Dr Liangkun Lu | Mechanical Engineering | Best Researcher Award

Dr Liangkun Lu | Mechanical Engineering | Best Researcher Award

Dr Liangkun Lu, Zhengzhou University of Light Industry, China

Dr. Liangkun Lu, Ph.D. in Mechanical Engineering, joined Zhengzhou University of Light Industry in January 2024 as an A-Class Young Talent. His research focuses on micro/nanoprinting technology πŸ–¨οΈ, high-resolution functional material processing βš™οΈ, and flexible organic field-effect transistor (OFET) fabrication πŸ“‘. He has contributed to multiple national research projects and has published 10+ SCI-indexed papers πŸ“– in high-impact journals like Nature Communications and Microsystems & Nanoengineering. Additionally, he holds three software copyrights πŸ’», showcasing his technological expertise. His innovative contributions make him a strong contender for the Best Researcher Award πŸ…. πŸš€πŸ”¬

Profile

ORCID

SCOPUS

πŸ“š Education

  • πŸŽ“ Ph.D. in Mechanical Engineering – Dalian University of Technology (2019-2023)
  • πŸŽ“ M.Sc. in Mechanical & Electrical Engineering – Guilin University of Electronic Technology (2016-2019)
  • πŸŽ“ B.Sc. in Mechanical Design & Automation – Henan Polytechnic University (2012-2016)

πŸ›  Research Focus

Dr. Lu’s interdisciplinary work integrates nanotechnology, microelectronics, and advanced printing techniques, focusing on:

  • High-Performance MEMS Devices ⚑ – Designing next-gen micro-electromechanical systems.
  • Nanoprinting Technology & Equipment πŸ–¨οΈ – Pioneering advanced printing processes for nanomaterials.
  • Multi-Field Coupled Electrohydrodynamic Simulation πŸŒ€ – Optimizing nano-scale fluid dynamics for precision fabrication.

πŸ’» Software Copyrights

Dr. Lu has developed three patented software solutions for precision nanoprinting control:
1️⃣ Sheath Liquid-Focused Electrohydrodynamic Printing Control Software – 2022SR0919249.
2️⃣ Sheath Gas-Induced Electrohydrodynamic Printing Control Software – 2022SR0919212.

πŸ“– Publications

A Real-Time Monitoring and Measurement Method for Microbubble Morphology Based on Image Processing Technology

πŸ“– Journal: Microchemical Journal (2024)
πŸ‘¨β€πŸ”¬ Authors: Jin, S.; Ye, G.; Guo, Y.; Zhao, Z.; Lu, L.; Liu, Z.; Ding, Z.

A Zinc Oxide Resonant Nano-Accelerometer with Ultra-High Sensitivity

πŸ“– Journal: Nature Communications (2024)
πŸ‘¨β€πŸ”¬ Authors: Xu, P.; Wang, D.; He, J.; Cui, Y.; Lu, L.; Li, Y.; Chen, X.; Liu, C.; Suo, L.; Ren, T. et al.

A High-Frequency SiC Nanobeam Resonator with Ultra-Sensitivity

πŸ“– Journal: Materials and Design (2023)
πŸ‘¨β€πŸ”¬ Authors: Xu, P.; Wang, D.; Cui, Y.; Zhang, Y.; He, J.; Lu, L.; Li, Y.; Chen, X.; Liu, C.; Li, P. et al.

A Zinc Oxide Nanobeam Resonator for Ultrasensitivity Mass Detection

πŸ“– Journal: Advanced Electronic Materials (2023)
πŸ‘¨β€πŸ”¬ Authors: Wang, D.; Xu, P.; Cui, Y.; Zhang, Y.; He, J.; Lu, L.; Li, Y.; Chen, X.; Liu, C.; Li, P. et al.

Computational Study of Drop-on-Demand Coaxial Electrohydrodynamic Jet and Printing Microdroplets

πŸ“– Journal: Micromachines (2023)
πŸ‘¨β€πŸ”¬ Authors: Abbas, Z.; Wang, D.; Lu, L.; Li, Y.; Pu, C.; Chen, X.; Xu, P.; Liang, S.; Kong, L.; Tang, B.

Electrohydrodynamic Jet Printed Bioinspired Piezoelectric Hair-Like Sensor for High-Sensitivity Air-Flow Detection

πŸ“– Journal: Smart Materials and Structures (2023)
πŸ‘¨β€πŸ”¬ Authors: Wang, D.; Li, Y.; Hu, X.; Lu, L.; Xu, P.; Chen, X.; Liu, C.; Wang, L.; Liu, B.; Suo, L. et al.

High-Performance Flexible Organic Field Effect Transistors with Print-Based Nanowires

πŸ“– Journal: Microsystems and Nanoengineering (2023)
πŸ‘¨β€πŸ”¬ Authors: Lu, L.; Wang, D.; Pu, C.; Cao, Y.; Li, Y.; Xu, P.; Chen, X.; Liu, C.; Liang, S.; Suo, L. et al.

 

Assist. Prof. Dr Chuan-De Liu | Materials in Aerospace Applications | Best Researcher Award

Assist. Prof. Dr Chuan-De Liu | Materials in Aerospace Applications | Best Researcher Award

Assist. Prof. Dr. Chuan-De Liu is a Lecturer at the School of Future Technology, Nanjing University of Information Science and Technology πŸ›οΈ. He holds a Ph.D. in Electrical Engineering from Southeast University (2022) and was a CSC Visiting Scholar at ENSTA-IP Paris, France (2020) 🌍. His research focuses on robotic dexterous manipulation, AI-augmented visual servoing, and autonomous unmanned systems 🚁. He has published high-impact articles in IEEE-CYBER, Complex & Intelligent Systems, and Industrial Robot πŸ“š. His expertise in robotics, AI-driven control, and industrial automation makes him a leading innovator in intelligent robotic systems πŸ†βœ¨.

Assist. Prof. Dr Chuan-De Liu, School of Future Technology, China

Profile

GOOGLESCHOLAR

EducationπŸŽ“πŸ“š

Assist. Prof. Dr. Chuan-De Liu earned his Ph.D. in Electrical Engineering from Southeast University in March 2022 πŸŽ“, where he specialized in robotic planning, control, and AI-driven automation πŸ€–. In September 2020, he was a CSC Visiting Scholar in Robotics at ENSTA-IP Paris, France 🌍, gaining international experience in robotic dexterous manipulation and autonomous systems πŸš€. He previously completed his Master’s degree (MEng) in Electrical Engineering at Southeast University in December 2016 ⚑. His strong academic background in robotics, AI, and intelligent control systems provides the foundation for his cutting-edge research in automation and robotics πŸ”¬βœ¨.

Honors and AwardsπŸ†

Assist. Prof. Dr. Chuan-De Liu has received multiple prestigious awards for his contributions to robotics and engineering πŸ€–. In 2023, he was honored as the NUIST Excellent Supervisor for Undergraduate Thesis πŸ›οΈ. He was awarded the China Scholarship Council (CSC) Scholarship (2019) for his research in robotics at ENSTA-IP Paris, France 🌍. His Bionic-Robot research earned him a Finalist position for the Best Student Paper Award at IEEE-CYBER 2019 πŸ“œ. Additionally, he won Jiangsu Province’s Outstanding Master’s Thesis Award (2018) πŸ… and secured the NaRi-Relays Scholarship (2016) for excellence in electrical engineering ⚑.

Research FocusπŸ€–

Assist. Prof. Dr. Chuan-De Liu’s research focuses on robotics, AI-driven automation, and intelligent control systems πŸš€. His expertise includes robotic dexterous manipulation, autonomous UAV systems, and motion planning for industrial robots πŸ€–. He develops advanced control techniques for floating wind turbines, bionic-robot movement planning, and high-precision sensing systems ⚑. His work in disturbance observer-based sliding mode control, satellite-borne calibration, and robotic vision processing enhances autonomous system performance 🌍. With a strong foundation in robotic safety, real-time motion planning, and intelligent inspection platforms, his research contributes significantly to next-generation automation and AI-driven robotics πŸ†βœ¨.

PublicationsπŸ“š

Reconfigurable High-Precision AC Voltage Detector for Aerospace Applications
πŸ–ŠοΈ Authors: L. Jiang, L. Zhu, C. Liu, Q. Hou
πŸ“– Journal: Measurement (2025)

An Adaptive Dual-Docking Force Control of Ship-Borne Manipulators for UAV-Assisted Perching
πŸ–ŠοΈ Authors: C. Liu, S. Fang, J. Li, B. Gao
πŸ“– Journal: IEEE-CYBER (2024)

High-Precision and Wide-Range Temperature Measurement and Control System of Satellite-Borne Calibration Blackbody
πŸ–ŠοΈ Authors: L. Jiang, C. Liu, L. Zhu, Z. Zhang, Q. Hou
πŸ“– Journal: Measurement (2024)

A Self-Constructed CNN Classifier for Keyhole Detection and Location
πŸ–ŠοΈ Authors: J. Ye, B. Gao, H. Chen, W. Xu, L. Zhong, C. Liu
πŸ“– Journal: IEEE Sustainable Power and Energy Conference (iSPEC) (2020)

Towards a Balancing Safety Against Performance Approach in Human–Robot Co-Manipulation for Door-Closing Emergencies
πŸ–ŠοΈ Authors: C. Liu, C. Yu, B. Gao, S.A. Ali Shah, A. Tapus
πŸ“– Journal: Complex & Intelligent Systems (2022)

Self-Protective Motion Planning for Mobile Manipulators in a Dynamic Door-Closing Workspace
πŸ–ŠοΈ Authors: C. Liu, B. Gao, C. Yu, A. Tapus
πŸ“– Journal: Industrial Robot (2021)

Movement Planning and Control of an Overhead Power Transmission Line Inspection Bionic-Robot
πŸ–ŠοΈ Authors: C. Liu, J. He, B. Gao
πŸ“– Journal: IEEE-CYBER (2019)

These publications highlight Dr. Liu’s expertise in robotics, AI-driven control, intelligent automation, and precision engineering πŸ€–πŸš€.