Michael M. Marefat
- Associate Professor, Electrical and Computer Engineering
- Member of the Graduate Faculty
Contact
- (520) 621-4852
- Electrical & Computer Engr, Rm. 230
- Tucson, AZ 85721
- marefat@ece.arizona.edu
Biography
| 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. |
Awards
- Best Paper Award
- Wireless Innovation Conference, 2016, Spring 2016
- Winncomm 2015, Spring 2015
Interests
No activities entered.
Courses
2024-25 Courses
-
Elements Electrical Engr
ECE 207 (Spring 2025) -
Knowledge-System Engineering
ECE 466 (Spring 2025) -
Knowledge-System Engineering
ECE 566 (Spring 2025) -
Elements Electrical Engr
ECE 207 (Fall 2024)
2023-24 Courses
-
Knowledge-System Engineering
ECE 466 (Spring 2024) -
Knowledge-System Engineering
ECE 566 (Spring 2024) -
Elements Electrical Engr
ECE 207 (Fall 2023) -
Obj Oriented Sftwr Dsgn
ECE 373 (Fall 2023)
2022-23 Courses
-
Elements Electrical Engr
ECE 207 (Fall 2022) -
Obj Oriented Sftwr Dsgn
ECE 373 (Fall 2022)
2021-22 Courses
-
Directed Research
ECE 492 (Summer I 2022) -
Elements Electrical Engr
ECE 207 (Spring 2022) -
Knowledge-System Engineering
ECE 466 (Spring 2022) -
Knowledge-System Engineering
ECE 566 (Spring 2022) -
Elements Electrical Engr
ECE 207 (Fall 2021) -
Obj Oriented Sftwr Dsgn
ECE 373 (Fall 2021)
2020-21 Courses
-
Directed Research
ECE 492 (Summer I 2021) -
Prin Artificial Intel
ECE 479 (Summer I 2021) -
Prin Artificial Intel
ECE 579 (Summer I 2021) -
Elements Electrical Engr
ECE 207 (Spring 2021) -
Prin Artificial Intel
ECE 479 (Spring 2021) -
Prin Artificial Intel
ECE 579 (Spring 2021) -
Elements Electrical Engr
ECE 207 (Fall 2020) -
Obj Oriented Sftwr Dsgn
ECE 373 (Fall 2020)
2019-20 Courses
-
Elements Electrical Engr
ECE 207 (Spring 2020) -
Knowledge-System Engineering
ECE 466 (Spring 2020) -
Knowledge-System Engineering
ECE 566 (Spring 2020) -
Elements Electrical Engr
ECE 207 (Fall 2019) -
Obj Oriented Sftwr Dsgn
ECE 373 (Fall 2019)
2018-19 Courses
-
Dissertation
ECE 920 (Spring 2019) -
Prin Artificial Intel
ECE 479 (Spring 2019) -
Prin Artificial Intel
ECE 579 (Spring 2019) -
Thesis
ECE 910 (Spring 2019) -
Dissertation
ECE 920 (Fall 2018) -
Elements Electrical Engr
ECE 207 (Fall 2018) -
Obj Oriented Sftwr Dsgn
ECE 373 (Fall 2018) -
Research
ECE 900 (Fall 2018) -
Thesis
ECE 910 (Fall 2018)
2017-18 Courses
-
Dissertation
ECE 920 (Spring 2018) -
Knowledge-System Engineering
ECE 466 (Spring 2018) -
Knowledge-System Engineering
ECE 566 (Spring 2018) -
Dissertation
ECE 920 (Fall 2017) -
Elements Electrical Engr
ECE 207 (Fall 2017) -
Obj Oriented Sftwr Dsgn
ECE 373 (Fall 2017) -
Thesis
ECE 910 (Fall 2017)
2016-17 Courses
-
Dissertation
ECE 920 (Spring 2017) -
Prin Artificial Intel
ECE 479 (Spring 2017) -
Prin Artificial Intel
ECE 579 (Spring 2017) -
Thesis
ECE 910 (Spring 2017) -
Dissertation
ECE 920 (Fall 2016) -
Elements Electrical Engr
ECE 207 (Fall 2016) -
Obj Oriented Sftwr Dsgn
ECE 373 (Fall 2016) -
Research
ECE 900 (Fall 2016) -
Thesis
ECE 910 (Fall 2016)
2015-16 Courses
-
Dissertation
ECE 920 (Spring 2016) -
Research
ECE 900 (Spring 2016) -
Thesis
ECE 910 (Spring 2016)
Scholarly Contributions
Journals/Publications
- Asadi, H., Volos, H., Marefat, M., & Bose, T. (2021). Experience level analysis for a cognitive radio engine. Analog Integrated Circuits and Signal Processing, 106(1), 73--84.
- Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2017). Experience Level Analysis for a Cognitive Radio Engine. International J. Analog Integrated Circuits and Signal Processing.
- Asadi, H., Volos, H., Marefat, M., & Bose, T. (2018). Experience level analysis for a cognitive radio engine. Analog Integrated Circuits and Signal Processing, 1--12.
- Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2017). Enhancing Robustness and Perturbation Tolerance of Cognitive Radio Engines with Metacognition. International J. Analog Integrated Circuits and Signal Processing, 91(2), 173-185.
- Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2017). Enhancing robustness and perturbation tolerance of cognitive radio engines with metacognition. Analog Integrated Circuits and Signal Processing, 91(2), 173--185.
- Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2016). Metacognition and the Next Generation of Cognitive Radio Engines. IEEE Communications Magazine, 54(1), 76-82.
- Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2015). Metacognitive Radio Engine Design and Standardization. IEEE Journal of Selected Areas in Communications (JSAC), 33(4), 711-724.
- Ji, Q., & Marefat, M. M. (1997). Machine interpretation of CAD data for manufacturing applications. ACM Computing Surveys (CSUR), 29(3), 264--311.
- Marefat, M., Malhotra, S., & Kashyap, R. (1993). Object-oriented intelligent computer-integrated design, process planning, and inspection. Computer, 26(3), 54--65.
- Marefat, M., & Kashyap, R. (1992). Automatic construction of process plans from solid model representations. Systems, Man and Cybernetics, IEEE Transactions on, 22(5), 1097--1115.
- Marefat, M., & Kashyap, R. (1990). Geometric reasoning for recognition of three-dimensional object features. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 12(10), 949--965.
Proceedings Publications
- Spillane, S., Jung, K. H., Bowers, K., Peken, T., Marefat, M. H., & Bose, T. (2020). Machine Learning Based MIMO Equalizer for High Frequency (HF) Communications. In 2020 International Joint Conference on Neural Networks (IJCNN).
- Fosdick, G., Marefat, M., & Bose, T. (2019). CLASSIFICATION STYLE REGRESSION FOR SPECTRAL OPENING PMF ESTIMATION.
- Marefat, M., & Juneja, A. (2019). Serverless Data Parallelization for Training and Retraining of Deep Learning Architecture in Patient-Specific Arrhythmia Detection. In 2019 IEEE EMBS International Conference on Biomedical \& Health Informatics (BHI).
- Teku, N., Asadi, H., Bose, T., & Marefat, M. (2019). Fully cognitive transceiver for High Frequency (HF) applications. In Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2018, 11015.
- Juneja, A., & Marefat, M. (2018). Leveraging blockchain for retraining deep learning architecture in patient-specific arrhythmia classification. In 2018 IEEE EMBS International Conference on Biomedical \& Health Informatics (BHI).
- Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2017, November). The Impact of Delay on the Decisions of a Cognitive Radio Engine. In SDR-WinnComm (Wireless Innovation Conference on Communications Technologies and Software Defined Radio), 173-179.
- Juneja, A., & Marefat, M. M. (2018, March 4-7, 2018). Leveraging Blockchain for Retraining Deep Learning Architecture in Patient-Specific Arrhythmia Classification. In IEEE International Conference on Biomedical and Health Informatics (BHI).
- Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2016, March). Improving Robustness of a Cognitive Radio Engine for Stationary and Non-stationary Environments. In SDR-WinnComm (Wireless Innovation Conference on Communications Technologies and Software Defined Radio), 166-173.
- Juneja, A., & Marefat, M. M. (2016, August). Patient-specific detection of ventricular tachycardia in remote continuous health devices. In IEEE 38th Annual International Conference on Engineering in Medicine and Biology (EMBC)), 529 - 532.
- Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2015, March). On Quantifying the Experience Level of a Cognitive Engine. In SDR-WinnComm (Wireless Innovation Conference on Communications Technologies and Software Defined Radio), 9-15.
- Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2014, March 11-13). Learning Characterization Framework and Analysis for a Meta-Cognitive Radio Engine. In SDR-WInnComm 2014 (Wireless Innovation Conference on Communications Technologies and Software Defined Radio), 132 – 139.
Presentations
- Spillane, S., Jung, K., Bowers, K., Bose, T., Marefat, M. M., & Peken, T. (2020, Fall). Machine Learning Based MIMO Equalizer for High Frequency (HF) Communications. 2020 International Joint Conference on Neural Networks (IJCNN). Glasgow, UK. Glasgow, UU: IJCNN.
- Marefat, M. M. (2016, November). Meta Learning and Applied Machine Learning. Presentation to BAE Systems. University of Arizona, Tucson, AZ.
- Marefat, M. M. (2015, November). From Cognitive Radio to Meta Cognitive Radio: Frameworks, Architectures, and Implementations. Broad Band and Wireless Research Center (BWAC) bi-annual meeting. University of Mississippi, Oxford, MS.
- Marefat, M. M. (2013, April 2013). Image Understanding for far-infrared night vision. Presentation to Northrop Grumman Research. University of Arizona.
- Marefat, M. M., Asadi, H., Volos, H., & Bose, T. (2013, October). Meta Cognitive Radio. Presentation to Nokia wireless research.
Poster Presentations
- Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2016, March). Enhancing Perturbation Tolerance of Cognitive Radio Engines with Metacognition. Broad Band Wireless And Applications Research Center bi-annual meeting. Tucson, AZ.
- Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2015, April). On Quantifying the Experience Level of Cognitive Engines for Metacognition. Broad Band Wireless And Applications Research Center bi-annual meeting. University of Notre Dame, South Bend, IN.
- Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2015, November). Improving Robustness of a Cognitive Radio Engine. Broad Band Wireless And Applications Research Center bi-annual meeting. University of Mississippi, Oxford, MS.
- Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2014, March). Meta Cognitive Radio Engine Design and Development. Broad Band and Wireless Research Center annual meeting. University of Virginia.
- Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2013, April). Intelligent Cognitive Radio Agents: Framework, Architectures, Analysis. Broad Band Wireless And Applications Research Center bi-annual meeting. Biosphere 2, Oracle, AZ.
- Asadi, H., Volos, H., Marefat, M. M., & Bose, T. (2013, March). Intelligent Cognitive Radio Agents: Framework, Architectures, Analysis. Broad Band and Wireless Research Center annual meeting. Biosphere 2.
Others
- Bose, T., Xin, H., Marefat, M., Asadi, H., Abdelrahman, A., & Liang, M. (2018). Cognitive hf radio with tuned compact antenna.
