Prof. Mohammad Hassan Saidi | Thermodynamics | Best Researcher Award

Prof. Mohammad Hassan Saidi | Thermodynamics | Best Researcher Award

Prof. Mohammad Hassan Saidi , Sharif University of Technology , Iran

Dr. M.H. Saidi is a distinguished Professor of Mechanical Engineering at Sharif University of Technology, Tehran, Iran. With an academic career spanning over four decades, he has held numerous leadership positions, including Director of the Center of Excellence in Energy Conversion and Dean of the Center of Languages and Linguistics. Dr. Saidi’s pioneering work in thermo-fluid dynamics, energy conversion, and micro/nanofluidic systems has earned him several national and international accolades, including the Khwarizmi International Award and the UNIDO Award. An advisor to numerous award-winning theses, he has made significant contributions to advancing mechanical engineering through impactful research, teaching, and mentorship.

Professional Profile

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Summary of Suitability for Award:

Dr. M.H. Saidi stands out as an exemplary candidate for the “Best Researcher Award” due to his profound contributions to the field of mechanical engineering. With over four decades of academic and research experience, Dr. Saidi has significantly advanced thermo-fluid dynamics, energy conversion, and micro/nanofluidic systems. His work has garnered international recognition, including the prestigious Khwarizmi International Award and the UNIDO Award for applied research.Dr. M.H. Saidi’s exceptional achievements in research, mentorship, and innovation make him highly deserving of the “Best Researcher Award.” His groundbreaking work addresses critical challenges in energy systems and thermal sciences, making a lasting impact on the field. Dr. Saidi’s dedication, leadership, and academic contributions position him as an outstanding candidate for this prestigious honour.

🎓Education:

Dr. Saidi completed his Ph.D. in Mechanical Engineering from Sharif University of Technology in 1999, specializing in thermo-fluid dynamics and energy systems. He earned his M.Sc. in Mechanical Engineering from the University of Michigan, Ann Arbor, in 1979, focusing on advanced heat transfer and thermodynamics, and his B.Sc. in Mechanical Engineering from Sharif University of Technology in 1975. This diverse academic training provided him with a robust foundation in theoretical and applied mechanical engineering, enabling him to contribute significantly to both research and industry.

🏢Work Experience:

Dr. Saidi is a Professor at Sharif University of Technology, where he has been a faculty member since 1994. He has held key leadership roles, including Vice President of Academic Affairs, Dean of the Centre of Languages and Linguistics, and Chair of the School of Mechanical Engineering. As Director of the Center of Excellence in Energy Conversion and the Sharif Energy Research Institute, he has led groundbreaking research in energy systems and fluid mechanics. His expertise has also extended to supervising numerous Ph.D. and postdoctoral students, and his extensive experience underscores his commitment to advancing mechanical engineering education and research.

🏅Awards: 

Dr. Saidi has received numerous prestigious awards, including the Khwarizmi International Award for Applied Research and the UNIDO Award. He was named Nationwide Distinguished Professor by the Iranian Society of Mechanical Engineers in 2013 and has supervised multiple award-winning theses recognized by ISME and other organizations. He has been honored as the Distinguished Professor of Sharif University of Technology multiple times for his excellence in research and teaching. These accolades reflect his profound impact on mechanical engineering and his dedication to fostering innovation and academic excellence.

🔬Research Focus:

Dr. Saidi’s research focuses on thermo-fluid dynamics, energy conversion systems, and micro/nanofluidic phenomena. His work includes modeling two-phase flows, biofuel combustion, and energy-efficient building systems. He has contributed significantly to the development of advanced heat exchangers, desiccant wheels for air conditioning, and renewable energy systems. His research bridges theoretical and applied engineering, addressing global challenges in energy sustainability and thermal management. Dr. Saidi’s interdisciplinary approach continues to influence mechanical engineering and energy sciences.

Publication Top Notes:

Title: Experimental modeling of vortex tube refrigerator
Authors: MH Saidi, MS Valipour
Citations: 291
Year: 2003

Title: Thermo‐economic‐environmental multiobjective optimization of a gas turbine power plant with preheater using evolutionary algorithm
Authors: H Barzegar Avval, P Ahmadi, AR Ghaffarizadeh, MH Saidi
Citations: 222
Year: 2011

Title: Modeling and simulation of desiccant wheel for air conditioning
Authors: FE Nia, D Van Paassen, MH Saidi
Citations: 194
Year: 2006

Title: Exergoeconomic optimization of a trigeneration system for heating, cooling and power production purpose based on TRR method and using evolutionary algorithm
Authors: H Ghaebi, MH Saidi, P Ahmadi
Citations: 149
Year: 2012

Title: Visual technique for detection of gas–liquid two-phase flow regime in the airlift pump
Authors: P Hanafizadeh, S Ghanbarzadeh, MH Saidi
Citations: 138
Year: 2011

Title: Exergy model of a vortex tube system with experimental results
Authors: MH Saidi, MRA Yazdi
Citations: 136
Year: 1999

Title: Combined electroosmotically and pressure driven flow of power-law fluids in a slit microchannel
Authors: A Babaie, A Sadeghi, MH Saidi
Citations: 108
Year: 2011

Title: Viscous dissipation effects on thermal transport characteristics of combined pressure and electroosmotically driven flow in microchannels
Authors: A Sadeghi, MH Saidi
Citations: 99
Year: 2010

Title: Shear‐rate‐dependent rheology effects on mass transport and surface reactions in biomicrofluidic devices
Authors: A Sadeghi, Y Amini, MH Saidi, H Yavari
Citations: 98
Year: 2015

Title: Visualization and comparative investigations of pulsating ferro-fluid heat pipe
Authors: A Gandomkar, MH Saidi, MB Shafii, M Vandadi, K Kalan
Citations: 97
Year: 2017

 

 

 

 

Assoc. Prof. Dr.Javad Rahebi | Thermodynamics Award | Best Researcher Award

Assoc. Prof. Dr.Javad Rahebi | Thermodynamics Award | Best Researcher Award

Assoc. Prof. Dr.Javad Rahebi | istanbul topkapi university | Turkey

Javad Rahebi is an accomplished academic and researcher in the field of Electric and Electronic Engineering. He obtained his Ph.D. from Gazi University, Turkey, in 2015, specializing in digital signal processing and communication systems. Currently an Assistant Professor at Istanbul Topkapi University, he has previously held faculty positions at several institutions, including Altinbas University and the University of Turkish Aeronautical Association. Rahebi is known for his contributions to the integration of artificial intelligence in engineering applications, focusing on optimization methods. His commitment to education is reflected in his extensive teaching experience across multiple universities, where he has delivered courses in MATLAB, Simulink, and digital image processing. He actively engages in research collaborations, publishing numerous papers in prestigious journals, and serves as a keynote speaker at various conferences, enhancing his reputation in the academic community.

Professional Profile:

Google Scholar:

Scopus

Summary of Suitability for Award:

Javad Rahebi’s profile exemplifies the qualities of a distinguished researcher worthy of the “Best Researcher Awards.” With a Ph.D. in Electric and Electronic Engineering, he has specialized in areas critical to modern technology, such as digital signal processing and artificial intelligence. His active involvement in academia, particularly as an Assistant Professor, highlights his commitment to education and knowledge dissemination. Rahebi’s research output is impressive, with numerous publications in reputable journals that contribute significantly to the fields of optimization and communication systems. His role as a keynote speaker at various conferences further establishes him as a thought leader in his domain. Rahebi’s innovative approaches to integrating AI into engineering applications demonstrate his potential to impact both research and industry positively.

🎓Education:

Javad Rahebi pursued his academic journey with a strong focus on engineering. He earned his B.S. in Communication Engineering from Azad University of Oromieh, Iran, in 2005. Building on this foundation, he obtained his M.Sc. in Communication Engineering from Sadjad University of Technology, Mashhad, Iran, in 2009. His quest for knowledge culminated in a Ph.D. degree in Electric and Electronic Engineering from Gazi University, Turkey, between 2011 and 2015. During his doctoral studies, Rahebi specialized in digital signal processing, which laid the groundwork for his future research endeavors. His educational background is complemented by relevant coursework in digital image processing, artificial intelligent systems, and optimization methods, equipping him with a robust skill set that supports his current research and teaching activities.

🏢Work Experience:

Javad Rahebi has built a distinguished academic career with extensive teaching and research experience. Since September 2020, he has served as an Assistant Professor at Istanbul Topkapi University, where he imparts knowledge in various engineering disciplines. Prior to this role, he was an Assistant Professor at Altinbas University from September 2019 to August 2020 and the University of Turkish Aeronautical Association from October 2015 to August 2019. His professional experience extends to practical applications of engineering principles, having worked with FİGES A.Ş. and Havelsan in Ankara, Turkey, focusing on signal processing and teaching MATLAB and Simulink. Rahebi has also contributed to curriculum development by teaching optimization, artificial neural networks, and MATLAB courses across multiple universities. His diverse experience equips him to bridge theoretical concepts with real-world applications, enhancing the educational experience of his students.

🏅Awards:

Throughout his academic career, Javad Rahebi has garnered recognition for his contributions to engineering and education. He has been actively involved in organizing international conferences, such as the Imeset International Conference (IMESET), highlighting his commitment to advancing academic discourse. Rahebi’s work has also earned him opportunities as a keynote speaker, notably presenting on “Optimization Methods in Engineering” at Rajalakshmi Engineering College in Chennai, India, in April 2018. His publications in high-impact journals reflect his research excellence, showcasing innovative applications of artificial intelligence in engineering. The acknowledgment of his research contributions is evidenced by the citations and collaborations with esteemed scholars in the field. Rahebi’s dedication to his profession and his students is further exemplified by his continuous efforts to enhance educational methodologies and foster a collaborative research environment.

🔬Research Focus:

Javad Rahebi’s research primarily revolves around signal processing, communication systems, and the application of artificial intelligence in engineering. His work encompasses the development and optimization of algorithms for various applications, including deep learning techniques for image processing and cybersecurity. Rahebi has contributed significantly to the field of optimization methods, exploring swarm intelligence algorithms, such as the Fishier Mantis Optimizer and Harris Hawks Optimization, to enhance the efficiency of complex systems. His research also extends to the techno-economical operation of microgrids, focusing on real-time decision-making under uncertainties. Additionally, he investigates the integration of machine learning with traditional engineering methodologies to improve diagnostic processes in medical applications, such as colon cancer detection. Through his interdisciplinary approach, Rahebi aims to bridge the gap between theoretical research and practical applications, contributing to advancements in both engineering and technology.

Publication Top Notes:

  • Title: A new approach to optic disc detection in human retinal images using the firefly algorithm
    Citations: 72
  • Title: Retinal blood vessel segmentation with neural network by using gray-level co-occurrence matrix-based features
    Citations: 67
  • Title: Skin lesion segmentation method for dermoscopy images using artificial bee colony algorithm
    Citations: 65
  • Title: Multilevel thresholding of images with improved Otsu thresholding by black widow optimization algorithm
    Citations: 60
  • Title: A Study of Deep Neural Network Controller‐Based Power Quality Improvement of Hybrid PV/Wind Systems by Using Smart Inverter
    Citations: 58