Mr. Nanfeng Xiao | Intelligent Robots Awards | Best Researcher Award

Mr. Nanfeng Xiao, School of Computer Science and Engineering, South China University of Technology, China

Prof. Xiao Nanfeng is a distinguished professor and Ph.D. supervisor at the School of Computer Science and Engineering, South China University of Technology. He earned his B.E.E. degree from the Department of Automatic Control and Computer Engineering at Huazhong University of Science and Technology, followed by M.S.E.E. and Ph.D. degrees in Automation from Northeastern University, China, and Yokohama National University, Japan, respectively. His research interests encompass vision perception, robotics, deep learning, and artificial intelligence. Prof. Xiao has made significant contributions to his field, authoring over 200 research papers published in esteemed international conferences and journals.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Prof. Xiao Nanfeng

Prof. Xiao Nanfeng is an exemplary candidate for the Research for Best Researcher Award, given his extensive academic and research achievements. His qualifications and contributions align closely with the criteria for such recognition.

🎓 Education

Bachelor of Electrical Engineering (B.E.E.):
- Institution: Huazhong University of Science and Technology
- Department: Automatic Control and Computer Engineering
Master of Science in Electrical Engineering (M.S.E.E.):
- Institution: Northeastern University, China
- Department: Automation
Doctor of Philosophy (Ph.D.):
- Institution: Yokohama National University, Japan
- Department: Automation

💼 Work Experience

Current Position:
- Role: Professor and Ph.D. Supervisor
- Institution: School of Computer Science and Engineering, South China University of Technology

🏆 Achievements

Published 200+ research papers 📄 in international conferences and journals on topics such as vision perception, robotics, deep learning, and artificial intelligence.
Recognized as a leading expert in AI and robotics, contributing significantly to the academic and industrial advancements in these fields.

🎖️ Awards and Honors

Outstanding Research Contribution Award 🌟 for innovative work in deep learning and artificial intelligence.
Best Paper Awards 🏅 at multiple prestigious international conferences.
Excellence in Teaching Award 🧑‍🏫 for mentoring Ph.D. students and advancing academic excellence.
International Collaboration Recognition 🤝 for fostering partnerships in cutting-edge robotics research between China and Japan.

Publication Top Notes:

RETRACTED: Novel heuristic dual-ant clustering algorithm for network intrusion outliers detection (Optik (2015) 126(4) (494–497), (S003040261400984X), (10.1016/j.ijleo.2014.08.036))

Self-Supervised Masked Hypergraph Autoencoders for Spatio-Temporal Forecasting

Comprehensive Teacher-based Multi-task Model Train Using a Small Amount of Data

High-Performance Spatio-Temporal Information Mixer for Traffic Forecasting

Simple Scalable Multimodal Semantic Segmentation Model

Research on Applying the “Shift” Concept to Deep Attention Matching

Self-supervised reflectance-guided 3d shape reconstruction from single-view images

Dr. Yinping Li, Beijing University of Science and Technology, China

Li Yinping is a dedicated researcher and engineer specializing in mechanical design and automation, currently pursuing a Ph.D. in Mechanical Engineering at the University of Science and Technology Beijing. He holds a Bachelor’s degree in Mechanical Design, Manufacturing, and Automation from Linyi University and a Master’s degree in Mechanical Engineering from Inner Mongolia University of Science and Technology. His research focuses on numerical simulation and new energy electric vehicle power systems, contributing significantly to the field through various publications and projects. Li has authored several impactful papers, including studies on dynamic performance simulation and energy control strategies for electric vehicles, and has been recognized with numerous honors, such as the National Scholarship and Outstanding Graduate awards in Shandong Province. He possesses a strong technical skill set, proficient in professional software like MATLAB/Simulink, CAD, and ANSYS Workbench, and has experience as a technician and university teacher. A member of the Communist Party of China, Li is known for his warm and approachable demeanor, strong sense of responsibility, and ambition in advancing his field.

Summary of Suitability for Research Excellence in Innovation

Li Yinping’s extensive research in numerical simulation and new energy electric vehicle power systems positions him as a strong candidate for the Excellence in Innovation Award. His work on the dynamic performance of electric systems, particularly in the context of electric vehicles and machinery, is crucial for advancing sustainable technologies in the energy sector.

Education

University of Science and Technology Beijing
- Degree: PhD in Mechanical Engineering
- Duration: September 2017 – January 2023
Inner Mongolia University of Science and Technology
- Degree: Master’s in Mechanical Engineering
- Duration: September 2014 – June 2016
Linyi University
- Degree: Bachelor’s in Mechanical Design, Manufacturing, and Automation
- Duration: September 2009 – June 2013

Work Experience

Teacher
- Institution: Linyi University
- Duration: September 2016 – July 2017
Technician
- Company: Yishui County Chengzhi Machinery Co., Ltd
- Duration: July 2013 – August 2014

Publication top Notes:

Energy Control Strategy of Electric Tractor Power Supply Based on Dynamic Programming

Design and dynamic characteristic simulation of pantograph-catenary continuous energy system for pure electric LHD

Dynamic performance simulation and stable current collection analysis of a pantograph catenary system for trolley wire overhead electrically actuated LHD