Dehai Zhang | Mechanical Engineering | Excellence in Innovation

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Prof. Dehai Zhang | Mechanical Engineering | Excellence in Innovation

Zhengzhou University of Light Industry, Mechanical and Electrical Engineering Institute, China

👨‍🔬 Prof. Dehai Zhang is a distinguished academic and researcher at Zhengzhou University of Light Industry, China. With a strong background in Mechanical Engineering, he specializes in reverse engineering and advanced materials, particularly additive manufacturing and forming process control. Over the years, he has made significant contributions to his field, authoring over 140 research papers, including more than 20 SCI-indexed articles, and holding nine national invention patents. His work has garnered recognition, including two second prizes for Henan Science and Technology Progress Awards.

Publication Profile

ORCID

Education

🎓 Prof. Zhang earned his Ph.D. and Master’s degrees from the School of Mechanical Engineering at Xi’an Jiaotong University, a prestigious institution known for its engineering programs.

Experience

💼 As a professor at Zhengzhou University of Light Industry, Prof. Zhang has led research initiatives and mentored countless students. He has taught core undergraduate courses such as Principles and Design of Automata, Introduction to Mechanical Engineering, and 3D Digital Modeling and Reverse Engineering. In addition, he has completed five provincial and ministerial research projects.

Awards and Honors

🏆 Prof. Zhang’s innovative research has been recognized with two second prizes for Henan Science and Technology Progress Awards. He is also credited with nine national invention patents, reflecting his commitment to advancing practical and theoretical knowledge in mechanical engineering.

Research Focus

🔬 Prof. Zhang’s primary research areas include reverse engineering, advanced materials, additive manufacturing, and forming process control. His groundbreaking work focuses on digital image correlation methods, optical measurement systems, and metal forming technologies.

Conclusion

🌟 Prof. Dehai Zhang is a pioneer in mechanical engineering research and education, bridging the gap between academic inquiry and practical applications. His extensive contributions to reverse engineering and additive manufacturing have cemented his reputation as a leading expert in his field.

Publications

Digital image correlation method for measuring deformations of vinylchloride-coated metal multi-layer sheets – Modern Physics Letters B, 2019, 33(5): 1950050 (18), cited by 18.

A novel 3D optical method for measuring and evaluating springback in sheet metal forming process – Measurement, 2016, 92: 303-317 (SCI: DS4FL), cited by 26.

Strain and mechanical properties of VCM multi-layer sheet and their composites using digital speckle correlation method – Applied Optics, 2015, 54(25): 7534-7541 (SCI: CQ1GB), cited by 32.

Formability Behaviors of 2A12 Thin-wall Part Based on DYNAFORM and Stamping Experiment – Composites: Part B, 2013, 55: 591-598 (SCI: 229XT), cited by 40.

Integrated precision evaluation method for 3D optical measurement system – Proceedings of the Institution of Mechanical Engineers, Part B, Journal of Engineering Manufacture, 2011, 225(6): 909-920 (SCI: 808JP), cited by 20.

Exploitation of photogrammetry measurement system – Optical Engineering, 2010, 49(3): 037005-1-11 (SCI: 586RW), cited by 18.

Uniaxial tensile fracture of stainless steel-aluminum bi-metal – Proceedings of the Institution of Mechanical Engineers, Part C, Journal of Mechanical Engineering Science, 2011, 225(5): 1061-1068 (SCI: 772VY), cited by 22.

 

Hui Peng | Engineering | Best Researcher Award

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Dr. Hui Peng | Engineering | Best Researcher Award

Professor, Central South University, China

👨‍🏫 Hui Peng is a distinguished Professor in the School of Automation at Central South University, Changsha, China. With a prolific career spanning over two decades, he has authored more than 70 papers in international journals and co-invented a patent in Japan. His expertise lies in various aspects of control engineering and statistical science, making significant contributions to industrial process control projects globally.

Profile

ORCID

 

Education

🎓 Hui Peng earned his B.Eng. and M.Eng. degrees in Control Engineering from Central South University, Changsha, China, in 1983 and 1986, respectively. He obtained his Ph.D. in Statistical Science from the Graduate University for Advanced Studies, Hayama, Japan, in 2003.

Experience

💼 Hui Peng has been a Professor at the School of Automation, Central South University, since 1998. He served as a Visiting Professor at the Institute of Statistical Mathematics, Tokyo, Japan, from 2000 to 2004 and again from 2009 to 2010. Since 2010, he has also been a Foreign Cooperative Professor at the Graduate University for Advanced Studies, Japan. His work includes successfully completing over ten industrial process control projects involving diverse systems like marine ships, thermal power plants, and quadrotor helicopters.

Research Interests

🔬 Hui Peng’s research interests are extensive and include nonlinear system modeling, statistical modeling, system identification, nonlinear optimization, signal processing, predictive control, robust control, process control, financial process modeling, and portfolio optimization.

Awards

🏆 Hui Peng has not only authored numerous papers but also co-invented a patent in Japan, reflecting his significant contributions to control engineering and statistical science.

Publications

Market price, excess demand and liquidity dynamics modeling and application to investment decision optimization

Research on Time Varying Variance Financial Time Series Modeling and Portfolio Optimization Methods

State-dependent ARX model-based nonlinear system modeling and robust predictive control

 

Xinke Liu | Engineering | Best Researcher Award

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Assoc Prof Dr. Xinke Liu | Engineering | Best Researcher Award

Assoc. Prof. Shenzhen University, China

👨‍🏫 Liu, Ph.D. is an accomplished Associate Professor at Shenzhen University, specializing in wide bandgap semiconductor materials and electronic devices. With a prolific publication record of over 110 papers as a first or corresponding author, he has garnered more than 3040 citations and an impressive h-index of 31. His research focuses on the development of advanced GaN power electronics using CMOS-compatible materials and processes, aiming to revolutionize wide-bandgap power devices for future computing, 5G/6G communication, and electric cars.

Profile

Google Scholar

Education

🎓 Liu completed his Sc. long in Material Science from the National University of Singapore in 2004. He also holds a Graduate Certificate in Management of Technology from the National University of Singapore, obtained between 2011-2012.

Experience

🔬 Liu has a rich professional background, including hosting roles and research fellowships. He worked with Professor Ali Javey at the University of California, Berkeley, focusing on electronic devices related to novel 2D materials. He also collaborated with Professor Kah-Wee Ang at the National University of Singapore, and served as a professor at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, where he researched GaN-based and GaN/2D heterojunction power devices.

Research Interests

🧠 Liu’s research interests include the development of advanced GaN power electronics using CMOS-compatible materials and processes. He explores advanced electronic devices such as Schottky Barrier Diodes (SBDs), PN Diodes (PNDs), High Voltage High Electron Mobility Transistors (HV-HEMTs), and Radio Frequency High Electron Mobility Transistors (RF-HEMTs). His work aims to produce electronic and optoelectronic chips that will drive innovation in wide-bandgap power devices for computing, communication, and automotive industries.

Awards

🏅 Liu has received numerous awards, including the Shenzhen Youth Science and Technology Award (2023), IEEE Senior Member (2021), Guangdong Provincial Science and Technology Progress Award (2022), and the Excellent Teaching Award of Shenzhen University (2020). He is recognized as one of Stanford University’s World’s Top 2% Scientists (2019, 2020, 2022) and has earned the Shenzhen Peacock Plan B Award (2014), among other honors.

Publications

Artificial synapses based on multiterminal memtransistors for neuromorphic application

Few-layer black phosphorus carbide field-effect transistor via carbon doping

Impact and Origin of Interface States in MOS Capacitor with Monolayer MoS2 and HfO2 High-k Dielectric

Down to ppb level NO2 detection by ZnO/rGO heterojunction based chemiresistive sensors

2D III-Nitride Materials: Properties, Growth, and Applications

 

Najmeh Zamani | Engineering | Best Researcher Award

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Dr. Najmeh Zamani | Engineering | Best Researcher Award 

Postdoc researcher, Concordia university, Canada

🌟 Najmeh Zamani (b. 29th July 1989) is a dedicated researcher in the field of electrical and computer engineering. She is currently a Postdoctoral Researcher at Concordia University, Canada, with a strong academic background from Isfahan University of Technology, Iran. Najmeh’s expertise spans control systems, nonlinear multi-agent systems, and deep learning applications. Married and proficient in both Persian and English, she is recognized for her significant contributions to her field.

 

Profile

Google Scholar

 

Education

🎓 Najmeh Zamani has an impressive academic record, starting with a Bachelor’s degree in Electrical Engineering from Isfahan University (2007-2011), where she ranked 1st. She continued at the same university for her Master’s degree (2011-2014), ranking 3rd, and then pursued a Ph.D. in Electrical Engineering at Isfahan University of Technology (2015-2021), achieving a GPA of 19/20. Her Ph.D. dissertation focused on the “Consensus of Nonlinear Multi-Agent Systems with Time-Delays and Actuator Faults.” Najmeh also completed postdoctoral research at Concordia University, Canada, in 2023.

Experience

💼 Najmeh Zamani has a robust professional background, including roles as a researcher at Isfahan University of Technology, an R&D researcher at Control Farayand Pasargad Company, and an electronic designer at Sirco Company. Her experience spans industrial projects like COVID-19 pandemic prediction models and power electronic boost converter design. Najmeh has also served as a visiting professor and teaching assistant in various institutions, sharing her expertise in control systems and electronics.

Research Interests

🔬 Najmeh Zamani‘s research interests are diverse and cutting-edge. They include distributed control systems and multi-agent systems, adaptive control of nonlinear systems with time-delays and faults, fault estimation and control theory, and control of distributed applications like mobile sensors. She is also passionate about deep learning, probabilistic graphical models (PGM), data-driven control, reinforcement learning, and data analysis.

Awards

🏆 Najmeh Zamani has received several accolades throughout her academic journey. She was ranked 1st among all graduated students in Electrical and Computer Engineering at Isfahan University in 2011. She was also recognized as an outstanding B.Sc. and M.Sc. student from 2007 to 2014. Notably, she received admission offers for both her graduate and doctoral studies at Isfahan University of Technology without needing to take the National Entrance Exam for Graduate Schools.

Publications

N. Zamani, M. Ataei, M. Niroomand, “Analysis and Control of Chaotic Behavior in Boost Converter by Ramp Compensation Based on Lyapunov Exponents Assignment: Theoretical and Experimental Investigation”, Chaos, Solitons and Fractals, 2015, cited by 20 articles. Link.

N. Zamani, J. Askari, M. Kamali, A. Aghdam, “Distributed adaptive consensus tracking control for non-linear multi-agent systems with time-varying delays”, IET Control Theory & Applications, 2020, cited by 15 articles. Link.

H. Kalantari, M. Mojiri, S. Dubljevic, N. Zamani, “Fast l1-MPC Based on Sensitivity Analysis Strategy”, IET Control Theory & Applications, 2020, cited by 10 articles. Link.

N. Zamani, J. Askari, M. Kamali, H. Kalantari, A. Aghdam, “Adaptive Tracking Control for Nonlinear Multi-Agent Systems with Stuck Failures and Unknown Control Directions”, Journal of the Franklin Institute, 2024. Link.

H. Kalantari, M. Mojiri, Najmeh Zamani, “Urban Traffic Control By Fast l1 Model Predictive Control Based on Sensitivity Analysis”, IET Control Theory & Applications, 2024. Link.

Quan Yuan | Engineering | Best Researcher Award

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Prof. Quan Yuan | Engineering | Best Researcher Award

Professor, School of Vehicle and Mobility, Tsinghua University, China

Dr. Quan Yuan is a distinguished professor at the School of Vehicle and Mobility, Tsinghua University. With a Ph.D. in vehicle engineering earned in 1997, Dr. Yuan has made significant contributions to the fields of intelligent vehicles, human factors engineering, traffic safety, and accident analysis. Over his illustrious career, he has led more than 40 research projects, published over 100 papers, and analyzed over 8,000 traffic crashes in Beijing. His research has provided valuable insights and innovations to improve the safety and functionality of intelligent transportation systems.

Profile

ORCID

🎓 Education:

Dr. Quan Yuan received his Ph.D. in Vehicle Engineering in 1997. He further honed his expertise as a postdoctoral research fellow at Tsinghua University from 2000 to 2003. Additionally, he broadened his academic horizon as a visiting scholar at the University of Washington from 2013 to 2014.

💼 Experience:

Dr. Yuan’s professional journey is marked by his role as a professor at Tsinghua University, where he has been instrumental in advancing research in intelligent vehicles and traffic safety. He has completed over 40 research projects and published more than 100 papers. His editorial appointments include roles such as the editorial director for the Journal of Intelligent & Connected Vehicles and associate editor for Digital Transportation and Information.

🔬 Research Interests:

Dr. Yuan’s research interests are centered on intelligent vehicles, traffic safety, and human factors engineering. His work focuses on combining intelligent vehicle technology with traffic safety to develop testing scenarios that enhance vehicle safety. He has also proposed innovative solutions such as a visual and infrared fusion perception recognition method to improve safety in adverse weather conditions and address traffic safety issues in pastoral areas.

🏆 Awards:

Dr. Quan Yuan has received numerous accolades for his contributions to the field of vehicle engineering and traffic safety. He is a recognized senior member of SAE-China and an esteemed member of IEEE. His work has significantly influenced the development and safety of intelligent transportation systems.

Publications 

Paper on Intelligent Vehicle Technology
Study on Traffic Safety and Accident Analysis
Research on Human Factors Engineering in Vehicle Design
Innovations in Traffic Crash Analysis
Book on Vehicle Engineering and Safety