معرفی
Jan-Jo Chen is a Professor in the Department of Mathematics & Computer Science at Chicago State University, part of the College of Arts & Sciences. His research spans computer science, data analytics, and quantum information, with a strong focus on machine learning, deep learning, and high-performance computing.
His research interests include machine learning, deep learning, quantum computing, supercomputing, concurrent and parallel processing, database security, and educational technology. He has developed models for predictive analytics in wealth distribution, facial recognition, curriculum recommendation, and forest cover classification, often leveraging decision trees and neural networks.
The recent publications highlight a consistent trend in applying machine learning to diverse domains such as economics, education, and environmental science. His work increasingly emphasizes quantum computing education and interdisciplinary convergence, particularly through NSF-funded initiatives. Topics like hyperparameter tuning, multivariate analysis, and state-dependent modeling reflect a deep engagement with both theoretical and applied aspects of data science.
Scientific Awards: No specific awards are listed in the provided text.
Dr. Chen has been actively involved in securing and managing research grants, particularly from the National Science Foundation (NSF). He has served as Co-Principal Investigator on projects like PRELS and ExpandQISE NxGenDQ, and as Senior Personnel on the NSF Engines proposal. He also led the CSER Coordinator role at Chicago State University, supporting STEM education and research. While student advisees are not named, his involvement in undergraduate research and curriculum development suggests active mentorship.
He is associated with the Center for STEM Education & Research (CSER) at Chicago State University and contributes to national initiatives in quantum education (QuSTEAM, ExpandQISE) and regional innovation (NSF Engines). These collaborations indicate leadership in convergent STEM education and workforce development.
