Jianqiao Chen | Automation | Best Researcher Award

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Dr. Jianqiao Chen | Automation | Best Researcher Award Award

Dr. Jianqiao Chen, Shenyang University of Technology, China

Dr. Jianqiao Chen is a dedicated researcher and Ph.D. candidate in Mechanical Engineering at Shenyang University of Technology, China, specializing in automotive intelligent driving systems. With a strong academic foundation in vehicle engineering and new energy technologies, Dr. Chen has consistently excelled, receiving numerous awards, including the Excellent Student and Ph.D. Student Scholarships and recognition as an Outstanding League Member. His research combines cutting-edge simulation tools and advanced control strategies to address the challenges of intelligent and energy-efficient vehicle design.

PROFILE

Orcid Profile

Educational Details

Dr. Jianqiao Chen is currently a Ph.D. candidate in Mechanical Engineering at Shenyang University of Technology, specializing in automotive intelligent driving (since September 2020). He earned his Master’s degree in Vehicle Engineering, focusing on automotive intelligent driving, from Liaoning University of Technology in June 2020. Dr. Chen also holds a Bachelor’s degree in Vehicle Engineering with a focus on new energy from Liaoning University of Technology, completed in June 2016.

Professional Experience

Throughout his academic journey, Dr. Chen has actively participated in various research projects and competitions, contributing to advancements in automotive engineering. He competed with the Wande Electric Car Team in the 2015 National College Student Electric Formula Competition, achieving top rankings in endurance, obstacle avoidance, and overall performance. He also contributed to a National Science Foundation project focused on multi-parameter collaborative optimization in adjustable damping shock absorbers. Dr. Chen is proficient in key engineering and modeling software, including Matlab, Ansys, Catia, and Carsim, and has a National Level 1 CAD certification. His skills extend to article editing, photography, video editing, and programming (CET-4 English proficiency and C Language Level 2 certification).

Research Interest

Dr. Chen’s research interests are centered on automotive intelligent driving systems and new energy vehicle technologies. He is particularly focused on vehicle dynamics, control systems, and simulation modeling to advance sustainable and intelligent automotive solutions.

Top Notable Publications

“A Tuning Method for Speed Tracking Controller Parameters of Autonomous Vehicles”:

Authors: As of now, the specific author details are not readily available.

Year: 2024

Publication Date: November 7, 2024

Citations: Not available; it is a newly published article.

DOI: 10.3390/app142210209

Conclusion

Dr. Jianqiao Chen’s advanced educational background, impressive array of academic awards, technical expertise, and active participation in significant research projects make him a well-rounded and highly qualified candidate for the Best Researcher Award. His consistent academic excellence and research contributions in the fields of automotive engineering and intelligent driving systems highlight his potential to continue making impactful advancements in the field.

 

 

 

Laura Celentano | Automation | Best Researcher Award

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Assoc Prof Dr.Laura Celentano | Automation | Best Researcher Award

Scopus Profile

Orcid Profile

Google Scholar Profile

Educational Details

Laura Celentano earned her M.S. Laurea Degree (summa cum laude) in Computer Engineering, specializing in Automatic Control and Robotics, from the University of Naples Federico II in 2003. Her master’s thesis focused on advanced robotics, specifically the design of a robot for environmental monitoring and fire intervention in road and railway tunnels. She pursued her Ph.D. in Automation and Computer Science Engineering at the same institution, with a major in Automatic Control and System Analysis, completing her degree in 2006. Her Ph.D. thesis was titled “Modeling and Control of Rigid and Flexible Mechanical Systems.”

Research Experience

Currently, Dr. Celentano is an Associate Professor of Automation and Control at the University of Naples Federico II. She has also been involved in teaching at the University of Naples “Parthenope” and the Italian Air Force Academy, Naples, covering topics such as Systems Theory, Fundamentals of Dynamical Systems, Modeling and Simulation, and Automation of Navigation Systems. Beyond academia, she has collaborated extensively with public and private organizations, including projects funded by the European Union, the Italian Ministry of University and Research, and regional initiatives.

She is an active science communicator, contributing to radio programs and scientific journals. Dr. Celentano holds various editorial roles, including Associate Editor for several prestigious journals such as The Journal of the Franklin Institute, IEEE Access, and IEEE Transactions on Cybernetics. She is also a Senior Member of IEEE and a Full Member of the Sigma Xi scientific honor society. Notably, she has chaired and organized numerous international conferences and scientific events.

Research Interest

Dr. Celentano’s research interests encompass the design of versatile, fast, and robust control systems for both linear and nonlinear uncertain systems. She focuses on methods for stability analysis and stabilization of MIMO and discrete-time systems, with applications in mechatronic and transportation systems (e.g., cars, trains, ships), rescue and security robotics, and tele-monitoring systems. She is also exploring brain-computer interfaces for disabled individuals and deep learning techniques for medical applications, including myeloid leukemia. Her work extends into the modeling and control of rigid and flexible mechanical systems and smart sensors and actuators.

Top Notable Publications

L. Celentano, A. Garza-Alonso, and M.V. Basin, “Prescribed-time practical stabilization via majorant systems,” Journal of the Franklin Institute, in press, 2024.
Citation: In press, 2024.

L. Celentano, M. De Riso, R. Di Palo, M. Coppola, P. Guerriero, and S. Daliento, “A new modelling approach for a Cuk converter for on-field diagnostics of PV modules,” 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), Napoli, Italy, pp. 1236-1241, 2024.
Citation: Conference paper, 2024.

L. Celentano, “An approach to model and control a flexible spacecraft,” IFAC-PapersOnLine, vol. 56, no. 2, pp. 11551-11557, 2023.
Citation: 2023, IFAC-PapersOnLine, vol. 56, no. 2, pp. 11551-11557.

L. Celentano, “A fast design technique for robust industrial controllers,” Journal of the Franklin Institute, vol. 360, no. 8, pp. 5689-5727, 2023.
Citation: 2023, Journal of the Franklin Institute, vol. 360, no. 8, pp. 5689-5727.

L. Celentano, M.V. Basin, and P. Shi, “Majorant-based control methodology for mechatronic and transportation processes,” IEEE Access, vol. 9, pp. 157916-157939, 2021.
Citation: 2021, IEEE Access, vol. 9, pp. 157916-157939.

L. Celentano, M.V. Basin, and P. Shi, “A systematic robust control method for marine surface vehicles,” IEEE SMC 2021 International Conference on Systems, Man, and Cybernetics, Melbourne, Australia, pp. 1305-1312, 2021.
Citation: Conference paper, 2021.

M.V. Basin, L. Celentano, M. Chadli, and P. Shi, Editorial “Special issue on emerging control techniques for mechatronic and transportation systems,” Asian Journal of Control, vol. 23, no. 5, pp. 2039-2041, 2021.
Citation: 2021, Asian Journal of Control, vol. 23, no. 5, pp. 2039-2041.

L. Celentano, M.V. Basin, and M. Chadli, “Robust tracking design for uncertain MIMO systems using proportional-integral controller of order v,” Asian Journal of Control, vol. 23, no. 5, pp. 2042-2063, 2021.
Citation: 2021, Asian Journal of Control, vol. 23, no. 5, pp. 2042-2063.

L. Celentano, and M. Basin, “Optimal estimator design for LTI systems with bounded noises, disturbances, and nonlinearities,” Circuits, Systems, and Signal Processing, vol. 40, no. 7, pp. 1476-1489, 2021.
Citation: 2021, Circuits, Systems, and Signal Processing, vol. 40, no. 7, pp. 1476-1489.