Chien-I Chang | Robotics | Research Excellence Award

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Mr. Chien-I Chang | Robotics | Research Excellence Award

National Chiayi University | Taiwan

Mr. Chien-I Chang is a robotics researcher whose work integrates intelligent systems, autonomous control, and applied computer science to advance next-generation robotic technologies. His research centers on designing adaptive robotic platforms capable of operating in dynamic, unstructured, or human-interactive environments, with a strong emphasis on sensor fusion, machine perception, and real-time decision-making. He has extensive experience developing autonomous navigation algorithms, robotic manipulation systems, and embedded architectures optimized for efficiency, stability, and scalability. His work bridges theoretical modeling with practical engineering, resulting in robotics solutions that are deployable across industrial, educational, and service-oriented settings. Through continuous exploration of mechatronic integration, computer vision, and learning-based control, he aims to enhance robot autonomy and expand practical use cases in daily life. His professional experience includes leading innovative robotics projects, mentoring teams in advanced robotic development, and transforming research outcomes into functional systems with societal impact. He is particularly interested in scalable and modular robotic designs that lower entry barriers for automation and support real-world problem solving. His research philosophy focuses on combining rigorous scientific inquiry with hands-on experimentation to accelerate the evolution of intelligent robotics. Through his academic pursuits and ongoing contributions to the robotics industry, he remains committed to advancing the performance, reliability, and accessibility of robotic technologies while fostering innovation that benefits education, industry, and broader communities.

Profile: Scopus

Featured Publication

Chang, C.-I., (2025). A low-cost autonomous outdoor robot with stabilized controller and deep-learning integrated GPS navigator under end-to-end implementation. Journal of the Chinese Institute of Engineers / Transactions of the Chinese Institute of Engineers, Series A. Advance online publication.

Edmund Radlbauer | Automation | Best Researcher Award

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 Mr. Edmund Radlbauer | Automation | Best Researcher Award

St. Pölten University of Applied Sciences, Austria.

Mr. Edmund Radlbauer is an experienced electrical engineering leader from Austria with over 30 years of progressive responsibility at Constantia Teich GmbH. Currently serving as Head of Electrical Engineering, he oversees a team of 30 and specializes in automation, PLC programming, system integration, and technical training. Known for his passion for technology and innovation, Edmund combines deep technical expertise with hands-on teaching experience, fostering continuous development within his team. His work focuses on smart manufacturing, data-driven automation, and maintaining high operational and safety standards through strategic planning and ISO compliance.

Author Profile

ORCID

Professional Experience 💼

With a career spanning over three decades at Constantia Teich GmbH in Austria, Edmund Radlbauer has advanced through multiple roles of increasing responsibility. He began as an Electrical Engineering Skilled Worker (1992–1994), progressed to Electrical Engineering Technician (1994–2002), and served as Supervisor and Team Leader (2002–2019). From 2019 to 2022, he held the positions of Deputy Head and then Head of Electrical Engineering. Since 2023, he has been serving as Head of Electrical Engineering, where he leads a team of 30 professionals and oversees system integration, technical training, maintenance management, and quality compliance.

Technical Skills 🛠️

He brings deep expertise in automation systems, PLC controls, PC-drive system integration, and industrial networking. His programming proficiency spans multiple languages tailored to automation. He has managed departmental budgets, overseen ISO certification audits, and implemented preventive maintenance strategies to maximize operational uptime. His technical leadership is matched by his strategic planning and resource management capabilities.

Teaching Experience👨‍🏫

In his current role as Head of Electrical Engineering, Edmund Radlbauer has extensive experience in technical instruction and workforce development. He is responsible for designing and delivering training programs for his 30-person team, focusing on essential skills such as PLC programming, industrial PC installation, system troubleshooting, and the integration of drive systems. He also imparts practical programming knowledge using C#, IL, FBD, LD, and SCL, enabling his team to develop innovative, automated solutions. His hands-on teaching approach emphasizes real-world application and continuous learning, ensuring his team remains technically proficient and industry-ready.

Awards & Honors 🏅

While no formal awards are listed, Edmund Radlbauer’s long-standing leadership and steady career progression within the same organization reflect consistent recognition of his competence, leadership, and value to the company.

Research Interests 🔍

Edmund Radlbauer is passionate about technological innovation, particularly in smart manufacturing and digital automation. His work focuses on optimizing automated systems, data acquisition, and control integration, aligning with modern Industry 4.0 practices. His enthusiasm for facts, efficiency, and innovation drives his commitment to advancing both technology and team capabilities.

Publications Top Notes: 📝

Paper Title: Designing a System Architecture for Dynamic Data Collection as a Foundation for Knowledge Modeling in Industry
Authors: Edmund Radlbauer, Thomas Moser, Markus Wagner
Year: 2025
Journal: Applied Sciences

 

Lilian Huang | Engineering | Best Researcher Award

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Prof. Lilian Huang | Engineering | Best Researcher Award

Professor Harbin Engineering University China

Lilian Huang is a professor at the School of Information and Communication Engineering, Harbin Engineering University. With a strong background in navigation, guidance, and control, she has made significant contributions to fractional-order chaotic systems, nonlinear dynamics, and chaos-based encryption. Her research has been widely published in high-impact journals, and she holds multiple patents related to chaotic system control and encryption techniques.

Profile

Scopus

🎓 Education

Lilian Huang earned her Ph.D. (2005) and Master’s (2002) in Navigation, Guidance, and Control from Harbin Institute of Technology. She completed her Bachelor’s in Automation from Zhongyuan University of Technology in 1996. Her academic journey laid a strong foundation for her expertise in control systems and nonlinear dynamics.

💼 Experience

Currently serving as a professor at Harbin Engineering University since 2012, Lilian Huang has also worked as an associate professor (2005-2012) and postdoctoral researcher (2005-2008) at the same institution. She was a visiting scholar at the University of Delaware in 2016-2017. Before joining academia, she worked as an assistant engineer at Harbin Dong’an Engine Manufacturing Co., Ltd. (1996-2000), gaining industry experience.

🔬 Research Interests

Lilian Huang’s research focuses on fractional-order chaotic systems, nonlinear dynamics, and chaos control. She explores their applications in encryption, secure communication, and dynamic system analysis. Her work contributes to developing novel chaotic systems with enhanced security features for information processing.

🏆 Awards & Recognitions

She has led several prestigious research projects funded by the National Natural Science Foundation of China and Heilongjiang Province. Her innovations in chaos-based encryption and nonlinear control have been recognized through numerous patents and high-impact publications.

📚 Publications Top Notes: 

Multi-Image Encryption Algorithm Based on Novel Spatiotemporal Chaotic System and Fractal Geometry – IEEE Transactions on Circuits and Systems I, 2024. Read here

Design and Implementation of Grid-Wing Hidden Chaotic Attractors with Only Stable Equilibria – IEEE Transactions on Circuits and Systems I, 2023. Read here

Generating Multiwing Hidden Chaotic Attractors with Only Stable Node-Foci – IEEE Transactions on Industrial Electronics, 2024. Read here

A Construction Method of N-Dimensional Non-Degenerate Discrete Memristive Hyperchaotic Map – Chaos, Solitons & Fractals, 2022. Read here

A Novel 3D Non-Degenerate Hyperchaotic Map with Ultra-Wide Parameter Range and Coexisting Attractors – Nonlinear Dynamics, 2023. Read here

Exploring extreme multistability in cyclic symmetric conservative systems via two distinct methods

Image encryption based on 2D-SAHM chaotic system and a novel DNA operation rule

Locally Active Memristor-Based De-Jong map and Information Hiding