Jiajia Chen | Automation | Young Scientist Award

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Assoc Prof Dr. Jiajia Chen | Automation | Young Scientist Award

Associate Professor at Automation, Shandong University of Technology, China

Dr. Jiajia Chen is an Associate Professor at Shandong University of Technology, specializing in key technologies and applications of energy storage, smart grid enhancement, demand-side management, and power pricing. She holds a Ph.D. and M.Eng. from South China University of Technology and a B.Eng. from Linyi University. Dr. Chen has conducted research funded by various grants, including the National Natural Science Foundation of China, focusing on topics such as bidirectional power resource aggregation, optimal control of flexible DC distribution systems, and voltage stability in renewable power systems. She has also served in academic and editorial roles, highlighting her commitment to advancing research and knowledge in her field.

Professional Profiles:

Education:

Associate Professor Dr. Jiajia Chen is currently affiliated with Shandong University of Technology (SDUT), where she has been serving since January 2016. Her research interests lie in the key technologies and applications of energy storage, flexibility, and resilience enhancement of smart grids, demand-side management and power pricing, as well as the operation and control of agricultural networks. In addition to her role at SDUT, Dr. Chen also holds part-time positions as the Deputy Secretary-General of Shandong Electrical Technology Society and the Young Editorial Board of Electric Power Construction Journal. Dr. Chen has also contributed to the academic community through her role as a Visiting Scholar at Cleveland State University, USA, from September 2018 to August 2019. During this time, she focused on the Department of Electrical Engineering. Her academic journey includes a Ph.D. from South China University of Technology (SCUT), where she majored in Power System and Its Automation from September 2011 to December 2015. Dr. Chen received the First-class Scholarship of SCUT during her Ph.D. studies. Prior to her Ph.D., she completed her Master of Engineering in Mathematics and Applied Mathematics, also at SCUT, where she was awarded the First-class Scholarship. Dr. Chen began her academic pursuits with a Bachelor of Engineering in Mathematics and Applied Mathematics from Linyi University (LNU), where she received the First-class Scholarship of LYU, graduating in July 2010.

Academic Research:

Dr. Jiajia Chen has been involved in several research projects focusing on various aspects of power systems and energy management. One of her projects, funded by the National Natural Science Foundation of China (Grant 52377110), explores a user-side multi-decentralized bidirectional power resource aggregation mechanism and cooperative control. The project aims to evaluate credible capacity and state of energy for generalized energy storage under multiple uncertainties, as well as cooperative control of multiple dispersed bidirectional power resources considering active-reactive coupling. She has also worked on the research project funded by the National Natural Science Foundation of China (Grant 51807112) focusing on multi-time scale stability and optimal control of flexible DC distribution systems. This project involves research on algorithm design for the optimal control of flexible DC distribution systems. Another project, funded by the National Natural Science Foundation of China (Grant 51707109), involves research on the topology method of enhanced voltage stability online power grid considering uncertainty and contingency set. The aim is to improve the stability of renewable power systems through the theoretical basis and design of an uncertain optimization model and algorithm.

Publications:

  1. Combining multi-step reconfiguration with many-objective reduction as iterative bi-level scheduling for stochastic distribution network
    • Authors: J.Y. Li, J.J. Chen, Y.X. Wang, W.G. Chen
    • Year: 2024
  2. Fuzzy semi-entropy based downside risk to low-carbon oriented multi-energy dispatch considering multiple dependent uncertainties
    • Authors: P.H. Jiao, J.J. Chen, X. Cai, Y.L. Zhao
    • Year: 2024
  3. Enhancing resilience of agricultural microgrid through electricity–heat–water based multi-energy hub considering irradiation intensity uncertainty
    • Authors: Y.Q. Zhang, J.J. Chen, Y.X. Wang, L. Feng
    • Year: 2024
  4. Robust scheduling of virtual power plant with power-to-hydrogen considering a flexible carbon emission mechanism
    • Authors: Z. Yang, K. Li, J. Chen
    • Year: 2024
  5. Random clustering and dynamic recognition-based operation strategy for energy storage system in industrial park
    • Authors: G.J. Yan, J.J. Chen, J.Y. Liu, W.G. Chen, B.Y. Xu
    • Year: 2023
  6. A resilience enhancement strategy for multi-microgrid in extreme scenarios based on electric vehicles
    • Authors: K. Sun, W. Chen, J. Chen, W. Yin
    • Year: 2023
  7. Credibility Theory-Based Information Gap Decision Theory to Improve Robustness of Electricity Trading under Uncertainties
    • Authors: X. Zhao, P. Wang, Q. Li, L. Feng, J. Chen
    • Year: 2023
  8. Flexibility operation for integrated energy system considering hydrogen energy under inertia characteristics and stepped carbon trading mechanism
    • Authors: P.H. Jiao, X. Cai, L.L. Wang, Y.L. Zhao, Y.F. Cao
    • Year: 2023
  9. Pricing Mechanism and Trading Strategy Optimization for Microgrid Cluster Based on CVaR Theory
    • Authors: W. Chen, Y. Zhang, J. Chen, B. Xu
    • Year: 2023
  10. Credibility theory to handle uncertain renewable energy: A fuzzy chance constrained AC optimal power flow
    • Authors: J.H. Duan, J.J. Chen, F.W. Liu, P.H. Jiao, B.Y. Xu
    • Year: 2023

Dr. Ali Jahedsaravani | Electrical Engineering | Best Scholar Award

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Dr. Ali Jahedsaravani : Leading Researcher in Electrical Engineering

Assistant Professor at Electrical Engineering, Khatam al Anbiya University, Iran

He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Ph.D. in Automation and Control Engineering from the University Putra Malaysia, Malaysia, earned between 2011 and 2015, with a GPA of 3.75 on a scale of 4. MSc in Automation and Control Engineering at Islamic Azad University, Gonabad branch, Iran, completed between 2008 and 2011, with a GPA of 18.28 on a scale of 20. BSc in Electronic Engineering from Islamic Azad University, Iran, Birjand, completed between 2002 and 2007, with a GPA of 14.77 on a scale of 20.

Areas of Interest:

  1. Assistant Professor at the Faculty of Engineering, Khatam al-Anbiya University, from 2018 to the present.
  2. Lecturer at the Faculty of Engineering, Khatam al-Anbiya University, from 2016 to 2018.

Publications:

Measurement of bubble size and froth velocity using convolutional neural networks

Prediction of Froth Flotation Performance Using Convolutional Neural

Recognition of process conditions of a coal column flotation circuit using computer vision and machine learning

Flotation froth image classification using convolutional neural networks

Machine vision based monitoring and analysis of a coal column flotation circuit

An image segmentation algorithm for measurement of flotation froth bubble size distributions

Development of a machine vision system for real-time monitoring and control of batch flotation process

Application of Image Processing and Adaptive Neuro-fuzzy System for Estimation of the Metallurgical Parameters of a Flotation Process