Srikanth Mudigonda, Ph.D.
Associate Dean of Academic Affairs
Director of Analytics ; Associate Professor, Computer Information Systems
Education
Ph.D. Business Administration with an emphasis in Information Systems, University
of Missouri-Saint 浪花直播
M.S. Information Systems with a specialization in Data Management, Dakota State University
M.Sc. (Hons.) Biological Sciences; Master of Management Studies, Birla Institute of
Technology and Science in Pilani, India
Practice Areas
Machine/Statistical learning/modeling; agent-based modeling; computer science education; data analysis/science education
浪花直播 Interests
Modeling the emergence of social phenomena; teaching/learning methodologies for education in computing
Publications and Media Placements
Mudigonda, S, N煤帽ez-Corrales, S., Venkatachalapathy, R., and Graham, J (2021). Scheduler
Dependencies in Agent-Based Models: A case-study using a contagion model, Proceedings
of the Computational Social Sciences Society of the Americas, 2020 Virtual Conference.
N煤帽ez-Corrales, S, Friesen, M., Mudigonda, S, Venkatachalapathy, R and Graham, J (2020).
In-Silico Models with Greater Fidelity to Social Processes: Towards ABM Platforms
with Realistic Concurrency, Proceedings of the Computational Social Sciences Society
of the Americas, 2020 Virtual Conference.
Mudigonda, S. and Friesen, M. (2019). Social Primitives: Exploring Spark of Life Collective
Behavior in Agent-Based Models, Proceedings of the Computational Social Sciences Society
of the Americas, 2019 Conference, Santa Fe, NM.
Friesen, M. and Mudigonda, S. (2018). Institutional Emergence and the Persistence
of Inequality in Hamilton, ON 1851-1861, Proceedings of the Computational Social Sciences
Society of the Americas, 2018 Conference, Santa Fe, NM.
Lyons, J., and Mudigonda, S. (2015).鈥漈he Diffusion of Innovation: Bringing Military
Technology from the battlefield to the Local Police.鈥� Presentation at the Midwest
International Studies Association Conference, Nov 22 鈥� 25, St. 浪花直播, MO. [note that
this was a presentation, with no accompanying publication of papers in a proceedings
format].
Mudigonda, S., Subramanian, A. and Nilakanta, S. (2007). 鈥淓volution of Open-Source
Software Projects: An Exploratory Investigation,鈥� Proceedings of the International
Symposium of Information Systems, Hyderabad, India.
Mudigonda, S., Kang S.B., and Mano, H. (2006). 鈥淭he Moderating Influence of Personality
and Situational Variables on the Effect of Recommendation Agents on Perceived Decision
Quality and Perceived Information Quality,鈥� Proceedings of the Americas' Conference
on Information Systems, Acapulco, Mexico
Joshi, K., Palvia, S., and Mudigonda, S. (2005). 鈥淎n Analysis of India鈥檚 Future Attractiveness
as an Offshore Destination for IT and ITeS,鈥� Fourth Annual International Outsourcing
Conference, Washington DC
Mueller, E. D., Sandoval, J. O., Mudigonda, S. P., & Elliott, M. (2019). Extending
cluster-based ensemble learning through synthetic population generation for modeling
disparities in health insurance coverage across Missouri. Journal of Computational
Social Science, 1-21.
Mueller, E., Sandoval, J., Mudigonda, S., & Elliott, M. (2019). A Cluster-Based Machine
Learning Ensemble Approach for Geospatial Data: Estimation of Health Insurance Status
in Missouri. ISPRS International Journal of Geo-Information, 8(1), 13.
Grawitch, M. J., Winton, S. L., Mudigonda, S. P., Buerck, J. P. (2017). Technology
Is More Than Just Error.
Industrial and Organizational Psychology, 10 (4), 654-659.
Buerck, J.P., and Mudigonda, S. P (2014). "A Resource鈥怌onstrained Approach to Implementing
Analytics in an Institution of Higher Education: An Experience Report." Journal of
Learning Analytics, 1(1), 129 - 139.
Buerck, J.P., Mudigonda, S. P, Mooshegian, S.E., Collins, K., Grimm, N. A., Bonney,
K, and Kombrink, H (2013). "Predicting Non-Traditional Student Learning Outcomes Using
Data Analytics - A Pilot Study", Journal of Computing Sciences in Colleges, 28(5),
260 - 265.
Mudigonda, S., and Buerck, J. (2012). 鈥淭he Design of An Undergraduate Web Application
Development Course Using Free Technologies and Learning Materials,鈥� Journal of Computing
Sciences in Colleges, 27(5), 131-139.
Sauter, V.L., Mudigonda, S., and Subramanian, A. (2011). 鈥淰isualization-Based Decision
Support Systems: An Example of Regional Relationship Data,鈥� International Journal
of Decision Support System Technology, 3(1), 1- 20.
Joshi, K., and Mudigonda, S. (2008). "An Analysis of India's Future Attractiveness
as An Offshore Destination for IT and IT-Enabled Services," Journal of Information
Technology, 23(4), 215 鈥� 227.
Honors and Awards
Faculty Excellence Award, School for Professional Studies, Saint 浪花直播 University:
2020
SLU Student Government Association鈥檚 Faculty Excellence Award, Saint 浪花直播 University:
2017
Faculty Excellence Award, School for Professional Studies, Saint 浪花直播 University:
2013
Professional Organizations and Associations
Association for Computing Machinery Special Interest Group for Simulation (SIGSIM); Computational Social Science Society of the Americas