Jiasheng Ni | Intelligent perception technology | Best Researcher Award

Prof. Jiasheng Ni | Intelligent perception technology | Best Researcher Award

Prof. Jiasheng Ni, the Faculty of Optoelectronics, Qilu University of Technology, China

Prof. Jiasheng Ni, a renowned expert in optoelectronics, holds a Ph.D. and serves as Executive Deputy Director at Qilu University of Technology. With a prolific career spanning prestigious roles globally, including Senior Visiting Scholar in Australia, Ni’s research focuses on intelligent detection, laser, and fiber optic sensing technologies. With over a dozen projects led and numerous publications, Ni’s contributions in optics earned him awards like Shandong Provincial Science and Technology Progress Award. His expertise encompasses areas like intelligent optoelectronic detection, high-performance lasers, and secure IoT. Ni’s journey reflects dedication and excellence in advancing optical sciences. πŸŒŸπŸ”¬πŸ‘¨β€πŸ’Ό

 

Publication Profile

Education

Ni’s academic journey includes enriching experiences at prestigious institutions worldwide, including the University of New South Wales and Tianjin University, culminating in a Ph.D. in Optical Engineering. His academic pursuits are complemented by hands-on industry experience, reflecting a holistic approach to knowledge dissemination and application. Ni’s educational background underscores his dedication to bridging the gap between academia and industry, shaping the next generation of optoelectronic innovators. πŸŒπŸ”

 

Research Focus

Prof. Jiasheng Ni’s research focus encompasses a wide array of cutting-edge topics in the field of optoelectronics. He specializes in intelligent optoelectronic detection technology, high-performance lasers, and fiber-optic sensing innovations, including secure IoT applications. Ni’s expertise extends to areas such as fiber-optic well logging, seismic detectors, marine sensing, and perimeter security technology. With a keen interest in advancing optical sciences, his contributions have led to significant breakthroughs in distributed fiber optic acoustic sensing systems and high-resolution temperature sensors. Ni’s dedication to pioneering research is reflected in his extensive publication record and leadership roles in professional societies. πŸŒπŸ”¬πŸš€

 

Publication Top Notes

  1. “Distributed fiber optic acoustic sensing system intrusion full event recognition based on 1-D MFEWnet” by Dong, L., Zhao, W., Huang, S., Jia, Z., Ni, J. (2024) 🌐
    • Cited by: 0
  2. “High Spatial-Resolved Ο†-OTDR System Based on Differential Pulse Width Sequence Technique” by Wang, M., Qu, J., Qu, S., Shang, Y., Ni, J. (2024) 🌐
    • Cited by: 0
  3. “Study on the mechanism of fiber-optic hot-wire sensing based on DFB-FL thermally induced chirp effect” by Zhuang, Y., Zhang, X., Hong, Y., Ni, J., Song, Z. (2024) 🌐
    • Cited by: 0
  4. Research progress of crystalline Raman yellow lasers” by Jiang, P., Ding, X., Guo, J., Ni, J., Yao, J. (2024) 🌐
    • Cited by: 1
  5. An intelligent crash recognition method based on 1DResNet-SVM with distributed vibration sensors” by Yi, J., Shang, Y., Wang, C., Zhao, Y., Ni, J. (2023) 🌐
    • Cited by: 3
  6. Intrusive and non-intrusive microflow measurement based on distributed optical fiber acoustic sensing” by Du, Y., Shang, Y., Wang, C., Zhao, Y., Ni, J. (2023) 🌐
    • Cited by: 1

Zhe Zhang | Computer Science | Best Researcher Award

Assist Prof Dr. Zhe Zhang: Computer Science

🌐 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. πŸŒπŸ”¬

Profile:

Scopus

Orcid

Education:

🌍 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. 🏰 His academic journey began in 2009 with a Master of Science (Technology) in Geomatics from the Department of Surveying at Helsinki University of Technology. πŸ—ΊοΈ 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. πŸŽ“ His diverse educational background reflects a commitment to interdisciplinary knowledge in geography, technology, and environmental engineering.

Experience:

πŸŽ“ 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. 🌐 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. πŸ›οΈ 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. 🌐 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. πŸš€πŸŒ

Research Interest:

🧠 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. 🌐 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. πŸ—ΊοΈ 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. πŸš€πŸ”

Publication Top Note:
  • MetaQA: Enhancing human-centered data search using Generative Pre-trained Transformer (GPT) language model and artificial intelligence
    • πŸ‘¨β€πŸ’Ό Li, D.; Zhang, Z.
    • πŸ“… 2023
    • πŸ“š 0 Citations
  • Embracing geospatial analytical technologies in tourism studies
    • πŸ‘¨β€πŸ’Ό Yang, Y.; Chen, X.; Gao, S.; … Zhang, Z.; Zhao, B.
    • πŸ“… 2023
    • πŸ“š 1 Citation 🌐
  • Impacts of climate change on future hurricane induced rainfall and flooding in a coastal watershed: A case study on Hurricane Harvey
    • πŸ‘¨β€πŸ’Ό Li, X.; Fu, D.; Nielsen-Gammon, J.; … Zhang, Z.; Gao, H.
    • πŸ“… 2023
    • πŸ“š 3 Citations 🌊
  • Analyzing spatial variations of heart disease and type-2 diabetes: A multi-scale geographically weighted regression approach
    • πŸ‘¨β€πŸ’Ό Cui, W.; Hu, N.; Zhang, S.; … GΓΌneralp, B.; Zhang, Z.
    • πŸ“… 2022
    • πŸ“š 1 Citation πŸ—ΊοΈ
  • COVID-19 impacts on mobility, environment, and health of active transportation users
    • πŸ‘¨β€πŸ’Ό Li, X.; Farrukh, M.; Lee, C.; … Zhang, Z.; Dadashova, B.
    • πŸ“… 2022
    • πŸ“š 13 Citations πŸšΆβ€β™€οΈπŸŒ
  • Human-centered flood mapping and intelligent routing through augmenting flood gauge data with crowdsourced street photos
    • πŸ‘¨β€πŸ’Ό Alizadeh, B.; Li, D.; Hillin, J.; … Zhang, Z.; Behzadan, A.H.
    • πŸ“… 2022
    • πŸ“š 9 Citations πŸ—ΊοΈπŸŒŠ
  • Do underserved and socially vulnerable communities observe more crashes? A spatial examination of social vulnerability and crash risks in Texas
    • πŸ‘¨β€πŸ’Ό Li, X.; Yu, S.; Huang, X.; … Cui, W.; Zhang, Z.
    • πŸ“… 2022
    • πŸ“š 4 Citations πŸš—
  • Exploring the spatial disparity of home-dwelling time patterns in the USA during the COVID-19 pandemic via Bayesian inference
    • πŸ‘¨β€πŸ’Ό Huang, X.; Xu, Y.; Liu, R.; … Zhao, B.; Li, Z.
    • πŸ“… 2022
    • πŸ“š 7 Citations 🏑🌐
  • CyberGIS and Geospatial Data Science for Advancing Geomorphology
    • πŸ‘¨β€πŸ’Ό Wang, S.; Bishop, M.P.; Zhang, Z.; Young, B.W.; Xu, Z.
    • πŸ“… 2022
    • πŸ“š 0 Citations πŸŒπŸ—ΊοΈ
  • Modeling human activity dynamics: an object-class oriented space–time composite model based on social media and urban infrastructure data
    • πŸ‘¨β€πŸ’Ό Zhang, Z.; Yin, D.; Virrantaus, K.; Ye, X.; Wang, S.
    • πŸ“… 2021
    • πŸ“š 8 Citations πŸ€–πŸ™οΈ