معرفی
Maggie Cheng is a Professor of Applied Mathematics and Director of the Center for Interdisciplinary Scientific Computation at Illinois Institute of Technology (IIT). She holds a Ph.D. from the University of Minnesota at Twin Cities. Her research focuses on interdisciplinary applications of data science and network science, including machine learning for power grids, cybersecurity, and complex systems analysis. She leads NSF-funded projects on real-time data analytics for energy systems and human dynamics inference from data streams.
Key areas of expertise include machine learning, complex networks analysis, applied statistics, optimization algorithms, and wireless sensor networks. Her work bridges theoretical foundations with practical applications in power systems, communications, and biomedical informatics. She serves as Associate Editor for Frontiers in Big Data, IEEE Journal of Biomedical and Health Informatics, and International Journal of Sensor Networks.
Current sponsored research includes projects on energy cyber-physical systems, network security analysis, and big data inference methodologies. She actively mentors Ph.D. students in applied mathematics and interdisciplinary computational science, emphasizing novel machine learning approaches for critical infrastructure resilience.
