Dr. Shanglong Li | Engineering | Research Excellence Award

Published on by Physicist Particle

Dr. Shanglong Li | Engineering | Research Excellence Award

University-Appointed Associate Professor | East China Jiaotong University | China

Dr. Shanglong Li is a recognized academic and researcher in Engineering with specialized expertise in power electronics, power systems, and advanced converter technologies within modern Engineering applications. His work in Engineering focuses on power electronic converters, distributed energy systems, energy storage integration, and electric mobility Engineering solutions. Dr. Shanglong Li has authored 6 Documents with 67 Citations, reflecting strong scholarly impact and sustained contributions to Engineering research at an international level. His Engineering research outputs are widely disseminated through high quality journals and conferences, demonstrating innovation in control strategies, converter optimization, and system level Engineering design. He actively engages in collaborative Engineering research with industrial partners and research institutions, ensuring practical Engineering relevance and technology transfer. Several Engineering outcomes have supported applied development initiatives, contributing to grid reliability, energy efficiency, and sustainable Engineering solutions with measurable societal and industrial impact.


View ORCID Profile

Featured Publications

Assoc. Prof. Dr. Zied Hajej | Engineering | Research Excellence Award

Published on by Physicist Particle

Assoc. Prof. Dr. Zied Hajej | Engineering | Research Excellence Award

Associate Professor | University of Lorraine | France

Assoc. Prof. Dr. Zied Hajej is an internationally recognized academic and researcher whose work is firmly positioned at the core of Engineering, with sustained contributions across industrial Engineering, systems Engineering, computational Engineering, and decision oriented Engineering frameworks. His expertise integrates Engineering optimization, Engineering analytics, Engineering intelligence, and Engineering driven modeling to address complex production, maintenance, logistics, and reliability challenges. He has authored and co authored more than thirty peer reviewed journal articles, numerous international conference papers, books, and software solutions, reflecting a strong Engineering research portfolio with high global visibility. His Engineering research emphasizes integrated production and maintenance Engineering, sustainable Engineering systems, renewable energy Engineering, and data driven Engineering strategies supported by artificial intelligence and machine learning. He maintains active Engineering collaborations with leading international universities, research laboratories, and industrial partners, strengthening interdisciplinary Engineering innovation and knowledge transfer. His Engineering contributions have influenced industrial practices, improved system reliability, and supported sustainable societal outcomes through efficient Engineering solutions. Google Scholar profile of 1083 Citations, 18 h index, 32 i10 index.

Citation Metrics (Google Scholar)

1083
900
700
500
300
0

Citations

1083

h-index

18

i10 index

32

Citations

h-index

i10 index

Featured Publications

Prof. Zhumadil Baigunchekov | Robotics and Automation | Best Researcher Award

Published on by Physicist Particle

Prof. Zhumadil Baigunchekov | Robotics and Automation | Best Researcher Award

Professor | Al-Farabi Kazakh National University | Kazakhstan

Prof. Zhumadil Baigunchekov is a globally recognized authority in Robotics and Automation, with sustained contributions that have shaped advanced research and innovation in Robotics and Automation. His expertise spans theoretical foundations and applied solutions in Robotics and Automation, particularly in mechanism design, mechatronic systems, and intelligent robotic manipulators, strengthening the scientific depth of Robotics and Automation. He has authored over 400 scholarly publications, including high impact articles, monographs, and patents, reflecting exceptional productivity and leadership in Robotics and Automation research. His work in Robotics and Automation has fostered strong international collaborations with leading researchers and institutions, advancing interdisciplinary progress in Robotics and Automation and supporting technology driven societal development. Through mentoring doctoral and postgraduate researchers, he has significantly expanded human capital in Robotics and Automation, ensuring long term academic and industrial impact. His research outcomes in Robotics and Automation contribute to automation efficiency, precision engineering, and sustainable technological solutions, reinforcing the global relevance of Robotics and Automation. Google Scholar profile of 128 Citations, 7 h-index, 3 i10 index.

Citation Metrics (Scopus)

128
100
80
50
20
0

Citations

128

h-index

7

i10-index

3

Citations

i10-index

h-index

Featured Publications


Direct kinematics of a 3-PRRS type parallel manipulator

International Journal of Mechanical Engineering and Robotics Research, 2020
Cited by 16


Inverse kinematics of six-DOF three-limbed parallel manipulator

International Conference on Robotics in Alpe-Adria Danube Region, 2016
Cited by 14


Parallel manipulator of a class RoboMech

Mechanism and Machine Science (Springer), 2016
Cited by 13


Geometry and inverse kinematics of 3-PRRS type parallel manipulator

International Conference on Robotics in Alpe-Adria Danube Region, 2019
Cited by 9


Inverse kinematics of a 3-PRPS type parallel manipulator

International Conference on Robotics in Alpe-Adria Danube Region, 2020
Cited by 8

Prof. Dr. Murat Barut | Motor Control | Best Researcher Award

Published on by Physicist Particle

Prof. Dr. Murat Barut | Motor Control | Best Researcher Award

 Professor | Nigde Omer Halisdemir University | Turkey

Prof. Dr. Murat Barut, a distinguished Professor in Electrical and Electronics Engineering, has made significant contributions in the field of Motor Control, integrating advanced estimation techniques, artificial intelligence, and control algorithms into electrical drive systems. His educational background spans from Electronics Engineering at Erciyes University to dual doctorates in Control and Computer Engineering and Electric and Computer Engineering from prestigious universities in Türkiye and the USA. His professional journey includes academic and research roles at Nigde University, Istanbul Technical University, and the University of Alaska Fairbanks, where he focused extensively on Motor Control applications for induction and synchronous machines. Prof. Dr. Murat Barut’s research interests center on speed-sensorless estimation, position-sensorless operation, Extended Kalman Filter design, artificial intelligence-based modeling, and high-performance Motor Control systems. He has led and participated in multiple funded projects dedicated to real-time Motor Control algorithm development and FPGA implementations. Recognized with honors such as the Siemens Excellence Award and the Most Influential Scientist Award, he continues to advance Motor Control research with innovative methodologies. His professional skills encompass estimation theory, adaptive control, power electronics, and signal processing — all directed toward efficient Motor Control of electrical drives. Prof. Dr. Murat Barut has contributed as a reviewer and editor in various IEEE and SCI-indexed journals, reinforcing his reputation in the global Motor Control community. His career exemplifies excellence in engineering education, innovation, and leadership, with a strong record of scholarly impact demonstrated through a Google Scholar profile of 2011 citations, 20 h-index, and 27 i10-index.

Profiles: Google Scholar | ORCID

Featured Publications

1. Barut, M., Bogosyan, S., & Gokasan, M. (2007). Speed-sensorless estimation for induction motors using extended Kalman filters. IEEE Transactions on Industrial Electronics, 54(1), 272–280.

2. Barut, M., Bogosyan, S., & Gokasan, M. (2008). Experimental evaluation of braided EKF for sensorless control of induction motors. IEEE Transactions on Industrial Electronics, 55(2), 620–632.

3. Zerdali, E., & Barut, M. (2017). The comparisons of optimized extended Kalman filters for speed-sensorless control of induction motors. IEEE Transactions on Industrial Electronics, 64(6), 4340–4351.

4. Barut, M., Demir, R., Zerdali, E., & Inan, R. (2011). Real-time implementation of bi input-extended Kalman filter-based estimator for speed-sensorless control of induction motors. IEEE Transactions on Industrial Electronics, 59(11), 4197–4206.

5. Yildiz, R., Barut, M., & Zerdali, E. (2020). A comprehensive comparison of extended and unscented Kalman filters for speed-sensorless control applications of induction motors. IEEE Transactions on Industrial Informatics, 16(10), 6423–6432.*

Dr. Liping Gong | Mechanical engineering | Best Researcher Award

Published on by Physicist Particle

Dr. Liping Gong | Mechanical engineering | Best Researcher Award

Associate Research Fellow | University of Wollongong | Australia

Dr. Liping Gong is a distinguished researcher in the field of mechanical engineering, demonstrating exceptional expertise in advanced materials, vibration control, and energy harvesting systems. He earned his Doctor of Philosophy in mechanical engineering from the University of Wollongong, Australia, where his work received the Examiners’ Commendation for Outstanding Thesis. His academic foundation in mechanical engineering was strengthened by a Bachelor’s degree in Engineering Mechanics from Chang’an University, China. As a Postdoctoral Research Fellow, he has made significant strides in developing shear-stiffening phononic crystals through stereolithography for vibration and acoustic applications, alongside mentoring students in material characterization and finite element modeling—core skills in mechanical engineering research. His contributions span the design of magnetorheological elastomers, liquid metal-based nanogenerators, and intelligent materials for energy harvesting, reflecting innovation across various mechanical engineering domains. Dr. Gong’s research in mechanical engineering has been published in top-tier journals such as Advanced Materials, Nano Energy, and Smart Materials and Structures. His dedication has been recognized with the Best Oral Presentation Award at international mechanical engineering conferences. His research skills encompass experimental design, data analysis, material fabrication, and computational modeling—crucial aspects of mechanical engineering advancement. With deep involvement in reviewing for international journals, Dr. Gong continues to contribute to global mechanical engineering excellence. His professional journey highlights a commitment to innovation, interdisciplinary collaboration, and scientific impact within mechanical engineering.Google Scholar profile of 301 Citations, 7 h-index, 7 i10-index.

Profile: Google Scholar

Featured Publications

1. Wang, S., Gong, L., Shang, Z., Ding, L., Yin, G., Jiang, W., Gong, X., & Xuan, S. (2018). Novel safeguarding tactile e‐skins for monitoring human motion based on SST/PDMS–AgNW–PET hybrid structures. Advanced Functional Materials, 28(18), 1707538.

2. Zhang, Q., Lu, H., Yun, G., Gong, L., Chen, Z., Jin, S., Du, H., Jiang, Z., & Li, W. (2024). A laminated gravity‐driven liquid metal‐doped hydrogel of unparalleled toughness and conductivity. Advanced Functional Materials, 34(31), 2308113.

3. Wu, H., Gong, N., Yang, J., Gong, L., Li, W., & Sun, S. (2024). Investigation of a semi-active suspension system for high-speed trains based on magnetorheological isolator with negative stiffness characteristics. Mechanical Systems and Signal Processing, 208, 111085.

4. Gong, L., Xuan, T., Wang, S., Du, H., & Li, W. (2023). Liquid metal based triboelectric nanogenerator with excellent electrothermal and safeguarding performance towards intelligent plaster. Nano Energy, 109, 108280.

5. Jin, S., Yang, J., Sun, S., Deng, L., Chen, Z., Gong, L., Du, H., & Li, W. (2023). Magnetorheological elastomer base isolation in civil engineering: a review. Journal of Infrastructure Intelligence and Resilience, 2(2), 100039.

Franck C Mushid | Engineering | Best Researcher Award

Published on by Physicist Particle

Mr. Franck C Mushid | Engineering | Best Researcher Award

Doctoral Researcher | University of KwaZulu-Natal | South Africa

Mr. Franck C Mushid, an accomplished scholar in the field of Engineering, has demonstrated outstanding expertise and leadership through his role as a Lecturer and Doctoral Researcher at the University of KwaZulu-Natal. His Engineering background, combined with his deep focus on Battery Energy Storage Systems (BESS), reflects a strong commitment to advancing Engineering solutions for renewable integration and smart grid efficiency. With extensive Engineering research experience and innovative thinking, he develops frameworks that enhance voltage regulation, grid stability, and frequency control. His Engineering-oriented approach bridges theoretical understanding and practical implementation, emphasizing sustainability and real-world adaptability in modern distribution networks. Through Engineering education and mentorship, he cultivates the next generation of innovators, reinforcing academic excellence and applied Engineering research. His professional affiliations and publications highlight a consistent dedication to Engineering progress and energy system optimization. Recognized for his Engineering contributions to renewable infrastructure and grid reliability, he continues to influence the broader landscape of Engineering research and education. His achievements, particularly in sustainable energy systems, underline a vision driven by innovation and academic rigor. This distinguished academic profile is supported by a Google Scholar record of 37 citations, 1 h-index, and 1 i10 index, reflecting Mr. Franck C Mushid’s sustained impact in the field.

Profile: Google Scholar

Featured Publications

1. Mushid, F. C., & Dorrell, D. G. (2017). Review of axial flux induction motor for automotive applications. IEEE Workshop on Electrical Machines Design, Control and Diagnosis.

2. Mushid, F. C., & Khan, M. F. (2023). A survey on energy storage in electric power systems and its applications in MV/LV networks. Preserved in Portico, 21.

3. Mushid, F. C., & Khan, M. F. (2025). Battery energy storage for ancillary services in distribution networks: Technologies, applications, and deployment challenges—A comprehensive review. Energies, 18(20), 5443.

4. Apata, O., & Mushid, F. C. (2025). Energy storage systems in South Africa: A comprehensive review of policy challenges and opportunities for MV/LV networks. 2025 Conference on Information Communications Technology and Society (ICTAS).

5. Mushid, F. C., & Khan, M. F. (2025). An analysis of South Africa's diurnal energy distribution towards a strategy on LV storage. IET Renewable Power Generation, 19(1), e70106.

Dr. Mohamed Abdi | Engineering | Best Researcher Award

Published on by Physicist Particle

Dr. Mohamed Abdi | Engineering | Best Researcher Award

Teacher | Tissemsilt University | Algeria

Dr. Mohamed Abdi is a distinguished researcher in Mechanical Engineering whose academic and professional journey reflects a profound commitment to advancing the frontiers of Engineering science. With an extensive educational foundation in Energetics and Mechanical Engineering, his expertise bridges theoretical and applied aspects of Engineering thermodynamics, fluid mechanics, and heat transfer. His Engineering research primarily explores the rheological, hydrodynamic, and thermal behavior of non-Newtonian and nanofluid systems through advanced numerical and simulation-based Engineering methodologies. Dr. Abdi’s Engineering contributions include numerous publications in high-impact journals and conferences addressing turbulence modeling, convective heat transfer, and magnetohydrodynamic flow within complex Engineering systems. His participation in various international Engineering collaborations and his authorship of Engineering book chapters demonstrate his capacity to translate scientific insight into practical innovation. Dedicated to the progression of renewable energy and thermal management solutions, his Engineering studies aim to optimize system performance and sustainability through computational modeling and Engineering analysis. In recognition of his scholarly impact, he has been actively involved in Engineering education and mentoring, nurturing future engineers with analytical and problem-solving skills essential for global challenges. His meticulous approach to Engineering research and his ability to integrate theoretical models with industrial applications highlight his academic excellence and professional rigor. Dr. Abdi’s Engineering accomplishments stand as a testament to his intellectual leadership and contribution to multidisciplinary Engineering innovation. Google Scholar profile of 48 Citations, 4 h-index, 2 i10 index.

Profile: Google Scholar

Featured Publications

1. Abdi, M., Chaib, K., Menouer, A., & Benferhat, S. (2023). A natural convection conjugate heat transfer of nano-encapsulated phase change materials (NEPCMs) in an inclined blocked square enclosure. Numerical Heat Transfer, Part A: Applications, 84(6), 604–625.

2. Abdi, M., Noureddine, A., & Ould-Rouiss, M. (2020). Numerical simulation of turbulent forced convection of a power law fluid flow in an axially rotating pipe. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 42.

3. Abdi, M. (2024). Combined conjugate free convection and thermal radiation in a porous inclined enclosure occupied with Cu–Al₂O₃ hybrid nanofluid. Numerical Heat Transfer, Part B: Fundamentals, 1–39.

4. Abdi, M. (2025). Laminar convective heat transfer combining buoyancy and thermal radiation of Carreau fluid within a concentric and eccentric annulus. Numerical Heat Transfer, Part B: Fundamentals, 86(9), 2879–2908.

5. Abdi, M., Ould-Rouiss, M., & Noureddine, A. (2024). Hydrodynamic and rheological characteristics of a pseudoplastic fluid through a rotating cylinder. Numerical Heat Transfer, Part A: Applications, 85(2), 250–269.*

Dr. Wu Qiuxuan | Robotics and Automation | Best Researcher Award

Published on by Physicist Particle

Dr. Wu Qiuxuan | Robotics and Automation | Best Researcher Award

Teacher | Hangzhou Dianzi university | China

Dr. Wu Qiuxuan, an Associate Professor at the School of Automation, Hangzhou Dianzi University, is a distinguished researcher whose expertise and leadership have significantly advanced the field of Robotics and Automation. With a Ph.D. in Control Science and Engineering from Shanghai Jiaotong University, his academic journey reflects a deep commitment to innovation in Robotics and Automation, particularly in the areas of soft robotics, evolutionary learning, and home energy systems. Dr. Wu’s professional experience includes academic and research roles, notably as a visiting scholar at the Australian National University, where he furthered his understanding of intelligent robotic systems. His extensive research on bipedal robots, underwater biomimetic designs, and bio-inspired control algorithms has earned him international recognition. Dr. Wu has authored impactful papers in leading journals such as IEEE Robotics and Automation Letters and Bioinspiration & Biomimetics, contributing to global advancements in Robotics and Automation. His work integrates advanced modeling, deep reinforcement learning, and optimization techniques to enhance robotic adaptability and performance. Over the years, Dr. Wu has received numerous research grants supporting his pioneering studies on service robots, industrial automation, and 3D bioprinting technologies, underscoring his central role in the evolution of Robotics and Automation. With 721 citations, an h-index of 11, and an i10-index of 20, his scholarly influence continues to grow. Dr. Wu’s research skills encompass algorithmic innovation, system optimization, and control engineering, blending theoretical insight with practical application. In conclusion, Dr. Wu Qiuxuan stands as a driving force in Robotics and Automation, whose interdisciplinary expertise continues to shape intelligent systems and inspire the next generation of automation research worldwide.

Profiles: ORCID | Google Scholar

Featured Publications

1. Cai, N., He, M., Wu, Q., & Khan, M. J. (2019). On almost controllability of dynamical complex networks with noises. Journal of Systems Science and Complexity, 32(4), 1125–1139.

2. Chi, X., Liu, B., Niu, Q., & Wu, Q. (2012). Web load balance and cache optimization design based nginx under high-concurrency environment. Proceedings of the Third International Conference on Digital Manufacturing & Automation, 69–73.

3. Wu, Q., Yang, X., Wu, Y., Zhou, Z., Wang, J., Zhang, B., Luo, Y., Chepinskiy, S. A., ... (2021). A novel underwater bipedal walking soft robot bio-inspired by the coconut octopus. Bioinspiration & Biomimetics, 16(4), 046007.

4. Wu, Q., Gu, Y., Li, Y., Zhang, B., Chepinskiy, S. A., Wang, J., Zhilenkov, A. A., ... (2020). Position control of cable-driven robotic soft arm based on deep reinforcement learning. Information, 11(6), 310.

5. Chi, X., Wang, C., Wu, Q., Yang, J., Lin, W., Zeng, P., Li, H., & Shao, M. (2023). A ripple suppression of sensorless FOC of PMSM electrical drive system based on MRAS. Results in Engineering, 20, 101427.