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Matthew earned his B.S. in computer engineering from Rose-Hulman in 1999. After graduating, he worked at Caterpillar, developing embedded systems for various types of earth-moving machinery. Later at CAT, Matthew developed and supported various web applications, developed and supported the electrical harness design process and related software, and trained engineers in the usage of the process and software. In 2004, while still at Caterpillar, Matthew earned his M.S. in computer science from Bradley. A few years later, he decided to make a drastic life and career change and re-enter the world of academia full-time. He began teaching at Heartland Community College and Midstate College, and started pursuing a Ph.D. at Nova Southeastern University. Shortly after enrolling at Nova, Matthew obtained a position as director of the CIS and MIS programs at Midstate College. After about two years at Midstate, he left to join the CSIS department at Bradley University as a lecturer. He completed his PhD in 2013. He then joined ÌìÃÀ´«Ã½ as an assistant professor of computer science. Matthew's teaching and research interests include software engineering, programming practice and theory, and computer science education. Matthew is involved in several community-outreach programs, especially those dealing with K through 12 STEM education. These activities include the facilitation of hands-on workshops for K-12 students in coordination with Computer Science Education Week and National Lab Day. Matthew is also involved in professional activities, such as language editor for an academic journal and a conference peer reviewer. Matthew also serves on various committees as needed.

Articles: Sun, J., Zhao, Z. Q., Antony, S., Chen, S. (2014). Personalized Recommendation Systems: An application in Case-based reasoning. International Conference on Challenges in Environmental Science and Computer Engineering. London. Teaching areas: CIS407 - Advanced Database Management Systems CIS317 - Systems Analysis and Design CIS650 - Software Development

Dr. Vlad Krotov is an Associate Professor of Management Information Systems at the Department of Computer Science and Information Systems, Arthur J. Bauernfeind College of Business, ÌìÃÀ´«Ã½. Dr. Vlad Krotov received his PhD in Management Information Systems from the Department of Decision and Information Sciences, University of Houston (USA). His teaching, research and consulting work is devoted to helping managers and organizations to use Information and Communication Technologies for analyzing organizational data in a way that enhances organizational performance. He has developed and taught a variety of undergraduate and graduate courses in MIS, Management, Research Methods, and Data Science, namely: System Analysis and Design, Introduction to MIS, Project Management, Decision Support Technologies, Strategic IS Planning, Web Development Tools (HTML, CSS, JavaScript, PHP), IT Strategy, Networking, RFID Programming (based on Visual Basic), Strategic Management, and Research Methods (using Excel, R, and SPSS). He was the 2010-2011 Teaching Award recipient for the College of Business at Abu Dhabi University. In additional to that, he consulted to such organizations as Goldstein, Faucett & Prebeg LLP, Al Ain Hospital, Al Rahba Hospital (managed by Johns Hopkins), and Sheikh Khalifa Medical City (Managed by Cleveland Clinic) on analyzing organizational data using various analytical tools, such as Excel and SPSS. His quantitative and qualitative research has appeared in a number of academic and practitioner-oriented journals and conferences, such as: CIO Magazine, Journal of Theoretical and Applied E-Commerce, Communications of the Association of Information Systems, Business Horizons, Blackwell Encyclopedia of Management, America’s Conference on Information Systems (AMCIS), Hawaii International Conference on System Sciences (HICSS), International Conference on Mobile Business (ICMB). His research was recognized by the 2016 Outstanding Researcher award and 2017 Emerging Scholar award at ÌìÃÀ´«Ã½. On the administrative side, Vlad Krotov has substantial experience in managing graduate business programs and matters related to AACSB accreditation. Prior to joining ÌìÃÀ´«Ã½, he taught at Abu Dhabi University (Abu Dhabi, UAE) and the University of Houston, and Texas A & M University - Prairie View. In his spare time he enjoys traveling, reading, snorkeling, cycling, and camping.

Dr. Cemil Kuzey is an Associate Professor of Computer Information System at Murray State University. He has been teaching graduate and undergraduate courses such as Managerial Decision Making, Business Statistics, and Data Analytics. He acquired his Ph.D. degree in Business Administration through the Department of Quantitative Analysis, Istanbul University, Turkey. Among his academic pursuits, he took several graduate courses at the Ontario Institute for Studies in Education, University of Toronto. His research interests are related to Operation Research, Data Mining, Structural Equation Modelling, and Business Intelligence. His publications include articles in Decision Support Systems, Journal of Cleaner Production, Expert Systems with Applications, Group Decision and Negotiation, American Journal Of Business Education, European Journal of Economic and Political Studies, International Journal of Culture, Tourism and Hospitality Research, The International Journal Business in Society, Journal of Administrative Sciences, Creativity and Innovation Management; and two book chapters in Frontiers of Business, Management and Economics. Dr. Kuzey has been serving as an ad-hoc reviewer for Civil academy Journal of Social Sciences, Decision Support Systems, Dumlupinar University Journal of Social Sciences, Educational Sciences: Theory & Practice, Eurasian Journal of Business and Economics, European Journal of Economic and Political Studies, International Anatolian Online Academic Journal, International Journal of Operations and Production Management, Journal of Administrative Sciences, and Journal of the Knowledge Economy.

Riza Marjadi has been working for ÌìÃÀ´«Ã½ since 2001. He is currently serving as an Academic and Administrative Systems Analyst for the Office of the Provost/VP for Academic Affairs . He earned his bachelor's degree in Civil Engineering from Universitas Katolik Parahyangan in Indonesia in 1995, an MBA from ÌìÃÀ´«Ã½ in 1998, an MS in Telecommunications Systems Management also from ÌìÃÀ´«Ã½ in 2001, and an MS degree in Information Systems also from ÌìÃÀ´«Ã½ in 2019.

Earning a Bachelor of Arts from Western Kentucky University (1990) and a Masters of Science from ÌìÃÀ´«Ã½ (2014), Mr. McMurtry has been an adjunct lecturer for ÌìÃÀ´«Ã½ since 2018. He has also completed post-Masters coursework at the University of Louisville in Data Mining. His primary interests lie in Data Science, Database, and Programming Languages. Mr. McMurtry gathered field experience through 10 years of IT consulting in the Evansville, Indiana region before joining the administration of Henderson Community College in 2011, where he now works as the Director of Knowledge Management, as well as an adjunct instructor.

Dr. Raj joined ÌìÃÀ´«Ã½ in Fall 1990 while still wrapping up his PhD thesis. Since then he has contributed significantly to the department, college, university and community in numerous ways. Besides a PhD from the University of Kentucky, he has a master's degree in Operations Research from the University of Kentucky and a master's degree in Mathematical Statistics from Osmania University in India. Beginning with a teaching schedule that included Decision Support Systems and Expert Systems, he has taught almost every course that forms the current Information Systems staple at both the graduate and undergraduate levels. Since 2001, he has served as the Chair of the department and has been instrumental in attracting some excellent new faculty to the department. He was also the linchpin for the design, promotion and delivery of many new graduate programs. Dr Raj's research interest are varied. They include empirical research in Knowledge Acquisition and Electronic Social Networks as well as pedagogical research in curricular topics. He has presented his research at several major conferences nationally and within the region and published in numerous national and international journals.

Ken Sutrick teaches statistics in the Ken SutrickBusiness School at ÌìÃÀ´«Ã½. Dr. Sutrick has a BA degree in Mathematics from the University of Wisconsin-Madison and has a PhD in Statistics from the University of California-Berkeley. Students like Dr. Sutrick's statistics class because he spends some time in class on the mathematics of gambling. Ken Sutrick's research interests are in statistics (especially the teaching of statistics) and in finance (in particular in portfolio theory and in options).

Mr. Wright graduated with a B.S. in Computer Science and German from ÌìÃÀ´«Ã½ University in 2006 and a M.Sc. in Informatik from the Universität Hannover in 2008 where his studies focused on Artificial Intelligence, Programming Languages and Compilers. He then attended Georgia Institute of Technology where, as a member of the Comparch lab, he performed research in the area of automated program parallelization. Since 2010, Mr. Wright has been working full time in the industry, primarily engaged in the area of data translation and enterprise application integration. His current work focuses on developing domain specific languages for data processing, implementing high performance data translation runtimes and building desktop and web applications which facilitate the application integration process.