Xiaona Song | Regulating Technology | Best Researcher Award

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Prof Dr. Xiaona Song | Regulating Technology | Best Researcher Award

Professor at Regulating Technology, Henan University of Science and Technology, China

Prof. Dr. Xiaona Song is a prominent researcher in control theory and dynamic systems. With a PhD from Nanjing University of Science and Technology, they have held positions at Henan University of Science and Technology in China. Their work focuses on network-based estimation, synchronization of dynamic networks, and adaptive control of nonlinear systems. Prof. Dr. Song has published extensively, holds software copyrights and patents, and serves as an associate editor and reviewer for several journals. Their contributions have had a significant impact on the field.

Professional Profiles:

Education:

Prof. Dr. Xiaona Song’s education includes a PhD from Nanjing University of Science and Technology, Nanjing, China (2006-2011), and visiting scholar positions at Utah State University, Utah, USA (2009), Southern Illinois University, Carbondale, USA (2016-2017), and Yeungnam University, Daegu, South Korea (2019).

Experience:

Prof. Dr. Xiaona Song has a rich and diverse background in academia and research, spanning over a decade. They began their career as a Lecturer at Henan University of Science and Technology in Luoyang, China, where they taught from June 2011 to October 2013. During this time, they contributed to the university’s academic and research activities, gaining valuable experience in teaching and mentoring students. In October 2013, Prof. Dr. Song was promoted to the position of Associate Professor, where they continued to excel in their research and teaching roles. Their work focused on stability analysis and control for fractional-order systems and fuzzy systems, as well as control and synchronization of fractional-order chaotic systems. Prof. Dr. Song’s dedication to their field was further demonstrated through their involvement in several research projects supported by the National Natural Science Foundation of China. In December 2019, Prof. Dr. Song was appointed as a Professor at Henan University of Science and Technology, a position they currently hold. Throughout their career, Prof. Dr. Song has been recognized for their contributions to the field, including their role as an Associate Editor for several journals and their work as a reviewer for numerous publications. Their commitment to research and education continues to make a significant impact in their field and beyond.

Awards & Honors:

Prof. Dr. Xiaona Song has been honored with several awards in recognition of their outstanding contributions to academia and research. They have received the Outstanding Young Scientist Award from Henan Province, China, acknowledging their significant achievements and potential in the field. Additionally, Prof. Dr. Song has been awarded the Excellence in Research Award from Henan University of Science and Technology, Luoyang, China, highlighting their excellence in research activities and academic endeavors. Their work has also been recognized with a Best Paper Award from the International Conference on Control Systems and Robotics, underscoring the impact of their research in the scientific community. These awards serve as a testament to Prof. Dr. Song’s dedication, innovation, and excellence in their field.

Research Interest:

Prof. Dr. Xiaona Song’s research interests encompass several areas of applied mathematics and engineering. They are particularly focused on stability analysis and control for fractional-order systems and fuzzy systems. Additionally, their research includes control and synchronization of fractional-order chaotic systems, which has applications in various fields such as secure communication and data encryption. Another area of interest for Prof. Dr. Song is image processing, where they explore techniques to enhance the quality and accuracy of images. Their work in these areas contributes to the advancement of knowledge and technologies that benefit society.

Achievements:

Prof. Dr. Xiaona Song has achieved significant milestones in their academic and research career, demonstrating a commitment to excellence and innovation. One of their notable achievements includes the development of High-Precision Panoramic Stitching Software, which enables the seamless stitching of panoramic images with high precision, enhancing the quality of panoramic views. Additionally, Prof. Dr. Song has obtained patents for several innovative products, such as adjustable size trash cans, height-adjustable multi-purpose crutches, and hangable folding lift desks, showcasing their creativity and contribution to product development. Furthermore, Prof. Dr. Song has demonstrated strong research leadership by leading multiple research projects supported by the National Natural Science Foundation of China, showcasing their ability to secure funding and lead successful research initiatives. They have also authored several books and papers on stability analysis and control for fractional-order systems and fuzzy systems, as well as control and synchronization of fractional-order chaotic systems, contributing significantly to the advancement of knowledge in these areas.

Publications:

  1. A new image encryption algorithm based on the fractional-order hyperchaotic Lorenz system
    • Z Wang, X Huang, YX Li, XN Song
    • Chinese Physics B 22 (1), 010504
    • 126 citations
    • 2013
  2. Network-based passive estimation for switched complex dynamical networks under persistent dwell-time with limited signals
    • Y Wang, X Hu, K Shi, X Song, H Shen
    • Journal of the Franklin Institute 357 (15), 10921-10936
    • 99 citations
    • 2020
  3. Extended dissipative synchronization for semi-Markov jump complex dynamic networks via memory sampled-data control scheme
    • YA Liu, J Xia, B Meng, X Song, H Shen
    • Journal of the Franklin Institute 357 (15), 10900-10920
    • 98 citations
    • 2020
  4. Event-driven NN adaptive fixed-time control for nonlinear systems with guaranteed performance
    • X Song, P Sun, S Song, V Stojanovic
    • Journal of the Franklin Institute 359 (9), 4138-4159
    • 90 citations
    • 2022
  5. Neuro-fuzzy-based adaptive dynamic surface control for fractional-order nonlinear strict-feedback systems with input constraint
    • S Song, B Zhang, X Song, Z Zhang
    • IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (6), 3575-3586
    • 89 citations
    • 2019
  6. Adaptive command filtered neuro-fuzzy control design for fractional-order nonlinear systems with unknown control directions and input quantization
    • S Song, JH Park, B Zhang, X Song, Z Zhang
    • IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (11), 7238-7249
    • 85 citations
    • 2020
  7. Robust fault‐tolerant control of uncertain fractional‐order systems against actuator faults
    • H Shen, X Song, Z Wang
    • IET Control Theory & Applications 7 (9), 1233-1241
    • 85 citations
    • 2013
  8. Image encryption based on a delayed fractional-order chaotic logistic system
    • Z Wang, X Huang, N Li, XN Song
    • Chinese Physics B 21 (5), 050506
    • 82 citations
    • 2012
  9. Data-driven control of hydraulic servo actuator based on adaptive dynamic programming
    • V Djordjevic, V Stojanovic, H Tao, X Song, S He, W Gao
    • Discrete & Continuous Dynamical Systems-Series S 15 (7)
    • 81 citations
    • 2022
  10. Event-triggered H∞ control for networked discrete-time Markov jump systems with repeated scalar nonlinearities
    • X Song, Y Men, J Zhou, J Zhao, H Shen
    • Applied Mathematics and Computation 298, 123-132
    • 80 citations
    • 2017

 

 

 

Yasin BEKTAŞ | Control Engineering | Best Researcher Award

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Dr. Yasin BEKTAŞ | Control Engineering | Best Researcher Award

Doctor Lecturer at Control Engineering, AKSARAY UNIVERSITY, Turkey

Turkey is a transcontinental country with a rich history, spanning multiple ancient civilizations. It is located mainly on the Anatolian Peninsula in Western Asia, with a smaller portion on the Balkan Peninsula in Southeast Europe. The country is bordered by eight countries and has a diverse cultural heritage. Modern-day Turkey is a democratic republic with a mixed economy, featuring industries such as textiles, automotive, electronics, and tourism. The capital is Ankara, while the largest city, Istanbul, is a major cultural and economic hub.

Professional Profiles:

Education:

Yasin Bektaş was born on October 3, 1982, in Sivas, Turkey. He completed his undergraduate education in Electrical Teacher at Marmara University from 2004 to 2008. He continued his education at Marmara University for his postgraduate studies in Electrical Teacher from 2008 to 2010. Later, Yasin pursued further education in Electrical Electronics Engineering at Selçuk University, starting in 2015 for his undergraduate degree. He completed his doctoral education in Electrical Electronics Engineering at Selçuk University from 2018 to 2023.

Experience:

Yasin Bektaş has a diverse range of professional experiences. He started his career as a Technical Teacher in October 2008, where he honed his skills in teaching and technical expertise. From July 2010 to 2013, he worked as a freelance Electrical Electronics Engineer, gaining practical experience in the field. In October 2013, Yasin transitioned to a lecturer role, where he shared his knowledge and expertise with students. Continuing his career progression, he became a Dr. Lecturer in October 2023, further solidifying his position as an expert in his field.

Skills:

Yasin Bektaş possesses a strong set of skills that contribute to his professional expertise. He is proficient in Microsoft Office, which includes Word, Excel, and PowerPoint, allowing him to efficiently create and manage documents, spreadsheets, and presentations. Additionally, his proficiency in AutoCAD enables him to design and draft technical drawings with precision. Yasin is also skilled in using Dialux, a software application for lighting design, which is essential in his field. Furthermore, his proficiency in CorelDRAW enhances his ability to create graphic designs and illustrations, adding a creative dimension to his skill set. Overall, Yasin’s diverse skill set makes him a versatile professional in the field of electrical electronics engineering.

Teaching:

Yasin Bektaş has a rich background in teaching, starting with his role as a Technical Teacher from October 2008 to 2010. During this time, he provided valuable instruction and guidance to students, helping them develop their technical skills. Following this, Yasin served as a lecturer from October 2013 to 2023, where he continued to impart knowledge and expertise in the field of electrical electronics engineering. His teaching experience includes delivering lectures, conducting practical demonstrations, and evaluating student performance. Yasin’s commitment to education is further evidenced by his current position as a Dr. Lecturer, where he continues to inspire and educate the next generation of professionals in his field.

Publications:

  1. Brushless direct current (BLDC) motor driving experimental set
    • Y Bektas, NFO Serteller
    • 2011
    • Citations: 19
  2. Red deer algorithm based selective harmonic elimination for renewable energy application with unequal DC sources
    • Y Bektaş, H Karaca
    • 2022
    • Citations: 10
  3. FIRÇASIZ DA MOTORUN KONTROLÜNDE PWM VE HİSTERİSİZ BANT TEKNİĞİNİN KARŞILAŞTIRILMASI
    • Y Bektaş, NFO SERTELLER
    • 2010
    • Citations: 7
  4. Biyogaz Destekli Yenilenebilir Hibrid Sistemler İle Enerji Üretimi
    • Y Bektaş, M Gülmez
    • 2015
    • Citations: 5
  5. Red deer algorithm-based selective harmonic elimination technique for multilevel inverters
    • Y Bektaş, H Karaca, TA Taha, HI Zaynal
    • 2023
    • Citations: 4
  6. Speed estimation of brushless direct current (BLDC) motor with multilayer perceptron
    • NFO Serteller, Y Bektas, S Nogay, TC Akinci
    • 2012
    • Citations: 3
  7. Makine Öğrenmesi ve Optimizasyon Yöntemleri ile Uzun Dönem Elektrik Enerjisi Tahmini: Türkiye Örneği
    • ÖA KARAMAN, Y BEKTAŞ
    • 2023
    • Citations: 2
  8. Red deer algorithm based harmonic mitigation for asymmetric cascaded multilevel inverters
    • Y Bektaş, H Karaca
    • 2022
    • Citations: 2
  9. YOL AYDINLATMASI TESİSATLARINDA KLASİK YÖNTEM İLE BİLGİSAYAR DESTEKLİ YÖNTEMİN KARŞILAŞTIRILMASI
    • Y BEKTAŞ, M DURSUN, T DİNDAR, HH KARACA
    • 2018
    • Citations: 2
  10. Fırçasız doğru akım Motoru (Fsdam) Ve sürücü Devresi eğitim Seti Analizi geliştirilmesi Ve Motorun Bilgisayar ortamında Incelenmesi
    • Y Bektaş
    • 2011
    • Citations: 2

 

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