π Dr. Zhe Zhang, an Assistant Professor in the Department of Geography at Texas A&M University, is a distinguished scholar with a robust academic background. In 2016, he earned his Doctor of Science with distinction in Geoinformatics from Aalto University, Finland, minoring in applied mathematics. His journey includes a Master’s in Geomatics and a Bachelor’s in Environmental Engineering from top Finnish institutions. Since 2019, Dr. Zhang has been a dedicated Assistant Professor, contributing significantly to the College of Arts and Sciences. His interdisciplinary expertise extends to serving as Affiliate Faculty in Electrical and Computer Engineering and as a Faculty Fellow in the Texas A&M Hazard Reduction & Recovery Center. ππ¬
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Education:
π Dr. Zhe Zhang, a distinguished academic, holds a Doctor of Science (with distinction) in Geoinformatics, with a minor in applied mathematics, awarded in 2016 by the Department of Built Environment at Aalto University, Espoo, Finland. π° His academic journey began in 2009 with a Master of Science (Technology) in Geomatics from the Department of Surveying at Helsinki University of Technology. πΊοΈ Prior to his advanced degrees, Dr. Zhang earned a Bachelor of Environmental Engineering in 2005 from Tampere University of Applied Sciences, Tampere, Finland, laying the foundation for his environmental expertise. π His diverse educational background reflects a commitment to interdisciplinary knowledge in geography, technology, and environmental engineering.
Experience:
π Dr. Zhe Zhang is a versatile academic leader currently serving as an Assistant Professor (Tenure Track) in the Geography Department of the College of Arts and Sciences at Texas A&M University since September 2019. π His impactful roles extend to being an Affiliate Faculty in Electrical and Computer Engineering, a Faculty Fellow in the Texas A&M Hazard Reduction & Recovery Center, and a Faculty Fellow in the Institute of Data Science, all ongoing since September 2019. ποΈ Dr. Zhang’s journey includes a Visiting Assistant Professor position in Geography at the College of Geosciences, Texas A&M University, and significant contributions as a Postdoctoral Research Associate at the University of Illinois Urbana-Champaign. π Outside academia, he chairs the American Association of Geographers’ Cyberinfrastructure Specialty Group and leads the CyberGIS and Decision Support Systems Research Initiative for the University Consortium for Geographic Information Science (UCGIS). As the CyberGIS Studio Coordinator at the National Center for Supercomputing Applications, his work has left a lasting impact. ππ
Research Interest:
π§ Dr. Zhe Zhang is at the forefront of pioneering research, specializing in intelligent decision support systems, big data, CyberGIS, and spatiotemporal data modeling. His expertise lies in seamlessly blending the realms of data science and geographic information systems to harness the power of big data. π His innovative work delves into the intricacies of intelligent decision-making processes, utilizing cutting-edge technologies. Dr. Zhang’s focus on spatiotemporal data modeling demonstrates a commitment to unraveling the complexities of dynamic spatial information. πΊοΈ With a flair for fuzzy logic applications, he contributes significantly to advancing knowledge in these critical domains, shaping the future of decision support systems with intelligence and precision. ππ
Publication Top Note:
- MetaQA: Enhancing human-centered data search using Generative Pre-trained Transformer (GPT) language model and artificial intelligence
- π¨βπΌ Li, D.; Zhang, Z.
- π
2023
- π 0 Citations
- Embracing geospatial analytical technologies in tourism studies
- π¨βπΌ Yang, Y.; Chen, X.; Gao, S.; … Zhang, Z.; Zhao, B.
- π
2023
- π 1 Citation π
- Impacts of climate change on future hurricane induced rainfall and flooding in a coastal watershed: A case study on Hurricane Harvey
- π¨βπΌ Li, X.; Fu, D.; Nielsen-Gammon, J.; … Zhang, Z.; Gao, H.
- π
2023
- π 3 Citations π
- Analyzing spatial variations of heart disease and type-2 diabetes: A multi-scale geographically weighted regression approach
- π¨βπΌ Cui, W.; Hu, N.; Zhang, S.; … GΓΌneralp, B.; Zhang, Z.
- π
2022
- π 1 Citation πΊοΈ
- COVID-19 impacts on mobility, environment, and health of active transportation users
- π¨βπΌ Li, X.; Farrukh, M.; Lee, C.; … Zhang, Z.; Dadashova, B.
- π
2022
- π 13 Citations πΆββοΈπ
- Human-centered flood mapping and intelligent routing through augmenting flood gauge data with crowdsourced street photos
- π¨βπΌ Alizadeh, B.; Li, D.; Hillin, J.; … Zhang, Z.; Behzadan, A.H.
- π
2022
- π 9 Citations πΊοΈπ
- Do underserved and socially vulnerable communities observe more crashes? A spatial examination of social vulnerability and crash risks in Texas
- π¨βπΌ Li, X.; Yu, S.; Huang, X.; … Cui, W.; Zhang, Z.
- π
2022
- π 4 Citations π
- Exploring the spatial disparity of home-dwelling time patterns in the USA during the COVID-19 pandemic via Bayesian inference
- π¨βπΌ Huang, X.; Xu, Y.; Liu, R.; … Zhao, B.; Li, Z.
- π
2022
- π 7 Citations π‘π
- CyberGIS and Geospatial Data Science for Advancing Geomorphology
- π¨βπΌ Wang, S.; Bishop, M.P.; Zhang, Z.; Young, B.W.; Xu, Z.
- π
2022
- π 0 Citations ππΊοΈ
- Modeling human activity dynamics: an object-class oriented spaceβtime composite model based on social media and urban infrastructure data
- π¨βπΌ Zhang, Z.; Yin, D.; Virrantaus, K.; Ye, X.; Wang, S.
- π
2021
- π 8 Citations π€ποΈ