Profile
Shyam Ranganathan
Mathematical and Statistical Sciences
Assistant Professor
Faculty Scholar, Clemson School of Health Research
864-656-6188
Martin Hall O308 [Office]
Educational Background
PhD, Mathematics (concentration in Applied Math and Statistics), Uppsala University, 2015
MS, Electrical Engineering, University of Notre Dame, 2006
BTech, Electrical Engineering, Indian Institute of Technology-Madras, 2003
Selected Publications
1. Sathe, S., Samak, C., Samak, T., Joglekar, A., Ranganathan, S. and Krovi, V.N.
(2024). Data Driven Vehicle Dynamics System Identi?cation using Gaussian Processes.
SAE Technical Paper (No. 2024-01-2022).
2. Su, Q., Rohila, J., Ranganathan, S., and Karthikeyan, R. (2023). Rice yield and
quality in response to daytime and nighttime temperature increases - a meta-analysis
perspective. Science of the Total Environment, 898, 165256
3. Bardhan, M., Zhang, K., Browning, M.H., Dong, J., Liu, T., Bailey, C., McAnirlin,
O., Hanley, J., Minson, C.T., Mutel, R.L., and Ranganathan, S. (2023). Time
in nature is associated with higher levels of positive mood: Evidence from the 2023
NatureDose™ student survey. Journal of Environmental Psychology, 90, p.102083
4. Browning, M.H., Shin, S., Drong, G., McAnirlin, O., Gagnon, R.J., Ranganathan,
S., Sindelar, K., Hoptman, D., Bratman, G.N., Yuan, S., and Prabhu, V.G. (2023).
Daily exposure to virtual nature reduces symptoms of anxiety in college students.
Nature Scientific reports, 13(1), p.1239.
5. Liang, Q., Ranganathan, S., Wang, K. and Deng, X. (2023). JST-RR model: joint
modeling of ratings and reviews in sentiment-topic prediction. Technometrics, 65(1),
pp.57-69.
6. Kang, X., Ranganathan, S., Kang, L., Gohlke, J. and Deng, X. (2021). Bayesian
auxiliary variable model for birth records data with qualitative and quantitative responses.
Journal of statistical computation and simulation, 91(16), pp.3283-3303.
Swain, R.B. and Ranganathan, S. (2021). Modeling interlinkages between sustainable
development goals using network analysis. World Development, 138, p.105136.
7. Cantin-Garside, K.D., Srinivasan, D., Ranganathan, S., White, S.W. and Nussbaum,
M.A. (2020). Multi-level modeling with nonlinear movement metrics to classify
self-injurious behaviors in autism spectrum disorder. Nature Scienti?c reports,
10(1), p.16699.
8. Queen, R., Dickerson, L., Ranganathan, S. and Schmitt, D. (2020). A novel method
for measuring asymmetry in kinematic and kinetic variables: The normalized symmetry
index. Journal of biomechanics, 99, p.109531.
9. Ulman, S., Ranganathan, S., Queen, R. and Srinivasan, D. (2019). Using gait
variability to predict inter-individual di?erences in learning rate of a novel obstacle
course. Annals of biomedical engineering, 47, pp.1191-1202.
10. Spaiser, V., Hedstrom, P., Ranganathan, S., Jansson, K., Nordvik, M.K. and
Sumpter, D.J. (2018). Identifying complex dynamics in social systems: A new
methodological approach applied to study school segregation. Sociological Methods
and Research, 47(2), pp.103-135.
11. Ranganathan, S. and Bali Swain, R. (2018). Sustainable development and global
emission targets: A dynamical systems approach to aid evidence-based policy making.
Sustainable Development, 26(6), pp.812-821.
12. Dhulipala, S.L., Rodriguez-Marek, A., Ranganathan, S. and Flint, M.M. (2018). A
site-consistent method to quantify su?ciency of alternative IMs in relation to PSDA.
Earthquake Engineering and Structural Dynamics, 47(2), pp.377-396.