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Profile
Michael Marefat
Associate Professor, Electrical and Computer Engineering | Member of the Graduate Faculty
Electrical and Computer Engr
Overview
Research
More
Collaboration
(4)
Ricardo Valerdi
Mutual work: 2 Proposals
Collaboration Details
Lucy Ziurys
Mutual work: 1 Proposal
Collaboration Details
Loukas Lazos
Mutual work: 1 Proposal
Collaboration Details
Min Liang
Mutual work: 2 Techs
Collaboration Details
Grants
(1)
REU Site: Undergraduate Research Experiences in Long Range Communications with Ham Radios, Cool Algorithms, and Innovative Antennas.
2019
·
$162.5K / $325K
·
External
Principal Investigator (PI)
communications,
radio,
algorithms,
antennas,
undergraduate
Publications
(24)
Recent
An Architecture for a Learning Agent with Multiple Goals in Risky Environments
2020
artificial intelligence,
machine learning,
multi-agent systems,
risk analysis,
decision making
Machine Learning Based MIMO Equalizer for High Frequency HF) Communications
2020
machine learning,
mimo,
high frequency communications,
equalizer
Serverless Data Parallelization for Training and Retraining of DeeLearning Architecture in Patient-Specific Arrhythmia Detection
2019
machine learning,
healthcare,
data parallelization,
serverless computing,
arrhythmia detection
CLASSIFICATION STYLE REGRESSION FOR SPECTRAL OPENING PMF ESTIMATION
2019
classification,
regression,
spectral analysis,
probability mass function,
estimation
Fully cognitive transceiver for High Frequency HF) applications
2019
cognitive radio,
high-frequency,
transceiver,
signal processing,
wireless communication
Leveraging Blockchain for Retraining DeeLearning Architecture in Patient-Specific Arrhythmia Classification
2018
blockchain,
deelearning,
arrhythmia,
retraining,
patient-specific
An IP Core Solution for Decision Trees
2018
computer science,
artificial intelligence,
embedded systems,
data mining,
machine learning
Handling Delay in Operation of a Cognitive Radio Engine
2018
cognitive radio,
delay,
radio frequency,
wireless communication,
signal processing
Enhancing robustness and perturbation tolerance of cognitive radio engines with metacognition
2017
cognitive radio,
robustness,
metacognition,
perturbation tolerance,
engine optimization
An Agent Architecture for Learning with Multiple Goals and Risks
2017
reinforcement learning,
multi-goal learning,
risk management,
agent architecture,
machine learning
