Kanstantsin Miatliuk | Mechanical Engineering | Best Researcher Award

Published on by Global Academic Awards

Prof. Kanstantsin Miatliuk | Mechanical Engineering | Best Researcher Award

Bialystok University of Technology | Poland

Prof. Kanstantsin Miatliuk is a leading researcher in robotics, mechatronics, and systems science, recognized for advancing hierarchical systems theory, mechatronic design methodologies, robotic motion control, intelligent grasping, and neural-network-based modelling. His work spans conceptual modelling of mechatronic and biomechatronic systems, biologically inspired robotics, task-optimized manipulator design, dynamic grasp simulation, UAV photogrammetry, and brain–computer interfaces for mobile robots, as well as cutting-edge robotic work-cell design using virtual simulation tools. With 302 citations, 47 publications, and an h-index of 9, he has made significant contributions across high-impact journals and international conferences, supported by extensive global collaborations, editorial leadership, and involvement in major research initiatives that continue to shape the future of intelligent robotic systems.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

  • Design of a Robotic Work Cell Using Hierarchical Systems Approach and Visual Components Software
    Author, A. A., Author, B. B., Author, C. C., Author, D. D., & Author, E. E. (2025). Design of a robotic work cell using hierarchical systems approach and Visual Components software. Applied Sciences, 15(9), Article 4744.

  • Neural Network Modelling of Kinematic and Dynamic Features for Signature Verification
    Author, A. A., Author, B. B., Author, C. C., Author, D. D., & Author, E. E. (2025). Neural network modelling of kinematic and dynamic features for signature verification. Pattern Recognition Letters, 187, 130–136.

  • Mechatronic Design and Control of a Robot System for Grinding
    Author, A. A., Author, B. B., Author, C. C., & Author, D. D. (Year unavailable). Mechatronic design and control of a robot system for grinding [Conference paper].

  • Task-Oriented Trajectory Optimization for Planar 3R Robot
    Author, A. A., Author, B. B., Author, C. C., Author, D. D., & Author, E. E. (Year unavailable). Task-oriented trajectory optimization for planar 3R robot

Gang Li | Mechanical Engineering | Best Researcher Award

Published on by Global Academic Awards

Assoc. Prof. Dr. Gang Li | Mechanical Engineering | Best Researcher Award

Associate professor, Northeast Electric Power University, China

🔬 Assoc. Prof. Dr. Gang Li is a distinguished researcher in mechanical manufacturing and automation at Northeast Electric Power University. He holds a PhD from South China University of Technology and has led numerous projects in metal material processing, mechanical equipment development, and metrological verification. His expertise includes Ti-6Al-4V material processing, intelligent metering systems, and unmanned technology research. He has authored 10+ SCI papers, holds multiple patents, and has contributed to national and provincial research projects. Passionate about innovation and automation, he actively explores advancements in mechanical engineering. ✨🔧📡

 

Publication Profile

Scopus

🎓 Educational Background

Assoc. Prof. Dr. Gang Li has a strong academic foundation in mechanical engineering and automation. He earned his PhD (2013-2017) 🎓 from South China University of Technology, specializing in Mechanical Manufacturing and Automation. Prior to this, he completed a Master’s degree (2010-2013) 🏅 at Changchun University of Science and Technology, focusing on Machinery Manufacturing and Automation. His first Master’s degree (2004-2008) 🏆 was from Inner Mongolia University of Science and Technology, specializing in Mechanical Design, Manufacture, and Automation. His extensive academic training has contributed significantly to his expertise in mechanical innovation and research. 🔧📡

🔬 Project Experience

Assoc. Prof. Dr. Gang Li has contributed to multiple mechanical and automation research projects. His work on Ti-6Al-4V cutting and surface strengthening technology 🏗️ optimized machining parameters and tools for titanium alloy casing. He played a key role in the Guangdong Provincial Energy Metering and Verification Center ⚡, overseeing equipment installation and debugging. His research on intelligent, unmanned metrological verification 🏭 focused on fault detection and automation. As the principal investigator of the intelligent metering turnover cabinet 📟, he developed a system for efficient energy meter management, enhancing automation and operational efficiency. 🔧🚀

🔬 Research Focus

Assoc. Prof. Dr. Gang Li specializes in mechanical engineering 🏭, with a focus on materials processing and surface strengthening technologies. His research explores electropulsing-assisted ultrasonic strengthening ⚡🔊, particularly its impact on fatigue properties of Ti–6Al–4V alloys 🏗️. He also investigates fretting friction characteristics 🔧, optimizing heat-treated alloys for enhanced durability. His contributions in metallurgical and materials science 🏺 are crucial for improving the performance and lifespan of structural components in aerospace ✈️, automotive 🚗, and energy sectors ⚡. With multiple publications and citations, his work advances manufacturing and materials innovation. 🚀

Publication Top Notes

Effect of Electropulsing-Assisted Ultrasonic Strengthening on Fatigue Properties of HIP Ti–6Al–4V Alloy

Study on surface fretting friction properties of heat-treated HIP Ti-6Al-4 V alloy after heating-assisted ultrasonic surface strengthening