Akwasi Amoh Mensah | Control Science| Best Researcher Award

Mr. Akwasi Amoh Mensah | Control Science| Best Researcher Award

PhD Student at South China University of Technology, China

Mr. Akwasi Amoh Mensah is a dedicated Ph.D. student in Control Science and Engineering at the South China University of Technology, China. His research focuses on advanced control systems, automation technologies, and intelligent optimization techniques with applications across industrial and engineering systems. With a strong foundation in system modeling and control theory, Mr. Mensah is actively contributing to innovative solutions in the field of control science. His scholarly work and technical competence have positioned him as a promising researcher, making him a strong candidate for the Best Researcher Award.

Professional Profile 

🎓 Education

Akwasi Amoh Mensah has pursued a highly distinguished academic journey in engineering and control sciences. He is currently enrolled in a Ph.D. program in Control Science and Engineering at the South China University of Technology, China (2023–2026), with an exceptional GPA of 4.0/4.0. In parallel, he is undertaking an M.Sc. in Industrial Engineering and a Graduate Certificate in Wind Energy at Texas Tech University, USA (2024–2026), both maintaining a perfect GPA. He also holds an M.Sc. in Electrical and Computer Engineering (2021–2023) from South China University of Technology and a B.Sc. in Electrical Engineering and Automation from China Three Gorges University, where he graduated with a GPA of 3.8/4.0.

💼 Professional Experience

Akwasi has accumulated hands-on experience across academia, research, and industry. Currently, he serves as a Graduate Research Assistant at Texas Tech University, developing control systems for semiconductor inspection. Previously, he worked at the South China University of Technology as a Research Assistant, contributing to renewable energy-based power control strategies. His industry exposure includes an internship as an Assistant Electrical Engineer at Guangdong Jinlong Electrical and Mechanical Company, where he designed circuits and managed machine programming. He also held leadership roles at Comens Company Limited in Ghana as a Project and Sales Manager. Earlier roles include a Student Assistantship during his undergraduate studies and several organizational responsibilities in student services and university outreach.

🛠️ Skills and Technical Proficiency

Akwasi possesses a wide array of technical and analytical competencies. His software and programming proficiency include MATLAB, Python, LabVIEW, AutoCAD, SolidWorks, Keil, Proteus, and Comsol Multiphysics. He is skilled in FPGA, C programming, Arduino, and PLC systems. His practical capabilities span circuit design, control theory application, data analysis, electrical systems maintenance, and project management. In addition, his academic research has strengthened his abilities in simulation, scientific writing, and systems optimization.

🏆 Awards and Recognitions

Akwasi’s academic excellence is reflected in his consistent 4.0 GPA across multiple advanced degree programs. His innovative work in control engineering and renewable energy systems has led to numerous peer-reviewed publications in internationally recognized journals and conferences. His research contributions have earned him esteem in both academic and professional engineering communities, setting the stage for future accolades and awards in the field of control systems and smart energy technologies.

🔬 Research Focus

Akwasi Amoh Mensah’s research is centered on advanced control strategies for renewable energy systems, grid stability, and intelligent power generation. His work extensively explores the integration of metaheuristic optimization algorithms (e.g., salp swarm, artificial bee colony, and flower pollination) with grid-forming inverters and observer-based controllers for frequency and voltage regulation. He has published widely on solar and wind power optimization, maximum power point tracking (MPPT), and reinforcement learning for dynamic systems. His interdisciplinary approach bridges artificial intelligence, electrical control systems, and sustainable energy technologies.

📚 Publications Top Note 

📘 1. Second-order inertia automatic generation control based on grid-forming inverters using convergent observers salp swarm algorithm for frequency control

  • Citation (APA):
    Mensah Akwasi, A., Chen, H., Liu, J., Duku, O.-A., & Zeng, X. (2025). Second-order inertia automatic generation control based on grid-forming inverters using convergent observers salp swarm algorithm for frequency control. International Journal of Dynamics and Control. https://doi.org/10.1007/s40435-025-01709-3

  • Authors: Amoh Mensah Akwasi, Haoyong Chen, Junfeng Liu, Otuo-Acheampong Duku, Xin Zeng

  • Year: 2025

  • Journal: International Journal of Dynamics and Control

  • DOI: 10.1007/s40435-025-01709-3

2. Grid forming inverters using reduced order-based Luenberger observer for power control

  • Citation (APA):
    Mensah Akwasi, A., Chen, H., & Liu, J. (2025). Grid forming inverters using reduced order-based Luenberger observer for power control. Electric Power Systems Research, 226, 111424. https://doi.org/10.1016/j.epsr.2025.111424

  • Authors: Amoh Mensah Akwasi, Haoyong Chen, Junfeng Liu

  • Year: 2025

  • Journal: Electric Power Systems Research

  • Volume: 226

  • Article Number: 111424

  • DOI: 10.1016/j.epsr.2025.111424

🏁 Conclusion

Dr. Lei Liu exemplifies the qualities of a Best Researcher Award recipient: depth in theoretical research, breadth in global experience, and excellence in teaching and mentorship. His leadership roles, prolific output, and rising trajectory within academic and engineering communities make him a model scholar in the communications field. While areas like applied innovation and interdisciplinary expansion offer room for growth, his current achievements already place him at the forefront of his domain.

Jianqiao Chen | Automation | Best Researcher Award

Dr. Jianqiao Chen | Automation | Best Researcher Award Award

Dr. Jianqiao Chen, Shenyang University of Technology, China

Dr. Jianqiao Chen is a dedicated researcher and Ph.D. candidate in Mechanical Engineering at Shenyang University of Technology, China, specializing in automotive intelligent driving systems. With a strong academic foundation in vehicle engineering and new energy technologies, Dr. Chen has consistently excelled, receiving numerous awards, including the Excellent Student and Ph.D. Student Scholarships and recognition as an Outstanding League Member. His research combines cutting-edge simulation tools and advanced control strategies to address the challenges of intelligent and energy-efficient vehicle design.

PROFILE

Orcid Profile

Educational Details

Dr. Jianqiao Chen is currently a Ph.D. candidate in Mechanical Engineering at Shenyang University of Technology, specializing in automotive intelligent driving (since September 2020). He earned his Master’s degree in Vehicle Engineering, focusing on automotive intelligent driving, from Liaoning University of Technology in June 2020. Dr. Chen also holds a Bachelor’s degree in Vehicle Engineering with a focus on new energy from Liaoning University of Technology, completed in June 2016.

Professional Experience

Throughout his academic journey, Dr. Chen has actively participated in various research projects and competitions, contributing to advancements in automotive engineering. He competed with the Wande Electric Car Team in the 2015 National College Student Electric Formula Competition, achieving top rankings in endurance, obstacle avoidance, and overall performance. He also contributed to a National Science Foundation project focused on multi-parameter collaborative optimization in adjustable damping shock absorbers. Dr. Chen is proficient in key engineering and modeling software, including Matlab, Ansys, Catia, and Carsim, and has a National Level 1 CAD certification. His skills extend to article editing, photography, video editing, and programming (CET-4 English proficiency and C Language Level 2 certification).

Research Interest

Dr. Chen’s research interests are centered on automotive intelligent driving systems and new energy vehicle technologies. He is particularly focused on vehicle dynamics, control systems, and simulation modeling to advance sustainable and intelligent automotive solutions.

Top Notable Publications

“A Tuning Method for Speed Tracking Controller Parameters of Autonomous Vehicles”:

Authors: As of now, the specific author details are not readily available.

Year: 2024

Publication Date: November 7, 2024

Citations: Not available; it is a newly published article.

DOI: 10.3390/app142210209

Conclusion

Dr. Jianqiao Chen’s advanced educational background, impressive array of academic awards, technical expertise, and active participation in significant research projects make him a well-rounded and highly qualified candidate for the Best Researcher Award. His consistent academic excellence and research contributions in the fields of automotive engineering and intelligent driving systems highlight his potential to continue making impactful advancements in the field.