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Dean Krusienski, Ph.D.

Dean Krusienski, Ph.D.

Professor and Graduate Program Director, Department of Biomedical Engineering | B.S., M.S., Ph.D., The Pennsylvania State UniversityVCU College of Engineering

Focusing on neural signal processing and analysis for the development of brain-computer interfaces and neuroprosthetic devices.

EEG AnalysisBrain-Computer InterfacesSignal ProcessingMachine LearningNeuroprosthetics
Yuichi Motai, Ph.D.

Yuichi Motai, Ph.D.

Associate Professor, Department of Electrical and Computer EngineeringVCU College of Engineering

Associate Professor of the Department of Electrical and Computer Engineering of Virginia Commonwealth University.

System SafetyIntelligent Systems with Adaptive TrackingOnline Classification MethodologiesMedical ImagingPattern Recognition
Moeness Amin, PhD

Moeness Amin, PhD

Professor of Electrical and Computer Engineering; Director of the Center for Advanced Communications | Villanova College of EngineeringVillanova University

Moeness Amin, PhD, is an expert in the theory of signal and array processing with applications to radar, sonar and communications.

Smart AntennasRadarRadar ImagingSonar Surveillance
Afroditi V. Filippas, Ph.D.

Afroditi V. Filippas, Ph.D.

ProfessorElectrical and Computer Engineering

Professor Filippas is VCU’s representative to CCAM. Her research focuses on Smart Manufacturing, Data Analytics, and Modeling.

Electromagnetic Device ModelingData AnalyticsHigher Order Statistical AnalysisMultimodal Data AnalyticsExperimental Design
Supriyo Bandyopadhyay, Ph.D.

Supriyo Bandyopadhyay, Ph.D.

Commonwealth Professor, Department of Electrical and Computer EngineeringVCU College of Engineering

Professor Bandyopadhyay has authored and co-authored over 400 research publications

Self-assembly of Regimented Nanostructure ArraysSpintronicsQuantum DevicesHot Carrier Transport in NanostructuresNanoelectronics
Cory Prust, Ph.D.

Cory Prust, Ph.D.

ProfessorMilwaukee School of Engineering

Dr. Cory Prust’s areas of expertise include statistical signal and image processing, adaptive array processing and radar systems.

Stastical Image ProcessingAdaptive Array ProcessingStatistical Signal Processing Computer EngineeringElectrical Engineering
Olga Imas, Ph.D.

Olga Imas, Ph.D.

Professor, Director of Applied AI EducationMilwaukee School of Engineering

Dr. Olga Imas is an expert in signal and image processing, biomedical engineering, circuit theory, and advanced imaging applications.

Molecular Imaging Medical ImagingEEG AnalysisDigital Signal ProcessingComputing Tomography
Aarti Singh

Aarti Singh

ProfessorCarnegie Mellon University

Aarti Singh researches machine learning, statistics and signal processing, focusing on algorithms for learning and decision making.

Digital TwinsHuman Factors in Decision MakingAutonomous Decision MakingMachine LearningSignal Processing
Jay Wierer, Ph.D.

Jay Wierer, Ph.D.

Associate ProfessorMilwaukee School of Engineering

Dr. Jay Wierer's areas of interest include engineering education, standards-based grading, and both music & statistical signal processing.

Engineering EducationMusic Signal ProcessingStatistical Signal Processing Control SystemsDigital Signal Processing
Christopher A. Lemmon, Ph.D.

Christopher A. Lemmon, Ph.D.

Inez A Caudill Professor; Associate Chair, Department of Biomedical Engineering | B.S., Lehigh University | M.S., University of Wisconsin | Ph.D., Johns Hopkins UniversityVCU

Dr. Lemmon's research lies in cell-generated traction forces and extracellular matrix biology

Cell-generated traction forcesExtracellular matrix biologyCellular mechanotransductionMechanobiology of fibrosisMatrix mechanics and signaling in the tumor microenvironment;
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