College of Business and Economics
Upham Hall

AMIN Vahedian
Assistant Professor

  • Office Location: Timothy J Hyland Hall 3301
  • Phone: (262) 472-1322
  • Email: vahediaa@uww.edu
  • Department(s): IT SUPPLY CHAIN MANAGEMENT
Ph.D.
Business Analytics
The University of Iowa
2019
Master of Science
Management Information Systems
K. N. Toosi University of Technology
2013
Bachelor of Engineering
Information Technology
University of Tabriz
2011

Forecasting Gathering Events through Trajectory Destination Prediction: a Dynamic Hybrid Model
IEEE Transactions on Knowledge and Data Engineering
Optimizing Taxi Driver Profit Efficiency: A Spatial Network-based Markov Decision Process Approach
IEEE Transactions on Big Data
A traffic flow approach to early detection of gathering events: Comprehensive results
ACM Transactions on Intelligent Systems and Technology (TIST)
Vol. 8 Iss. 6 Pg. 74

Forecasting Gathering Events through Trajectory Destination Prediction: a Dynamic Hybrid Model
IEEE Transactions on Knowledge and Data Engineering
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data
Optimizing Taxi Driver Profit Efficiency: A Spatial Network-based Markov Decision Process Approach
IEEE Transactions on Big Data
Predicting Traffic Congestion Propagation Patterns: A Propagation Graph Approach.
Pg. 60--69
Understanding business location choice pattern: A co-location analysis on urban poi data
A traffic flow approach to early detection of gathering events: Comprehensive results
ACM Transactions on Intelligent Systems and Technology (TIST)
Vol. 8 Iss. 6 Pg. 74
Forecasting gathering events through continuous destination prediction on big trajectory data
Pg. 34
A traffic flow approach to early detection of gathering events
Pg. 4
A new model for discovering process trees from event logs
Applied intelligence
Vol. 41 Iss. 3 Pg. 725--735

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