Dr. Ali Mostafavi, PhD, PE

Dr. Ali Mostafavi, PhD, PE

Assistant Research Engineer , Texas A&M Transportation Institute (College Station, TX)

Doctor of Philosophy, Purdue University

Dr. Ali Mostafavi has specialized experience in the fields of Civil Engineering and Engineering. They earned their BS in Civil Engineering from K. N. Toosi University of Technology, their MS in Industrial Administration from Purdue University, their MS in Civil Engineering from University of Tehran, and their PhD in Civil Engineering from Purdue University. Previously, they held roles as a Project Manager Assistant at Huawei Technologies and an Assistant Professor at Florida International University. Currently, they work as an Assistant Research Engineer at Texas A&M Transportation Institute and Professor of Computer Science and Engineering at Texas A&M University.

a*********@*****.tamu

(765) ***-****

College Station, Texas

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Radar Metrics At A Glance

Expert Witness Activity

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Plaintiff Cases

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Defense Cases

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Expert Challenges

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Deposition Transcripts

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Publications

236

Media & News

103

Social Media Mentions

448

Expert Witness Activity

Case Name

Role

Filed Date

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Litigation Analytics

Retained By

Defense

Plaintiff

33%67%

Activity over time

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25

50

75

100

2000

0

2002

0

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0

2006

0

2008

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2010

0

Activity by state

Map of USA

Case Outcome

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25

50

75

100

Education

Institution

Degree Type

Purdue University

Doctor of Philosophy

Purdue University

Master of Science

University of Tehran

Master of Science

Work History

Title

Employer

Assistant Research Engineer

Texas A&M Transportation Institute (College Station, TX)

Professor of Computer Science and Engineering

Texas A&M University (College Station, TX)

Project Manager Assistant

Huawei Technologies

Publications

Radar found 236 records

Title

Type

Generating equitable urban human flows with a fairness-aware deep learning model

Journal Article

Establishing nationwide power system vulnerability index across US counties using interpretable machine learning

Journal Article

DamageCAT: A deep learning transformer framework for typology-based post-disaster building damage categorization

Journal Article

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