Jose C Matos | Civil Engineering | Best Researcher Award

Prof Dr. Jose C Matos | Civil Engineering | Best Researcher Award

Prof Dr. Jose C Matos, University of Minho, Portugal

Based on the detailed curriculum vitae provided, Prof. Dr. José C. Matos appears to be a strong candidate for the Research for Best Researcher Award.

Publication Profile

Scopus

Google Scholar

Academic and Professional Excellence:

Prof. Dr. José C. Matos holds a PhD in Civil Engineering with a focus on probabilistic safety assessment of existing structures. His academic journey has been marked by excellence, with a unanimous and laudatory approval for his doctoral dissertation.

Research Contributions:

He has authored or co-authored over 250 publications in international conferences and journals, demonstrating a significant impact in his field. His research areas include asset management systems, life cycle costs, safety assessment, risk assessment, and sustainability.

Leadership and Coordination:

Prof. Matos plays a crucial role in leading and coordinating international research projects such as SIRMA, InfraCrit, and SAFEWAY, all of which focus on critical infrastructure management and sustainability. His involvement in these projects highlights his leadership and ability to drive impactful research.

International Recognition:

He actively participates in international committees and has held prestigious positions such as Past-President of the European Association on Quality Control of Bridges and Structures (EuroStruct) and Vice-President of the International Association for Bridge and Structural Engineering (IABSE).

Innovative Contributions:

Prof. Matos holds patents related to collision detection in metal guards, showcasing his contributions to practical and innovative solutions in civil engineering.

Global Influence:

His participation as a speaker and organizer at numerous international conferences and workshops further underscores his influence and recognition in the global academic community.

Publication Top Notes

  • 📘 An innovative adaptive sparse response surface method for structural reliability analysis | Cited by: 83 | Year: 2018
  • 🏛️ Fragility curves for free and restrained rocking masonry façades in one-sided motion | Cited by: 69 | Year: 2018
  • 🕵️‍♂️ Visual inspection and bridge management | Cited by: 63 | Year: 2018
  • 🚂 Reliability-based assessment of existing masonry arch railway bridges | Cited by: 63 | Year: 2016
  • 🏗️ Iron-Based shape memory alloy for strengthening of 113-Year bridge | Cited by: 57 | Year: 2021
  • 🚧 Two-stage multiobjective optimization of maintenance scheduling for pavements | Cited by: 51 | Year: 2017
  • 🔍 Comparison of stochastic prediction models based on visual inspections of bridge decks | Cited by: 51 | Year: 2017
  • 🌉 Performance indicators for roadway bridges | Cited by: 51 | Year: 2016
  • 🧱 Condition prediction of existing concrete bridges as a combination of visual inspection and analytical models of deterioration | Cited by: 45 | Year: 2019
  • 🏛️ Probabilistic-based assessment of a masonry arch bridge considering inferential procedures | Cited by: 39 | Year: 2017
  • 🧮 An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures | Cited by: 35 | Year: 2016
  • 🌉 Probabilistic-based assessment of existing steel-concrete composite bridges–Application to Sousa River Bridge | Cited by: 34 | Year: 2019
  • 🛤️ COST Action TU 1406 quality specifications for roadway bridges (BridgeSpec) | Cited by: 34 | Year: 2016
  • 🛠️ Comparison of forecasting models to predict concrete bridge decks performance | Cited by: 32 | Year: 2020
  • 🌍 Analysis of cost overrun and schedule delays of infrastructure projects in low income economies: case studies in Ethiopia | Cited by: 29 | Year: 2021

conclusion

Given these achievements and his active role in advancing research in civil engineering, particularly in the areas of infrastructure management and safety, Prof. Dr. José C. Matos is a suitable candidate for the Research for Best Researcher Award.

 

Ming-Yen Wei | Engineering and Technology | Best Researcher Award

Ming-Yen Wei | Engineering and Technology | Best Researcher Award

Assist Prof Dr Ming-Yen, Wei National Formosa University, Department of Electrical Engineering, Taiwan

Assist. Prof. Dr. Ming-Yen was born in Taichung City, Taiwan 🇹🇼 on April 20, 1983. He earned his Bachelor’s and Master’s degrees in Electrical Engineering from National Formosa University in 2005 and 2007, and his Ph.D. from National Taiwan University of Science and Technology in 2012 🎓. After a decade in industrial technical roles, he joined National Formosa University as an Assistant Professor in early 2023 👨‍🏫. His research interests include motor drive control, embedded systems, control theory applications, mechatronics, and robotics 🤖⚙️.

Publication profile

Scopus

Research focus

Dr. Ming-Yen Wei’s research primarily focuses on the design, control, and implementation of advanced motion control systems and platforms. His work encompasses the development of servo control systems, multi-axis motion chairs, and flight simulators, utilizing CAN bus and microcontroller technologies. Additionally, he has contributed to the creation of motion-cueing algorithms and inverse kinematics for six degrees of freedom (6DoF) platforms. His research has significant applications in robotics, aerospace, and virtual reality simulations, showcasing innovations in precision motion control and system integration.

Publication top notes

Design and Control of a Three-Axis Motion Servo Control System Based on a CAN Bus

Design and Implementation of a New Training Flight Simulator System

Design and Control of a Multi-Axis Servo Motion Chair System Based on a Microcontroller

Design of a DSP-Based Motion-Cueing Algorithm Using the Kinematic Solution for the 6-DoF Motion Platform

Design and implementation of inverse kinematics and motion monitoring system for 6dof platform

Optimal Control-based Motion Cueing Algorithm Design for 6DOF Motion Platform

Design and Implementation of the Inverse Kinematics and Monitoring Module for Six-axis Crank Arm Platform

Design, Analysis, and Implementation of a Four-DoF Chair Motion Mechanism