120 journal papers and 80 conference papers. His research interests encompass a wide range of topics such as biomass gasification, energy and fuels, solid oxide fuel cells, and hydrogen production. Dr. Khalilarya is noted for his use of advanced methodologies like CFD simulation, multi-objective optimization, and exergoeconomic analysis, reflecting his commitment to innovative and practical solutions. His extensive and impactful research, recognized globally through various academic platforms, positions him as a leading figure in his field. Enhancing interdisciplinary collaboration and industry engagement could further extend the real-world applicability of his work.

Profile

Education

Dr. Shahram Khalilarya’s educational background reflects a strong foundation in mechanical engineering. He earned his Bachelor of Science (B.Sc.) and Master of Science (M.Sc.) degrees in Mechanical Engineering from Tabriz University, Iran, in 1991. His academic journey continued with a focus on internal combustion engines, culminating in a Doctor of Philosophy (Ph.D.) degree from Bath University, United Kingdom, in March 2002. This advanced education equipped him with a comprehensive understanding of thermodynamic analysis, combustion processes, and energy systems, laying the groundwork for his subsequent research and academic career. Dr. Khalilarya’s doctoral studies, conducted at a prestigious institution known for its engineering excellence, allowed him to delve into complex topics such as renewable energies and multi-objective optimization, which have significantly influenced his research trajectory and contributions to the field of mechanical engineering.

Professional Experience

Dr. Shahram Khalilarya has a distinguished career in mechanical engineering, beginning with his academic appointment at Urmia University in Iran, where he has been a dedicated member of the Mechanical Engineering Department since 1991. He earned his B.Sc. and M.Sc. degrees in mechanical engineering from Tabriz University, followed by a Ph.D. in Mechanical Engineering with a focus on Internal Combustion Engines from Bath University, UK, in 2002. His professional expertise spans a wide range of research interests including thermodynamics, renewable energies, and combustion technologies. Dr. Khalilarya has made significant contributions to the field through his extensive research, which includes over 120 journal papers and 80 conference papers. His roles in various research projects and his involvement in advanced methodologies like CFD simulation and multi-objective optimization underscore his commitment to pushing the boundaries of mechanical engineering and energy systems.

Research Interest

Dr. Shahram Khalilarya’s research interests encompass a wide array of topics within mechanical engineering, with a particular focus on thermodynamics and internal combustion engines. His work involves advanced modeling and simulation of combustion processes, aiming to enhance the efficiency and performance of energy systems. Dr. Khalilarya is deeply engaged in the study of renewable energies, including biomass gasification and hydrogen production, reflecting his commitment to sustainable and innovative energy solutions. His expertise extends to solid oxide fuel cells and the organic Rankine cycle, where he applies his knowledge to optimize energy conversion and storage technologies. Additionally, his research includes exergoeconomic analysis and multi-objective optimization, emphasizing the economic and environmental aspects of energy systems. Dr. Khalilarya’s use of CFD simulation further supports his exploration of complex thermodynamic phenomena, making significant contributions to both theoretical and practical advancements in energy and combustion technologies.

Research Skills

Dr. Shahram Khalilarya possesses exceptional research skills that underscore his expertise in mechanical engineering. His proficiency in thermodynamic analysis and internal combustion engines modeling reflects a deep understanding of complex systems and their optimization. Dr. Khalilarya is adept at employing advanced methodologies such as CFD simulation and multi-objective optimization, which enable him to tackle intricate problems and refine energy systems. His work in renewable energies, biomass gasification, and solid oxide fuel cells demonstrates his ability to integrate innovative solutions with practical applications. Additionally, his expertise in exergoeconomic analysis and hydrogen production showcases his capability to evaluate the economic and environmental aspects of energy technologies. Dr. Khalilarya’s research is characterized by a rigorous approach to experimentation and analysis, as evidenced by his extensive publication record and contributions to the field. His skill set not only advances theoretical knowledge but also addresses real-world challenges in energy and combustion engineering.

Award and Recognition

Dr. Shahram Khalilarya has garnered significant recognition for his outstanding contributions to mechanical engineering and energy research. His extensive body of work, including over 120 journal papers and 80 conference papers, underscores his leadership in advancing thermodynamic analysis, internal combustion engine modeling, and renewable energy technologies. Dr. Khalilarya’s research achievements have earned him a prominent place in global academic databases, such as Web of Science and Scopus, reflecting his influence and impact in the field. His innovative approaches to combustion, biomass gasification, and energy systems have been widely acknowledged, showcasing his role as a leading expert in his domain. Additionally, his expertise in multi-objective optimization and CFD simulation further highlights his commitment to pushing the boundaries of mechanical engineering. Dr. Khalilaryaā€™s work continues to shape the future of energy research, earning him well-deserved recognition and respect within the scientific community.

Conclusion

Dr. Shahram Khalilarya’s impressive body of work and his innovative research methodologies make him a strong candidate for the Best Researcher Award. His contributions to mechanical engineering, particularly in energy systems and combustion technologies, are substantial and impactful. Addressing areas for improvement, such as enhancing interdisciplinary collaborations and industry engagement, could further amplify his research impact and drive future advancements in the field.

Publication Top Notes

  • Energy and exergy assessments of a novel trigeneration system based on a solid oxide fuel cell
    • Authors: Ranjbar, F., Chitsaz, A., Mahmoudi, S.M.S., Khalilarya, S., Rosen, M.A.
    • Journal: Energy Conversion and Management
    • Year: 2014
    • Volume: 87
    • Pages: 318-327
    • Citations: 243
  • Exergy and exergoeconomic evaluation of hydrogen and distilled water production via combination of PEM electrolyzer, RO desalination unit and geothermal driven dual fluid ORC
    • Authors: Kianfard, H., Khalilarya, S., Jafarmadar, S.
    • Journal: Energy Conversion and Management
    • Year: 2018
    • Volume: 177
    • Pages: 339-349
    • Citations: 198
  • Thermodynamic analysis of a novel combined cooling, heating and power system driven by solar energy
    • Authors: Eisavi, B., Khalilarya, S., Chitsaz, A., Rosen, M.A.
    • Journal: Applied Thermal Engineering
    • Year: 2018
    • Volume: 129
    • Pages: 1219-1229
    • Citations: 110
  • Multi-objective optimization using response surface methodology and exergy analysis of a novel integrated biomass gasification, solid oxide fuel cell and high-temperature ā€¦
    • Authors: Mojaver, P., Khalilarya, S., Chitsaz, A.
    • Journal: Applied Thermal Engineering
    • Year: 2019
    • Volume: 156
    • Pages: 627-639
    • Citations: 97
  • A complete energetic and exergetic analysis of a solar powered trigeneration system with two novel organic Rankine cycle (ORC) configurations
    • Authors: Jafary, S., Khalilarya, S., Shawabkeh, A., Wae-hayee, M., Hashemian, M.
    • Journal: Journal of Cleaner Production
    • Year: 2021
    • Volume: 281
    • Article ID: 124552
    • Citations: 86
  • Diesel engine spray characteristics prediction with hybridized artificial neural network optimized by genetic algorithm
    • Authors: Taghavifar, H., Khalilarya, S., Jafarmadar, S.
    • Journal: Energy
    • Year: 2014
    • Volume: 71
    • Pages: 656-664
    • Citations: 84
  • Diesel engine optimization with multi-objective performance characteristics by non-evolutionary Nelder-Mead algorithm: Sobol sequence and Latin hypercube sampling methods ā€¦
    • Authors: Navid, A., Khalilarya, S., Abbasi, M.
    • Journal: Fuel
    • Year: 2018
    • Volume: 228
    • Pages: 349-367
    • Citations: 80
  • Appraisal of artificial neural networks to the emission analysis and prediction of CO2, soot, and NOx of n-heptane fueled engine
    • Authors: Taghavifar, H., Taghavifar, H., Mardani, A., Mohebbi, A., Khalilarya, S., ā€¦
    • Journal: Journal of Cleaner Production
    • Year: 2016
    • Volume: 112
    • Pages: 1729-1739
    • Citations: 80
  • An exhaustive experimental study of a novel air-water based thermoelectric cooling unit
    • Authors: Dizaji, H.S., Jafarmadar, S., Khalilarya, S., Moosavi, A.
    • Journal: Applied Energy
    • Year: 2016
    • Volume: 181
    • Pages: 357-366
    • Citations: 79
  • Exergoeconomic analysis of a novel integrated transcritical CO2 and Kalina 11 cycles from Sabalan geothermal power plant
    • Authors: Abdolalipouradl, M., Khalilarya, S., Jafarmadar, S.
    • Journal: Energy Conversion and Management
    • Year: 2019
    • Volume: 195
    • Pages: 420-435
    • Citations: 77