Lilian Huang | Engineering | Best Researcher Award

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.

đź’Ľ 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

Barbaros PREVEZE | Engineering | Best Researcher Award

Assoc. Prof. Dr. Barbaros PREVEZE | Engineering | Best Researcher Award

Assoc. Prof. Dr Çankaya University Turkey

Barbaros Preveze is an Associate Professor in the Department of Electrical and Electronics Engineering at Çankaya University, Turkey. With a career spanning over two decades, he has made significant contributions to the fields of wireless communication, computer networks, and cognitive systems. He has served in various academic roles, including Vice Dean and Co-Head of the Department, reflecting his dedication to teaching and research excellence.

Profile

Google Scholar 

Orcid

Education 🎓

  • Ph.D. in Electrical-Electronics Engineering, BaĹźkent University (2011)
    Thesis: Cognitive Methods in Multimedia Communication
    Advisor: Aysel Ĺžafak
  • Master’s Degree in Computer Engineering, Çankaya University (2004)
    Thesis: Simulation on Efficiency of IP Protocol in Networks
    Advisor: Halil Tanyer EyyuboÄźlu
  • Bachelor’s Degree in Computer Engineering, Çankaya University (2001)

Experience 🏫

  • Associate Professor, Çankaya University (2023–Present)
  • Assistant Professor, Çankaya University (2011–2023)
  • Research Assistant, Çankaya University (2001–2011)

Barbaros has supervised numerous theses, conducted projects funded by TUBITAK, and developed innovative solutions in networking systems.

Research Interests 🔬

Barbaros Preveze focuses on wireless communication, SDN (Software-Defined Networking), cognitive networking, and network optimization. His current research explores adaptive traffic load management, deep learning in classification, and network security protocols.

Awards 🏆

  • Instructor Excellence Award by CISCO Networking Academy, USA (2017)
  • Recognized for outstanding contributions to teaching and research in network systems.

Publications Top Notes: 📚

A Novel High-Performance Traffic Load Management Method (2025). Wireless Personal Communications. Read here.

Network Flexibility in Mobile Multi-Hop Tunneling Networks (2023). Wireless Personal Communications. Read here.

SDN-driven Internet of Health Things (2022). Wireless Communications and Mobile Computing. Read here.

High-Performance Routing in Mobile Multi-Hop Networks (2020). Wireless Personal Communications. Read here.

Cognitive Methods for Ad Hoc Networks (2015). Wireless Personal Communications. Read here.

Improvement of Underlay Cooperative Cognitive Networks Bandwidth Efficiency under Interference and Power Constraints

Effects of novel long life routing algorithms on IEEE 802.16 throughput improvement methods for various vehicular velocities

Dynamic Optımızatıon of Image Brıgthness Level With Optimal Gamma Value Assessment (OGVA) Method

Research Article SDN-Driven Internet of Health Things: A Novel Adaptive Switching Technique for Hospital Healthcare Monitoring System

Cited extensively, these works focus on innovative methods for optimizing wireless and cognitive networks.