Faculty

Institution

Unit

Venue

Abolfazl Safikhani

Assistant Professor

George Mason University

Affiliations

College of Engineering and Computing

Department of Statistics

Abolfazl Safikhani is currently serving as a College Of Engineering And Computing Assistant Professor at George Mason University.

Honors

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Experiences

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Education

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Abolfazl Safikhani

George Mason University

Assistant Professor

You can click a keyword to filter the displayed items

applied mathematics statistics transportation engineering machine learning systems engineering forecasting high-dimensional statistics spatio-temporal modeling engineering applied statistics statistical methodology spatial economics statistical inference spatial analysis digital signal processing mobility statistical analysis predictive modeling eeg signal processing infectious disease modelling transport economics transportation research transportation planning short-term uber demand short-term prediction supportive care cancer care infrastructure engineering automatic control vehicular technology urban geography applied geography sustainable development economic modelling respiratory medicine symptom management computational statistics transport geography travel research computer-aided engineering traffic engineering demand forecasting urban modelling traffic prediction transaction processing statistical signal processing logistic regression spatial planning land management transport infrastructure public transport covid-19 pandemic model framework computational epidemiology spatio-temporal models audio signal processing electrical transmission disease transmission probabilistic analysis bibliometrics radiation therapy high-dimensional method forecasting methodology safety buffer range anxiety breast cancer patients supportive care intervention legacy measures yellow taxi demands generalized star models cycle-length prediction arima model actuated traffic-signal control spatiotemporal modeling low rank urban growth urban planning big spatiotemporal data analytics smart cities change point detection geographical information science data science

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Functional Coefficients Network Autoregressive Model. Statistica Sinica (2024)

Hang YinAbolfazl SafikhaniGeorge Michailidis

computer sciencegraph theorynetwork theorydata scienceapplied mathematics

A Unified Framework for Fast Large-Scale Portfolio Optimization. Data Science in Science (2024)

Weichuan DengPaweł PolakAbolfazl SafikhaniRonakdilip Shah

portfolio optimizationunified frameworkdata science

A General Modeling Framework for Network Autoregressive Processes. Technometrics (2023)

Hang YinAbolfazl SafikhaniGeorge Michailidis

model frameworkgeneral modeling frameworknetwork autoregressive processesnetwork scienceapplied mathematicsmachine learning

Spatio-Temporal Modeling of Parcel-Level Land-Use Changes Using Machine Learning Methods. Sustainable Cities and Society (2023)

Emre TepeAbolfazl Safikhani

spatial analysisurban geographyspatial planningsustainable developmentenvironmental sciencespatio-temporal modelingmachine learning methodsland usedata scienceland managementparcel-level land-use changesapplied geographymachine learning

A Unified Framework for Change Point Detection in High-Dimensional Linear Models. Statistica Sinica (2022)

Yue BaiAbolfazl Safikhani

unified frameworkstatistical methodologychange point detectioneconometricshigh-dimensional linear modelsapplied statisticsstatisticshigh-dimensional statistics

Hybrid Modeling of Regional Covid-19 Transmission Dynamics in the U.S.. IEEE Journal of Selected Topics in Signal Processing (2022)

Yue BaiAbolfazl SafikhaniGeorge Michailidis

hybrid modelingepidemiologyelectrical transmissionsignal processinginfectious diseasesdisease transmissionrespiratory medicineaudio signal processingelectrical engineeringeeg signal processingdigital signal processingmodeling and simulationcovid-19transmissioninfectious disease modelling

Data Science in Science: Special Issue on Data Science in Modern Finance. Data Science in Science (2022)

Mila Getmansky ShermanRuey S. TsayRong ChenMarkus PelgerSumanta BasuDaniel R. KowalRebecca KillickShawn MankadInes WilmsAbolfazl SafikhaniLinden McBrideDavid S. Matteson

data literacybig dataquantitative analysis (finance)business intelligencefinance researchdata integrationmodern financefinancial datatechnological forecastingstatistical softwaredata engineeringdata practicesdata sciencescientific datadata managementdata-driven innovationsanalyticsfinance

Machine Learning Application to Spatio-Temporal Modeling of Urban Growth. Computers Environment and Urban Systems (2022)

Yuna KimAbolfazl SafikhaniEmre Tepe

computer sciencespatio-temporal modelingurban growthmachine learning

Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models. Journal of the American Statistical Association (2022)

Peiliang BaiAbolfazl SafikhaniGeorge Michailidis

statistical analysisprobabilistic analysisapplied statisticsbibliometricsstatisticshigh-dimensional statistics

Non-Stationary Time Series Model for Station-Based Subway Ridership During Covid-19 Pandemic: Case Study of New York City. Transportation Research Record Journal of the Transportation Research Board (2022)

Bahman MoghimiCamille KamgaAbolfazl SafikhaniSandeep MudigondaPatricio Vicuna

public healthtransportation planningstation-based subway ridershiptransportation researchcovid-19 pandemicpublic transporttransport infrastructuretransportation engineeringtime series

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Abolfazl Safikhani

Assistant Professor

George Mason University

Affiliations

College of Engineering and Computing

Department of Statistics

Abolfazl Safikhani is currently serving as a College Of Engineering And Computing Assistant Professor at George Mason 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

Abolfazl Safikhani

George Mason University

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Functional Coefficients Network Autoregressive Model. Statistica Sinica (2024)

Hang YinAbolfazl SafikhaniGeorge Michailidis

computer sciencegraph theorynetwork theorydata scienceapplied mathematics

A Unified Framework for Fast Large-Scale Portfolio Optimization. Data Science in Science (2024)

Weichuan DengPaweł PolakAbolfazl SafikhaniRonakdilip Shah

portfolio optimizationunified frameworkdata science

A General Modeling Framework for Network Autoregressive Processes. Technometrics (2023)

Hang YinAbolfazl SafikhaniGeorge Michailidis

model frameworkgeneral modeling frameworknetwork autoregressive processesnetwork scienceapplied mathematicsmachine learning

Spatio-Temporal Modeling of Parcel-Level Land-Use Changes Using Machine Learning Methods. Sustainable Cities and Society (2023)

Emre TepeAbolfazl Safikhani

A Unified Framework for Change Point Detection in High-Dimensional Linear Models. Statistica Sinica (2022)

Yue BaiAbolfazl Safikhani

unified frameworkstatistical methodologychange point detectioneconometricshigh-dimensional linear modelsapplied statisticsstatisticshigh-dimensional statistics

Hybrid Modeling of Regional Covid-19 Transmission Dynamics in the U.S.. IEEE Journal of Selected Topics in Signal Processing (2022)

Yue BaiAbolfazl SafikhaniGeorge Michailidis

Data Science in Science: Special Issue on Data Science in Modern Finance. Data Science in Science (2022)

Mila Getmansky ShermanRuey S. TsayRong ChenMarkus PelgerSumanta BasuDaniel R. KowalRebecca KillickShawn MankadInes WilmsAbolfazl SafikhaniLinden McBrideDavid S. Matteson

Machine Learning Application to Spatio-Temporal Modeling of Urban Growth. Computers Environment and Urban Systems (2022)

Yuna KimAbolfazl SafikhaniEmre Tepe

computer sciencespatio-temporal modelingurban growthmachine learning

Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models. Journal of the American Statistical Association (2022)

Peiliang BaiAbolfazl SafikhaniGeorge Michailidis

statistical analysisprobabilistic analysisapplied statisticsbibliometricsstatisticshigh-dimensional statistics

Bahman MoghimiCamille KamgaAbolfazl SafikhaniSandeep MudigondaPatricio Vicuna

public healthtransportation planningstation-based subway ridershiptransportation researchcovid-19 pandemicpublic transporttransport infrastructuretransportation engineeringtime series

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10 / page

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Similar Faculty Members

Ryan Tibshirani

Institution

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statistics

machine learning

Nalini Ravishanker

Institution

University of Connecticut

infrastructure engineering

statistical modeling

Zhengyuan Zhu

Institution

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remote sensing

geography

David Matteson

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Vladas Pipiras

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big data

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Wei-Biao Wu

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regression analysis

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Cyrus Shahabi

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spatial analysis

database

Dipak Dey

Institution

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theoretical biology

biological computation

Han Liu

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machine learning

applied mathematics

Xiaokun Cara Wang

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transport geography

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