You can find a full list of my scientific work through Google Scholar and ORCID.
Recent Publications
- R. Jeter*, D. Chamberlain, Jr.* and K. Rozier, “An Integrated Methodology for Assessing Item Discrimination in Mathematics Assessments,” SocArXiv DOI: https://doi.org/10.31235/osf.io/xvh7y. (2024)
- D. Chamberlain, Jr. and R. Jeter, “Leveraging research and technology to make diagnostic multiple-choice assessments possible,” SoCArXiv DOI: https://doi.org/10.31235/osf.io/vzhm7 (2024).
- R. Greenfield*, R. Jeter*, S. N. Housley, and I. Belykh, “Classifying Residual Stroke Severity Using Robotics-Assisted Stroke Rehabilitation: Machine Learning Approach,”JMIR Biomed Eng 2024;9:e56980. DOI: 10.2196/56980 (2024).
- R. Jeter, M. Porfiri, and I. Belykh, “Dynamics and control of stochastically switching networks: beyond fast switching,” Book chapter in Temporal Network Theory 2nd Edition, Eds. P. Holme and J. Saramaki, Computational Social Sciences Series, Springer, pp 275–311 (2023).
- I. Belykh, M. Bocian, A. Champneys, K. Daley, R. Jeter, J. Macdonald, and A. McRobie, “The London Millennium Bridge revisited: Emergent instability without synchronisation,” SIAM News, V. 55, Issue 3, 1-2, (2022)
- I. Belykh, M. Bocian, A. Champneys, K. Daley, R. Jeter, J. Macdonald, and A. McRobie, ”Emergence of the London Millennium Bridge instability without synchronisation,” Nature Communications, V. 12, 7223 (2021). This paper was featured in Nature, V. 600, 573 (2021).
- R. Jeter, L.W. Lehman, C. Josef, S. Shashikumar, S. Nemati, “Learning to Treat Hypotensive Episodes in Sepsis Patients Using a Counterfactual Reasoning Framework,” MedRxiv DOI: 10.1101/2021.03.03.21252863. (2021)
- M. Porfiri, R. Jeter, and I. Belykh, ”Antiresonance in switched systems with only unstable modes,” Physical Review Research, V. 3, L022001 (2021).
- D. Chamberlain Jr.* and R. Jeter*, “Creating diagnostic assessments: Automated distractor generation with integrity,” Journal of Assessment in Higher Education (2019).
- R. Jeter, M. Porfiri, and I. Belykh, “Dynamics and control of stochastically switching networks: beyond fast switching,” Book chapter in Temporal Network Theory, Eds. P. Holme and J. Saramaki, Computational Social Sciences Series, Springer, pp. 269-304 (2019).
- R. Jeter,, C. Josef, S. Shashikumar, S. Nemati, “Does the “ Artificial Intelligence Clinician” learn optimal treatment strategies for sepsis in intensive care?,” arXiv DOI: 10.48550/arXiv.1902.03271. (2019).
- M. Reyna, C. Josef, S. Seyedi, R. Jeter, S. Shashikumar, M. Westover, A. Sharma, S. Nemati, G. Clifford, “Early prediction of sepsis from clinical data: the PhysioNet/Computing in Cardiology Challenge 2019,” (2019). 280+ citations.
- D. Chamberlain Jr.* and R. Jeter*, “Leveraging Cognitive Theory to Create Large- Scale Learning Tools” Proceedings for The XXII Annual Conference on Research on Undergraduate Mathematics Education (2019).
- I. Belykh, D. Carter, and R. Jeter, “Synchronization in multilayer networks: when good links go bad,” SIAM Journal on Applied Dynamical Systems, V. 18, No. 4, pp. 2267-2302 (2019)
- M. Porfiri, R. Jeter, and I. Belykh, “Windows of Opportunity for the Stability of Jump Linear Systems: Almost Sure Versus Moment Convergence,” Automatica, Vol. 100, pp 323–329 (2019)
*Denotes equal contribution. Boldface indicates students advised.