Faculty

Institution

Unit

Venue

Mónica Fernández Bugallo

Professor

Stony Brook University

Affiliations

College of Engineering and Applied Sciences

Electrical and Computer Engineering

Mónica Fernández Bugallo is currently serving as a College Of Engineering And Applied Sciences Professor at Stony Brook University.

Honors

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Experiences

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Education

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Mónica Fernández Bugallo

Stony Brook University

Professor

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signal processing machine learning electrical engineering statistics computer science digital signal processing systems engineering statistical signal processing sampling object tracking engineering education filtering technique higher education particle filtering computer vision particle technology wireless communications positioning systems filter design tracking systems statistical inference information fusion data fusion stem education speech processing location tracking state estimation science education multiple particle filtering wireless sensor networks parameter estimation sequential monte carlo eeg signal processing bayesian inference radio frequency identification audio signal processing adaptive importance sampling target tracking high-dimensional systems statistical methodology statistical analysis sensor signal processing interference cancellation estimation theory monte carlo methods sensor self-localization data detection population monte carlo vehicular technology localization mobile computing numerical simulations probabilistic analysis sampling theory transaction processing moving object tracking aerospace technology decision fusion satellite signal processing binary sensor networks engineering practices rfid systems time-varying number dynamic systems biased measurements particle filters topology estimation genome biology stem cell research bayesian analysis control optimization statistical science faculty professional development distributed artificial intelligence stochastic optimization wireless personal communication navigation location estimation

Notable Scholarly Works

Notable Federal Grants

Collaborators

Particle Markov Chain Monte Carlo Approach to Inference in Transient Surface Kinetics. Journal of Chemical Theory and Computation (2025)

Marija IloskaJ. Anibal BoscoboinikQin WuMónica F. Bugallo

chemical kineticscomputational chemistrymonte carlo methodsmolecular modellingcomputational sciencequantum chemistrymarkov chain monte carlomonte carlochemistrynumerical simulationstransient surface kineticstheoretical chemistry

Board 191: A Model for Engineering Education Professional Development for K-12 Science Teachers. (2024)

Kathleen DinotaMonica Bugallo

engineering educationteacher educationprofessional developmentscience educationengineering

Board 291: Future Stem Leaders: An Innovative Career-Readiness Program for Female Graduate Students. (2024)

Alfreda JamesMarianna SavocaMonica BugalloCatherine Scott

stem educationfuture stem leadersfemale graduate studentsinnovative career-readiness program

Board 381: Serving Community Needs While Sharpening Engineering Skills. (2024)

Urszula ZalewskiMarianna SavocaMonica Bugallo

serving community needsengineeringengineering skills

Cognitive Load, Transfer, and Instructional Decision-Making in an Informal Middle School Stem Integration Program. (2024)

Angela KellyMonica Bugallo

cognitive loadhigher educationinstructional decision-makingeducational psychologystem educationcognitive science

Traffic Lights Engineering Academy: A Remote Online Education Solution for Creating K-12 Stem Projects Featuring Microcontrollers. (2024)

Hechuan WangKathleen DinotaMonica Bugallo

engineering educationonline educationeducationdistance educationstem educationengineering

Welcoming and Building Community for Graduate Students Through Remote Tech Environments. 2020 ASEE Virtual Annual Conference Content Access Proceedings (2024)

Marianna SavocaRachel PerlmanKimberly BellMonica Bugallo

humanitieshigher educationgraduate studentseducationinclusive educationcommunity buildingdistance educationremote tech environmentseducational technologybuilding community

Early Exposure to Stem Research as a Foundational Experience for Stem Careers. Experiential Learning and Teaching in Higher Education (2023)

Marianna SavocaKaren KernanCatherine ScottMonica Bugallo

higher educationexperiential learningcognitive sciencestem careersfoundational experience

Generalized Two-Stage Particle Filter for High Dimensions. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)

Marija IloskaMónica F. Bugallo

particle technologytwo-stage particle filterhigh dimensions

Recent Advances in Bayesian Inference for Complex Systems. Women in engineering and science (2023)

Mónica F. Bugallo

bayesian inferencecomplex systemsengineering

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Mónica Fernández Bugallo

Professor

Stony Brook University

Affiliations

College of Engineering and Applied Sciences

Electrical and Computer Engineering

Mónica Fernández Bugallo is currently serving as a College Of Engineering And Applied Sciences Professor at Stony Brook University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Mónica Fernández Bugallo

Stony Brook University

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Particle Markov Chain Monte Carlo Approach to Inference in Transient Surface Kinetics. Journal of Chemical Theory and Computation (2025)

Marija IloskaJ. Anibal BoscoboinikQin WuMónica F. Bugallo

Board 191: A Model for Engineering Education Professional Development for K-12 Science Teachers. (2024)

Kathleen DinotaMonica Bugallo

engineering educationteacher educationprofessional developmentscience educationengineering

Board 291: Future Stem Leaders: An Innovative Career-Readiness Program for Female Graduate Students. (2024)

Alfreda JamesMarianna SavocaMonica BugalloCatherine Scott

stem educationfuture stem leadersfemale graduate studentsinnovative career-readiness program

Board 381: Serving Community Needs While Sharpening Engineering Skills. (2024)

Urszula ZalewskiMarianna SavocaMonica Bugallo

serving community needsengineeringengineering skills

Cognitive Load, Transfer, and Instructional Decision-Making in an Informal Middle School Stem Integration Program. (2024)

Angela KellyMonica Bugallo

cognitive loadhigher educationinstructional decision-makingeducational psychologystem educationcognitive science

Traffic Lights Engineering Academy: A Remote Online Education Solution for Creating K-12 Stem Projects Featuring Microcontrollers. (2024)

Hechuan WangKathleen DinotaMonica Bugallo

engineering educationonline educationeducationdistance educationstem educationengineering

Welcoming and Building Community for Graduate Students Through Remote Tech Environments. 2020 ASEE Virtual Annual Conference Content Access Proceedings (2024)

Marianna SavocaRachel PerlmanKimberly BellMonica Bugallo

humanitieshigher educationgraduate studentseducationinclusive educationcommunity buildingdistance educationremote tech environmentseducational technologybuilding community

Early Exposure to Stem Research as a Foundational Experience for Stem Careers. Experiential Learning and Teaching in Higher Education (2023)

Marianna SavocaKaren KernanCatherine ScottMonica Bugallo

higher educationexperiential learningcognitive sciencestem careersfoundational experience

Generalized Two-Stage Particle Filter for High Dimensions. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)

Marija IloskaMónica F. Bugallo

particle technologytwo-stage particle filterhigh dimensions

Recent Advances in Bayesian Inference for Complex Systems. Women in engineering and science (2023)

Mónica F. Bugallo

bayesian inferencecomplex systemsengineering

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5
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Similar Faculty Members

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Similar Faculty Members

Monica Bugallo

Institution

Stony Brook University

localization

bayesian analysis

Petar M. Djuric

Institution

Stony Brook University

distributed signal processing

bayesian analysis

Yih-Fang Huang

Institution

University of Notre Dame

electrical engineering

signal processing

Dan Schonfeld

Institution

University of Illinois Chicago

pattern recognition

video content analysis

Randy Moses

Institution

Ohio State University

industrial informatics

radar signal processing

Raviv Raich

Institution

Oregon State University

signal processing

computational optimization

Qilian Liang

Institution

University of Texas at Arlington

electrical engineering

computer science

V John Mathews

Institution

Oregon State University

health monitoring

neural network (machine learning)

Yimin D. Zhang

Institution

Temple University

electrical engineering

signal processing

Jacob Hans Gunther

Institution

Utah State University

signal processing

statistical signal processing