معرفی
Shu-Ching Chen is a Professor and Executive Director of the Data Science and Analytics Innovation Center (dSAIC) at the University of Missouri-Kansas City (UMKC), School of Science and Engineering. He holds a Ph.D. in Electrical and Computer Engineering from Purdue University and has extensive experience in data science, multimedia big data, disaster information management, AI/ML, and AR/VR. He leads a multi-university research center focused on data analytics, AI, and societal impact.
Research Interests: His research spans data science, multimedia big data, disaster informatics, AI/ML, and spatial computing. He has pioneered work in multimodal data fusion, multimedia retrieval, and intelligent systems for disaster response and climate modeling. His recent work emphasizes AI-driven solutions for public health, transportation, and environmental resilience.
The 15 most recent publications reflect a strong trend in AI for societal challenges, including pandemic response, disaster management, climate modeling, and transportation analytics. His work integrates deep learning, graph neural networks, remote sensing, and multimodal data fusion, often applied to real-world problems in public safety, healthcare, and infrastructure. There is a clear emphasis on practical software systems (e.g., hurricane loss modeling) and interdisciplinary collaboration.
Scientific Honors:
- IEEE Fellow (2016), AAAS Fellow (2016), AIMBE Fellow (2025), AAIA Fellow (2021), SIRI Fellow (2009)
- ACM Distinguished Scientist (2011)
- Best Paper Awards (2006, 2016, 2022)
- IEEE TCMC Impact Award (2024), Service Award (2019)
- FIU Top Scholar (2011, 2012), Eminent Scholar (2014–2019)
Research Leadership and Grants: Dr. Chen has secured major funding from NSF, NIH, DHS, DOE, NOAA, DoD, and industry partners (Microsoft, IBM). He is PI of a U.S. Department of Education Center of Excellence in AI-Empowered Spatial Computing and leads the dSAIC. His grants focus on AI for disaster management, pandemic response, transportation, and secure computing. He actively mentors students and collaborates across institutions.
Labs and Centers: He leads the Data Science and Analytics Innovation Center (dSAIC), a University of Missouri System-wide center. He is also PI of the AI-Empowered Spatial Computing Center of Excellence funded by the U.S. Department of Education.
