Assoc. Prof. Dr. Lei Wang | Automatic Control Systems | Best Researcher Award

Assoc. Prof. Dr. Lei Wang | Automatic Control Systems | Best Researcher Award

Wuxi University, China.

Dr. Wang Lei is an Associate Professor at Wuxi University, specializing in intelligent control systems. With a strong background in artificial intelligence applications in automation, he has led over 10 major research projects, published more than 30 peer-reviewed papers, and holds 20+ patents and 11 software copyrights. He has international training experience in Thailand, Taiwan, Poland, and the UK, enriching his global academic perspective.

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๐ŸŽ“ Education

Dr. Wang Lei pursued extensive academic training, including joint doctoral programs funded by Chinaโ€™s national โ€œ111 Planโ€, conducting research in institutions like Green Mountain University (Poland) and the University of Southampton (UK). His master's studies included training at Prince Songkhla University (Thailand) and Yunlin University of Science and Technology (Taiwan).

๐Ÿ’ผ Experience

Currently an Associate Professor at Wuxi University, Wang Lei has spearheaded numerous provincial and national research projects, including collaborations with the Ministry of Education, Wuxi Science and Technology Bureau, and the National Natural Science Foundation of China. His editorial roles include reviewing for journals like International Journal of Robust and Nonlinear Control and Security and Communication Networks.

๐Ÿ”ฌ Research Interests

His research focuses on the application of artificial intelligence in automatic control systems, covering areas such as iterative learning control, dynamic observers, fuzzy systems, and actuator fault tolerance.

๐Ÿ† Awards & Patents

Principal investigator of 10+ funded projects including Jiangsu Provincial Natural Science and Wuxi โ€œLight of Taihu Lakeโ€ programs.

Holder of 20+ patents, including โ€œA trajectory tracking method for non-repetitive time-varying systemsโ€.

Recognized with support from national initiatives such as the โ€œ111 Planโ€.

๐Ÿ“š Notable Publications

๐Ÿ†• 2025

Output feedback based PD-type iterative learning fault-tolerant control for uncertain discrete systems with actuator faults
๐Ÿ“˜ Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
๐Ÿ”— DOI: 10.1177/09596518241263003
๐Ÿ‘ฅ Yanxia Shen, Wei Zou, Lei Wang

๐Ÿ”ฌ 2024

An innovative dynamic observer for nonlinear interconnected systems with uncertainties
๐Ÿ“˜ Transactions of the Institute of Measurement and Control
๐Ÿ—“ Published: 2024-10-23
๐Ÿ”— DOI: 10.1177/01423312241274007
๐Ÿ‘ฅ Nan Ji, Lei Wang, Xinggang Yan, Dezhi Xu

Iterative learning control with parameter estimation for non-repetitive time-varying systems
๐Ÿ“˜ Journal of the Franklin Institute
๐Ÿ—“ Published: 2024-02
๐Ÿ”— DOI: 10.1016/j.jfranklin.2024.01.011
๐Ÿ‘ฅ Lei Wang, Ziwei Huangfu, Ruiwen Li, Xiewen (Sitman) Wen, Yuan Sun, Yiyang Chen

๐Ÿ“Š 2023

Design of robust fuzzy iterative learning control for nonlinear batch processes
๐Ÿ“˜ Mathematical Biosciences and Engineering
๐Ÿ”— DOI: 10.3934/mbe.2023897
๐Ÿ‘ฅ Wei Zou, Yanxia Shen, Lei Wang

A Soft Actor-Critic Approach for a Blind Walking Hexapod Robot with Obstacle Avoidance
๐Ÿ“˜ Actuators
๐Ÿ—“ Published: 2023-10-21
๐Ÿ”— DOI: 10.3390/act12100393
๐Ÿ‘ฅ Lei Wang, Li Ruiwen, Ziwei Huangfu, Yishan Feng, Yiyang Chen

Fully Distributed, Event-Triggered Containment Control of Multi-Agent Systems
๐Ÿ“˜ Applied Sciences
๐Ÿ—“ Published: 2023-10-07
๐Ÿ”— DOI: 10.3390/app131911039
๐Ÿ‘ฅ Lei Wang, Guanwen Chen, Tai Li, Ruitian Yang

Slowness or Autocorrelation? A serial correlation feature analysis method
๐Ÿ“˜ Journal of Process Control
๐Ÿ—“ Published: 2023-01
๐Ÿ”— DOI: 10.1016/j.jprocont.2022.11.010
๐Ÿ‘ฅ Qinghua Li, Zhonggai Zhao, Lei Wang

Assoc. Prof. Dr. Vittoria Feola | Early Modern History | Best Researcher Award

Assoc. Prof. Dr. Vittoria Feola | Early Modern History | Best Researcher Award

University of Padua, Italy.

Vittoria Feola is an Associate Professor of Early Modern History at the University of Padova, Italy. She earned her PhD in History from Cambridge University (2005) and has held prestigious research fellowships, including the Wiener-Anspach and Francqui Postdoctoral Fellowship at the Universitรฉ Libre de Bruxelles and the Lise Meitner Senior Postdoc at the Medical University of Vienna. She has been a Senior Visiting Research Associate at Oxford University and a Guest Professor in Rome, among other international appointments. Feola's research explores intelligence, martyrdom, and religious networks in early modern Europe, particularly in the context of Anglo-Spanish relations and Elizabethan England.

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๐ŸŽ“ Education

Assoc. Prof. Dr. Vittoria Feola holds a PhD in History from Cambridge University (2005) and has been recognized for her academic excellence through the Cambridge European Trust Award (2000-2003). Her research has been supported by prestigious institutions, including the British Federation of Women Graduates and the Cambridge European Trust, reflecting her significant contributions to historical scholarship.

๐Ÿ› Experience

Assoc. Prof. Dr. Vittoria Feola is an Associate Professor of Early Modern History at the University of Padova (2015โ€“Present). She has also held prestigious academic positions, including Senior Visiting Research Associate at Oxford University (2014โ€“2017) and Lektorin in Early Modern History of Medicine at the Medical University of Vienna. Additionally, she has served as a Guest Professor at the Pontifical University St. Thomas in Rome and has been a Visiting Fellow at leading institutions such as Yale, Stanford, Toronto, and Cambridge, underscoring her extensive international research collaborations and expertise in early modern history.

๐Ÿ”ฌ Research Interests

Religious Intelligence and Martyrdom in Anglo-Spanish Relations (1550-1598)

Early Modern Universities and Scientific Networks

Alchemy, Medicine, and Religion in Early Modern England and Europe

Circulation of Knowledge and Printing Networks in the 16th-18th centuries

๐Ÿ† Awards & Honors

2023 Erasmus+ Grant, Teaching Stay at the University of Granada

2023 Book Publication Grant for Martyrdom, Intelligence, and National Identity in Anglo-Spanish Relations, 1550-1598

2022 MINI SID Seed Funding for โ€œSpies or Heretics?โ€ Project

2015 Gerda Henkel Co-Funding Grant for the Bartolomeo Gamba Project

2014 Vienna City Council Prize for organizing Scientiae Vienna 2014

2002 British Federation of Women Graduates Research Award

๐Ÿ“š Notable Publications

๐Ÿ“„ Feola, V. (2025). The uses of martyrdom works in Philip II's Spain and among Elizabethan English Catholics. Religion and Politics (forthcoming).


๐Ÿ“„ Feola, V. (2025). Jesuit intelligence about Elizabethan England. Society and Politics (forthcoming).


๐Ÿ“„ Feola, V. (2024). Autobiografia, cattolicesimo e sovranitร : il caso di Elias Ashmole (1617-1692). Civiltร  e Religioni, 10, 73-101.


๐Ÿ“„ Feola, V. (2021). Alchemy, medicine, and religion in Elias Ashmoleโ€™s Theatrum Chemicum Britannicum. Civiltร  e Religioni, VII, 87-122.


๐Ÿ“„ Feola, V. (2019). Talismans as automata: Jacques Gaffarelโ€™s Curiositez and the mechanisation of nature in 17th-century France. Society and Politics, 13(2), 61-86.


๐Ÿ“„ Feola, V. (2019). Early Modern Violence and Religion. The Sixteenth Century Journal, 50.

Dr. Yongcaho Xue | Petroleum Engineering | Best Researcher Award

Dr. Yongcaho Xue | Petroleum Engineering | Best Researcher Award

China University of Petroleum (Beijing), China

Xue Yongchao (Ph.D.) is a professor at the Department of Petroleum Engineering, China University of Petroleum (Beijing). With over two decades of academic and research experience, he specializes in stochastic modeling, reservoir characterization, and petroleum engineering. He has contributed significantly to advancements in low-permeability reservoirs and heavy oil thermal recovery.

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Education ๐ŸŽ“

Dr. Xue Yongchao holds a Ph.D. in Petroleum Engineering from the China University of Petroleum (2004), showcasing his advanced expertise in the field. He also earned an M.S. in Mechanical Engineering from Northeast Petroleum University (2001) and a B.S. in Petroleum Engineering from the same institution (1994), solidifying his strong foundation in both petroleum and mechanical engineering disciplines. His diverse academic background enables him to bridge theoretical knowledge with practical applications in petroleum engineering.

Experience ๐Ÿ’ผ

Dr. Xue Yongchao has an impressive career in academia and research. Since 2015, he has been serving as a Professor in the Department of Petroleum Engineering at China University of Petroleum-Beijing, where he leads cutting-edge research and teaches advanced courses. From 2010 to 2011, he was a Visiting Scholar at Texas A&M University, USA, where he collaborated on international projects and expanded his global expertise. Prior to his professorship, he worked as a Lecturer at the same university from 2004 to 2015, building a solid foundation in teaching and research.

Research Interests ๐Ÿ”ฌ

Stochastic Modeling ๐Ÿ”

Dr. Xue specializes in stochastic modeling, employing advanced probabilistic methods to analyze and predict complex reservoir behaviors, enabling more accurate forecasting and decision-making in petroleum engineering.

Reservoir Characterization ๐Ÿ›ข๏ธ

His expertise in reservoir characterization focuses on understanding the physical and geological properties of reservoirs, ensuring efficient exploration and extraction strategies.

Geology and Development of Oil & Gas Fields ๐ŸŒ

Dr. Xue contributes to the study and teaching of oil and gas field development, integrating geological insights with engineering principles to optimize resource utilization and sustainability.

Awards ๐Ÿ†

2017: Second Prize, Science and Technology Progress of Ministry of Education, for "The new theory and application of heavy oil multi-medium thermal development."

2012: First Prize, Teaching Achievements, China University of Petroleum (Beijing), for "Advanced Mechanics of Fluids in Porous Media" course system construction.

2010: First Prize, Science and Technology Progress of China Petroleum and Chemical Industry Association, for "Non-linear seepage and development technology of ultra-low permeability reservoirs."

Selected Publications ๐Ÿ“š

Probabilistic performance forecasting in history matching of low-permeability reservoirs, SPE-188100-MS (2017). Link

A new fracture prediction method by combining genetic algorithm with neural network in low permeability reservoirs, Journal of Petroleum Science and Engineering (2014). Cited by: 68 articles. Link

The influence of interlayer of bottom water reservoirs during development stage, Petroleum Science and Technology (2013). Link

Experimental comparison study of stress sensitivity at different levels of permeability core, Advanced Materials Research (2012). Link

An Integrated Method of Data-Driven and Water-Drive Mechanism for Oil Production Forecast in High Water Cut Reservoir, Link