Faculty

Institution

Unit

Venue

Edward Condon

University of Maryland, College Park

Affiliations

A. James Clark School of Engineering

Maryland Applied Graduate Engineering

NoneEdward Condon is currently serving as a A. James Clark School Of Engineering faculty at University of Maryland, College Park.

Honors

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Experiences

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Education

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Edward Condon

University of Maryland, College Park

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data science computer security computer science systems engineering visualization machine learning forecasting management operations research artificial intelligence data mining information security global strategy decision science event evaluation wireless security network security software security approximate bayesian computation analytic hierarchy process neural networks summer olympics time series models security incidents software reliability models adjacency data visualization model office devices common intervention actions population characteristics computer security incidents forecasting models

Notable Scholarly Works

Notable Federal Grants

Collaborators

Using Approximate Bayesian Computation to Empirically Test Email Malware Propagation Models Relevant to Common Intervention Actions. (2016)

Edward CondonMichel Cukier

approximate bayesian computationmachine learningcomputer securitysoftware securitycommon intervention actionsdata sciencecomputer sciencesoftware testing

Using Population Characteristics to Build Forecasting Models for Computer Security Incidents. (2012)

Edward CondonMichel Cukier

population characteristicscomputer securitycomputer security incidentsdata scienceforecasting modelsforecasting

How Secure Are Networked Office Devices?. (2011)

Edward CondonEmily CumminsZaina AfoulkiMichel Cukier

technologyoffice deviceswireless securitycomputer securityinformation securitynetwork security

Analysis of Computer Security Incident Data Using Time Series Models. (2008)

Edward CondonAngela HeMichel Cukier

computer securitytime series modelsdata science

Applying Software Reliability Models on Security Incidents. (2007)

Edward CondonMichel CukierTao He

software reliability modelssecurity incidents

Visualizing Group Decisions in the Analytic Hierarchy Process. Computers & Operations Research (2003)

Edward CondonBruce GoldenEdward Wasil

analytic hierarchy processcomputer sciencevisualization

A Visualization Model Based on Adjacency Data. Decision Support Systems (2002)

Edward CondonBruce GoldenShreevardhan LeleS. RaghavanEdward Wasil

systems engineeringvisualization modeladjacency datadecision sciencedata miningdata sciencevisualization

Predicting the Success of Nations at the Summer Olympics Using Neural Networks. Computers & Operations Research (1999)

Edward M. CondonBruce L. GoldenEdward A. Wasil

systems engineeringmanagementmachine learningglobal strategysummer olympicsneural networksartificial intelligenceforecastingcomputer scienceevent evaluationoperations research

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Edward Condon

University of Maryland, College Park

Affiliations

A. James Clark School of Engineering

Maryland Applied Graduate Engineering

NoneEdward Condon is currently serving as a A. James Clark School Of Engineering faculty at University of Maryland, College Park.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Edward Condon

University of Maryland, College Park

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Using Approximate Bayesian Computation to Empirically Test Email Malware Propagation Models Relevant to Common Intervention Actions. (2016)

Edward CondonMichel Cukier

approximate bayesian computationmachine learningcomputer securitysoftware securitycommon intervention actionsdata sciencecomputer sciencesoftware testing

Using Population Characteristics to Build Forecasting Models for Computer Security Incidents. (2012)

Edward CondonMichel Cukier

population characteristicscomputer securitycomputer security incidentsdata scienceforecasting modelsforecasting

How Secure Are Networked Office Devices?. (2011)

Edward CondonEmily CumminsZaina AfoulkiMichel Cukier

technologyoffice deviceswireless securitycomputer securityinformation securitynetwork security

Analysis of Computer Security Incident Data Using Time Series Models. (2008)

Edward CondonAngela HeMichel Cukier

computer securitytime series modelsdata science

Applying Software Reliability Models on Security Incidents. (2007)

Edward CondonMichel CukierTao He

software reliability modelssecurity incidents

Visualizing Group Decisions in the Analytic Hierarchy Process. Computers & Operations Research (2003)

Edward CondonBruce GoldenEdward Wasil

analytic hierarchy processcomputer sciencevisualization

A Visualization Model Based on Adjacency Data. Decision Support Systems (2002)

Edward CondonBruce GoldenShreevardhan LeleS. RaghavanEdward Wasil

systems engineeringvisualization modeladjacency datadecision sciencedata miningdata sciencevisualization

Predicting the Success of Nations at the Summer Olympics Using Neural Networks. Computers & Operations Research (1999)

Edward M. CondonBruce L. GoldenEdward A. Wasil

systems engineeringmanagementmachine learningglobal strategysummer olympicsneural networksartificial intelligenceforecastingcomputer scienceevent evaluationoperations research

1
10 / page

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Similar Faculty Members

Yuzhang Lin

Institution

New York University

renewable energy

computational intelligence

Aaron D. Striegel

Institution

University of Notre Dame

heterogeneous network optimization

heterogeneous network

Liang Du

Institution

Temple University

electrical engineering

systems engineering

Tomas Cerny

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University of Arizona

application analysis

empirical software engineering research

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Baylor University

systems engineering

computer science

Jerzy W Rozenblit

Institution

University of Arizona

design automation

computer-based systems

Akbar Siami-Namin

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model-based testing

software testing

Alex Aiken

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Stanford University

computer science

machine learning

Michele C. Weigle

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digital medium

informatics

David Karger

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computer science

communication