Wenwei Luo | Automation | Best Researcher Award

Mr. Wenwei Luo | Automation | Best Researcher Award

Mr. Wenwei Luo at Institute of Logistics Science and Engineering, Shanghai Maritime University, China

Wenwei Luo is a passionate robotics researcher pursuing his Master’s degree at Shanghai Maritime University, specializing in control science and engineering. With a strong foundation in robotics engineering from Zhejiang Normal University, he has demonstrated academic excellence, technical proficiency, and innovative thinking in reinforcement learning and evolutionary robotics. Wenwei has published impactful research, led interdisciplinary projects, and earned recognition in national competitions. He possesses a unique combination of embedded systems expertise and AI-based control strategies, positioning him as a rising talent in intelligent robotics. His vision is to bridge adaptive learning and real-world robotics for autonomous systems. πŸ€–πŸ“šπŸ”

Publication Profile

Orcid

Academic Background

Wenwei Luo is currently pursuing a Master’s degree in Control Science and Engineering at Shanghai Maritime University under Associate Professor Bo Li, with a GPA of 3.84/4.0 and double First Academic Scholarships. His research interests span reinforcement learning, adaptive control, and evolutionary robotics. Previously, he earned his Bachelor’s degree in Robotics Engineering from Zhejiang Normal University under Associate Professor Hu Lan, graduating with a GPA of 3.40/4.0 and receiving a Third Academic Scholarship. Wenwei’s academic background blends strong theoretical knowledge with hands-on experience in intelligent systems and control engineering. πŸ§ πŸŽ“πŸ“ˆ

Professional Experience

Wenwei has led and contributed to various high-impact robotics projects. As Principal Investigator, he developed a novel inner-outer loop framework for modular robots using reinforcement learning and evolutionary optimization. As Co-Investigator, he worked on intelligent drone navigation and pursuit-evasion for port defense. He also led a RoboMaster project, designing embedded software for a wheeled robot with Mecanum wheels and a shooting mechanism. His work integrates control algorithms, real-time systems, and AI-based decision-making, validated through both simulations and real-world experiments. His diverse project roles highlight both leadership and deep technical acumen. πŸ€–πŸ§ͺπŸ§‘β€πŸ”¬

Awards and Honors

Wenwei has received several prestigious awards and honors throughout his academic career. At Shanghai Maritime University, he won the Third Prize in the 2022 “Huawei Cup” China Post-Graduate Mathematical Contest in Modeling. During his undergraduate years, he received the National Third Prize in the 2021 National College Students Robotics Competition (RoboMaster Event). He has also been awarded the First Academic Scholarship twice during his master’s program and the Third Academic Scholarship during his bachelor’s. These recognitions reflect his commitment to excellence and contributions to engineering and robotics research. πŸ₯‡πŸŽ–οΈπŸ“œ

Research Focus

Wenwei’s research centers on intelligent control and adaptive robotics, specifically focusing on reinforcement learning-based control, evolutionary robotics, and adaptive dynamic programming. He has pioneered a hierarchical framework integrating genetic algorithms and deep RL (PPO) for optimizing morphology and control of modular robots. His work extends to autonomous UAV path planning and pursuit-evasion strategies using fuzzy logic, neural networks, and Lyapunov-based verification. His research leverages advanced tools such as JAX and GPU parallelism for real-time learning and optimization. Wenwei aims to develop scalable, autonomous systems capable of intelligent behavior in complex environments. πŸ§ πŸ“‘πŸš€

Publication Top Notes

πŸ“„ Β Inner–Outer Loop Intelligent Morphology Optimization and Pursuit–Evasion Control for Space Modular Robot

Β πŸ“…Year: 2025 | πŸ“š Journal: Actuators, Volume 14

Conclusion

Wenwei Luo is a highly promising early-career researcher whose academic excellence, innovative research, and practical contributions make him a strong contender for a Best Researcher Award. With a Master’s GPA of 3.84/4.0 and a strong undergraduate foundation, he has demonstrated consistent academic achievement. His research focuses on cutting-edge areas such as modular robotics, reinforcement learning, and evolutionary optimization, exemplified by his novel inner–outer loop architecture combining genetic algorithms and PPO for pursuit–evasion tasks. He has authored peer-reviewed publications, including a journal article in Actuators, and holds a patent alongside software copyrights, reflecting both theoretical and applied innovation. His technical skill set spans AI frameworks, embedded systems, and robotics platforms, and his leadership roles in multiple projects showcase his capability for independent and collaborative research. Combined with national competition awards and scholarships, Luo’s profile embodies the qualities celebrated by the Best Researcher Award.

 

Ilias Chouridis | Automation | Best Researcher Award

Mr. Ilias Chouridis | Automation | Best Researcher Award

Mechanical Engineer, International Hellenic University, Greece

Ilias Chouridis is a passionate researcher in robotics and mechatronics, currently pursuing his Ph.D. at the International Hellenic University in Thessaloniki, Greece. πŸŽ“ His academic journey began with a diploma in Mechanical Engineering from the Polytechnic School of Aristotle University of Thessaloniki. With a keen interest in bio-inspired optimization methods and evolutionary algorithms, he focuses on enhancing unmanned aerial vehicle (UAV) path planning. πŸš€ His expertise in cutting-edge robotic systems has positioned him as an emerging figure in the field of intelligent navigation and optimization.

Publication Profile

πŸŽ“ Education

Ilias Chouridis obtained his diploma in Mechanical Engineering from the prestigious Polytechnic School of Aristotle University of Thessaloniki. Currently, he is advancing his academic career by pursuing a Ph.D. in Robotics and Mechatronics Systems Navigation at the International Hellenic University, where his research delves into innovative algorithms for UAV path planning. πŸ“‘

πŸ’Ό Experience

As a researcher at the International Hellenic University, Thessaloniki, Ilias Chouridis has actively contributed to the development of advanced robotic navigation systems. πŸ€– His work primarily focuses on optimization techniques for three-dimensional path planning, integrating artificial intelligence into robotic applications. Additionally, he has peer-reviewed research in Engineering Applications of Artificial Intelligence, further demonstrating his expertise in the field.

πŸ† Awards and Honors

While specific awards have not been listed, his scholarly contributions in robotics and optimization have earned recognition through citations and peer review activities. His work has gained traction in the academic community, reinforcing his impact in robotic path optimization. πŸŽ–οΈ

πŸ”¬ Research Focus

Ilias Chouridis’ research centers on bio-inspired optimization techniques and evolutionary algorithms, particularly for UAV path planning. 🌍 His studies involve enhancing robotic system efficiency through hybrid artificial intelligence methodologies, ensuring optimal and precise navigation in complex environments. His innovative approach aims to reduce path length and improve the adaptability of autonomous systems in real-world applications.

πŸ” Conclusion

Ilias Chouridis is an emerging scholar in robotics and artificial intelligence, with a strong focus on optimization and UAV navigation. His contributions to three-dimensional path planning are shaping the future of autonomous robotic systems. 🌟 His dedication to AI-driven navigation systems ensures that his work will continue to influence robotics research and technological advancements.

πŸ“š Publications

Enhanced Hybrid Artificial Fish Swarm Algorithm for Three-Dimensional Path Planning Applied to Robotic Systems – Robotics, 2025
πŸ“„ DOI: 10.3390/robotics14030032

Cited by: 1 article

Three-Dimensional Path Planning Optimization for Length Reduction of Optimal Path Applied to Robotic Systems – Robotics, 2024
πŸ“„ DOI: 10.3390/robotics13120178

Anthony Tolika Sibiya | Robotics | Best Researcher Award

Dr. Anthony Tolika Sibiya | Robotics | Best Researcher Award

Researcher, Centre for Researching Education and Labour, South Africa

Dr. Anthony Tolika Sibiya is a Post-Doctoral Fellow at the Centre for Researching Education and Labour, and a lecturer at Wits School of Education, where he teaches the Psychology of Education in TVET and Sociology of Education. He is also an associate lecturer at the American University of Central Asia and a visiting scholar at the Central European University through the Open Society University Network (OSUN) programme. His extensive teaching and research focus on promoting access and equity in education, especially in resource-constrained contexts. Dr. Sibiya previously lectured sociology at Nelson Mandela University and has a rich background in researching technical and vocational education and training (TVET).

Profile

Google Scholar

 

Education πŸŽ“

Ph.D. (Skills for Industrial Development), University of the Witwatersrand (2018-2022). Thesis Title: The contribution of Technical Vocational Education and Training formal programmes to inclusive company growth and transformation: A case study of the automotive manufacturing sector in South Africa. MA (Sociology), Nelson Mandela University (2014-2016). Thesis Title: Vocational Education & Training and Labour Markets in South Africa. BA (Honours) – Public Administration and Political Science, Nelson Mandela University (2011)

Experience 🌍

Associate Lecturer, American University of Central Asia (September 2022-present). Facilitates discussions and lectures on global education for development. Researcher, Centre for Researching Education and Labour (Wits University) (2018-present). Involved in multiple research projects related to skills development and TVET. TVET Researcher, Centre for Integrated Post-Schooling Education and Training (NMU) (2013-2017). Researched and coordinated curriculum innovation projects for vocational education and training programs. Lecturer, Department of Sociology and Anthropology, NMU (2016). Taught courses on social and environmental issues and labour studies.

Research Interests πŸ”

Dr. Sibiya’s research interests include technical and vocational education and training (TVET), skills development, education policy, labour markets, and the socio-economic impact of education in developing countries. His work focuses on the intersection of education and industrial development, aiming to enhance the inclusivity and effectiveness of TVET programs in South Africa and beyond.

Awards πŸ†

Named one of Mail & Guardian’s Top 200 Young South Africans in 2019 in the Education and Training category. Appointed to several leadership and advisory roles, including serving on the research steering committee for the Department of Planning, Monitoring and Evaluation, and as General Secretary of the South African Youth Council (SAYC).

Publications πŸ“š

Building Transformative Pedagogy in Vocational Education (2014)

The TVET sector and economic rebound implications in the world of work (2021)

The contribution of Technical and Vocational Education and Training formal programmes to inclusive company growth and transformation: a case study of the automotive …

Challenges regarding TVET training programs in the SA automotive industry