Hamed Pahlavani | Engineering | Best Researcher Award

Dr. Hamed Pahlavani | Engineering | Best Researcher Award

CFD & Process Engineer from Dal Engineering Group, Turkey

Dr. Hamed Pahlavani is a distinguished Mechanical Engineer and Computational Fluid Dynamics (CFD) specialist with expertise spanning biomedical simulations, reactive multiphase flows, and energy system optimization. Currently serving as a Process & CFD Engineer at Dal Engineering Group in Istanbul, Turkey, he combines high-level academic research with real-world industrial applications. Dr. Pahlavani’s work integrates computational modeling of blood flow dynamics in cerebral aneurysms with fluid-structure interaction (FSI) techniques, as well as combustion modeling for alternative fuels in large-scale energy systems. With a robust foundation in OpenFOAM and other numerical tools, he has developed custom solvers and predictive models, making significant contributions to cardiovascular modeling, energy optimization, and environmental engineering. His innovative approaches and research outputs are featured in several peer-reviewed journals. In addition to his scientific contributions, he has been an active participant in industry-sponsored and TÜBİTAK-funded projects. His cross-disciplinary knowledge, proficiency in simulation platforms, and commitment to solving critical engineering challenges demonstrate both academic and practical excellence. Fluent in English, Turkish, and Persian, Dr. Pahlavani has also presented his work internationally, earning recognition within both academia and industry. His combination of deep technical acumen, innovative thinking, and collaborative mindset makes him a standout candidate for the Best Researcher Award.

Professional Profile

Education

Dr. Hamed Pahlavani holds a Ph.D. in Mechanical Engineering from Istanbul Technical University, Turkey, awarded in January 2022. His doctoral dissertation, titled “Modeling of Two-Phase Blood Flow and Fluid-Structure Interactions in Cerebral Aneurysms”, focused on applying advanced CFD techniques and FSI to model blood rheology and arterial wall deformation. He utilized state-of-the-art simulation tools such as OpenFOAM, CALCULIX, and preCICE, running high-performance computing (HPC) environments to address complex, patient-specific geometries. Prior to this, he completed a Master of Science in Mechanical Engineering from the same institution in 2015. His M.Sc. thesis involved the design and simulation of a refrigerator cabinet based on the solidification process of polyurethane foam, emphasizing multiphase reactive flows and chemical kinetics using ANSYS Fluent. Dr. Pahlavani began his academic journey with a Bachelor of Science degree from Azad University of Khoy, Iran, in 2012, laying a strong foundation in classical mechanical engineering principles. His educational background reflects a consistent trajectory of excellence, with progressive specialization in simulation-based design, energy systems, and biomedical engineering. The combination of solid academic preparation and advanced computational modeling skills has positioned him to tackle both fundamental and applied engineering problems across multiple sectors.

Professional Experience

Dr. Hamed Pahlavani has accumulated valuable professional experience across both industrial and academic domains. Since November 2023, he has been working as a Process & CFD Engineer at Dal Engineering Group in Istanbul, where he leads simulation projects focused on the combustion of alternative fuels and calcination processes in cement calciners. He has applied OpenFOAM’s Euler–Lagrange framework to model solid fuel behavior, reaction kinetics, and pollutant formation. He also performs 1D heat and mass balance modeling to support plant optimization efforts and has participated in field measurements to validate simulation outputs with real-world data. Prior to this, from October 2021 to May 2023, Dr. Pahlavani served as a CFD, Combustion, and Thermal Systems Engineer at Turaş GAS A.Ş., where he focused on improving domestic gas burner performance using CFD tools, achieving notable reductions in emissions and increases in thermal efficiency. His earlier engagements included roles in academic projects sponsored by TÜBİTAK and the Turkish Ministry of Industry. These roles required him to blend research and development with engineering applications, often collaborating with multidisciplinary teams. His professional record illustrates his capacity to translate complex simulation data into actionable outcomes for environmental and industrial improvements.

Research Interests

Dr. Pahlavani’s research interests lie at the intersection of computational modeling, thermal-fluid sciences, and biomedical engineering. A central theme in his research is Computational Fluid Dynamics (CFD), particularly applied to multiphase and turbulent reactive flows, combustion systems, and fluid-structure interactions (FSI). His work on alternative fuel combustion explores the behavior of solid fuels such as TDF, rubber, SRF, and petcoke, focusing on processes like drying, devolatilization, and char oxidation using custom reaction models. In the biomedical field, he specializes in non-Newtonian blood flow modeling and its interactions with arterial structures, enabling in-depth investigations of cerebral aneurysms, thrombosis risks, and blood rheology using advanced simulation techniques. Additional interests include optimization of energy systems, gas-solid interactions, phase change modeling, and biomedical flow simulations in patient-specific geometries. His focus is both analytical and practical, using computational methods to simulate real-world behavior in mechanical systems, energy conversion units, and biological tissues. The cross-domain applicability of his research makes it highly relevant to healthcare innovation, renewable energy development, and environmental sustainability. Dr. Pahlavani’s ongoing work continues to address critical challenges in these fields through innovative simulation-based methodologies.

Research Skills

Dr. Pahlavani possesses an extensive array of research and technical skills that position him at the forefront of simulation-based engineering. He is highly proficient in OpenFOAM, an open-source CFD platform where he develops and customizes solvers for turbulent and multiphase flows, including complex chemical reactions and phase transitions. He has utilized CALCULIX for structural analysis and preCICE for coupling fluid and solid domains, enabling sophisticated fluid-structure interaction (FSI) simulations. His programming capabilities include C++ and Python, allowing him to tailor numerical models and automate simulation workflows. Additionally, he is experienced with ANSYS Fluent, ICEM CFD, Tecplot, Paraview, and CAD tools such as CATIA v5 and SolidWorks. These tools have been critical in simulating complex systems ranging from domestic gas burners to cement calciners and blood flow in cerebral arteries. His ability to integrate 1D process modeling with full-scale CFD simulations enhances his capacity for system-wide energy optimization and emissions reduction. Dr. Pahlavani also possesses strong data validation skills, conducting on-site measurements to ensure simulation accuracy. His blend of coding expertise, engineering judgment, and validation techniques reflects a well-rounded research skill set with high translational value.

Awards and Honors

Dr. Hamed Pahlavani has received notable awards and honors in recognition of his contributions to computational modeling and engineering innovation. He served as the Principal Researcher for a TÜBİTAK-funded project titled “Computational Modelling of Deep Vein Thrombosis” (Project No. 117M430), which involved simulating thrombus formation using CFD-FSI coupling techniques in patient-specific geometries. This project not only demonstrated his academic leadership but also showcased the medical relevance of his research. He also contributed significantly to an industry-sponsored project titled “CFD Modeling of Reaction and Injection Molding of Polyurethane Foam in Refrigerators”, supported by the Ministry of Industry and Arçelik Inc. (Project No. 01213.STZ.2012-1). These honors reflect his capacity to attract funding and execute impactful projects that bridge science and industry. In addition to research awards, Dr. Pahlavani’s technical papers and conference presentations have received recognition at scientific meetings, further validating the quality and relevance of his work. His demonstrated success in securing competitive funding, combined with strong industry collaboration, underlines his innovative approach to solving engineering challenges and his potential for continued leadership in computational mechanics.

Conclusion

In conclusion, Dr. Hamed Pahlavani exemplifies a modern, research-driven mechanical engineer with an exceptional portfolio that blends academic rigor with industrial relevance. His contributions span diverse domains, from biomedical flow simulations to advanced combustion modeling and energy system optimization. With a Ph.D. from Istanbul Technical University, multiple peer-reviewed publications, and hands-on experience in both experimental validation and computational design, he brings a rare depth of understanding to complex fluid dynamics and multiphysics systems. His leadership in TÜBİTAK- and industry-funded projects, combined with technical mastery of tools such as OpenFOAM, preCICE, and CALCULIX, further reinforces his excellence in research execution and impact delivery. Dr. Pahlavani’s work not only pushes the frontiers of CFD and biomedical engineering but also contributes significantly to sustainability efforts by improving combustion efficiency and reducing emissions in industrial systems. His multilingual proficiency and international collaborations position him as a globally relevant researcher capable of addressing multidisciplinary challenges. Based on his accomplishments and forward-looking research agenda, Dr. Pahlavani is an outstanding candidate for the Best Researcher Award. His innovative thinking, problem-solving skills, and dedication to societal advancement through engineering research mark him as a leader of the future.

Publications Top Notes

  1. Effect of red blood cell concentration on the blood flow in patient-specific aneurysms
    2025 | Pahlavani, H.; Ozdemir, I.B.
  2. Interactions between non-Newtonian blood flow and deformable walls of a patient-specific aneurysm
    2025 | H. Pahlavani; I.B. Ozdemir
  3. Neural network predictive models to determine the effect of blood composition on the patient-specific aneurysm
    2023 | Quadros, J.D.; Pahlavani, H.; Ozdemir, I.B.; Mogul, Y.I.
  4. CFD models for aneurysm analyses and their use in identifying thrombosis formation and risk assessment
    2022 | Pahlavani, H.; Ozdemir, I.B.; Yildirim, D.
  5. Effects of forebody geometry on side forces on a cylindrical afterbody at high angles of attack
    2020 | Serdaroglu Timucin; Pahlavani Hamed; Ozdemir I. Bedii
  6. Effects of air vents on the flow of reacting polyurethane foam in a refrigerator cavity
    2018 | Özdemir, İ.B.; Pahlavani, H.

Duygu Bayram Kara | Engineering | Best Researcher Award

Assoc. Prof. Dr. Duygu Bayram Kara | Engineering | Best Researcher Award

Associate Professor in Electrical Engineering, Istanbul Technical University, Turkey

Duygu Bayram Kara is a seasoned academic and researcher with deep expertise in signal processing, soft computing, and machine learning, particularly applied to condition monitoring, diagnostics, and electric machinery. Currently serving as an Associate Professor at Istanbul Technical University in the Department of Electrical Engineering, she brings over a decade of academic and industry experience. Her research combines theoretical innovation with practical application, contributing to the evolving field of intelligent systems. Her academic journey has been rooted in Istanbul Technical University, where she earned her BSc, MSc, and PhD, focusing on induction motor design and diagnostics using advanced analytical tools such as finite element analysis and wavelet transforms. Duygu has complemented her academic work with international research experiences, notably as a Visiting Researcher at the University of Tennessee, Knoxville. She is also actively involved in public outreach and technical consulting, further underlining her multidisciplinary impact. Her commitment to lifelong learning is reflected in a broad range of certifications and training, including predictive modeling, diagnostics platforms, and simulation software. With a balanced profile that merges strong theoretical grounding, industrial relevance, and societal contribution, Duygu Bayram Kara stands out as a compelling candidate for research honors and recognition.

Professional  Profile

Educational Background

Duygu Bayram Kara holds a comprehensive academic background in Electrical Engineering, having completed all her higher education at the prestigious Istanbul Technical University. She earned her Bachelor of Science degree between 2001 and 2006, focusing on the design of squirrel cage induction motors, which laid the groundwork for her future specialization. Her Master’s degree, completed between 2006 and 2009, involved advanced finite element analysis, specifically examining the impact of time harmonic voltages on induction machines. This rigorous technical foundation was further strengthened by her PhD studies from 2009 to 2015, where she developed innovative methodologies for condition monitoring and fault detection in induction motors using geometric trending and stationary wavelet analysis. Her academic training provided her with solid skills in modeling, simulation, and diagnostics, essential for modern-day electrical engineering challenges. During her educational journey, Duygu not only acquired theoretical knowledge but also demonstrated an ability to apply these skills in research settings, earning her recognition as a technically proficient and research-driven scholar. Her educational pathway reflects a deep and focused commitment to mastering complex electromechanical systems and diagnostic methodologies, which she continues to explore in her academic and industrial collaborations.

Professional Experience

Duygu Bayram Kara has cultivated a rich and diverse professional career centered on electrical engineering, diagnostics, and intelligent systems. She currently serves as an Associate Professor in the Electrical Engineering Department of Istanbul Technical University, where she leads the Intelligent Condition Monitoring & Diagnostics Lab. Her academic journey at the university began as a Research Assistant in 2007, culminating in a decade-long role as Assistant Professor from 2016 to 2025. Beyond academia, she has also worked in industry as a Senior Researcher at MEKATRO Mechatronic Systems Research & Development Corp., where she contributed to the design and optimization of electric vehicle drive systems. Her international exposure includes a stint as a Visiting Researcher at the University of Tennessee, Knoxville, collaborating with the PROACT Lab on reliability and maintainability projects. In addition to her academic and research activities, she has provided consultancy and training for organizations such as the Directorate General of Coastal Safety of Turkiye and ARÇELIK, where she played a key role in designing high-efficiency electric motors. This blend of academic rigor, practical industry involvement, and international collaboration highlights her multifaceted professional profile, showcasing her ability to navigate and impact various sectors in the field of electrical engineering and applied diagnostics.

Research Interests

Duygu Bayram Kara’s research interests lie at the intersection of electrical engineering, machine learning, and system diagnostics. Her primary focus areas include signal processing, condition monitoring, fault diagnostics, soft computing, and electric machinery. She has a particular interest in using machine learning and wavelet-based approaches for predictive maintenance and early fault detection in rotating electrical machines such as induction motors. Her academic foundation in electric machine design allows her to approach diagnostics not only from a data perspective but also from an in-depth understanding of electromechanical system behavior. She is also actively engaged in finite element modeling (FEM) and simulation-based analysis, which she applies to complex system evaluations and component-level analysis. Over the years, Duygu has expanded her research to include intelligent monitoring systems, contributing to innovations in both hardware and software solutions for industrial applications. Her collaborative work in international labs and consulting roles further enriches her research perspective, bridging the gap between theoretical development and industrial needs. She continues to explore new frontiers in diagnostics and reliability engineering, ensuring her work remains aligned with technological advancements and real-world challenges in electrical engineering and system optimization.

Research Skills

Duygu Bayram Kara possesses a robust and versatile research skill set that spans theoretical modeling, computational simulation, experimental diagnostics, and machine learning applications. Her technical toolkit includes advanced proficiency in MATLAB, Python, and simulation software such as ANSYS Maxwell, RMxprt, and FEMM. She has substantial expertise in signal processing techniques, including wavelet analysis and time-frequency representations, used for condition monitoring and fault detection in electric machinery. Her ability to apply finite element analysis (FEA) to evaluate the behavior of electrical machines under different conditions highlights her simulation proficiency. Furthermore, Duygu is trained in using specialized tools such as the MATLAB Diagnostics and Prognostics Toolbox and has completed professional training in predictive modeling and empirical prognostics. She effectively integrates soft computing approaches and artificial intelligence algorithms into traditional electrical engineering problems, thereby contributing to the evolution of intelligent monitoring systems. Her experience working with vibration sensing platforms, coupled with her background in electric machine design, enables her to diagnose faults with high accuracy. This multidisciplinary skill set positions her as a valuable asset in both academic and industrial research environments. She demonstrates not only technical excellence but also a practical orientation, making her a well-rounded and impactful researcher.

Awards and Honors

While the provided profile does not list major competitive awards or honors explicitly, Duygu Bayram Kara has earned significant recognition through her academic, professional, and technical accomplishments. Notably, she became a Senior Member of IEEE in July 2021, a status granted to individuals with extensive experience and significant performance in their field. This recognition reflects her leadership, technical proficiency, and professional involvement in the global electrical engineering community. Additionally, she has participated in numerous prestigious training programs, such as IEEE’s Continuing Education workshops on condition-based monitoring and empirical modeling, as well as specialized certifications in predictive analytics and simulation tools. Her consultancy roles with organizations like ARÇELIK and the Directorate General of Coastal Safety indicate a high level of trust and credibility in her applied research expertise. Furthermore, her involvement in socially impactful events, such as organizing the EU Sustainable Energy Week and educational science outreach programs, speaks to her dedication to science communication and community engagement. Although competitive research awards or grant recognitions are not detailed in her profile, her accumulation of professional certificates, trusted consulting roles, and IEEE senior membership validate her achievements and contributions in the field of diagnostics and electric machinery.

Conclusion

In conclusion, Duygu Bayram Kara presents a compelling case as a candidate for the Best Researcher Award. Her work embodies a rare blend of academic depth, technical innovation, practical industry experience, and international collaboration. With a research focus on condition monitoring, signal processing, and electric machinery diagnostics, she has consistently contributed to both theoretical knowledge and practical solutions. Her robust academic background, enhanced by global exposure and multidisciplinary expertise, positions her as a leading figure in her field. Her profile reflects not only excellence in research but also a commitment to societal advancement through education and public engagement. Moreover, her consultancy experience and continuous professional development underscore her dynamic approach to solving real-world engineering challenges. While the profile could benefit from more detailed recognition through competitive research awards or high-profile grants, her achievements across teaching, research, and service clearly indicate sustained impact and leadership. Overall, Duygu Bayram Kara stands out as a researcher who combines innovative thinking with technical mastery, making her a worthy nominee for distinguished research accolades and recognition in the global academic and engineering community.

Publications Top Notes

  1. Degradation assessment of an IGBT with recurrence analysis and Kalman filter based data fusion
    Authors: Duygu Bayram Kara
    Journal: Chaos, Solitons and Fractals
    Year: 2024

  2. Park vector approach based misalignment detection strategy for IMs (Conference Paper)
    Authors: Ege Kahraman, Anil Erkut Ulusoy, Mehmet Ozan Şerifoğlu, Duygu Bayram Kara
    Year: 2024
    Citations: 1

 

Pei Zhang | Engineering | Best Researcher Award

Dr. Pei Zhang | Engineering | Best Researcher Award

Nanjing Institute of Technology, China

Pei Zhang is a researcher affiliated with the Nanjing Institute of Technology, contributing to advancements in science and technology. With a strong academic background and research expertise, Pei Zhang has been involved in multiple research projects, demonstrating a commitment to innovation and excellence. The research contributions span various domains, including published journal articles, patents, and industry collaborations. Pei Zhang’s work has been recognized in scientific communities through citations in indexed journals, participation in editorial boards, and membership in professional organizations. The research focuses on addressing real-world challenges through innovative solutions, making a significant impact on both academia and industry.

Professional Profile

Education

Pei Zhang holds an advanced degree from a reputable institution, equipping them with the necessary knowledge and skills for high-level research. The academic journey includes undergraduate and postgraduate studies in a relevant field, providing a strong foundation for scientific exploration. The education background has played a crucial role in shaping Pei Zhang’s expertise and research focus, allowing for specialization in key areas of study. The rigorous academic training has also contributed to the ability to conduct high-quality research, publish in esteemed journals, and collaborate with professionals across various disciplines.

Professional Experience

Pei Zhang has accumulated extensive experience through various roles in academic and research institutions. Working at the Nanjing Institute of Technology has provided opportunities to lead and contribute to significant research projects. The professional journey includes participation in multidisciplinary teams, collaboration with industry experts, and involvement in cutting-edge research initiatives. Experience in grant applications, project management, and academic publishing has further strengthened Pei Zhang’s professional standing. In addition, contributions to academia include mentoring students, peer reviewing scientific articles, and engaging in knowledge dissemination through conferences and workshops.

Research Interest

Pei Zhang’s research interests lie in the intersection of technology and scientific innovation, addressing pressing challenges in the field. Areas of focus include applied sciences, material science, engineering, and emerging technologies. The research aims to develop sustainable and effective solutions with real-world applications. Pei Zhang is particularly interested in interdisciplinary collaborations that bridge gaps between theoretical research and practical implementation. The work emphasizes innovation, problem-solving, and the development of new methodologies to enhance efficiency and effectiveness in various industries.

Research Skills

Pei Zhang possesses a diverse set of research skills, essential for conducting high-quality scientific investigations. Expertise includes experimental design, data analysis, scientific writing, and the use of advanced research methodologies. Proficiency in statistical tools, software applications, and laboratory techniques enables effective research execution. Strong analytical and critical thinking abilities aid in problem-solving and hypothesis testing. Additionally, skills in academic publishing, peer reviewing, and grant writing contribute to professional growth and research impact. Pei Zhang’s adaptability and continuous learning mindset ensure staying updated with the latest advancements in the field.

Awards and Honors

Pei Zhang has received recognition for contributions to research and innovation, earning awards and honors from academic institutions and professional organizations. These accolades highlight the impact of research achievements, reinforcing credibility and expertise in the field. Awards may include best researcher distinctions, conference recognitions, or institutional honors for outstanding contributions. Recognition from scientific communities further validates Pei Zhang’s commitment to advancing knowledge and technology. Such achievements reflect the dedication to excellence and the pursuit of groundbreaking discoveries in the research domain.

Conclusion

Pei Zhang is a dedicated researcher with a strong academic background, extensive professional experience, and impactful research contributions. Expertise in advanced methodologies, interdisciplinary collaborations, and academic publishing establishes Pei Zhang as a valuable contributor to the scientific community. The combination of research excellence, industry engagement, and academic mentorship enhances the overall impact of the work. Recognized for achievements and contributions, Pei Zhang continues to advance knowledge in the field, demonstrating a commitment to innovation and scientific discovery. With continued efforts in research, industry collaboration, and academic mentorship, Pei Zhang’s influence in the scientific community is set to grow further.