University of Minnesota
University of Delaware
Indian Institute of Technology
Professor Dhaniyala's research interests are in developing techniques for accurate characterization of airborne particle properties and understanding the fate of aerosol particles in the environment.
Some of his current funded research projects include: measurement of physical properties of aerosol particles from airborne platforms; fast measurements of aerosol hygroscopicity, development of novel aerosol sensors for large spatial-scale measurements, characterization of filter performance under low-pressure, and fundamental studies of particle resuspension from non-smooth surfaces.
Funding sources for these research projects include: NSF, NASA, NYSERDA, Pall Inc., and DTRA.
1. Zhao, G., Chen,Y., Hopke, P. K., Holsen, T. M., & Dhaniyala, S. (2017). Characteristics of Traffic-Induced Fugitive Dust from Unpaved Roads. Aerosol Science and Technology, 2017.
2. Peterson, P. K., Pöhler, D., Sihler, H., Zielcke, J., General, S., Frieß, U., Platt, U., Simpson, W. R., Nghiem, S. V., Shepson, P.B., Stirm, B. H., Dhaniyala, S., Wagner, T., Caulton, D. R., Fuentes, J. D., and Pratt, K. A.: Observations of bromine monoxide transport in the Arctic sustained on aerosol particles, Atmos. Chem. Phys., 17, 7567-7579, https://doi.org/10.5194/acp-17-7567-2017, 2017.
3. Kesavan J., Humphreys P., Nasr B., Ahmadi G., Knox C.K., Valdes E., Rastogi V., and Dhaniyala S., Experimental and computational study of reaerosolization of 1 to 5 mm PSL microspheres using jet impingement, Aerosol Science and Technology, Vol. 51, Iss. 3, 2017.
4. Sajjadi, B. Tavakoli, G. Ahmadi, S. Dhaniyala, T. Harner, T. M. Holsen, Computational fluid dynamics (CFD) simulation of a newly designed passive particle sampler, Environmental Pollution, 214:410-418, July 2016.
5. He M., Dhaniyala S., and M. Wagner, Characterization of filter performance under low-pressure operation, Aerosol Science andTechnology, 50.5:417-428, 2016.
6. DeMott, Paul J., et al. Sea spray aerosol as a unique source of ice nucleating particles. Proceedings of the National Academy of Sciences, Volume: 113, Issue: 21, Pages: 5797-5803, 2016.
7. Zhao G., Holsen, T, and Dhaniyala, S., Sampling Performance of a Large Particle Inlet (LPI) for Ground-based Studies: Wind-tunnel Experiments and Numerical Simulations, Journal of Aerosol Science, 10.1016/j.jaerosci.2015.08.006, September 2015.
8. He M., S. Dhaniyala, and M. Wagner. "Aerosol Filtration with Mobility-Classified Particles: Role of Multiply Charged Particles in Skewing Penetration Measurements." Aerosol Science and Technology 49.9: 705-716, 2015.
9. Craig, L., Moharreri, A., Rogers, D.C., Anderson, B., Dhaniyala, S., Aircraft-based Aerosol Sampling in Clouds: Performance Characterization of Flow-Restriction Aerosol Inlets, Journal of Atmospheric and Oceanic Technology, 31, 2512–2521, 2014.
10. Moharreri, A.,Craig, L., Rogers, D.C., Dhaniyala, S., Aircraft Testing of the New Blunt-body Aerosol Sampler (BASE), Atmospheric Measurement Techniques, 7,3085-3093, 2014