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

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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.

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Featured Publications

Dr. Daxiong Ji | Robotics | Research Excellence Award

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Dr. Daxiong Ji | Robotics | Research Excellence Award

Associate. Professor | Zhejiang University | China

Dr. Daxiong Ji is a distinguished researcher whose extensive contributions in marine science and intelligent systems are firmly rooted in robotics, with his work consistently advancing the global understanding of autonomous systems. His professional journey demonstrates a sustained commitment to robotics, especially in marine robotics, underwater robotics, intelligent robotics, and control-oriented robotics applications. As an associate professor and doctoral supervisor at the Ocean College of Zhejiang University, he has established a strong research portfolio that reflects a deep engagement with cutting-edge robotics innovations. His scholarly output exceeds forty peer-reviewed publications and more than twenty invention patents, each reinforcing his influence in the evolution of advanced robotics for underwater environments. His collaborations with leading experts, including international partnerships in control theory and underwater systems engineering, highlight his role in strengthening interdisciplinary ties across global robotics communities. Dr. Daxiong Ji’s research in marine robotics has driven novel solutions in dynamic modeling, autonomous navigation, fault diagnosis, and intelligent perception systems. His pioneering development of underwater multi-rotor platforms and data-driven diagnostic systems for deep-sea thrusters showcases high-impact applications of robotics that enhance safety, operational reliability, and environmental sustainability. His inventive work on intelligent robotic platforms for ship maintenance demonstrates the societal value of robotics, particularly in reducing labor intensity, improving maritime efficiency, and contributing to ocean-engineering innovation. Beyond research, he serves the international robotics field as an IEEE senior member, guest editor, reviewer for numerous prestigious journals, and evaluator for major scientific programs, further solidifying his leadership within the broader robotics landscape. His academic service and accomplishments reflect a holistic dedication to advancing robotics technologies while nurturing the next generation of scientists in marine robotics and intelligent systems. Google Scholar profile of 1211 Citations, 16 h-index, 22 i10-index.

Profiles: Google Scholar | ORCID

Featured Publications

1. Zhang, B., Ji, D., Liu, S., Zhu, X., & Xu, W. (2023). Autonomous underwater vehicle navigation: A review. Ocean Engineering, 273, 113861.

2. Gan, W., Zhu, D., & Ji, D. (2018). QPSO-model predictive control-based approach to dynamic trajectory tracking control for unmanned underwater vehicles. Ocean Engineering, 158, 208–220.

3. Bi, Z., Zhang, N., Xue, Y., Ou, Y., Ji, D., Zheng, G., & Chen, H. (2024). Oceangpt: A large language model for ocean science tasks. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics.

4. Chen, C. W., Jiang, Y., Huang, H. C., Ji, D. X., Sun, G. Q., Yu, Z., & Chen, Y. (2017). Computational fluid dynamics study of the motion stability of an autonomous underwater helicopter. Ocean Engineering, 143, 227–239.

5. Ji, D., Yao, X., Li, S., Tang, Y., & Tian, Y. (2021). Model-free fault diagnosis for autonomous underwater vehicles using sequence convolutional neural network. Ocean Engineering, 232, 108874.

Dr. Liping Gong | Mechanical engineering | Best Researcher Award

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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

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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. Marran Al Qwaid | Artificial Intelligence | Best Researcher Award

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Dr. Marran Al Qwaid | Artificial Intelligence | Best Researcher Award

Assistant Professor | Shaqra University | Saudi Arabia

Dr. Marran Al Qwaid is a distinguished academic and Vice Dean of E-Learning and Digital Transformation at Shaqra University, holding a Ph.D. in Computing and Information Systems. His extensive experience as an Assistant Professor in Computer Science reflects a strong foundation in Artificial Intelligence, cybersecurity, and digital innovation. Dr. Marran Al Qwaid has contributed significantly to research in Artificial Intelligence-driven optimization, secure data systems, and computational efficiency. His academic journey spans global institutions, earning degrees from reputed universities and professional certifications in Artificial Intelligence, cybersecurity, and leadership from renowned platforms. With publications in high-impact journals and participation in international conferences, he has established a profound presence in the field of Artificial Intelligence. His research explores Artificial Intelligence applications in secure computing, data privacy, and cyber defense, demonstrating advanced analytical and problem-solving skills. As an editor and committee member in multiple international journals and conferences, he showcases leadership in Artificial Intelligence research and digital transformation. Dr. Marran Al Qwaid has received recognition for his scholarly and administrative excellence, including appointments to key university committees related to Artificial Intelligence, cloud computing, and innovation governance. His technical expertise, combined with a vision for enhancing Artificial Intelligence education and application, marks him as a pivotal contributor to the digital future. His remarkable career underlines excellence in Artificial Intelligence teaching, research, and leadership. Scopus profile of 2 Citations, 4 Documents, 1 h-index.

Profile: Scopus

Featured Publication

1. Performance Optimization of Grounding System for Multi-Voltage Electrical Installation. (2025). Applied Sciences, Switzerland.

Dr. Mohamed Abdi | Engineering | Best Researcher Award

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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. Lijuan Li | Artificial Intelligence | Best Researcher Award

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Dr. Lijuan Li | Artificial Intelligence | Best Researcher Award

Deputy Director of Academic Affairs Office at Nanjing Tech University, China

Dr. Lijuan Li is a distinguished professional whose career embodies excellence in automation, engineering, and artificial intelligence. Her contributions extend across teaching, research, and leadership, demonstrating a commitment to advancing knowledge in artificial intelligence. She integrates artificial intelligence into modeling, optimization, and process control, shaping the direction of modern automation. Through her academic and professional efforts, Dr. Li enhances the global understanding of artificial intelligence. She emphasizes innovation and collaboration in artificial intelligence, ensuring sustainable growth in her research. With dedication to academic leadership and artificial intelligence applications, she serves as a role model. Her work consistently reflects the transformative role of artificial intelligence in engineering, research, and advanced automation systems.

Professional Profile

Scopus Profile

Education 

Dr. Lijuan Li has established a strong educational foundation that has supported her professional journey in artificial intelligence. Her academic background demonstrates a thorough engagement with control science, engineering, and artificial intelligence. Through her advanced studies, Dr. Li developed expertise in artificial intelligence methodologies, modeling, and optimization. Education played a central role in shaping her vision, allowing her to expand artificial intelligence applications across multiple disciplines. She integrated artificial intelligence in both theoretical frameworks and practical experiments, enhancing the impact of her academic growth. Dr. Li emphasizes the essential role of artificial intelligence in research and teaching. Her education reflects a structured pathway where artificial intelligence consistently supported her achievements. With a robust educational background, she continuously fosters innovation and builds meaningful contributions through artificial intelligence.

Experience 

Dr. Lijuan Li has cultivated a broad professional experience that centers on artificial intelligence applications in automation and engineering. Her role as Professor and Director allows her to expand artificial intelligence within research and academic leadership. She has guided multiple research initiatives where artificial intelligence shaped outcomes in modeling, process design, and optimization. Through professional roles, she integrates artificial intelligence to strengthen collaborations and inspire colleagues. Artificial intelligence remains a consistent theme in her professional journey, supporting innovation in automation. She applies artificial intelligence in research projects and administrative leadership. As a professional leader, she builds institutional strategies that align with artificial intelligence-driven advancements. Her professional experience reflects her dedication to artificial intelligence as a core element. By integrating artificial intelligence across academic and applied domains, Dr. Li continues to influence automation research.

Research Interest 

Dr. Lijuan Li research interests are centered on artificial intelligence with emphasis on automation, process modeling, and optimization. She explores artificial intelligence for improving industrial systems and control performance evaluation. Her research applies artificial intelligence across process engineering, enhancing efficiency and sustainability. With focus on artificial intelligence, she builds methodologies that integrate innovation and practical applications. She actively investigates artificial intelligence for complex system management. Artificial intelligence serves as the foundation of her interdisciplinary research projects. Her interests combine automation, engineering, and artificial intelligence to improve real-world outcomes. She highlights artificial intelligence as the driver of progress in process industries. Dr. Li’s work demonstrates how artificial intelligence fosters adaptability in automation. Her research interests continually evolve with artificial intelligence, addressing both theoretical development and practical impact in automation.

Award and Honor

Dr. Lijuan Li has earned recognition through awards and honors that celebrate her expertise in artificial intelligence. Her achievements highlight how artificial intelligence advances contribute to automation and research leadership. Awards demonstrate the value of integrating artificial intelligence into engineering and academic fields. Honors reflect her dedication to artificial intelligence innovations and their societal impact. She consistently promotes artificial intelligence as a transformative tool in academia. Recognitions validate her ability to advance artificial intelligence knowledge and its applications. Each award highlights her strong commitment to artificial intelligence excellence. Her honors emphasize leadership in research and teaching where artificial intelligence remains central. The impact of artificial intelligence in her achievements underscores her pioneering contributions. Through these recognitions, Dr. Li’s role in promoting artificial intelligence within academia and research is continually reinforced.

Research Skill

Dr. Lijuan Li possesses advanced research skills with deep expertise in artificial intelligence. Her skills include modeling, simulation, optimization, and performance evaluation driven by artificial intelligence. She demonstrates the capacity to apply artificial intelligence across interdisciplinary projects. Her research skills extend to developing methodologies where artificial intelligence supports process innovation. Artificial intelligence plays a consistent role in her experiments, data analysis, and optimization strategies. She uses artificial intelligence to design frameworks that enhance automation. With research skills grounded in artificial intelligence, she contributes to advancing industrial applications. Her expertise ensures innovation in artificial intelligence for automation systems. Dr. Li’s research skills emphasize adaptability, precision, and creative integration of artificial intelligence. Through these capabilities, she continues to strengthen the scientific community’s reliance on artificial intelligence as a key research driver.

Publication Top Notes 

Title: Real-time prediction of temperature field during welding by data-mechanism driving 
Journal: Journal of Manufacturing Processes
Year : 2025

Title: A new method of simulation and optimization in biogas high-pressure water scrubbing process based on surrogate model
Journal: Separation Science and Technology Philadelphia
Year : 2025

Title: Factor Graph Optimization Localization Method Based on GNSS Performance Evaluation and Prediction in Complex Urban Environment  
Journal: IEEE Sensors Journal
Year : 2025

Title: Digital twin for weld pool evolution by data-physics integrated driving 
Journal: Journal of Manufacturing Processes
Year : 2024

Title: Kinetic parameter identification in the residue hydro refining reaction using a novel optimizer: IAC-SCA
Journal: Chemical Engineering Science
Year : 2024

Title: A method for predicting methane production from anaerobic digestion of kitchen waste under small sample conditions
Journal: Environmental Science and Pollution Research
Year : 2024

Conclusion

Dr. Lijuan Li career demonstrates excellence in artificial intelligence, automation, and engineering. She highlights artificial intelligence as a transformative power in education, research, and professional leadership. Her journey illustrates how artificial intelligence enriches scientific contributions and technological applications. She applies artificial intelligence consistently across teaching, research, and management. Artificial intelligence remains the foundation of her innovation strategies and academic vision. Through leadership, she integrates artificial intelligence in advancing automation fields. Dr. Li’s conclusion underscores her dedication to artificial intelligence in academia and industry. Her career is a testament to the enduring relevance of artificial intelligence. She inspires peers by demonstrating the potential of artificial intelligence for global progress. In conclusion, her professional path reflects a strong and lasting commitment to artificial intelligence across disciplines.