UNIVERSITY OF WISCONSIN River Falls
Department Chair - Computer Science and Information Systems, Professor - College of Business and Economics
member of graduate faculty
Start Year: 1990
Computer, Information, and Data Sciences
Office: 23a South Hall
Ph.D. University of Minnesota, Minneapolis, MN, Electrical Engineering, 1991
M.S. University of Minnesota, Minneapolis, MN, Electrical Engineering, 1987
B.S. University of Minnesota, Minneapolis, MN, Electrical Engineering, 1984
Dr. Najafi enjoys teaching courses in artificial intelligence, machine learning, computer programming, computer networks, computer organization and web development.
Dr. Najafi's main area of research is in Machine Learning and its application to real-world problems, such as Data Modeling, Data Mining, Control Systems, Risk Management, Coding and Network Traffic Profiling
Pekar, V., Binner, J., Najafi, H. L. (2019). Early Detection of Heterogeneous Disaster Events Using Social Media. Journal of the Association for Information Science and Technology.
Najafi, H. L., Miller, D. W. (2018). Predicting Motion Picture Box Office Performance Using Temporal Tweet Patterns. International Journal of Intelligent Computing and Cybernetics, 11(1), 64-80.
Najafi, H. L., Miller, D. W. (2017). Assessing Alternative Methods For Predicting Box Office Success Using Tweets. Journal of Advancement in Applied Business Research, VI(1), 26-38.
Najafi, H., Miller, D. W. (2016). Predicting long-term box office performance of movies using social media and its comparison with traditional survey methods. International Journal of Research and Reviews in Applied Sciences, 26(3), 17.
Najafi, H., Miller, D. W. (2015). Comparing Analysis of Social Media Content with Traditional Survey Methods of Predicting Opening Night Box Office Revenues for Motion Pictures. Journal of Digital & Social Media Marketing, 3(3), 262-278.
2012: University of Wisconsin-River Falls Compass Award - Leading by Example
2011: Emerald Literati Network Award for Excellence in Research.