ckim's picture
Charles
Kim

Contact

Office: 
3014 Downing Hall
Phone: 
(202) 806-4821
Email: 
ckim@howard.edu

Faculty Details

Rank: 
Professor
Education: 

Ph. D. Electrical Engineering, Texas A&M University(1989)

Speciality: 

1. Fault Anticipation &Predictive Location; Physics of Failure
2. Cellular Automata (www.mwftr.com/CA.html)
3. Entropy Minimax in Decision Making and Machine/Statistical Learning
4. Embedded Systems and System Safety and Security
5. Computer Control System Security and Resilience

Research: 

1. Predictive Location of Incipient/Transient Underground Cable Faults
2. Inductive Machine Reasoning with Entropy Minimax (http://www.mwftr.com/entropy.html)
3. Vertically Integrated Projects (VIP) Program for STEM Education (www.mwftr.com/VIPatHOWARD.html)
4. Renewable Source Micro-Grid (http://www.mwftr.com/microgrid.html)
5. Embedded- and Computer Control System Safety and Resilience

Subjects Taught: 

Microcomputer Design(www.mwftr.com/UC.html)
Embedded Systems Design Lab (www.mwftr.com/emblab.html)
Computer Bus and SoC Interfacing
Computers and Nuclear Energy (http://www.mwftr.com/CNE.html)
Computers and Safety-Critical Systems (www.mwftr.com/CS2.html)
Embedded Computing (http://www.mwftr.com/emblab.html)
Senior Design (www.mwftr.com/SD.html)
Fundamentals of Energy Systems (http://www.mwftr.com/Energy.html)
Fault Detection and Location in Distribution Systems (www.mwftr.com/tkk10.html)
Renewable Micro-Grid System Design and Optimal Configuration (www.mwftr.com/microgrid.html)

Detailed Information

About Me: 

Personal webpage: www.mwftr.com
CV webpage: www.mwftr.com/charlesk.html

News

Electrical Engineering Lecturer Fadel Lashhab Receives 2020 IEEE IEMTRONICS Best Paper Award

Fri, October 23, 2020

Electrical Engineering Lecturer Fadel Lashhab, Ph.D. recently received the prestigious Institute of Electrical and Electronics Engineers (IEEE), International IoT, Electronics and Mechatronics (IEMTRONICS) Best Paper Award in the Mechatronics track for his paper titled “Estimation of Dynamic Laplacian Eigenvalues in Dynamic Consensus Networks”. Read More >>

Professor Danda Rawat to Launch HU Center of Excellence with $7.5M DoD Award

Mon, October 19, 2020

Howard University’s College of Engineering and Architecture has received a five-year $7.5 million award from the U.S. Department of Defense (DOD) to create a Center of Excellence in Artificial Intelligence and Machine Learning, known as CoE-AIML. The project is led by Danda B. Rawat, Ph.D., professor of Computer Science and director of Howard’s Data Science & Cybersecurity Center (DSC2).Read More >>

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