- Home
- About
- People
- Equity
- Research
- Academics
- Admissions
- Students
- News
- Events
- Give to SCI
Vladimir Zadorozhny
- Professor
Institution of Highest Degree
- PhD, Institute for Problems of Informatics, Russian Academy of Sciences, Moscow
Representative Publications
Karataev, Evgeny and Zadorozhny, Vladimir (2017) Adaptive Social Learning Based on Crowdsourcing. IEEE Transactions on Learning Technologies, 10 (2). 128 - 139. ISSN 1939-1382
Kang, Y and Zadorozhny, V (2016) Process monitoring using maximum sequence divergence. Knowledge and Information Systems, 48 (1). 81 - 109. ISSN 0219-1377
Zadorozhny, Vladimir and Grant, John (2016) A systematic approach to reliability assessment in integrated databases. Journal of Intelligent Information Systems, 46 (3). 409 - 424. ISSN 0925-990
Zadorozhny, Vladimr and Manning, Patrick and Drwenski, Matthew and Karataev, Evgeny (2016) Towards a Social Weather Service: Linking Social Sciences and Information Sciences in Large-Scale Inequality Analysis. Journal of World-Historical Information, 2 (1).
Brusilovsky, P and Somyurek, S and Guerra, J and Hosseini, R and Zadorozhny, V and Durlach, PJ (2016) Open Social Student Modeling for Personalized Learning. IEEE Transactions on Emerging Topics in Computing, 4 (3). 450 - 461.
Kang, Yihuang and Zadorozhny, Vladimir (2016) Process Discovery using Classification Tree Hidden Semi-Markov Model. In: The Fifth IEEE International Workshop on Data Integration and Mining (DIM-2016). In conjunction with IRI'16, 28 July 2016 - 30 July 2016, Pittsburgh, United States of America.
Ren, Yi and Zadorozhny, Vladimir and Oleshchuk , Vladimir and Li, Frank (2012) An Efficient, Robust, and Scalable Trust Management Scheme for Unattended Wireless Sensor Networks. In: 13th International Conference on Mobile Data Management, July 23-26, 2011, Bengaluru, India. (In Press)
Zadorozhny, Vladimir (2012) Large-scale collective intelligence: from in the way to on the way. In: OTS'2012, June 13-14, 2012, Maribor, Slovenia.
Research Interests
Networked information systems, complex adaptive systems, heterogeneous data fusion, wireless and sensor data management, query optimization in distributed environments, scalable architectures for wide-area environments with heterogeneous information servers.