Emmnaouil-Marinos Mantalas | Neural Networks | Best Researcher Award

Mr. Emmnaouil-Marinos Mantalas | Neural Networks | Best Researcher Award

Undergraduate | University of West Attica | Greece

Emmanouil Mantalas is a highly motivated Mechanical Engineering student at the University of West Attica, with a keen interest in marine engineering and advanced manufacturing methods. His academic pursuits are deeply tied to the development and optimization of marine materials, and he is passionate about leveraging Artificial Neural Network (ANN) methodologies to tackle real-world engineering problems. Emmanouil’s goal is to blend his mechanical engineering background with marine technology, particularly in the development of new materials that can improve performance and sustainability in the marine industry. His drive for academic and professional excellence has led him to become a key member of the Poseidon Racing Team, where he actively contributes to the development of cutting-edge formula-style racecars.

Profile

Orcid

Education

Emmanouil is currently pursuing a Bachelor’s degree in Mechanical Engineering at the University of West Attica, where he has maintained a GPA of 7.15/10. Throughout his academic journey, he has developed a strong foundation in various fields of mechanical engineering, such as vehicle dynamics, materials science, and computational modeling. Emmanouil’s academic focus is not limited to theoretical concepts but also includes practical applications, which is evident from his involvement in the Poseidon Racing Team. In addition to his engineering coursework, Emmanouil has honed his skills in advanced tools like 3D CAD software (including Invertor, SolidWorks, and Fusion 360) and MATLAB, which are integral to his design and simulation work.

Experience

Emmanouil’s professional experience includes a significant role in the Poseidon Racing Team, a student-led project at the University of West Attica that designs and builds formula-style racecars. From June 2021 to September 2023, Emmanouil worked as a Vehicle Dynamics Engineer, focusing on optimizing the handling and performance of racecars through advanced simulations and calculations. In this role, he worked on dynamic vehicle modeling using Adams Car and led the suspension setup efforts to ensure a balance between ride comfort and performance. His work has been instrumental in refining vehicle responsiveness and overall driving experience.

Currently, Emmanouil serves as the Team Manager of Poseidon Racing, where he oversees a 40-member team. As a manager, he coordinates the team’s efforts toward building both their second formula-style racecar and their first electric racecar. Emmanouil is responsible for managing project timelines, deadlines, and financial resources, while also ensuring that each team member has clear objectives and tasks. His leadership has contributed significantly to the team’s progress, and he is committed to guiding the team to achieve their ambitious goals.

Research Interests

Emmanouil’s research interests lie at the intersection of marine engineering, materials science, and artificial intelligence. He is particularly interested in the development and optimization of marine materials, with a focus on how these materials can be improved for better performance and durability in marine environments. Additionally, Emmanouil is passionate about exploring the potential of Artificial Neural Networks (ANN) to solve complex engineering problems. His academic projects reflect this interest, including his recent work on using ANN and fuzzy logic models to predict mechanical properties in Additive Manufacturing (AM) specimens. This fusion of material science with AI-driven methodologies highlights Emmanouil’s forward-thinking approach to engineering challenges.

Awards

Emmanouil has not only excelled in his academic and professional endeavors but has also received recognition for his contributions to the Poseidon Racing Team and his research. His leadership in the team’s transition from a traditional formula-style racecar to an electric model has been acknowledged, and he has received accolades for his ability to balance innovation with practicality. Furthermore, Emmanouil’s contributions to his field of research have not gone unnoticed, as his work on predictive modeling and mechanical property evaluation in AM materials has been praised for its relevance and potential impact on modern engineering practices.

Publications

  1. Mantalas, E., Sagias, V. D., Zacharia, P., & Stergiou, C. I. (2024). Neuro-Fuzzy Model Evaluation for Enhanced Prediction of Mechanical Properties in AM Specimens. Applied Sciences, MDPI. https://doi.org/10.3390/app15010007

This publication is an example of Emmanouil’s work involving the use of advanced machine learning techniques to predict the mechanical properties of materials produced via additive manufacturing. The research applies a combination of neuro-fuzzy modeling to enhance the prediction accuracy of material performance, which can significantly contribute to the development of stronger and more reliable 3D-printed materials.

Conclusion

Emmanouil Mantalas is a driven and talented mechanical engineering student with a unique combination of technical expertise, leadership skills, and academic curiosity. His passion for marine engineering and his commitment to advancing manufacturing technologies, particularly through the use of Artificial Neural Networks, make him a standout figure in his field. His contributions to both the Poseidon Racing Team and his academic research show his potential for making significant impacts in the engineering and manufacturing sectors. Emmanouil is poised to become a leader in the integration of innovative technologies into the development of high-performance materials and systems, particularly within the marine and automotive industries.

Yunxiang Lu | Neural Networks | Best Researcher Award

Dr. Yunxiang Lu | Neural Networks | Best Researcher Award

Ph.D | College of Automation & College of Artificial Intelligence | China

Dr. Yunxiang Lu is a dedicated researcher and academic currently affiliated with the College of Automation and the College of Artificial Intelligence at Nanjing University of Posts and Telecommunications, China. His work spans advanced topics in control science, neural networks, and ecological competition networks, underpinned by rigorous academic and practical experiences. Dr. Lu’s career is marked by his pursuit of ground breaking research, particularly in the realms of dynamic systems, network topology, and bifurcation analysis. Through a robust combination of theoretical exploration and simulation-based validation, he has significantly contributed to the field of artificial intelligence and control systems.

Profile

Scopus

Education

Dr. Lu embarked on a combined Master and Ph.D. program in Control Science and Engineering in 2019. As part of his academic journey, he is currently affiliated with the Polish Academy of Sciences – Institute of Systems Research for a year-long research collaboration. This academic foundation has provided him with a strong grasp of theoretical frameworks and hands-on application in control engineering, establishing him as a skilled scholar and innovator in his domain.

Experience

Dr. Lu’s professional experience includes a stint as an IT Technical Engineer at China Telecom Corporation, where he contributed to the 5G+MEC smart factory project, enhancing his expertise in telecommunications and automation. His role involved exploring the integration of 5G technologies in industrial applications, further broadening his technical horizon. Additionally, his active participation in academia includes leading research projects funded by Jiangsu Province, with notable achievements in ecological competition networks and time-delay feedback control mechanisms.

Research Interests

Dr. Lu’s research interests focus on fractional-order systems, neural networks, ecological dynamics, and the control of anomalous diffusion processes. He aims to uncover the intricate behaviors of complex networks influenced by various dynamic parameters. His work explores how time delays, fractional orders, and network topologies impact system stability and evolution, with applications ranging from neural systems to cyber-physical and ecological networks.

Awards and Honors

Dr. Lu has received numerous accolades recognizing his academic excellence and contributions. Notably, he was honored as the Excellent Graduate of Nanjing University of Posts and Telecommunications in 2022 and received the prestigious Postgraduate Academic Scholarship awards multiple times during his tenure. These distinctions underscore his dedication and consistent performance in both research and academics.

Publications

Dr. Lu has co-authored several impactful publications in esteemed journals.

Tipping prediction of a class of large-scale radial-ring neural networks

    • Authors: Lu, Y., Xiao, M., Wu, X., Cao, J., Zheng, W.X.
    • Publication Year: 2025
    • Citations: 0

Complex pattern evolution of a two-dimensional space diffusion model of malware spread

    • Authors: Cheng, H., Xiao, M., Lu, Y., Rutkowski, L., Cao, J.
    • Publication Year: 2024
    • Citations: 0

Spatiotemporal Evolution of Large-Scale Bidirectional Associative Memory Neural Networks With Diffusion and Delays

    • Authors: Lu, Y., Xiao, M., Liang, J., Wang, Z., Cao, J.
    • Publication Year: 2024
    • Citations: 1

Stability and Bifurcation Exploration of Delayed Neural Networks with Radial-Ring Configuration and Bidirectional Coupling

    • Authors: Lu, Y., Xiao, M., He, J., Wang, Z.
    • Publication Year: 2024
    • Citations: 6

Stability and Dynamics Analysis of Time-Delay Fractional-Order Large-Scale Dual-Loop Neural Network Model With Cross-Coupling Structure

    • Authors: Du, X., Xiao, M., Qiu, J., Lu, Y., Cao, J.
    • Publication Year: 2024
    • Citations: 0

QUALITATIVE ANALYSIS OF HIGH-DIMENSIONAL NEURAL NETWORKS WITH THREE-LAYER STRUCTURE AND MULTIPLE DELAYS

    • Authors: He, J., Xiao, M., Lu, Y., Sun, Y., Cao, J.
    • Publication Year: 2024
    • Citations: 0

Early warning of tipping in a chemical model with cross-diffusion via spatiotemporal pattern formation and transition

    • Authors: Lu, Y., Xiao, M., Huang, C., Wang, Z., Cao, J.
    • Publication Year: 2023
    • Citations: 8

Tipping point prediction and mechanism analysis of malware spreading in cyber–physical systems

    • Authors: Xiao, M., Chen, S., Zheng, W.X., Wang, Z., Lu, Y.
    • Publication Year: 2023
    • Citations: 10

Control of tipping in a small-world network model via a novel dynamic delayed feedback scheme

    • Authors: He, H., Xiao, M., Lu, Y., Wang, Z., Tao, B.
    • Publication Year: 2023
    • Citations: 9

Bifurcation Dynamics Analysis of A Class of Fractional Neural Networks with Mixed Delays

    • Authors: Luan, Y., Lu, Y., Xiao, M., Zhang, J.
    • Publication Year: 2023
    • Citations: 0

Conclusion

Dr. Yunxiang Lu exemplifies the synthesis of academic brilliance, practical expertise, and research acumen. His dedication to advancing knowledge in control systems and artificial intelligence positions him as a visionary scholar in his field. Through his continued exploration of dynamic networks and innovative control strategies, he remains committed to addressing complex challenges in modern science and technology.