Prof. Dr. Xueliang Wang – Sensors – Best Researcher Award

Prof. Dr. Xueliang Wang – Sensors – Best Researcher Award

Heze University, China

Author Profiles

Scopus

Orcid

🎓 Academic Background

Dr. Xueliang Wang has a strong academic foundation in Applied Chemistry, Electroanalytical Chemistry, and Bioinorganic Chemistry. He obtained his Ph.D. in Applied Chemistry from Qingdao University of Science and Technology in 2009, where he specialized in electroanalytical and bioinorganic chemistry. Prior to this, he earned his Master’s degree in Analytical Chemistry from the same university in 2004, focusing on electroanalysis. His academic journey began with a Bachelor’s degree in Chemistry from Qufu Normal University in 2001.

🏛️ Professional Experience

Dr. Wang has had an illustrious career in academia and research, making significant contributions in the field of electrochemical sensing and environmental analysis. Since 2004, he has been a Professor at the College of Chemistry and Chemical Engineering, Heze University, China, where he has led various research initiatives. To expand his expertise and collaborate internationally, Dr. Wang worked as a Visiting Scholar at California State University, Los Angeles (CSU, L.A.) from 2015 to 2016. Later, in 2018–2019, he further broadened his research exposure by serving as a Visiting Scholar at Boston College, USA.

🔬 Research Projects and Grants

Dr. Wang has been actively involved in cutting-edge research projects, securing prestigious grants from national and provincial funding agencies. His research primarily focuses on the development of advanced electrochemical biosensors, environmental pollutant detection, and nanotechnology-based sensing applications. Some of his notable projects include:

📡 Electrochemical Biosensors for Plant Extracts

As the Principal Investigator (P.I.), Dr. Wang led a research project funded by the National Science Foundation of China (Project No. 21105023) to develop novel electrochemical DNA biosensors for studying the antioxidant activity of plant extracts.

🌍 Environmental Pollutant Detection Using Nanomaterials

Dr. Wang’s project, funded by the Shandong Province Science Foundation (Project No. ZR2017MB062), focused on utilizing two-dimensional materials and ionic liquids to fabricate highly sensitive and selective electrochemical sensors for detecting environmental gas pollutants.

🧬 DNA Damage Biosensors for Genotoxicity Studies

Recognized as an Excellent Youth Scientist in Shandong Province, Dr. Wang received funding (Project No. BS2013HZ027) to develop novel electrochemical DNA damage biosensors for assessing the genotoxicity of environmental pollutants.

🌫️ In-Situ Electrochemical Sensors for Air Pollutants

With support from the China Postdoctoral Science Foundation (Project No. 2015M572039), Dr. Wang pioneered the development of portable electrochemical sensors for real-time detection of air pollutants in various environments.

🌱 Biosensors for Genetically Modified Plants

As a Main Research Member, Dr. Wang contributed to multiple National Science Foundation of China projects (Project Nos. 20375020, 20975057, and 20805025) aimed at constructing highly sensitive electrochemical gene sensors for the detection of genetically modified plant products. His work involved nanocomposite materials and loop-mediated isothermal amplification (LAMP) technology to enhance detection sensitivity.

🏆 Impact and Legacy

Dr. Xueliang Wang’s groundbreaking research in electrochemical biosensors and environmental monitoring has significantly contributed to advancements in analytical chemistry. His work bridges the gap between electrochemical technology and biological applications, opening new frontiers in biosensor development, environmental safety, and genetic research. As a dedicated professor and researcher, he continues to inspire the next generation of scientists while shaping the future of analytical and bioinorganic chemistry.

Notable Publications📝


📝Preparation of Fe(OH)₃/Ni₃S₂/NiS heterostructure on an iron nickel foam as long-life trifunctional electrocatalysts for seawater and urea splitting

Authors: H. Li, X. Gao, S. Zheng, J. Bai, X. Wang (Xueliang)

Journal: Journal of Alloys and Compounds

Year: 2025


📝Research Progress on the Field-Effect Transistors Sensors for CO₂ Gas Based on 1-D or 2-D Nanomaterials: A Review

Authors: C. Gao, Z. Wang, C. Wang, T. Wang, X. Wang (Xueliang)

Journal: IEEE Sensors Journal

Year: 2025


📝Enhanced photodegradation of ceftazidime by BiOBr(110)/BiOCl(110) composite: Its synthesis, mechanism, and degradation pathways

Authors: Y. Sun, X. Wang (Xueliang), H.L. Lee

Journal: Journal of Environmental Chemical Engineering

Year: 2024


📝A Lower Working Potential and Real-Time H₂S Sensor Based on Nano-CuFe₂O₄ and Lotus Leaf Derived Carbon Material Composite

Authors: N. Zou, X. Li, W. Xu, J. Zhang, X. Wang (Xueliang)

Journal: Journal of the Electrochemical Society

Year: 2024


📝Synthesis of FeNi-based heterostructure on a nickel foam at room temperature for efficient catalyzing hydrogen evolution reaction

Authors: H. Li, Z. Wang, X. Wang (Xueliang), T. Wang

Journal: Materials Letters

Year: 2024

Ms. Yingjuan Tang, Sensors and Biosensors, Best Researcher Award

Ms. Yingjuan Tang, Sensors and Biosensors, Best Researcher Award

Ms. Yingjuan Tang, Beijing Institute of Technology, China

Professional Profiles

Scopus

Orcid 

Google Scholar

🌟 Summary

Ms. Yingjuan Tang is a dedicated Ph.D. candidate at Beijing Institute of Technology, specializing in environment perception and trajectory prediction for autonomous vehicles. With a strong background in computer vision and deep learning, she has contributed extensively to the field through publications in prestigious journals. Yingjuan holds a Master’s degree in Artificial Intelligence from King’s College London and a Bachelor’s degree in Computer Science and Technology from Zhengzhou University.

🎓 Education

Doctorate in Environment Perception and Trajectory Prediction
Beijing Institute of Technology
Master’s in Artificial Intelligence
King’s College London
Bachelor’s in Computer Science and Technology
Zhengzhou University

💼Professional Experience

Ph.D. Researcher
Beijing Institute of Technology
Focused on environment perception and trajectory prediction for self-driving commercial vehicles. Published multiple papers in leading journals on 3D object detection and trajectory prediction.

🔬 Research Interests

Computer Vision: Exploring advanced techniques for image recognition and processing.

Deep Learning: Applying neural networks to enhance autonomous vehicle perception and decision-making.

Autonomous Vehicles: Developing models for trajectory prediction and environment sensing.

🏆 Honors & Awards

Outstanding Graduate (Henan Province)
National Motivational Scholarship (2016-2017 & 2017-2018)
Second Prize in ACM Program-Designing Competition

Publications Top Noted📚

Towards efficient multi-modal 3D object detection: Homogeneous sparse fuse network

Authors: Tang, Y., He, H., Wang, Y., Wu, J.

Journal: Expert Systems with Applications

Year: 2024

Using a Diffusion Model for Pedestrian Trajectory Prediction in Semi-Open Autonomous Driving Environments

Authors: Tang, Y., He, H., Wang, Y., Wu, Y.

Journal: IEEE Sensors Journal

Year: 2024

Hierarchical vector transformer vehicle trajectories prediction with diffusion convolutional neural networks

Authors: Tang, Y., He, H., Wang, Y.

Journal: Neurocomputing

Year: 2024

Remote Sensing Building Change Detection With Global High-Frequency Cues Guidance and Result-Aware Alignment

Authors: Mao, Z., Luo, Z., Tang, Y.

Journal: IEEE Geoscience and Remote Sensing Letters

Year: 2024

Multi-modality 3D object detection in autonomous driving: A review

Authors: Tang, Y., He, H., Wang, Y., Mao, Z., Wang, H.

Journal: Neurocomputing

Year: 2023

Cooperative energy management and eco-driving of plug-in hybrid electric vehicle via multi-agent reinforcement learning

Authors: Wang, Y., Wu, Y., Tang, Y., Li, Q., He, H.

Journal: Applied Energy

Year: 2023