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Michael Marefat (S'89–M'89–SM'97) received the B.S. degree in electrical and computer engineering and the B.A. degree in mathematical sciences from Rice University, Houston, TX, in 1986, and the M.S. and Ph.D. degrees in electrical engineering from Purdue University, West Lafayette, IN, in 1988 and 1991, respectively.,He is the Director of the Knowledge System Engineering Laboratory and a Faculty Member at the Department of Electrical and Computer Engineering, University of Arizona, Tucson. He has been involved in research in the areas of knowledge-based systems, visualization, computer graphics, machine vision, and CAD for the last 20 years. He is the author or coauthor of about 100 refereed research articles. His research has been supported by the National Science Foundation and by National Aeronautics and Space Administration. His previous experience includes Schlumberger Laboratory for Computer Science, Purdue Engineering Research Center for Intelligent Manufacturing Systems, and Baylor Digital Imaging Laboratory.,Dr. Marefat is a member of ACM and AAAI.Show Less
VOSviewer
Courses
- EEEElements of Electrical Engineering
- OOSDObject-Oriented Software Design
- CGCADComputer Graphics and CAD
- KSEKnowledge-System Engineering
- PAIPrinciples of Artificial Intelligence
- CPEAComputer Programming for Engineering Applications
Grants
- REU Site: Undergraduate Research Experiences in Long Range Communications with Ham Radios, Cool Algorithms, and Innovative Antennas.
Principal Investigator (PI)
2019
$325.0K
Active
Technologies / Patents
Publications (24)
Recent
- An Architecture for a Learning Agent with Multiple Goals in Risky Environments
2020
- Machine Learning Based MIMO Equalizer for High Frequency (HF) Communications
2020
- Serverless Data Parallelization for Training and Retraining of Deep Learning Architecture in Patient-Specific Arrhythmia Detection
2019
- Fully cognitive transceiver for High Frequency (HF) applications
2019
- CLASSIFICATION STYLE REGRESSION FOR SPECTRAL OPENING PMF ESTIMATION
2019
- Handling Delay in Operation of a Cognitive Radio Engine
2018
- Leveraging blockchain for retraining deep learning architecture in patient-specific arrhythmia classification
2018
- An IP Core Solution for Decision Trees
2018
- The Impact of Delay on the Decisions of a Cognitive Radio Engine
2017
- Cognitive Spectrum Access System Architecture for Dynamic Spectrum Sharing
2017
- Algorithms and Experimental Results for a Learning Agent in Risky Environments with Multiple Goals
2017
- Enhancing Robustness and Perturbation Tolerance of Cognitive Radio Engines with Metacognition
2017
- An Agent Architecture for Learning with Multiple Goals and Risks
2017
- Experience Level Analysis for a Cognitive Radio Engine
2017
- Metacognition and the Next Generation of Cognitive Radio Engines
2016
- Patient-specific detection of ventricular tachycardia in remote continuous health devices
2016
- Improving Robustness of a Cognitive Radio Engine for Stationary and Non-stationary Environments
2016
- Metacognitive Radio Engine Design and Standardization
2015
- On Quantifying the Experience Level of a Cognitive Engine
2015
- Learning Characterization Framework and Analysis for a Meta-Cognitive Radio Engine
2014
- Machine interpretation of CAD data for manufacturing applications
1997
- Object-oriented intelligent computer-integrated design, process planning, and inspection
1993
- Automatic construction of process plans from solid model representations
1992
- Geometric reasoning for recognition of three-dimensional object features
1990