Michael B. Spring
Associate Professor
701B IS Building
412-624-9429
Institution of highest degree:
PhD, University of Pittsburgh
Research Interests:
E-business and e-markets, web services, web semantics, social networking and collective intelligence; distributed systems, client-server systems, collaborative authoring and information infrastructure; secure coding, e-business security and information assurance; standards and standardization.
Bio:
Michael Spring is an Associate Professor at the School of Information Sciences at the University of Pittsburgh. His research involves the application of technology to the workplace with particular attention distributed systems, collaborative systems, and intelligent agents. He has authored more than 100 articles and book chapters in the areas of distributed systems, collaborative authoring, information technology standardization, and virtual reality.
Spring has led research projects in the areas of on-demand publishing, intelligent text conversion, as well as ontology mapping for semantic web applications, data mining of social web applications, and secure location based services. Recently he has developed a new program in cybersecurity, developed Web sites to support caregivers for traumatically brain injured individuals, individuals with schizophrenia, and individuals with liver, brain, and ovarian cancer.
All Publications:
Recent Publications:
Syn, Sue Yeon and Spring, Michael B (2013) Finding subject terms for classificatory metadata from user-generated social tags. Journal of the American Society of Information Science and Technology, 64 (5). pp. 964-980.
Rotondi, Armando J and Spring, Michael B and Grady, Jonathan P and Simpson, Richard and Luther, J and Abebe, Kaleab Zenebe and Hanusa, Barbara H and Haas, Grethen L (2012) Use of a Fractional Factorial Experiment to Assess the E-healthcare Application Design Needs of Persons With Dual Diagnosis. Journal of Dual Diagnosis, 8 (4). pp. 277-282.
Kush, J.C and Spring, M.B. and Barkand, J. (2012) Advances in the assessment of cognitive skills using computer-based measurement. Behavior Research Methods, 44 (1). pp. 125-134.
