About Us

The mission of the Twin Cities ACM Chapter is organize and support events and activities related to computing and its applications in the Twin Cities area, Minnesota, and across the Upper Midwest region.

The Twin Cities ACM Chapter is chartered by the Association of Computing Machinery (ACM) as a professional chapter. We organize annual conferences (such as CADSCOM and CIACAM) that help researchers disseminate their original research in computing related disciplines.

Chapter officers

Dr. Rajeev Bukralia
Chair & Co-founder

Dr. Rajeev Bukralia is a tenured faculty in the Computer Information Science (CIS) department at Minnesota State University, Mankato. Dr. Bukralia serves as the program director for the MS in data science program. He is the faculty founder of and advisor to DREAM (Data Resources for Eager & Analytical Minds), a recognized student organization dedicated to data science and artificial intelligence. He has served on the organizing committee for many scholarly conferences and hackathons including the Midwest Undergraduate Data Analytics Competition (MUDAC). Dr. Bukralia is a recipient of many awards including the Minnesota State Colleges & Universities Board of Trustees Outstanding Educator award and the South Dakota Board of Regents faculty award. His research interests include data science, artificial intelligence (machine learning & deep learning) and IT strategy. He previously served in several leadership positions including CIO and dean at different universities.
Dr. Dalia Sulieman
Vice Chair

Dr. Dalia Sulieman is an Assistant Professor in the Department of Computer Science and Cybersecurity at Metropolitan State University, Saint Paul, Minnesota, USA. She received her PhD in Computer Science from University of Cergy-Pontoise, France. And she received her MS degree in Computer Science and Information Technology from Lille University of Science and Technology, France. Her academic work has been published in a variety of journals and conference proceedings. Her research interests are in Social Networks Analysis, Recommender Systems, and Machine learning.

Dr. Simon Sung Jin

Dr. Simon Sung Jin is an associate professor and department chair of MIS in the College of Management at Metropolitan State University. He earned his doctorate degree from the SUNY at Buffalo, and MS degrees from Korea University and the SUNY at Buffalo. His research interests are in the field of Information Privacy, Business Analytics, and IT innovation Adoption & Implementation. Recently, his interests have merged to information privacy issues in the context of social media focusing on privacy concerns. His academic work has been published in a number of international journals, conferences, and book chapters. Also, he is the recipient of several grants from the University as well as external agencies, including National Research Foundation of Korea, and the Ministry of Trade, Industry & Energy of Korea.

Dr. Ismail Bile Hassan

Dr.  Ismail Bile Hassan is an Associate Professor and Internship Program Director at the Department of Computer Science and Cybersecurity, Metropolitan State University, Saint Paul, Minnesota, USA. He received his PhD in Information System from the Universiti Putra Malaysia and MSc. in Information Technology Management from the University Technology Malaysia in 2017 and 2011 respectively. He has published a journal, book chapters and conference proceedings in the areas of information system, knowledge management and data science. His research interests include e-health adoption, knowledge sharing, data science education, data mining, and e-government.