Jiang Jiangcheng | Automatic Control | Best Researcher Award

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Dr. JiangJiang Cheng | Automatic Control | Best Researcher Award  

Dr. Jiang Jiang Cheng | Institute of Mathematics and Systems Sciences, Chinese Academy of Sciences | china

Dr. Jiang Jiangcheng is a highly accomplished mathematician and system theorist pursuing his Ph.D. at the University of Chinese Academy of Sciences. With a strong foundation in mathematics and systems theory, he specializes in system stability, optimization, and multi-agent dynamics. Renowned for his academic excellence and research acumen, Dr. Jiangcheng has earned prestigious scholarships and certifications, reflecting his dedication to advancing knowledge in mathematical and computational sciences.

PROFILE

Scopus  Profile

Educational Detail

Dr. Jiang Jiangcheng holds a Bachelor’s degree in Mathematics from China Agricultural University (2016–2020), where he graduated with a stellar GPA of 3.89/4.0. His academic foundation encompasses key subjects such as Mathematical Analysis, Advanced Algebra, Partial Differential Equations, Real Analysis, and Applied Stochastic Processes. He is currently pursuing a Ph.D. in System Theory at the University of Chinese Academy of Sciences (since 2020), maintaining an excellent GPA of 3.89/4.0. His doctoral coursework includes Linear System Theory, System Stability, Multi-Agent Systems, Game Theory, and Reinforcement Learning.

 

Professional Experience

Dr. Jiangcheng has engaged in various academic and professional pursuits during his educational journey. He has demonstrated strong analytical and computational skills, excelling in system estimation, optimization methods, and applied stochastic processes. His work involves extensive research and applications of mathematical and system theories in solving real-world problems.

Research Interests

System Stability and Optimization Theory

Multi-Agent Systems and Game Theory

Reinforcement Learning and Advanced Probability Theory

Numerical and Computational Analysis

Awards and Honors

Dr. Jiangcheng has received numerous accolades, including the National Inspirational Scholarship, First Class Scholarship for Innovation and Entrepreneurship, and recognition as a Merit Student, Excellent Student Cadre, and Excellent Graduate. Additionally, he holds a National Computer Rank Examination Certificate (Excellent) and the Certificate of College English Test-6.

Skills

Proficiency in mathematical modeling and numerical methods

Expertise in advanced systems theory and optimization

Strong command of programming tools for computational analysis

Fluent in English with certification at an advanced level

Top Notable Publications

Cheng, J., Chen, G., Mei, W., Bullo, F. (2025). Multidimensional opinion dynamics with heterogeneous bounded confidences and random interactions. Automatica, 172, 112002.

Cheng, J., Mei, W., Su, W., Chen, G. (Year not provided). Evolutionary games on networks: Phase transition, quasi-equilibrium, and mathematical principles. Journal/Publication not specified. (Further details like year and publication required for a complete citation).

Conclusion 

Dr. Jiang Jiangcheng is a highly deserving candidate for the Best Researcher Award. His exemplary academic performance, strong research foundation, and notable awards underscore his potential to drive innovation in mathematics and system science. He embodies the qualities of a researcher who can contribute profoundly to academia and industry.

 

 

 

 

 

 

 

 

 

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.