好色先生

Antonia Boadi, Ph.D.
aboadi@csudh.edu

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Dr. Antonia Boadi is a member of the CSUDH Physics Department where she serves as Director of the CSUDH node of the CSU Intelligence Community Center of Academic Excellence. The Center's projects explore vulnerabilities in the intelligence, instrumentation, processes and policies that protect the United States from terrorist attacks. Dr. Boadi has served as Principal Investigator on federal grants that apply systems science to the modeling and analysis of homeland defense and security threats, especially those related to nuclear counter-terrorism and clandestine communications. She directs the Defense and Homeland Security Research Team.

Dr. Boadi has more than 30 years of industry experience as both a staff engineer as well as a consulting Subject Matter Expert to projects involving defense and homeland security applications of systems engineering. Her professional experience includes the Air Force Space and Missile Station, Logicon, Inc. (subsumed by Northrup Grumman), the Aerospace Corporation, NASA Glenn Research Center and The RAND Corporation.

Dr. Boadi has served as Principal Investigator on grants from Verizon, the U.S. Department of Education, the US Department of Homeland Security, the U.S. Nuclear Regulatory Commission and the Office of the Director of National Intelligence.

Dr. Boadi is a graduate of CSUDH, having completed a double major in Mathematics and Computer Science. Her graduate degrees include a Master of Science in Computer Engineering, a Master of Science in Electrical Engineering and a Doctor of Philosophy in Electrical Engineering, all from the University of Southern California. Dr. Boadi has also completed a doctorate in Policy, Planning and Development with an emphasis in Homeland Security and Counter-Terrorism; this degree was supported by a Career Development Grant from the Department of Homeland Security's Center for Risk and Economic Analysis of Terrorist Events (CREATE).

Maryam Maleki, Ph.D.
mmaleki@csudh.edu
(310) 243-3104

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Dr. Maryam Maleki holds a B.S. in Electrical Engineering and an M.S. in Systems Engineering. She earned her Ph.D. in Systems Engineering from the University of Arkansas at Little Rock. Following her doctoral studies, she served as a Visiting Assistant Professor in the Business School at 好色先生, Fresno, before joining 好色先生, Dominguez Hills (CSUDH).

Dr. Maleki brings nine years of professional experience as a Quality Control and Quality Assurance expert, having held managerial roles in the car parts manufacturing industry. This experience has provided her with a strong foundation in quality management, process optimization, and systems improvement.

She is currently an Assistant Professor in the Department of Physics at CSUDH, where she also teaches in the Systems Engineering program. Her research lies at the intersection of systems engineering, information systems, and interdisciplinary approaches to human behavior. Specifically, her work focuses on developing mathematical models, leveraging data visualization, and applying statistical and analytical tools to study behavioral dynamics across diverse contexts, with a particular emphasis on the propagation of information on social media platforms.

Chu-Yi Wang, Ph.D.
chwang@csudh.edu
(310) 243-2717

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Dr. Chu-Yi Wang鈥檚 academic journey began at National Taiwan University, earning a B.S. in Bio-Industrial Mechatronics Engineering and an M.S. in Applied Mechanics. She then advanced to a Ph.D. in Mechanical Engineering from the University of Southern California.

Post academia, she contributed as a Postdoctoral Research Associate at USC鈥檚 Viterbi School of Engineering, where she also managed the M.S. in Product Development Engineering Program. In 2021, she joined the Lundquist Institute for Biomedical Innovation as a programmer analyst.

Currently, Dr. Wang lecturer courses at USC鈥檚 Daniel J. Epstein Department of Industrial Systems Engineering and at CSUDH's M.S. in Systems Engineering Program. Her research is pioneering in complex system improvement, AI-aided product development, and biomedical data mining.