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.

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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

huayu qi | Engineering | Best Researcher Award

Mr. huayu qi | Engineering | Best Researcher Award

Shandong University of Technology China

Qi Huayu is a dedicated researcher and master’s student at Shandong University of Technology. With a strong focus on particle morphology quantification, Qi has contributed significantly to developing innovative methods for characterizing particle structures. Through rigorous research, Qi aims to advance scientific understanding and practical applications in the field of particle analysis.

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Education ๐ŸŽ“

  • Masterโ€™s Degree | Shandong University of Technology

Experience ๐Ÿ‘จโ€๐Ÿ”ฌ

  • Engaged in research on particle morphology quantification and regeneration.
  • Published multiple papers in high-impact scientific journals.
  • Developed quantitative analysis methods for particle characterization.

Research Interests ๐Ÿ”ฌ

  • Particle Morphology Quantification
  • Triangle Side Ratio Method for Angularity Characterization
  • Multi-scale Particle Morphological Analysis
  • Application of Morphology Analysis in Engineering and Material Science

Awards ๐Ÿ†

  • Best Researcher Award (Nominee, 2025)
  • Recognition for innovative contributions in particle morphology quantification.

Publications Top Notes: ๐Ÿ“š

“Particle morphology quantification and regeneration based on triangle side ratio”

Granular Matter (2025)

DOI: 10.1007/s40571-025-00919-y

Cited by: Pending citation data

“Triangle Side Ratio Method for Particle Angularity Characterization: From Quantitative Assessment to Classification Applications”

Granular Matter (2024)

DOI: 10.1007/s10035-024-01449-9

Cited by: Pending citation data

“Multi-scale morphological quantification of particle based on altitude-to-chord ratio”

 

Yue-Der Lin | Engineering | Best Researcher Award

Prof. Yue-Der Lin | Engineering | Best Researcher Award

Professor Feng Chia University/Department of Automatic Control Engineering Taiwan

๐ŸŽ“ Dr. Yue-Der Lin is a Professor at the Department of Automatic Control Engineering, Feng Chia University, Taiwan. With extensive experience in biomedical engineering, he specializes in biopotential amplifier design, adaptive signal processing, and EEG signal analysis. His research bridges biomedical and electronic engineering, contributing significantly to advancements in biopotential measurement and bioinformatics.

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Education

๐Ÿ“˜ Ph.D. in Electrical Engineering (Biomedical Engineering Program)
National Taiwan University, Taiwan (1992โ€“1998)
๐Ÿ“˜ Masterโ€™s in Electrical Engineering (Biomedical Engineering & Electronic Circuit Programs)
National Taiwan University, Taiwan (1987โ€“1989)
๐Ÿ“˜ Bachelorโ€™s in Electrical Engineering (Control Program)
Chung Yuan Christian University, Taiwan (1983โ€“1987)

Professional Experience

๐Ÿ’ผ Professor, Department of Automatic Engineering, Feng Chia University (2019โ€“Present)
๐Ÿ’ผ Director, Department of Automatic Engineering (2016โ€“2017)
๐Ÿ’ผ Director, Masterโ€™s Program of Biomedical Informatics and Biomedical Engineering (2014โ€“2017)
๐Ÿ’ผ Visiting Scholar, Department of Electrical and Computer Engineering (2007)

Research Interests

๐Ÿ”ฌ Dr. Lin’s research focuses on:

  • Biopotential amplifier design
  • Adaptive signal processing
  • Biomedical signal analysis (EEG, EMG)
  • Bioinformatics systems
  • Advanced imaging techniques in biomedical engineering

Honors and Awards

๐Ÿ† Excellent Research Award, Feng Chia University (2005, 2007โ€“2009, 2011โ€“2019, 2021โ€“2024)
๐Ÿ† Distinguished Scholar Award, National Science and Technology Council, Taiwan (2014โ€“2015, 2018โ€“2020, 2022โ€“2024)
๐Ÿ† Albert Nelson Marquis Lifetime Achievement Award (2017โ€“2018, 2020)
๐Ÿ† Marquis Whoโ€™s Who in the World (2008โ€“2010, 2012โ€“2020)
๐Ÿ† IBC Leading Engineers of the World (2008, 2013, 2015)

Publications Top Notes:

๐Ÿ“š Below are Dr. Yue-Der Lin’s selected publications with publication year, journal, and citation details:

Lin, Y.-D., Chong, F.-C., Sung, S.-M., et al. “The calculation of complexity in normal and apoplectic EEG signals.” Journal of the Chinese Institute of Engineers, Vol. 21, No. 5, pp. 585-594, 1998. Cited by 56

Lin, Y.-D., Wu, C.-P., et al. “An active comb filter structure for harmonic interference removal.” Journal of the Chinese Institute of Engineers, Vol. 21, No. 5, pp. 605-610, 1998. Cited by 40

Lin, Y.-D., et al. “Preamplifier with a second-order high-pass filtering characteristic.” IEEE Transactions on Biomedical Engineering, Vol. 46, No. 5, pp. 609-612, 1999. Cited by 95

Lin, Y.-D., et al. “An adaptive power-line interference removal technique for biopotential measurement.” Biomedical Engineeringโ€”Applications, Basis and Communications, Vol. 12, No. 1, pp. 24-32, 2000. Cited by 23

Lin, Y.-D., et al. “Comments on โ€˜Line patterns in the mosaic electric properties of human skinโ€”A cross-correlation studyโ€™.” IEEE Transactions on Biomedical Engineering, Vol. 49, No. 3, pp. 274, 2002. Cited by 15

Use of acupressure to improve gastrointestinal motility in women after trans-abdominal hysterectomy

Aminoguanidine prevents the impairment of cardiac pumping mechanics in rats with streptozotocin and nicotinamideโ€induced type 2 diabetes

A novel approach for decomposition of biomedical signals in different applications based on data-adaptive Gaussian average filtering

Soroush Zare | Engineering | Best Researcher Award

Dr. Soroush Zare | Engineering | Best Researcher Award

Greadaute Research Assistant University of Virginia United States

๐Ÿ“š Soroush Zare is a dedicated Ph.D. Candidate in Mechanical and Aerospace Engineering at the University of Virginia. With expertise in robotics, soft exoskeletons, and Brain-Computer Interface (BCI) technologies, he specializes in designing advanced systems for rehabilitation and assistive applications. His research integrates AI-driven controls with cutting-edge mechanical design.

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Education

๐ŸŽ“ University of Virginia (2023โ€“Present)

  • Ph.D. in Mechanical and Aerospace Engineering (GPA: 4.0/4.0)
  • Focus: EEG-based motor imagery for wearable textile robotics under an NSF-funded project.

๐ŸŽ“ University of Tehran (2018โ€“2021)

  • M.S. in Mechanical Engineering (GPA: 3.9/4.0)
  • Thesis: Deep Reinforcement Learning Control of Suspended Cable-Driven Robots.

๐ŸŽ“ Shiraz University (2014โ€“2018)

  • B.S. in Mechanical Engineering (GPA: 3.6/4.0)
  • Thesis: Modeling and analysis of bladeless wind turbines.

Experience

๐Ÿ’ผ Research Assistant, University of Virginia (2023โ€“Present)

  • Developed wearable soft rehabilitation exoskeletons integrating EEG technologies.
  • Innovated reinforcement learning frameworks for intuitive robotic control.

๐Ÿ’ผ Research Assistant, York University (2022โ€“2023)

  • Led projects on robotic grasping using deep reinforcement learning.

๐Ÿ’ผ Research Assistant, University of Tehran (2018โ€“2022)

  • Advanced control techniques for Cable-Driven Parallel Robots (CDPRs).

Research Interests

๐Ÿ”ฌ Robotics, soft exoskeletons, Brain-Computer Interface (BCI) technologies, deep reinforcement learning, EEG-based motor imagery classification, and AI-driven assistive technologies.

Awards

๐Ÿ† Honors & Achievements

  • NSF Student Travel Award, IEEE/ACM CHASE (2024)
  • GRADESTAR Fellowship (2023, 2024)
  • Chairpersonโ€™s Fellowship (2023)
  • Ranked 2nd among solid design students at Shiraz University.

Publications Top Notes:ย 

๐Ÿ“„ Recent Publications

NeuroMotion: EEG-Based Motor Imagery Control of Wearable Exoskeleton (In preparation).

Kinematic analysis of an under-constrained cable-driven robot using neural networks

Wearable upper limb robotics for pervasive health: A review

Experimental study on the control of a suspended cable-driven parallel robot for object tracking purpose

Reconstructing 3-D Graphical Model Using an Under-Constrained Cable-Driven Parallel Robot

Understanding Human Motion Intention from Motor Imagery Eeg Based on Convolutional Neural Network

A Low-Cost Wearable Exoskeleton for Sitting and Standing Assistance

EEG Motor Imagery Classification using Integrated Transformer-CNN for Assistive Technology Control

MIMO Dynamic Control of a Suspended Underactuated Cable Robot Using Genetic Algorithm

 

 

Minmin Yang | Engineering | Best Researcher Award

Ms. Minmin Yang | Engineering | Best Researcher Award

master Northwestern Polytechnical University China

Minmin Yang is a dedicated researcher and aspiring architect specializing in environmental design and architectural theory. With a strong academic foundation and extensive hands-on experience in sustainable design, Minmin has contributed to innovations in green architecture and thermal environment optimization. She is passionate about creating sustainable and human-centered architectural solutions, particularly in regions with intensive environmental challenges.

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Education ๐ŸŽ“

  • Master of Engineering (Expected)
    Northwestern Polytechnical University (2021-2024)
    Major: Architectural Design and Theory | Weighted Average Score: 87.68/100
  • Bachelor of Arts
    Shanxi University (2017-2021)
    Major: Environmental Design (Landscape) | Weighted Average Score: 87.72/100

Professional Experience ๐Ÿข

  • Honing Studio (Assistant Designer)
    Designed waterscapes for the Yantai Yadong Seven Cultural Park project, recognized by the French GPDP International Design Award.
  • L&A Design (Team Leader)
    Analyzed site sunlight and wind impacts using Rhino and Grasshopper and contributed to innovative energy-saving display designs for plateau regions.

Research Interests ๐Ÿ”ฌ

  • Sustainable building design and energy efficiency
  • Thermal comfort and sunlight evaluation in residential and public spaces
  • Innovative methods for reducing carbon emissions in architecture

Awards & Honors ๐Ÿ†

  • Silver Award at the 2023 China International “Internet+” Competition for innovative cultural heritage preservation.
  • Golden Award at the 2022 China International “Internet+” Competition for Qingzhu Technology, focusing on dual carbon goals.
  • Bronze Prize at the 12th Challenge Cup China College Student Entrepreneurship Competition (2020).

Publications Top Notes: ๐Ÿ“š

“An Empirical Study of the Effects of Green Roof on the Outdoor and Indoor Thermal Environment of College Buildings in Winter”
Published in CEAC 2023, March 2023.
Cited by 5 Articles.

“A Case Study on the Design Model of Sunroom in New Rural Houses in West China from the Perspective of Carbon Emission”
Published in CEAC 2023, March 2023.
Cited by 3 Articles.

“Investigation on the Influence of Insolation on Winter Thermal Comfort of Outdoor Activity Space on Campus in a Cold Region of China”
Published in CEAC 2023, March 2023.
Cited by 7 Articles.

“Evaluation of PV Utilization Potential of University Building Roofs Based on PVsyst Software Simulation”
Published in CEAC 2023, March 2023.
Cited by 4 Articles.

“From Whole Building to Partial Sketches – Analysis of the Design Significance of Xiangshan Hotel”
Published in Urban Architecture, August 2019.
Cited by 12 Articles.

 

yang minmin | Engineering | Best Paper Award

Ms. yang minmin | Engineering | Best Paper Award

master Northwestern Polytechnical University China

Minmin Yang is an accomplished graduate student and researcher specializing in architectural design and environmental sustainability. With a keen interest in innovative design approaches and green architecture, she has made significant contributions to thermal environment studies, sustainable building practices, and renewable energy utilization.

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Education ๐ŸŽ“

  • Northwestern Polytechnical University (2021โ€“2024)
    Master of Engineering in Architectural Design and Theory

    • Weighted Average Score: 87.68/100 | Major Score: 87.18/100
  • Shanxi University (2017โ€“2021)
    Bachelor of Arts in Environmental Design (Landscape)

    • Weighted Average Score: 87.72/100 | Major Score: 88.77/100

Experience ๐Ÿ’ผ

  • Honing Studio (Assistant Designer)
    Led waterscape landscape designs for the Yantai Yadong Seven Cultural and Creative Park, earning a selection for the French GPDP International Design Award.
  • L&A Design (Team Leader)
    Utilized tools like Rhino and Grasshopper for sunlight and wind analysis, developed heat-collecting display windows, and calculated carbon reduction through photovoltaic energy.

Research Interests ๐Ÿ”

  • Green Roof Thermal Studies ๐ŸŒฑ
  • Sunlight Evaluation in Western Plateau Residential Areas โ˜€๏ธ
  • Thermal Comfort in Cold-Climate Campuses โ„๏ธ
  • Integration of Photovoltaic Systems in University Buildings โšก

Awards ๐Ÿ†

  • Silver Award at the 2023 9th China International “Internet+” Innovation Competition
  • Golden Award at the 2022 8th China International “Internet+” Innovation Competition
  • Bronze Prize in the 12th Challenge Cup China College Student Entrepreneurship Competition (2020)
  • Gold Prize in the Shanxi Province ‘Xingjin Challenge Cup’ College Competition (2020)

Publications Top Notes: ๐Ÿ“š

“An Empirical Study of the Effects of Green Roofs on the Thermal Environment”
2023 The 3rd International Civil Engineering and Architecture Conference (CEAC2023)

Authors: Minmin Yang, Yu Liu, Yiming Zhang, Yufei Zou, Jie Song, Ni Zhang

Cited by: 10 articles

“Design Model of Sunroom in Rural Houses for Carbon Emission Reduction”
2023 CEAC2023

Authors: Yiming Zhang, Yu Liu, Minmin Yang, et al.

Cited by: 8 articles

“Influence of Insolation on Winter Campus Comfort”
2023 CEAC2023

Authors: Jie Song, Yu Liu, Minmin Yang, et al.

Cited by: 5 articles

“Evaluation of PV Utilization Potential in University Roofs”
2023 CEAC2023

Authors: Yufei Zou, Yu Liu, Minmin Yang, et al.

Cited by: 7 articles

“Design Significance of Xiangshan Hotel Sketches”
Urban Architecture Journal (2019)

Author: Minmin Yang

Cited by: 15 articles

Jingyang Mao | Engineering | Best Researcher Award

Dr. Jingyang Mao | Engineering | Best Researcher Award

Lecturer Shanghai Institute of Technology China

๐Ÿง‘โ€๐Ÿซ Dr. Jingyang Mao is a dedicated lecturer at the School of Electrical and Electronic Engineering, Faculty of Intelligence Technology, Shanghai Institute of Technology. With a Ph.D. in Control Science and Engineering from the University of Shanghai for Science and Technology (2022), he specializes in cutting-edge research on networked control systems and cyber-physical systems. His academic journey also includes a visiting scholar tenure at Louisiana State University, USA (2019โ€“2021). Dr. Mao’s work bridges theoretical innovations with practical applications in modern engineering systems.

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Education

๐ŸŽ“ Ph.D. in Control Science and Engineering (2022)

  • University of Shanghai for Science and Technology, Shanghai, China

โœˆ๏ธ Visiting Scholar (2019โ€“2021)

  • Department of Electrical and Computer Engineering, Louisiana State University, USA

Experience

๐Ÿ‘จโ€๐Ÿ’ป Lecturer (2022โ€“Present)

  • School of Electrical and Electronic Engineering, Shanghai Institute of Technology
  • Focus: Cyber-physical systems, networked control, and adaptive filtering

Research Interests

๐Ÿ” Dr. Mao’s research interests lie in the fields of:

  • Cyber-physical systems ๐ŸŒ
  • Multi-rate systems โฑ๏ธ
  • Joint recursive filtering ๐Ÿ”„
  • Unknown input estimation โ“
  • Adaptive event-triggered mechanisms โš™๏ธ

Awards

๐Ÿ† Award Nomination: Best Researcher Award
Recognized for groundbreaking contributions to the theory and application of cyber-physical systems.

Publications Top Notes:

๐Ÿ“„ “Recursive filtering of multi-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms”

Eventโ€based reducedโ€order Hโˆž$H_{\infty }$ estimation for switched complex networks based on Tโ€S fuzzy model

Recursive filtering of multi-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms

Event-Based Distributed Adaptive Kalman Filtering With Unknown Covariance of Process Noises

ABDUL SAMI | Engineering | Young Scientist Award

Mr. ABDUL SAMI | Engineering | Young Scientist Award

Lecturer Numl University Hyderabad Pakistan

Engr. Abdul Sami Shaikh is a seasoned software engineering professional with a diverse portfolio in academia, research, and freelancing. His career is marked by significant contributions to IT education, cutting-edge research, and innovative development practices. Based in Hyderabad, Sindh, Abdul Sami is driven by a passion for leveraging technology to address real-world challenges and enhance learning.

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Education ๐ŸŽ“

Abdul Sami Shaikh has a strong academic foundation with a Master of Engineering in Information and Communication Engineering from Harbin Engineering University, China (2013-2016), achieving an impressive 3.77 CGPA. His undergraduate degree in Computer System Engineering from Mehran University of Engineering and Technology, Jamshoro (2005-2009), laid the groundwork for his technical expertise. Earlier, he pursued Pre-Engineering at Govt. Boys Degree College, Qasimabad, Hyderabad, and completed his schooling at the Model School of Sindh University.

Experience ๐Ÿ’ผ

Abdul Sami has an extensive teaching and research background, having served as a lecturer at Isra University, National University of Modern Languages (NUML), and other prestigious institutions. His professional journey includes roles such as Research Associate at Mehran UET, Program Coordinator for the National Freelance Training Program, and editorial assistant for the Mehran UET Research Journal. He also gained valuable industrial experience through internships with organizations like Sui Southern Gas Company and Microsoft.

Research Interests ๐Ÿ”ฌ

His research focuses on machine learning, data visualization, deep learning, and their applications in healthcare and cybersecurity. He has explored innovative solutions in image analysis, mobile app automation for Industry 4.0, and advanced threat detection systems. Abdul Sami also delves into challenges in spatial crowdsourcing and IoT-based systems.

Awards and Recognitions ๐Ÿ†

While Abdul Sami has not listed specific awards, his academic and professional milestones, coupled with his impactful publications, position him as a strong candidate for recognition in research and innovation.

Publications Top Notes: ๐Ÿ“š

Acoustic Propagation and Transmission Loss Analysis in Shallow Water

Automated Classification of Pneumonia from Chest X-Ray Images using EfficientNet-B0

 

Geleta Fikadu | Engineering | Best Researcher Award

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.

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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

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

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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