Faculty and Staff

Computer Science / Information Systems

Behind every student success there is a dedicated team of faculty and staff. Click the arrow for more information on our own. 

Victor Raj, PhD; Professor of Information Systems; Department Chair

Email: vraj@murraystate.edu  
Phone: 270-809-6214

Victor Raj

Dr. Raj joined Murray State 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.

 ResearchGoogle Scholar Profile

Amy Sanders; Administrative Assistant I

Emailmsu.csis@murraystate.edu Amy Crosier
Phone: 270-809-2094 &  270-809-2095
Fax: 270-809-3199


Solomon Antony, PhD; Associate Professor in Information Systems

Email: santony@murraystate.edu Solomon Antony

  • 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

Research: Google Scholar Profile

Marc Beck, PhD; Assistant Professor in Computer Science

Email: mbeck4@murraystate.edu
Phone: 270-809-3037

Marc Beck

 Marc Beck joined the Computer Science faculty at Murray State University in 2015. Dr. Beck received his Bachelor’s degree in Computer Science at Brescia University in Owensboro, Kentucky in 2007 and earned a Master’s in Industrial Technology from Morehead State University in Morehead, Kentucky in 2009. He earned his PhD in Computer Science and Computer Engineering from the University of Louisville in 2015. His teaching experience includes programming practices in Java and Python. Dr. Beck is the faculty advisor of the SciFi  Club. He also supervises various student research projects that include satellite ground station software, a snake robot and an optically linked Beowulf cluster.

ResearchGoogle Scholar Profile

Marcia Combs Ford, PhD;  Assistant Professor in Cybersecurity and Network Management

Phone: 270-809-6218 

Marcia Combs Ford

Dr. Marcia Ford is an Assistant Professor in the Computer Science and Information Systems department. She is the program coordinator for the TSM Graduate program. Other duties include teaching undergraduate and graduate information communication technology and cybersecurity courses in the Cybersecurity and Network Management program. Her research focus is intelligent personal assistants and smart home devices. Additional interests include developing and leading study abroad opportunities for Murray State students. 

Research:  Google Scholar Profile 

Clark Duncan, MS; Lecturer

Email: cduncan2@murraystate.edu Clark Dunkan
Phone: 270-809-4198

Vlad Krotov, PhD; Associate Professor in Cybersecurity and Network Management & Information Systems; ; MSIS Program Director

Email: vkrotov@murraystate.edu
Phone: 270-809-6216

Vlad Krotov

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, Murray State University. 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 Murray State University.

On the administrative side, Vlad Krotov has substantial experience in managing graduate business programs and matters related to AACSB accreditation. Prior to joining MSU, 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.

ResearchGoogle Scholar Profile ResearchGate Profile

Cemil Kuzey, PhD; Associate Professor in Computer Information Systems

Email: ckuzey@murraystate.edu
Phone: 270-809-6212

Cemil KuzeyDr. 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.

Research: Google Scholar Profile  ResearchGate Profile

Riza Marjadi, MS;  Adjunct Lecturer

Riza MarjadiEmail: rmarjadi@murraystate.edu
Phone: 270-809-3158

Riza Marjadi has been working for Murray State University 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 Murray State University in 1998, an MS in Telecommunications Systems  Management also from Murray State University in 2001, and an MS degree in Information Systems also from Murray State University in 2019.

Research:  Google Scholar Profile

Brian McMurtry, MS; Adjunct Lecturer

Brian McMurtryEmail: bmcmurtry1@murraystate.edu
Phone: 270-809-2094

Earning a Bachelor of Arts from Western Kentucky University (1990) and a Masters of Science from Murray State University (2014), Mr. McMurtry has been an adjunct lecturer for Murray State 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.

Research:  Google Scholar Profile

Goutam Mylavarapu, PhD; Assistant Professor in Computer Science & Information Systems

Email: smylavarapu1@murraystate.edu Goutam Mylavarapu
Phone: 270-809-2094

Dr. Goutam Mylavarapu joined Murray State University in Fall 2020 after earning his Ph.D. in Computer Science from Oklahoma State University. He also received a Master's degree in Computer Science from Oklahoma State University in 2015. He completed his Bachelor's in 2012 in the field of Computer Science and Engineering at Jawaharlal Nehru Technological University Hyderabad in India. Dr. Mylavarapu, as a Data Scientist, engaged in developing predictive models to analyze customer purchase and usage patterns for a Real Estate Development company in North Texas.

His teaching experience includes introductory programming languages such as Java and Python, Advanced Operating Systems, Mobile Application Development, Web Programming, Decision Support Technologies, Computer Security, and Software Engineering. He assisted in graduate student advising in the areas of Optimization Methods and Big Data Analytics. 

Dr. Mylavarapu's primary research areas are Data Science, Health Informatics, and Cognitive Computing. His other research interests include the Internet of Things, Big Data Analytics, Privacy & Security. He presented his research at multiple national and international conferences.

He is currently serving as the faculty co-advisor for the ACM Student Chapter at Murray State.

ResearchGoogle Scholar Profile

Shanda Purcell, MBA; Adjunct Lecturer

Email: spurcell@murraystate.edu 
Phone: 270-809-2094
Research:  Google Scholar Profile

Saptarshi 'Sap' Sengupta, PhD; Assistant Professor in Computer Science

Email: ssengupta@murraystate.edu
Phone: 270-809-3982

Saptarshi SenguptaDr. Saptarshi Sengupta is an Assistant Professor of Computer Science at the Department of CSIS in the Arthur J. Bauernfeind College of Business at Murray State University. He earned his Ph.D. and M.S. in Electrical Engineering from Vanderbilt University in Nashville, Tennessee and a B.Tech in Electronics and Communication Engineering from West Bengal University of Technology in Kolkata, India.

Dr. Sengupta is a recipient of the Certificate in College Teaching (CiCT) from the Vanderbilt Center for Teaching. His teaching interests span Machine Learning, Deep Learning, Big Data Analytics, Evolutionary Algorithms and programming languages such as Python, C++, R as well as multi-paradigm numerical computing environments such as MATLAB & Simulink. Dr. Sengupta's research looks at the integration and statistical analyses of machine learning, deep learning and evolutionary paradigms across computational applications in neuroevolution, swarm intelligence and data-driven predictive analytics in simulated and real-world environments. His research recognition includes among others multiple best paper awards at IEEE international conferences and authoring the highest cited article of the journal Machine Learning and Knowledge Extraction.

He is an ad-hoc reviewer for over 20 international journals and a Review Board Member of the multidisciplinary scholarly journal Electronics. Dr. Sengupta is a Member of the IEEE.
Research: Google Scholar Profile

Ramona Smith, MS; Lecturer

Email: rsmith1@murraystate.eduRamona Smith
Phone: 270-809-5402
Research: Google Scholar Profile

Kenneth Sutrick, PhD; Associate Professor in Quantitative Methods

Email: ksutrick@murraystate.edu 
Phone: 270-809-6219

Ken Sutrick teaches statistics in the Ken SutrickBusiness School at Murray State. 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).
Research: Google Scholar Profile

Matthew Tennyson, PhD; Associate Professor in Computer Science

Email: mtennyson@murraystate.edu 
Phone: 270-809-6217

Matthew Tennyson

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 Murray State University 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.

Research: ResearchGate Profile

Philip Wright, MS; Adjunct Lecturer

Email: pwright4@murraystate.edu 
Phone: 270-809-4765

Phillip Wright

Mr. Wright graduated with a B.S. in Computer Science and German from Murray State 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.

Website: Click Here

Research: Google Scholar Profile 

Graduate Assistants

Chen Yang (Linux Webservers Management)
Email: cyang4@murraystate.edu