Dr. Ebert

Professor of ECE and CS, Gallogly Chair #3
Associate VP of Research and Partnerships
Director, Data Institute for Societal Challenges

EDUCATION

PhD, Computer Science, The Ohio State University 
MS, Computer Science, The Ohio State University
BS, Computer Science, The Ohio State University

EXPERIENCE

• Silicon Valley Professor of Electrical and Computer Engineering
• Director, U.S. DHS Center of Excellence in Visual Analytics 
• Director, Center for Education and Research in Information Assurance and Security 
• Director, Purdue University Visual Analytics Center
• Associate Professor, School of Electrical and Computer Engineering,
  Purdue University

RESEARCH INTERESTS

Visual analytics, human-computer teaming, trustable AI, fundamental data science advances with targeted impact in energy and climate resiliency and sustainability, defense and security, health and digital humanities.

AWARDS, HONORS & PROFESSIONAL ACTIVITIES

• Recently awarded the National Science Foundation's ART: Intensifying Translation of Research in Oklahoma (InTRO) grant. HERE
  
• IEEE Fellow
• Entrepreneur Leadership Academy Fellow
• University Faculty Scholar
• IEEE Computer Society Leadership
• IEEE Computer Society vgTC Visualization Academy
• IEEE Computer Society vgTC Technical Achievement Award 
• United States Coast Guard Certificate of Merit, VACCINE Social Media Analytics and Reporting Toolkit Project Team
• U. S. Coast Guard Meritorious Team Commendation, U.S. Coast Guard, Port Resilience for Operational Tactical Enforcement to Combat Terrorism (PROTECT) Team
• Impact Award, DHS S&T
• Award of Excellence, DHS S&T

SELECTED PATENTS

• US Patent No. 8,924,332 – “Public safety camera identification and monitoring system and method,” issued on July 2, 2019.
  
• US Patent No. 8,924,332 – "Forecasting Hotspots Using Predictive Visual Analytics," issued on December 30, 2014.  
• US Patent No. 8,882,664 – "Animal Symptom Visual Analytics," issued on November 11, 2014. 
• US Patent No. 8,849,728 – "Visual Analytics Law Enforcement Tools," issued on September 30, 2014.

SELECTED PUBLICATIONS

• Snyder, L. S., Lin, Y.-S., Karimzadeh, M., Goldwasser, D., & Ebert, D. S., “Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness,” IEEE Transactions on Visualization and Computer Graphics, to appear 2020.
• Zhao, J., Karimzadeh, M., Snyder, L. S., Surakitbanharn, C., Qian, Z. C., & Ebert, D. S., “MetricsVis: A Visual Analytics System for Evaluating Employee Performance in Public Safety Agencies,” IEEE Transactions on Visualization and Computer Graphics, to appear 2020.
• Khayat, M., Karimzadeh, M., Ebert, D. S., Ghafoor, A. “The Validity, Generalizability and Feasibility of Summative Evaluation Methods in Visual Analytics,” IEEE Transactions on Visualization and Computer Graphics, to appear 2020.
• Khayat, M., Karimzadeh, M., Zhao, J., Ebert, D. S. “VASSL: A Visual Analytics Toolkit for Social Spambot Labeling,” IEEE Transactions on Visualization and Computer Graphics, to appear 2020.
• Lee, C., Jin, S. Kim, D., Maciejewski, R., Ebert, D., Ko, S., “An Visual Analytics System for Exploring, Monitoring, and Forecasting Road Traffic Congestion,” IEEE Transactions on Visualization and Computer Graphics, 2019.
• Chen, M., Ebert, D., “An Ontological Framework for Supporting the Design and Evaluation of Visual Analytics Systems,” Computer Graphics Forum (Proc. IEEE EuroVis 2019), 2019.

Office: DEH
Phone: (405) 325-4275
Email Dr. Ebert
View Curriulum Vitae