Afşin Baran Bayezit | Engineering | Research Excellence Award

Mr. Afşin Baran Bayezit | Engineering | Research Excellence Award

Research Assistant at Istanbul Technical University | Turkey

Research engineer specializing in maritime artificial intelligence and control systems, with strong expertise in reinforcement learning, machine learning, and control theory for autonomous platforms. Demonstrates proficiency in developing and validating intelligent control algorithms using Python, embedded systems, and ROS, with hands-on implementation in real-world and model-scale environments. Contributed to advanced research in ship dynamics, autopilot systems, and safety modeling through data-driven approaches. Experienced in integrating sensors, actuators, and high-performance computing tools to optimize system performance. Professional experience reflects a consistent focus on innovative, experimentally validated solutions for autonomous maritime systems, delivering impactful contributions to intelligent navigation, system efficiency, and safety.

Citation Metrics (Google Scholar)

40

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Citations
32

i10index
1

h-index
2

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Stergios Mavromatis | Engineering | Research Excellence Award

Dr. Stergios Mavromatis | Engineering | Research Excellence Award

Associate Professor | Technical University of Athens | Greece

Dr. Stergios Mavromatis is an academic researcher specializing in transportation engineering with a strong focus on road design safety, vehicle dynamics, and highway geometric design. His research explores vehicle–road interaction, stopping sight distance, and safety performance on complex road alignments to enhance traffic safety. He has contributed extensively through scholarly publications on traffic behavior, infrastructure risk factors, and data-driven safety evaluation methods. His research approach combines analytical modeling, simulation techniques, and empirical analysis to develop effective and practical engineering solutions. His work has had a meaningful impact on improving road safety practices, supporting infrastructure planning, and informing policy and safety assessment frameworks at broader levels.

Citation Metrics (Scopus)

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Citations
131

Documents
43

h-index
7

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Young Won Kim | Engineering | Research Excellence Award

Dr. Young Won Kim | Engineering | Research Excellence Award

Senior Researcher | Korea Institute of Industrial Technology | South Korea

Dr. Young Won Kim is a researcher specializing in advanced manufacturing, smart materials, and energy harvesting technologies, with strong expertise in additive manufacturing, digital twin systems, and nano/micro-fabrication. His research focuses on triboelectric and piezoelectric nanogenerators, sensor development, and AI-driven predictive modeling for smart manufacturing applications. He has contributed extensively to high-impact international journals as both lead and corresponding author, particularly in nanomaterials, flexible electronics, and biomedical scaffolds. With 68 publications, 1,085 citations, and an h-index of 17, his work reflects strong academic impact. His professional experience spans academic and industrial research environments, integrating machine learning, materials science, and mechanical engineering to develop innovative systems for energy, healthcare, and intelligent industrial technologies.

Citation Metrics (Scopus)

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Citations
1085

Documents
68

h-index
17

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Featured Publications

Genetic Insights into Avian Influenza Resistance in Jeju Island Chickens

– Journal of Animal Science and Technology, 2025

Jingyang Mao | Engineering | Best Researcher Award

Dr. Jingyang Mao | Engineering | Best Researcher Award

Lecturer Shanghai Institute of Technology China

🧑‍🏫 Dr. Jingyang Mao is a dedicated lecturer at the School of Electrical and Electronic Engineering, Faculty of Intelligence Technology, Shanghai Institute of Technology. With a Ph.D. in Control Science and Engineering from the University of Shanghai for Science and Technology (2022), he specializes in cutting-edge research on networked control systems and cyber-physical systems. His academic journey also includes a visiting scholar tenure at Louisiana State University, USA (2019–2021). Dr. Mao’s work bridges theoretical innovations with practical applications in modern engineering systems.

Profile

Orcid

Education

🎓 Ph.D. in Control Science and Engineering (2022)

  • University of Shanghai for Science and Technology, Shanghai, China

✈️ Visiting Scholar (2019–2021)

  • Department of Electrical and Computer Engineering, Louisiana State University, USA

Experience

👨‍💻 Lecturer (2022–Present)

  • School of Electrical and Electronic Engineering, Shanghai Institute of Technology
  • Focus: Cyber-physical systems, networked control, and adaptive filtering

Research Interests

🔍 Dr. Mao’s research interests lie in the fields of:

  • Cyber-physical systems 🌐
  • Multi-rate systems ⏱️
  • Joint recursive filtering 🔄
  • Unknown input estimation
  • Adaptive event-triggered mechanisms ⚙️

Awards

🏆 Award Nomination: Best Researcher Award
Recognized for groundbreaking contributions to the theory and application of cyber-physical systems.

Publications Top Notes:

📄 “Recursive filtering of multi-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms”

Event‐based reduced‐order H∞$H_{\infty }$ estimation for switched complex networks based on T‐S fuzzy model

Recursive filtering of multi-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms

Event-Based Distributed Adaptive Kalman Filtering With Unknown Covariance of Process Noises