Scholar

Vladimir Zadorozhny

Google Scholar ID: fv1GAB8AAAAJ

School of Computing and Information, University of PIttsburgh

Networked Information SystemsData FusionComplex Adaptive SystemsPersonalized LearningSensor Data Management

Citations & Impact

All-time

Citations

822

H-index

i10-index

Publications

Co-authors

list available

Contact

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Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

- Awarded Fulbright Scholarship for 2014-2015
- Presented a tutorial on Fusing Information, Crowdsourcing and Mobility at IEEE MDM 2014
- Co-author of the paper Contagious diseases in the United States from 1888 to the present, published in The New England Journal of Medicine
- Involved in large-scale integration of epidemiological data reported in the above paper
- Received the best paper award at IEEE MDM 2012
- Awarded Leiv Eiriksson Fellowship by the Norwegian Research Council

Research Experience

- Core Faculty Member, Biomedical Informatics Training Program, University of Pittsburgh
- Adjunct Professor, Faculty of Engineering and Science, University of Agder, Norway
- General Chair of the Third International Symposium on the Tsetlin Machine (ISTM)
- Leader of the PREDICT project, responsible for implementing a multi-terabyte repository for efficient exploration of large-scale medical data
- Leader of the CaReLearner project, developing and implementing efficient data-driven logical interpretable learning strategies
- Leader of the Optimizing Recovery Prediction After Cardiac Arrest project, developing and implementing methods and techniques to facilitate efficient medical decision-making
- Leader of the TrIAD project, applying advanced data science methods to explore the impact of horizontal inequalities on social stability
- Member of the Center for Artificial Intelligence Research (CAIR) at the University of Agder, Norway
- General Chair of the IEEE MDM 2015 Conference

Background

Research interests include networked information systems, information integration and data fusion for notable event detection, complex adaptive systems, wireless and sensor data management, query optimization in distributed environments, scalable personalized learning, and scalable architectures for wide-area environments with heterogeneous information servers.

Miscellany