Dr. vassilios lekidis | Engineering | Best Researcher Award

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Dr. vassilios lekidis | Engineering | Best Researcher Award

HEAD OF EARTHQUAKE RESISTANT BRANCH, OASP-ITSAK, Greece

Dr. Vassilios Lekidis is a distinguished Greek civil engineer and expert in earthquake engineering, with over four decades of professional and academic experience. Based in Thessaloniki, Greece, he has served as the General Director of the Institute of Engineering Seismology and Earthquake Engineering (ITSAK) across multiple terms, guiding key national and international seismic risk management projects. His contributions span leadership, engineering consulting, and high-impact research, particularly in structural dynamics and seismic vulnerability assessments.

Publication Profile

Scopus

🎓 Education Background

Dr. Lekidis holds a Ph.D. in Earthquake Engineering and Finite Elements (1995) and a B.Sc. in Engineering (1997) from the Aristotle University of Thessaloniki. He also earned an M.Sc. in Engineering from Delft University of Technology, Netherlands (1998), specializing in static and dynamic structural analysis. His educational foundation merges deep theoretical mechanics with advanced computational methods.

🏗️ Professional Experience

Beginning his career in the early 1980s, Dr. Lekidis led construction operations at top-tier Greek contracting firms like AKTOR and SARANTOPOULOS. He later transitioned to a consulting engineer role, focusing on seismic resilience for buildings, bridges, and silos. Most notably, he served three terms as General Director of ITSAK, contributing to policy, structural safety, and international seismic risk reduction efforts. He has been involved in major infrastructure evaluations, including bridges like the Evripos cable-stayed bridge.

🏅 Awards and Honors

Dr. Lekidis has held numerous prestigious appointments, such as Vice President of the Technical Chamber of Greece (Central Macedonia, 2009–2012), member of Greece’s Permanent Earthquake Planning Committee, and board member of ITSAK and EGNATIA SA. He has also participated in forming national seismic codes and organized engineering congresses. His esteemed reputation in seismology and engineering has been recognized by both scientific and governmental institutions.

🔬 Research Focus

His research expertise encompasses seismic behavior of structures, vulnerability assessment, remote sensing for structural monitoring, and the finite element analysis of infrastructure. He has led or contributed to European and NATO-supported projects including SERINA, EUROSEISTEST, and HiPER-CRACK. His scholarly work bridges theory and application, especially for seismic instrumentation and performance of reinforced concrete and bridge systems under seismic load.

🧩 Conclusion

Dr. Vassilios Lekidis exemplifies excellence in structural engineering and seismic safety. His leadership in ITSAK, robust academic portfolio, and dedication to earthquake risk reduction underscore his impact on both engineering practice and public safety. As a visionary and veteran in the field, his ongoing legacy continues to shape modern earthquake engineering in Greece and beyond.

Publication Top Notes

Experimental evaluation of a practical methodology for assessing the seismic demand from acceleration-sensitive secondary systems installed in R.C. buildings

 

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

 

Xingjie Xu | Engineering | Best Researcher Award

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Mr. Xingjie Xu | Engineering | Best Researcher Award

Student/Member, Zhejiang University, China

🎓 Xingjie Xu is an accomplished graduate student from Zhejiang University, where he has been honored with titles such as “Outstanding Graduate Student” and “Outstanding Graduate.” With a master’s degree from Zhejiang University, Xingjie focuses his research on Readout Circuit Design for RRAM Array-based Computing in Memory Architecture. He has made significant contributions to his field, including publishing articles in esteemed journals and actively participating in innovative research projects.

Profile

ORCID

 

Education

📚 Xingjie Xu earned his master’s degree from Zhejiang University. His academic journey is marked by his achievements as an “Outstanding Graduate Student” and “Outstanding Graduate” at Zhejiang University, where he has excelled in his research and academic pursuits.

Experience

🔬 Xingjie Xu’s experience encompasses notable research in the field of in-memory computing. He has designed low-power and small-area SAR ADCs for in-memory computing and developed current-controlled oscillator-type readout circuits. His hands-on experience in these projects highlights his expertise and dedication to advancing technology in his area of focus.

Research Interests

🧠 Xingjie Xu’s research interests lie in Readout Circuit Design for RRAM Array-based Computing in Memory Architecture. He is particularly focused on developing efficient, low-power, and small-area designs for in-memory computing applications, contributing to the advancement of modern computing architectures.

Awards

🏅 Xingjie Xu has received several prestigious awards, including the title of “Outstanding Graduate Student of Zhejiang University” and “Outstanding Graduate of Zhejiang University.” These accolades recognize his exceptional academic performance and contributions to research.

Publications

A 0.0025mm² 8-bit 70MS/s SAR ADC with a Linearity-Improved Bootstrapped Switch for Computation in Memory

Readout Circuit Design for RRAM Array-Based Computing in Memory Architecture

 

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

Yi Tang | Engineering | Best Researcher Award

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Dr. Yi Tang | Engineering | Best Researcher Award

Lecturer, Yantai University, China

Yi Tang is a Lecturer in the School of Electromechanical and Automotive Engineering at Yantai University, China. With a Doctor of Engineering degree, his expertise lies in Vehicle Engineering, particularly in the sub-division of Antenna Array.

Profile

Scopus

Education 📚

Yi Tang earned his B.S. and M.S. degrees in mechanical engineering from Yantai University, followed by a Ph.D. from the School of Automotive Engineering at Dalian University of Technology.

Experience 🛠️

Yi Tang has been contributing to academia as a Lecturer at Yantai University since May 2024, focusing on research in design optimization within various fields of Vehicle Engineering.

Research Interests 🔬

Yi Tang’s research interests encompass design optimization in MIMO systems, phased arrays, and metamaterials, particularly emphasizing on antenna array technologies.

Awards 🏆

Yi Tang has received the Best Researcher Award for his significant contributions to the field of Vehicle Engineering, particularly in antenna array design optimization.

Publications Top Notes

Non-uniform strip-array decoupling structure of the MIMO antenna-arrays for the DSRC application (2023) – cited 1 time

Gradient-based optimization method for interference suppression of linear arrays by the amplitude-only and phase-only control (2022) – cited 2 times

Pattern synthesis considering mutual coupling for peak sidelobe suppression and null controlling via element rotation and phase optimization (2022) – cited 5 times

Shape optimization method for curved-groove DGS of MIMO antenna-array based on the trigonometric function expansion (2021) – cited 3 times

Optimization method for pattern synthesis of sparse planar arrays considering mutual coupling and nonoverlapping constraint (2020) – cited 10 times