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

๐ŸŽ“ 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 Bachelorโ€™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.

๐Ÿ’ผ 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 Dongโ€™an Engine Manufacturing Co., Ltd. (1996-2000), gaining industry experience.

๐Ÿ”ฌ 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.

๐Ÿ† 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.

๐Ÿ“š Publications Top Notes:ย 

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

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

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

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

A Novel 3D Non-Degenerate Hyperchaotic Map with Ultra-Wide Parameter Range and Coexisting Attractors โ€“ 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

 

Geleta Fikadu | Engineering | Best Researcher Award

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Assist. Prof. Dr. Geleta Fikadu | Engineering | Best Researcher Award

Ph.D adama science and Technology university Ethiopia

๐ŸŽ“ Dr. Geleta Fekadu Daba, an accomplished expert in Thermal Engineering, earned his Ph.D. from the prestigious Indian Institute of Technology Roorkee (IITR) in 2020. His career spans academia, research, and engineering innovation, focusing on renewable energy systems and automotive engineering. Currently an Assistant Professor at Wollega University, Ethiopia, Dr. Daba actively contributes to energy-efficient technologies, especially solar-assisted liquid desiccant air conditioning systems.

Profile

Google Scholar

Education

๐ŸŽ“ Ph.D. in Thermal Engineering – Indian Institute of Technology Roorkee, India (2020)
๐ŸŽ“ M.Sc. in Automotive Engineering – Adama Science and Technology University, Ethiopia (2013)
๐ŸŽ“ B.Sc. in Automotive Technology – Adama Science and Technology University, Ethiopia (2005)

Professional Experience

๐Ÿ›  Assistant Professor, Department of Mechanical Engineering, Wollega University, Ethiopia (2015โ€“Present)

  • Delivered courses on thermodynamics, fluid mechanics, and renewable energy systems.
  • Supervised graduate students and coordinated departmental research projects.
  • Led innovative studies on solar energy applications and energy optimization.

Research Interests

๐Ÿ”ฌ Dr. Dabaโ€™s research encompasses renewable energy, automobile engineering, thermodynamics, heat and mass transfer, nano-fluids for heat transfer, and solar energy systems. His work emphasizes practical solutions for sustainable development and energy efficiency.

Awards and Recognition

๐Ÿ† Received 33 lac INR funding for his Ph.D. project on solar-assisted liquid desiccant air conditioning from the Department of Science and Technology, India.

Publications

๐Ÿ“š Dr. Daba has published extensively in reputed journals and conferences. Below are selected works with links:

Renewable energy for liquid desiccants air conditioning system: A review

Energy and Exergy Analysis of Marquise Shaped Channel Flat Plate Solar Collector Using Al2O3โ€“Water Nanofluid and Water

Comparative performance evaluation of gasoline and its blends with ethanol in gasoline engine

Liquid desiccant air conditioning using single Storage solution tank, evaporative cooling, and marquise-shaped solar collector

Study of Performance of Solar Flat Plate Collector Using Al2O3/Water Nanofluids

Experimental Study of Internallyโˆ’ Cooled Dehumidification of Liquid Desiccant for a Single Storage Tank

Energy and Exergy Analysis of Marquise Shaped Channel Flat Plate Solar Collector Using Al2O3โ€“Water Nanofluid and Water

Performance analysis of a compact liquid desiccant cooling system

Weijun Wang | Engineering | Best Researcher Award

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Dr. Weijun Wang | Engineering | Best Researcher Award

Student Changchun University of Technology China

๐ŸŒŸ Weijun Wang (็Ž‹ๅจ็บ) is a researcher in the field of Statistics, currently pursuing a Ph.D. at Changchun University of Technology, China. With expertise spanning fault diagnosis, data-driven designs, and dynamic systems, Weijun Wang has made significant contributions to high-speed train traction systems and other advanced engineering applications.

Profile

Scopus

Education

๐ŸŽ“ Weijun Wang’s academic journey includes:

  • Ph.D. in Statistics (2021โ€“Present): Changchun University of Technology.
  • Master’s in Information and Communication Engineering (2018โ€“2021): Changchun University of Technology.
  • Bachelor’s in Electronic Information Engineering (2014โ€“2018): Changchun University of Technology.

Experience

๐Ÿ‘ฉโ€๐Ÿ”ฌ Weijun Wang has extensive experience in developing innovative fault detection methods, dynamic system models, and data-driven algorithms. Collaborating on multidisciplinary projects, she has co-authored several impactful journal and conference papers.

Research Interests

๐Ÿ”ฌ Weijun Wang’s research focuses on:

  • Fault detection and diagnosis.
  • Data-driven modeling for high-speed train traction systems.
  • Dynamic systems, robust designs, and performance prediction.

Awards

๐Ÿ† First Prize: National Finals at RAICOM, 2024.
๐Ÿ… Innovation Award: 3rd China Urban Rail Transit Science and Technology Innovation Competition, 2022.

Publications

A Martingale Posterior-Based Fault Detection and Estimation Method for Electrical Systems of Industry

Dynamic Fault Detection Method of Traction Systems in High-Speed Trains Based on Joint Observer

Data-Driven Robust Designs of Performance Prediction and Its Application in High-speed Trains

Enhanced Fault Diagnosis Using Broad Learning for Traction Systems in High-Speed Trains

State Estimation with Partial Random Walk

State-degradation-oriented fault diagnosis for high-speed train running gears system

Fault prediction of high-speed train running gears based on hidden markov model and analytic hierarchy process

Multi-sensor system filtering and fault detection under unbiased constraint and colored measurement noise