Akwasi Amoh Mensah | Control Science| Best Researcher Award

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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.

Darya Alontseva | Robotics | Best Researcher Award

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Prof. Darya Alontseva | Robotics | Best Researcher Award

Prof. Darya Alontseva, D. Serikbayev East Kazakhstan Technical University, Kazakhstan

Prof. darya alontseva is a tenured professor at the School of Digital Technologies and Artificial Intelligence at D. Serikbayev East Kazakhstan Technical University (ektu), Kazakhstan. A distinguished physicist and material scientist, she holds a Doctor of Sciences in Physics and Mathematics, awarded in 2013, and specializes in plasma surface interaction, material science, and advanced materials. With over three decades of teaching, research, and leadership experience, Prof. alontseva is an accomplished academic with expertise in material characterization, electron microscopy, and computer simulation. She actively collaborates on international research projects, advancing knowledge in nanotechnology and resource-efficient energy applications.

PROFILE

Orcid Profile

Google Scholar Profile

Educational Details

Doctor of Sciences in Physics and Mathematics (2013)
Altai State Technical University, Russia

Thesis: “Structural phase state and properties of Ni-Cr, Co-Cr, Fe-Ni-Cr based alloys as a result of concentrated energy fluxes impact.”

Ph.D. in Physics and Mathematics (2002)
S. Amanzholov East Kazakhstan State University (Ektu), Kazakhstan

Thesis: “Cellular precipitation of phases in strongly-deformed austenite aging alloys.”

Master of Science in Physics (1997)
East Kazakhstan State University, Kazakhstan

Diploma with Distinction

Bachelor of Physics and Mathematics (1989)
Ust-Kamenogorsk Pedagogical Institute, Kazakhstan

Diploma with Distinction

Professional Experience

Academic Employment

Professor, School of Digital Technologies and Artificial Intelligence, D. Serikbayev ektu (2020–Present)

Professor, Department of Instrument Engineering and Process Automation, ektu (2013–2020)

Associate Professor, Department of Instrument Engineering and Process Automation, ektu (2008–2013)

Senior Teacher, Department of Experimental Physics and Instrument Engineering, ektu (2000–2008)

Teacher, Physics and Mathematics Lyceum, Ust-Kamenogorsk, Kazakhstan (1993–2000)

Teacher, High School No. 17, Ust-Kamenogorsk, Kazakhstan (1989–1993)

International Academic Experience

Visiting Researcher, Brandenburg University of Technology (BTU), Germany (2023)
Collaboration on pulse-plasma treatment for gas-thermal coatings.

Invited Lecturer, Óbuda University, Hungary (2019)
Lectures on “Innovation Worldwide” under Erasmus+ Mobility Programme.

DAAD Summer School Lecturer, Kazakhstan (2017)
Lectures on energy-efficient methods for surface treatment and materials analysis.

Research Interests

Plasma Surface Interaction

Physics of Condensed State

Advanced Materials and Nanotechnology

Automation and Control Systems

Material Science and Resource-efficient Engineering

Research Expertise

Material Characterization

Mechanical Properties Analysis

Electron Microscopy & X-ray Diffraction

Computer Simulation of Material Behavior

Teaching Activities

Over the past three years, my teaching activities have centered on doctoral-level disciplines, including lectures and practical classes in “Research Methods” (in English), supervising doctoral theses, research work, and professional practice. I have also supervised master’s theses and delivered undergraduate lectures on “Research Organization and Planning” (in English). Additionally, I developed and implemented a MOOC on the OpenEdX platform titled IT_IS: ROP_01 Research Organization and Planning for undergraduates, enhancing accessibility to quality education. Under my supervision, six doctoral students have successfully defended their theses, earning Ph.D. degrees in “Applied Physics” (4) and “Automation and Control” (2). Currently, I am supervising five doctoral students in “Automation and Control” and serving as a scientific advisor to two postdoctoral researchers funded by the Republic of Kazakhstan: Bagdat Azamatov (Grant AP13268737) for developing additive manufacturing technologies for biocompatible implants, and Alyona Russakova (Grant AP09561959) for studying alloy substructure parameters under external influences.

Top Notable Publications

Development of technology of microplasma spraying for the application of biocompatible coatings in the manufacture of medical implants

Authors: D. Alontseva, Y. Borisov, S. Voinarovych, O. Kyslytsia, T. Kolesnikova, et al.

Journal: Przeglad Elektrotechniczny, 94 (7), 94–97

Year: 2018

Citations: 11

Modification of Ni-based plasma detonation coatings by a low-energy DC E-Beam

Authors: D. Alontseva, A. Krasavin, A. Pogrebnjak, A. Russakova

Journal: Acta Physica Polonica A, 123 (5), 867–870

Year: 2013

Citations: 11

Pitting corrosion behaviour of austenitic stainless-steel coated on Ti6Al4V alloy in chloride solutions

Authors: R. Yamanoglu, E. Fazakas, F. Ahnia, D. Alontseva, F. Khoshnaw

Journal: Advances in Materials Science, 21 (2), 5–15

Year: 2021

Citations: 10

Plasma-assisted automated precision deposition of powder coating multifunctional systems

Authors: D. Alontseva, A. Krasavin, N. Prokhorenkova, T. Kolesnikova

Journal: Acta Physica Polonica A, 132 (2), 233–235

Year: 2017

Citations: 10

Effect of irradiation with DC plasma jet on the structure phase compositions and properties of powder Ni and Co–based coatings

Authors: D. Alontseva, A. Krasavin, A. Russakova, T. Kolesnikova, G. Bektasova

Journal: Materials Science, 22 (2), 238–242

Year: 2016

Citations: 10

Formation of micro-and nanostructured phases in coatings on base Ni-Cr and Co-Cr, their structure and properties

Authors: D.L. Alontseva, S.N. Bratushko, V.N. Rogoz, N.V. Prokhorenkova, A.V. Pshik

Year: 2011

Citations: 10

Development of 3D scanning system for robotic plasma processing of medical products with complex geometries

Authors: D.L. Alontseva, E. Ghassemieh, A.L. Krasavin, A.T. Kadyroldina

Journal: Journal of Electronic Science and Technology, 18 (3), 100057

Year: 2020

Citations: 9

Automation of industrial sites with mechatronic systems

Authors: D.L. Alontseva, A.L. Krasavin, A.V. Russakova, A.T. Kadyroldina

Journal: International Journal of Electrical and Electronic Engineering

Year: 2018

Citations: 9

Conclusion

Prof. Darya Alontseva’s remarkable educational background, extensive research experience, and international collaborations establish her as an outstanding candidate for the Research for Best Researcher Award. Her work in plasma surface interactions, material characterization, and nanotechnology has significantly contributed to the advancement of material science and applied physics, aligning seamlessly with the award’s criteria.

 

 

 

 

 

 

 

Jianqiao Chen | Automation | Best Researcher Award

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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.

 

 

 

Laura Celentano | Automation | Best Researcher Award

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Assoc Prof Dr.Laura Celentano | Automation | Best Researcher Award

Scopus Profile

Orcid Profile

Google Scholar Profile

Educational Details

Laura Celentano earned her M.S. Laurea Degree (summa cum laude) in Computer Engineering, specializing in Automatic Control and Robotics, from the University of Naples Federico II in 2003. Her master’s thesis focused on advanced robotics, specifically the design of a robot for environmental monitoring and fire intervention in road and railway tunnels. She pursued her Ph.D. in Automation and Computer Science Engineering at the same institution, with a major in Automatic Control and System Analysis, completing her degree in 2006. Her Ph.D. thesis was titled “Modeling and Control of Rigid and Flexible Mechanical Systems.”

Research Experience

Currently, Dr. Celentano is an Associate Professor of Automation and Control at the University of Naples Federico II. She has also been involved in teaching at the University of Naples “Parthenope” and the Italian Air Force Academy, Naples, covering topics such as Systems Theory, Fundamentals of Dynamical Systems, Modeling and Simulation, and Automation of Navigation Systems. Beyond academia, she has collaborated extensively with public and private organizations, including projects funded by the European Union, the Italian Ministry of University and Research, and regional initiatives.

She is an active science communicator, contributing to radio programs and scientific journals. Dr. Celentano holds various editorial roles, including Associate Editor for several prestigious journals such as The Journal of the Franklin Institute, IEEE Access, and IEEE Transactions on Cybernetics. She is also a Senior Member of IEEE and a Full Member of the Sigma Xi scientific honor society. Notably, she has chaired and organized numerous international conferences and scientific events.

Research Interest

Dr. Celentano’s research interests encompass the design of versatile, fast, and robust control systems for both linear and nonlinear uncertain systems. She focuses on methods for stability analysis and stabilization of MIMO and discrete-time systems, with applications in mechatronic and transportation systems (e.g., cars, trains, ships), rescue and security robotics, and tele-monitoring systems. She is also exploring brain-computer interfaces for disabled individuals and deep learning techniques for medical applications, including myeloid leukemia. Her work extends into the modeling and control of rigid and flexible mechanical systems and smart sensors and actuators.

Top Notable Publications

L. Celentano, A. Garza-Alonso, and M.V. Basin, “Prescribed-time practical stabilization via majorant systems,” Journal of the Franklin Institute, in press, 2024.
Citation: In press, 2024.

L. Celentano, M. De Riso, R. Di Palo, M. Coppola, P. Guerriero, and S. Daliento, “A new modelling approach for a Cuk converter for on-field diagnostics of PV modules,” 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), Napoli, Italy, pp. 1236-1241, 2024.
Citation: Conference paper, 2024.

L. Celentano, “An approach to model and control a flexible spacecraft,” IFAC-PapersOnLine, vol. 56, no. 2, pp. 11551-11557, 2023.
Citation: 2023, IFAC-PapersOnLine, vol. 56, no. 2, pp. 11551-11557.

L. Celentano, “A fast design technique for robust industrial controllers,” Journal of the Franklin Institute, vol. 360, no. 8, pp. 5689-5727, 2023.
Citation: 2023, Journal of the Franklin Institute, vol. 360, no. 8, pp. 5689-5727.

L. Celentano, M.V. Basin, and P. Shi, “Majorant-based control methodology for mechatronic and transportation processes,” IEEE Access, vol. 9, pp. 157916-157939, 2021.
Citation: 2021, IEEE Access, vol. 9, pp. 157916-157939.

L. Celentano, M.V. Basin, and P. Shi, “A systematic robust control method for marine surface vehicles,” IEEE SMC 2021 International Conference on Systems, Man, and Cybernetics, Melbourne, Australia, pp. 1305-1312, 2021.
Citation: Conference paper, 2021.

M.V. Basin, L. Celentano, M. Chadli, and P. Shi, Editorial “Special issue on emerging control techniques for mechatronic and transportation systems,” Asian Journal of Control, vol. 23, no. 5, pp. 2039-2041, 2021.
Citation: 2021, Asian Journal of Control, vol. 23, no. 5, pp. 2039-2041.

L. Celentano, M.V. Basin, and M. Chadli, “Robust tracking design for uncertain MIMO systems using proportional-integral controller of order v,” Asian Journal of Control, vol. 23, no. 5, pp. 2042-2063, 2021.
Citation: 2021, Asian Journal of Control, vol. 23, no. 5, pp. 2042-2063.

L. Celentano, and M. Basin, “Optimal estimator design for LTI systems with bounded noises, disturbances, and nonlinearities,” Circuits, Systems, and Signal Processing, vol. 40, no. 7, pp. 1476-1489, 2021.
Citation: 2021, Circuits, Systems, and Signal Processing, vol. 40, no. 7, pp. 1476-1489.