Donghyuk Shin

Assistant Professor
Faculty
TEMPE Campus
Mailcode
4606

Biography

Donghyuk Shin is an assistant professor in the Department of Information Systems at the W. P. Carey School of Business, Arizona State University. His research interest lies at the intersection of machine learning and information systems focusing on leveraging ML to solve business problems and applications. Prior to joining ASU, he was a machine learning scientist at Amazon. Donghyuk obtained his Ph.D. in Computer Science from the University of Texas at Austin.

Education

  • Ph.D. Computer Science, The University of Texas at Austin 2017

Research Interests

  • Machine Learning, Deep Learning, Social Media, Recommender Systems, Online Platforms, E-Commerce, Online User Behavior

Publications

  • D. Shin, S. He, G. M. Lee, A. B. Whinston, S. Cetintas and K. Lee, "Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach", MIS Quarterly, forthcoming.
  • S. Chung, D. Shin, A. Animesh and K. Han, "Customer Attitude from Social Media, Customer Satisfaction Index, and Firm Value", Conference on Information Systems and Technology (CIST), 2017.
  • D. Shin, S. He, G. M. Lee and A. B. Whinston, "Analyzing Content and Customer Engagement in Social Media with Deep Learning", Conference on Information Systems and Technology (CIST), 2016.
  • D. Shin, S. He, G. M. Lee and A. B. Whinston, "Message or Messenger: An Empirical Analysis on Tumblr Reblogging Behavior", Workshop on Information Technologies and Systems (WITS), 2015.
  • D. Shin, S. Cetintas, K. Lee and I. S. Dhillon, "Tumblr Blog Recommendation with Boosted Inductive Matrix Completion", ACM International Conference on Information and Knowledge Management (CIKM), 2015.
  • S. Si, D. Shin, I. S. Dhillon and B. N. Parlett, "Multi-Scale Spectral Decomposition of Massive Graphs", Neural Information Processing Systems (NeurIPS), 2014.
  • N. Natarajan, D. Shin and I. S. Dhillon, "Which App Will You Use Next? Collaborative Filtering with Interactional Context", ACM Conference on Recommender Systems (RecSys), 2013.
  • D. Shin, S. Si, I. S. Dhillon, "Multi-Scale Link Prediction", ACM International Conference on Information and Knowledge Management (CIKM), 2012.

Courses

Spring 2020
Course NumberCourse Title
CIS 325Programming for Bus Analytics

Industry Positions

  • Machine Learning Scientist, Amazon, 2016–2019