Li Ding | Robotics | Best Researcher Award

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Prof. Li Ding | Robotics | Best Researcher Award

Professor, Jiangsu University of Technology, China

Ding Li is an Associate Professor at the College of Mechanical Engineering, Jiangsu University of Technology. With a robust academic background and extensive research experience, he specializes in mechatronic engineering, particularly focusing on robotic systems and control dynamics.

Profile

Scopus

🎓 Education

Ding Li completed his educational journey with a Ph.D. in Mechatronic Engineering from Nanjing University of Aeronautics and Astronautics (2013-2016). Prior to this, he earned a Master’s in Mechanical Engineering from Anhui University of Science and Technology (2011-2013) and a Bachelor’s in Mechanical Manufacturing and Automation from Jiangsu University of Technology (2007-2011).

đŸ’Œ Experience

Ding has held various academic positions, including:

  • Associate Professor (June 2019 – Present) at Jiangsu University of Technology
  • Associate Professor (November 2021 – August 2022) at the National Natural Science Foundation of China
  • Lecturer (October 2016 – May 2019) at Jiangsu University of Technology
  • Lecturer (March 2018 – March 2019) at Hong Kong Polytechnic University

🔬 Research Interests

Ding’s research interests encompass the dynamics and control of robotic systems, particularly in areas such as cable-driven manipulators, intelligent operating flying robots, and hydraulic systems. His work aims to enhance automation and efficiency in various engineering applications.

🏆 Awards

Ding Li has received several prestigious accolades, including:

  • First Prize for Science and Technology Progress from the China Mechanical Engineering Society (3rd class, 2022)
  • Outstanding Youth Key Teacher Award from Jiangsu University’s “Blue Project” (2022)
  • Changzhou Natural Science Excellence Award (2nd prize, 2019)

📚 Publications Top Notes

Ding Li has contributed significantly to academic literature, with notable publications including:

Optimal Joint Space Control of a Cable-Driven Aerial Manipulator (Computer Modeling in Engineering & Sciences, 2023)

Observer-Based Control for a Cable-Driven Aerial Manipulator under Lumped Disturbances (CMES – Computer Modeling in Engineering & Sciences, 2023)

Adaptive Robust Control via a Nonlinear Disturbance Observer for Cable-driven Aerial Manipulators (International Journal of Control, Automation and Systems, 2023)

Shiyu Liu – Engineering – Best Researcher Award

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Shiyu Liu - Engineering - Best Researcher Award

Hebei University - China

AUTHOR PROFILE

SCOPUS

SHIYU LIU: RESEARCHER IN AI-BASED MONITORING 🔬

Shiyu Liu, currently a lecturer and postdoctoral researcher at Hebei University, has been making significant contributions in the field of spectral detection and analysis using artificial intelligence. His primary research revolves around spectral detection, machine learning, and AI-driven health monitoring systems for lithium-ion batteries, bringing innovative solutions to environmental monitoring and engineering applications.

AI-DRIVEN BATTERY MONITORING 🔋

Liu's work focuses on the health monitoring of lithium-ion batteries through artificial intelligence techniques. He combines electrochemical impedance spectroscopy with machine learning to accurately predict battery capacity and health. This research is vital for improving battery longevity, particularly in electric vehicles and sustainable energy systems, where battery performance is crucial.

SPECTRAL ANALYSIS & AI ALGORITHMS 📊

Liu's expertise extends to spectral detection and analysis, utilizing AI-based algorithms for processing near-infrared (NIR) spectroscopy data. His research aims to address issues such as high noise interference and spectral peak overlap, which often hinder accurate detection of complex organic compounds. By integrating machine learning and chemometric methods, he strives for precision in environmental pollutant measurement and industrial applications.

INNOVATIVE PROJECTS & PARTNERSHIPS đŸ€

Shiyu Liu has actively contributed to several national and provincial projects, including the National Natural Science Foundation of China. His projects range from detecting environmental pollutants using spectral analysis to developing remote sensing image processing algorithms for space applications. These collaborations underscore his role in advancing both environmental science and technology.

CUTTING-EDGE PUBLICATIONS 📚

Liu has published extensively in prestigious journals, such as Fuel and Spectrochimica Acta, with a focus on using AI techniques for diesel fuel analysis and NIR spectroscopy. His innovative approach combines deep learning with spectral data to enhance the accuracy of fuel property detection, contributing to advancements in both energy and environmental fields.

PROFESSIONAL ENGAGEMENTS & PRESENTATIONS đŸŽ€

Liu actively participates in international conferences, presenting his research findings to global audiences. Notably, he presented at the 2023 UNIfied International Conference in the UK, where he shared insights on battery health monitoring using AI. His academic activities also include contributions to forums on infrared technology, further solidifying his reputation in AI-driven research.

AWARDS & RECOGNITIONS 🏆

Shiyu Liu has received several prestigious awards, including the CSC Scholarship for his visiting PhD tenure at the University of Huddersfield. His accolades also include national scholarships, recognition as an “excellent graduate,” and top prizes in mathematical and physics competitions. These honors reflect his commitment to academic excellence and innovation in his field.

NOTABLE PUBLICATION

Title: Series fusion of scatter correction techniques coupled with deep convolution neural network as a promising approach for NIR modeling
Authors: Liu, S., Wang, S., Hu, C., Kong, D., Yuan, Y.
Journal: Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
Year: 2023

Title: A MLP-Based Transfer Learning Model Using EIS Health Features for State of Health Estimation of Lithium-Ion Battery
Authors: Zhao, X., Wang, Z., Liu, S., Gu, F., Ball, A.
Conference: ICAC 2023 - 28th International Conference on Automation and Computing
Year: 2023

Title: Markov Transform Field Coupled with CNN Image Analysis Technology in NIR Detection of Alcohols Diesel
Authors: Liu, S., Wang, S., Hu, C., Kong, D.
Conference: Mechanisms and Machine Science
Year: 2023

Title: Rapid and accurate determination of diesel multiple properties through NIR data analysis assisted by machine learning
Authors: Liu, S., Wang, S., Hu, C., Kong, D., Wang, J.
Journal: Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
Year: 2022

Title: Determination of alcohols-diesel oil by near infrared spectroscopy based on gramian angular field image coding and deep learning
Authors: Liu, S., Wang, S., Hu, C., Bi, W.
Journal: Fuel
Year: 2022

Francisco J. G. Silva – Robotics – Excellence in Research

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Francisco J. G. Silva - Robotics - Excellence in Research

Polytechnic Institute of Porto - Portugal

AUTHOR PROFILE

SCOPUS

🎓 ACADEMIC AND PROFESSIONAL EDUCATION

Francisco J. G. Silva is a Mechanical Engineer with extensive qualifications, including Habilitation, PhD, MSc, and BSc degrees. His educational background is complemented by a substantial career in both academic teaching and industrial research, bridging the gap between scientific knowledge and practical application.

đŸ›ïž UNIVERSITY TEACHING AND ADMINISTRATION

Silva has served as an Associate Professor with Habilitation at ISEP – School of Engineering, Polytechnic of Porto (IPP), where he has been instrumental in shaping the mechanical engineering curriculum and directing the master’s degree program. He has also held significant administrative roles, including Director of the BSc Degree in Mechanical Engineering at ESEIG and Sub-Director of the Mechanical Engineering Department at ISEP.

📚 RESEARCH AND PUBLICATIONS

With over 300 papers published in prestigious journals such as ELSEVIER, SPRINGER, and MDPI, Silva's research encompasses a broad spectrum of topics within Mechanical Engineering, Materials Science, and Industrial Engineering. His work has significantly contributed to advancements in advanced manufacturing processes, materials characterization, and additive manufacturing.

📝 BOOKS AND EDITORIAL WORK

Silva is a prolific author and editor, having published 16 books, including three written in 2023. He has contributed to numerous special issues as a Guest Editor for renowned journals, showcasing his expertise in various fields. His role as founder of the Journal of Coating Science and Technology further highlights his impact on the scientific community.

🌐 CONFERENCE LEADERSHIP AND COMMITTEES

He has been an active participant and leader in the international conference circuit, serving as General Chair of FAIM 2023 and a member of several scientific committees for conferences across the globe. His involvement in these conferences underscores his commitment to advancing the field through collaborative and innovative research.

🏆 RECOGNITIONS AND AWARDS

Silva’s contributions to the field have been recognized with multiple accolades, including the Top Reviewer Awards from Publons and MDPI. He has also received Best Paper Awards and other honors, reflecting his esteemed position in the academic and research community.

🚀 CURRENT PROJECTS AND FUTURE INITIATIVES

Currently, Silva is leading the DRIVOLUTION project at ISEP, a research initiative focused on advanced manufacturing technologies, with a funding of 1.5 million euros. His ongoing projects and research efforts continue to drive advancements in mechanical engineering and materials science, contributing to both academic and industrial advancements.

NOTABLE PUBLICATION

Calcium phosphate–calcium titanate composite coatings for orthopedic applications
Authors: J.E. Arce, A.E. Arce, Y. Aguilar, L. Yate, S. Moya, C. Rincón, O. Gutiérrez
Year: 2016
Journal: Ceramics International

Production and characterization of aluminum powder derived from mechanical saw chips and its processing through powder metallurgy
Authors: A.E.A.L.M. Rojas-Díaz, L.E. Verano-Jiménez, E. Muñoz-García, J. Esguerra-Arce
Year: 2019
Journal: Powder Technology

The evolution of the microstructure and properties of ageable Al-Si-Zn-Mg alloy during the recycling of milling chips through powder metallurgy
Authors: P.A. Pulido-Suårez, K.S. Uñate-Gonzålez, J.G. Tirado-Gonzålez, J. Esguerra-Arce
Year: 2020
Journal: Journal of Materials Research and Technology

Influence of the Al content on the in vitro bioactivity and biocompatibility of PVD Ti1−xAlxN coatings for orthopedic applications
Authors: A. Esguerra-Arce, J. Esguerra-Arce, L. Yate, C. Amaya, L.E. Coy, Y. Aguilar, et al.
Year: 2016
Journal: RSC Advances

Morteros geopolimericos reforzados con fibras de carbono basados en un sistema binario de un subproducto industrial
Authors: S. Bernal, J. Esguerra, J. Galindo, R.M. de Gutiérrez, E. Rodríguez, et al.
Year: 2009
Journal: Revista Latinoamericana de Metalurgia y Materiales