Assoc. Prof. Dr. Mao Jun | Nonlinear Control | Best Researcher Award

Assoc. Prof. Dr. Mao Jun | Nonlinear Control | Best Researcher Award

Assoc. Prof. Dr. Mao Jun, China Jiliang University, China

Dr. Mao Jun is an Associate Professor at the School of Mechanical and Electrical Engineering, China University of Metrology. He earned his Ph.D. in Control Science and Engineering from Nanjing University of Science and Technology in 2019, following a Master’s and Bachelor’s degree in the same field from Yangzhou University. Since joining the university in 2019, he has progressed from Lecturer to Associate Professor in 2024. His primary research interests include sampled-data control, nonlinear systems, and time-delay systems. Dr. Mao has served as the principal investigator for a Youth Science Foundation project funded by the National Natural Science Foundation of China. His representative works, published in prestigious IEEE journals, focus on adaptive consensus, output feedback control, and stabilization of complex nonlinear systems. He is recognized as a sole or co-first author in several high-impact research articles.

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Summary of Suitability: Dr. Mao Jun – Candidate for Best Researcher Award

Dr. Mao Jun, an Associate Professor at the China University of Metrology, has demonstrated significant research achievements in control science and engineering, particularly in the areas of nonlinear system control, sampled-data systems, and finite-time stabilization. His consistent contributions to theoretical and applied control methodologies make him a strong candidate for the Best Researcher Award.

🎓 Education

  • 📍 Ph.D. in Control Science and Engineering
     Nanjing University of Science and Technology (2015.09 – 2019.06)

  • 📍 Master’s in Control Science and Engineering
     Yangzhou University (2012.09 – 2015.06)

  • 📍 Bachelor’s in Electrical Engineering and Automation
     Yangzhou University (2007.09 – 2011.06)

💼 Work Experience

  • 👨‍🏫 Associate Professor
     School of Mechanical and Electrical Engineering, China University of Metrology (2024.01 – Present)

  • 👨‍🏫 Lecturer
     Same institution (2019.07 – 2023.12)

🏆 Achievements & Honors

  • 📚 Published multiple high-impact journal articles in IEEE Transactions on Systems, Man, and Cybernetics: Systems and IEEE Transactions on Fuzzy Systems

    • 🥇 Sole First Author on 4 major IEEE journal papers

    • 🤝 Joint First Author on an IEEE Fuzzy Systems publication (2024)

  • 🔬 Successfully led a National Natural Science Foundation of China Youth Project

    • Project: Finite-time Sampling Control of Nonlinear Systems and Its Applications

    • Grant: ¥300,000

    • Duration: 2022 – 2024

Publication Top Notes:

Adaptive finite-time stabilizing control of fractional-order nonlinear systems with unmodeled dynamics via sampled-data output-feedback

Adaptive Fuzzy Finite-Time Sampled-Data Control for a Class of Fractional-Order Nonlinear Systems

Observer-Based Finite-Time Sampled-Data Control for a Class of Nonlinear Time-Delay Systems

Stability of short memory fractional-order hybrid systems

Stabilization for A Class of Second-order Nonlinear Time-Delay Systems with Input Unmodeled Dynamics by Using Dynamic Gain

Finite-time sampled-data output feedback stabilization for a class of feed-forward non-holonomic systems

Practical Finite-Time Sampled-Data Output Feedback Stabilization for a Class of Upper-Triangular Nonlinear Systems with Input Delay

Self-Tuning Sliding Mode Control for an Uncertain Coaxial Octorotor UAV

Global Stabilization for a Class of Switched Nonlinear Time-Delay Systems via Sampled-Data Output-Feedback Control

 

Prof. Velislava Lyubenova | Online Monitoring Awards | Best Researcher Award

Prof. Velislava Lyubenova | Online Monitoring Awards | Best Researcher Award

Prof. Velislava Lyubenova, Bulgarian Academy of Science, Bulgaria

Professor Velislava Noreva Lyubenova is a distinguished Bulgarian researcher in the field of biotechnological systems and process control. Currently serving as the Scientific Secretary of the Institute of Robotics at the Bulgarian Academy of Sciences (IR-BAS), she also leads the Section of Mechatronic Bio/Technological Systems. With over three decades of research experience, she holds two doctoral degrees, including a Doctor of Technical Sciences, and has developed innovative methodologies for the monitoring and adaptive control of biotechnological processes. Professor Lyubenova has led or participated in more than 30 national and international research projects, including EU-funded Erasmus and Structural Fund programs. She has supervised multiple PhD students, delivered invited lectures at prestigious institutions globally, and published over 200 papers in high-impact journals. Her notable accolades include the “Marin Drinov” Young Scientist Award from BAS and memberships in international scientific organizations. A skilled communicator and academic leader, she continues to advance interdisciplinary research in bioengineering and control systems.

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Summary of Suitability for Best Researcher Award – Prof. Velislava Noreva Lyubenova

Prof. Velislava Noreva Lyubenova exemplifies the qualities of a top-tier candidate for the Best Researcher Award, with over three decades of sustained excellence in biotechnological process monitoring and control, and a robust leadership profile in national and international R&D projects. With dual doctoral degrees (Ph.D. and Doctor of Technical Sciences) and a long-standing affiliation with the Bulgarian Academy of Sciences, she has led or participated in over 29 major research projects—spanning EU programs, Structural Funds, and academic exchanges.

🎓 Education & Qualifications

  • 🧠 Doctor of Technical Sciences, Institute of Robotics – BAS (2016)

  • 🎓 Ph.D. in Technical Sciences, TU-Sofia (1988–1993) – Dissertation on parameter estimation and state variables in biotechnological processes

  • 📡 Radio Electronics Engineer, TU-Sofia, Faculty of Radioelectronics (1982–1987)

💼 Work Experience

  • 👩‍🔬 Scientific Secretary, Institute of Robotics – BAS & Member of PNEC Technical Sciences (2022–present)

  • 👩‍🏫 Professor & Head, Section “Mechatronic Bio/technological Systems”, IR-BAS (2017–present)

  • 🧪 Associate Professor, Bioengineering, ISRI-BAS (2015–2016)

  • 🧬 Associate Professor, Section “Bioengineering”, ISIR-BAS (2010–2015)

  • 🤖 Associate Professor, Adaptive & Robust Control Section, IUSI-BAS (2005–2010)

  • 🧠 Associate Professor, Knowledge-Based Management Systems, IUSI-BAS (2000–2005)

  • 🔬 Research Fellow, Adaptive Control & Knowledge-Based Systems, IUSI-BAS (1994–2000)

  • 👩‍💻 Research Fellow, Adaptive Control Section, Bioprocessing & Automation, BAS (1992–1994)

🏆 Achievements

  • 🧪 Developed innovative technologies for monitoring and control of biotechnological processes

  • 📊 Led and participated in over 29 projects (15 international, 14 national)

  • 🧑‍🏫 Supervised 3 Ph.D. students (2 completed, 1 ongoing)

  • 🖥️ Expert in MATLAB, LABVIEW, and Microsoft Office for biotechnological control systems

  • 🌍 Delivered 21 invited lectures (15 abroad, 6 in Bulgaria)

  • 📚 Published 200+ papers, many in high-impact journals like AIMS Bioengineering and Engineering in Life Sciences

🥇 Awards & Honors

  • 🏅 Marin Drinov Young Scientist Award, General Assembly of BAS (1998)

  • 🧬 Reviewer for major journals: Journal of Bioprocess and Biosystems Engineering, Processes, etc.

  • 📝 Editorial Board Member of multiple peer-reviewed journals

  • 🧑‍🔬 Member of multiple scientific and expert committees at BAS (including examination and academic jury panels)

  • 🌐 Member of 2 international and 1 national scientific organizations

Publication Top Notes:

A System Designed for Modelling, Monitoring, and Control of Fermentation Processes, Powered by Metaheuristic Algorithms

Contemporary Bioprocesses Control Algorithms for Educational Purposes

Simultaneous State and Kinetic Observation of Class-Controllable Bioprocesses

Escherichia coli cultivation process modelling using abc-ga hybrid algorithm

Investigation of fermentation regimes for the production of low-alcohol and non-alcohol beers

Metaheuristic Algorithms: Theory and Applications

Model-based monitoring of biotechnological processes-a review