Elyas Rostami | Mechanical Engineering | Best Researcher Award

Posted on by sciencefather

Dr. Elyas Rostami | Mechanical Engineering | Best Researcher Award

Dr. Elyas Rostami is a distinguished faculty member at Buein Zahra Technical and Engineering University, specializing in Aerospace Engineering 🚀. With a solid academic background, he earned his B.Sc. in Mechanical Engineering 🛠️ from Mazandaran University, followed by an M.Sc. in Aerospace Engineering ✈️ from Tarbiat Modares University, and completed his PhD 🎓 at K. N. Toosi University of Technology. Dr. Rostami is an active researcher with numerous journal articles 📄, books 📚, and research projects 🔍 to his credit. His professional interests lie in aerospace propulsion systems, spray and atomization 💧, fluid mechanics 🌊, and sustainable energy applications ⚡. As a dedicated educator 👨‍🏫 and reviewer, he contributes to shaping future engineers while advancing scientific knowledge through research collaborations 🤝, publishing, and mentoring.

Profile

Education 🎓

Dr. Elyas Rostami holds a B.Sc. in Mechanical Engineering 🛠️ from Mazandaran University, laying the foundation for his technical expertise. He pursued his M.Sc. in Aerospace Engineering ✈️ at Tarbiat Modares University, where he refined his knowledge in aerodynamics, propulsion, and fluid mechanics 🌬️. Driven by academic excellence, he earned his Ph.D. in Aerospace Engineering 🚀 from K. N. Toosi University of Technology, specializing in thermodynamics, propulsion systems 🔥, and energy-efficient solutions 💡. His academic path reflects deep commitment to understanding advanced mechanical and aerospace systems 🔧. Through rigorous coursework, experimental research, and publications 📝, Dr. Rostami has cultivated profound expertise that bridges theory and practice 🧠💪, enabling him to address modern aerospace challenges with innovative thinking 🚀.

Experience 👨‍🏫

Dr. Elyas Rostami serves as a faculty member 👨‍🏫 at Buein Zahra Technical and Engineering University, where he imparts knowledge in Aerospace Engineering 🚀. His career spans academic teaching 📖, research leadership 🔬, article peer reviewing 🧐, and supervising research projects 🔍. He has authored multiple scientific papers 📝 and books 📚, advancing the field of propulsion systems, spray technology 💧, and fluid mechanics 🌊. Beyond academia, Dr. Rostami actively engages with industry via research collaborations 🤝 and applied projects that explore new energies 🌱 and aerospace applications ✈️. His professional journey demonstrates versatility and dedication, contributing both as an educator and innovator 🎓⚙️. His research passion and practical approach shape students into future-ready engineers, while his publications impact global scientific discourse 🌐.

Awards & Recognitions 🏅

Dr. Elyas Rostami’s career is marked by academic excellence and research distinction 🎖️. His scholarly contributions earned him recognition through research publications in reputable journals 🏅, invitations to review articles 🧐, and participation in collaborative research projects 🤝. He has authored a scientific book 📘 and continuously advances his field through active publishing and innovation 🌟. His expertise in aerospace propulsion 🔥 and fluid dynamics 🌊 has positioned him as a valued academic and research professional. The depth of his work reflects both national and international acknowledgment, solidifying his reputation as a committed and impactful researcher 🌍. Dr. Rostami’s work embodies passion for engineering, teaching excellence, and scientific advancement 💡🔬.

Research Interests 🔬

Dr. Elyas Rostami’s research focuses on fluid mechanics 🌊, aerospace propulsion systems 🚀, spray and atomization processes 💧, and the use of renewable energies in industrial applications 🌱. His investigations address the thermodynamics of propulsion systems 🔥, advancing efficiency and performance in aerospace technology ✈️. He integrates experimental and computational approaches 🖥️ to explore new energy solutions and optimize spray behavior under different conditions ⚙️. Through research projects 🔬, journal articles 📄, and book authorship 📚, he contributes to the understanding of modern aerospace challenges. Dr. Rostami’s work supports both academic progress and industrial innovation 💡, making significant strides in the development of sustainable and high-performance propulsion technologies 🌍🚀.

Publications 

Zhenxing Cheng | Motor drive | Best Researcher Award

Posted on by sciencefather

Dr. Zhenxing Cheng | Motor drive | Best Researcher Award

Dr. Zhenxing Cheng is a dedicated researcher in electrical engineering at Harbin Institute of Technology, China. He earned his B.S. and M.S. degrees from Shandong University in 2017 and 2020, respectively. His expertise lies in parameter identification, robust control, and model predictive control of Permanent Magnet Synchronous Motors (PMSM). With a strong research background, he has contributed significantly to high-speed PMSM drive control technology, focusing on harmonic suppression, startup stability, and high-performance voltage regulation. His work has been validated through national and provincial-level research projects. Dr. Cheng has published numerous SCI-indexed journal papers and holds a patent in his research domain. His collaborations include contributions to The National Key R&D Plan and Guangdong Provincial Key Laboratory projects. As an active member of the research community, he continues to push the boundaries of electrical engineering, driving advancements in PMSM control technology.

Profile

Education 🎓

Dr. Zhenxing Cheng obtained his B.S. and M.S. degrees in Electrical Engineering from Shandong University, China, in 2017 and 2020, respectively. His academic journey has been marked by a strong foundation in electrical engineering principles, control systems, and power electronics. Currently, he is pursuing a Ph.D. in Electrical Engineering at Harbin Institute of Technology (HIT), where his research focuses on advanced motor control techniques, parameter identification, and model predictive control for Permanent Magnet Synchronous Motors (PMSM). His education has equipped him with extensive knowledge of LCL filters, active damping, and discrete methods for current control. Dr. Cheng has actively contributed to research projects funded under The National Key R&D Plan and Guangdong Provincial Key Laboratory. His rigorous academic training and research experiences have positioned him as a promising scholar in the field of electrical engineering.

Experience 👨‍🏫

Dr. Zhenxing Cheng has extensive research experience in motor control and power electronics. He has worked on multiple national and provincial-level research projects, including The National Key R&D Plan and Guangdong Provincial Key Laboratory grants. His expertise spans harmonic suppression, robust startup, and steady-state error minimization in high-speed PMSM applications. As a Ph.D. researcher, he has collaborated with leading scientists to propose improved control strategies for Permanent Magnet Synchronous Starter-Generators. His work has resulted in 12 journal publications, including SCI and Scopus-indexed papers. He has also contributed to four industry-sponsored consultancy projects and has one patent in process. Dr. Cheng is actively engaged in developing novel bilinear methods for current control and reducing back electromotive force effects in PMSM systems. His contributions continue to enhance the efficiency and reliability of motor control technologies.

Research Interests 🔬

Dr. Zhenxing Cheng’s research revolves around advanced control strategies for Permanent Magnet Synchronous Motors (PMSM). His work focuses on parameter identification, robust control, and model predictive control techniques to enhance motor performance. He specializes in harmonic suppression, active damping, steady-state error minimization, and bilinear methods for current control. His research contributions have been validated in national and provincial-level projects, particularly in high-speed Permanent Magnet Synchronous Starter-Generator (PMS-SG) drive control. He has also explored LCL filter optimization, discrete control methods, and current harmonic reduction techniques to improve the efficiency of power systems. Dr. Cheng has published 12 journal papers and holds a patent for his innovative motor control methodologies. His research aims to develop high-performance, energy-efficient PMSM control systems, benefiting industries such as renewable energy, automotive, and aerospace. His ongoing projects continue to shape the future of motor control and power electronics.

Awards & Recognitions 🏅

Dr. Zhenxing Cheng has received recognition for his contributions to electrical engineering research. His notable honors include funding under The National Key R&D Plan and Guangdong Provincial Key Laboratory grants for his work on PMSM drive control systems. He has been acknowledged for his outstanding publications in SCI and Scopus-indexed journals, with 12 journal articles demonstrating his expertise in motor control, parameter identification, and robust control techniques. His research on harmonic suppression and high-performance voltage regulation has earned him industry collaborations and consultancy projects. He has been nominated for the Best Researcher Award for his innovative work in LCL filter optimization, active damping techniques, and model predictive control. His patent further solidifies his reputation as an emerging leader in the field. Dr. Cheng continues to push the boundaries of electrical engineering, aiming for excellence in research and technological advancements.

Publications 📚

Guoliang Wang | Control Science and Engineering | Best Researcher Award

Posted on by sciencefather

Prof. Guoliang Wang | Control Science and Engineering | Best Researcher Award

 Guoliang Wang is a Professor at the Department of Automation, School of Information and Control Engineering, Liaoning Petrochemical University. 📚 With extensive expertise in control theory and automation, he has made significant contributions to Markov jump systems, stochastic system theory, and big data-driven fault detection. 🚀 He has published 86 journal articles indexed in SCI and Scopus, authored books, and holds 9 patents. 🏅 As a postdoctoral researcher at Nanjing University of Science and Technology (2011-2016), he furthered his research in control engineering. 🎓 His professional memberships include the Chinese Association of Automation and the Chinese Mathematical Society. 🏆 He has received the Liaoning Province Natural Science Academic Achievement Second Prize for his contributions. His innovative work in optimization, reinforcement learning, and system modeling continues to impact academia and industry. 🌍

Profile

Education 🎓

Guoliang Wang earned his Ph.D. in Control Theory and Control Engineering from Northeastern University (2007-2010). 🎓 Prior to that, he completed his Master’s degree in Operations Research and Control Theory at the School of Science, Northeastern University (2004-2007). 📖 His academic foundation is built on advanced mathematical modeling, stochastic systems, and automation, equipping him with expertise in complex system analysis. 🏗️ His research has consistently focused on optimizing control mechanisms and enhancing stability in dynamic environments. As a Postdoctoral Researcher at Nanjing University of Science and Technology (2011-2016), he deepened his understanding of control theory, reinforcement learning, and system dynamics. 🏅 His education has been pivotal in developing innovative methodologies for automation, fault detection, and big data-driven decision-making.

Experience 👨‍🏫

Since March 2010, Guoliang Wang has been a Professor at Liaoning Petrochemical University, specializing in automation and control engineering. 🏫 He served as Associate Dean of the Department of Automation (2013-2014), leading academic and research initiatives. 🌍 His postdoctoral research at Nanjing University of Science and Technology (2011-2016) explored stochastic system applications and control theory advancements. 🔬 Over the years, he has led multiple research projects, consulted on industrial automation solutions, and contributed to major technological advancements. 💡 His work has resulted in 86 peer-reviewed journal publications, 9 patents, and significant contributions to adaptive dynamic programming. 🚀 As a member of various professional associations, he actively collaborates with international researchers and institutions. His expertise spans Markov jump systems, stochastic modeling, fault detection, and AI-driven automation strategies

Research Interests 🔬

Guoliang Wang’s research spans modeling and control of Markov jump systems, stochastic system applications, and AI-driven automation. 🤖 His work in fault detection, diagnosis, and big data-driven prediction has led to practical advancements in system optimization. 📊 He has proposed novel stabilizing controllers, developed reinforcement learning-based optimization models, and improved system performance through convex optimization techniques. 🔍 His expertise in stochastic control extends to image processing, predictive analytics, and adaptive dynamic programming. 📡 His research contributions have significantly enhanced system stability and reduced computational complexity in industrial automation. 💡 Through collaborations with global researchers, he continues to push the boundaries of automation, AI, and smart control systems. 🚀 His work integrates theoretical insights with real-world applications, ensuring a lasting impact on engineering and technology. 🌍

Guoliang Wang has been recognized for his outstanding contributions to automation and control engineering. 🏆 He received the prestigious Liaoning Province Natural Science Academic Achievement Second Prize for his groundbreaking research. 🏅 His achievements include being a member of elite research committees such as the Youth Committee of the Chinese Association of Automation and the Adaptive Dynamic Programming and Reinforcement Learning Technical Committee. 🎖️ He has been an invited speaker at international conferences and has received commendations for his work in optimizing stochastic system control. 📜 His research impact is further reflected in his editorial board membership at the Journal of Liaoning Petrochemical University. ✍️ With numerous patents, consultancy projects, and high-impact research, he continues to receive nominations and accolades in automation, AI, and control system optimization

Publications 📚

  • Sampled-Data Stochastic Stabilization of Markovian Jump Systems via an Optimizing Mode-Separation Method

    IEEE Transactions on Cybernetics
    2025 | Journal article
    DOI: 10.1109/TCYB.2025.3534268
    CONTRIBUTORS: Guoliang Wang; Yaqiang Lyu; Guangxing Guo

  • Stabilization of Stochastic Markovian Jump Systems via a Network-Based Controller

    IEEE Transactions on Control of Network Systems
    2024-03 | Journal article
    DOI: 10.1109/TCNS.2024.3355044
    CONTRIBUTORS: Guoliang Wang; Siyong Song; Zhiqiang Li

  • Almost Sure Stabilization of Continuous-Time Semi-Markov Jump Systems via an Earliest Deadline First Scheduling Controller

    IEEE Transactions on Systems, Man, and Cybernetics: Systems
    2024-01 | Journal article
    DOI: 10.1109/TSMC.2023.3318610
    CONTRIBUTORS: Guoliang Wang; Yunshuai Ren; Zhiqiang Li

  • Stability and stabilisation of Markovian jump systems under fast switching: an averaging approach

    Journal of Control and Decision
    2023-10-02 | Journal article
    DOI: 10.1080/23307706.2022.2127427
    CONTRIBUTORS: Guoliang Wang; Yande Zhang; Yunshuai Ren