Md Sohel Ahmed

I am a Postdoctoral Associate in the Department of Public and Ecosystem Health at Cornell University. My background is in statistical science, and I have experience in statistical models, machine learning algorithms, testing machine learning code, data structure, and algorithms techniques. Currently, I am working on data-solving techniques to detect wildlife diseases early and reduce their risk. I hold a BSC in Statistics, M.S in Statistics, and Ph.D. in Information Science and Technology.

Prior Selected Publications

2020
Ahmed, M. S., Ishikawa, F., & Sugiyama, M. 2020. Testing Machine Learning Code Using of Polyhedral region. In Proceedings of the 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '20), November 8– 13, 2020, Virtual Event, USA. ACM, New York, NY, USA, 4 pages. 10.1145/3368089.3417043. https://dl.acm.org/doi/pdf/10.1145/3368089.3417043

2019
Ahmed, M. S., & Morita, H. 2019. An Analysis of Essential facilities and Occupancy class for earthquake preparedness in Two Parts of Dhaka City. Int. J. Earthquake and Impact Engineering, 2(4), 339-359. 0.1504/IJEIE.2018.099364. https://www.inderscienceonline.com/doi/abs/10.1504/IJEIE.2018.099364

2018
Ahmed, M. S., & Morita, H. 2018. An Analysis of Housing Structures' Earthquake Vulnerability in Two Parts of Dhaka City. Sustainability, 10:1106. mdpi.com/2071-1050/10/4/1106. https://www.mdpi.com/2071-1050/10/4/1106

Select Publications

2024

Real-time quaking-induced conversion (RT-QuIC) is robust for chronic wasting disease detection in white-tailed deer retropharyngeal lymph nodes. . Darish J, Kaganer A, Hanley B, Schuler K, Schwabenlander M, Wolf T, Ahmed M, Rowden G, Larsen P, Kobashigawa E, Tewari D, Lichtenberg S, Pedersen J, Zhang S, Sreevatsan S. . Journal of Veterinary Diagnostic Investigation.

Predicting chronic wasting disease in white-tailed deer at the county scale using machine learning. . Ahmed M, Hanley B, Mitchell C, Abbott R, Hollingshead N, Booth J, Guinness J, Jennelle C, Hodel F, Gonzalez-Crespo C, Middaugh C, Ballard J, Clemons B, Killmaster C, Harms T, Caudell J, Westrich W, McCallen E, Casey C, O’Brien L, Trudeau J, Stewart C, Car . Scientific Reports

2023

Sample Size for Estimating Disease Prevalence in Free-Ranging Wildlife Populations: A Bayesian Modeling Approach . Booth, James & Hanley, Brenda & Hodel, Florian & Jennelle, Chris & Guinness, Joseph & Them, Cara & Mitchell, Corey & Ahmed, Md & Schuler, Krysten . Journal of Agricultural, Biological, and Environmental Statistics

2022

White-tailed deer (Odocoileus virginianus) may serve as a reservoir for nearly extinct SARS-CoV-2 variants of concern. . Caserta, L., M. Martins, S.L. Butt, N.A. Hollingshead, L.M. Covaleda, S, Ahmed, M. Everts, K.L. Schuler, D.G. Diel. . Proceedings of the Natural Academy of Sciences

Informing Surveillance through the Characterization of Outbreak Potential of Chronic Wasting Disease in White-Tailed Deer . Hanley, B. J., Carstensen, M., Walsh, D. P., Christensen, S. A., Storm, D. J., Booth, J. G., Guinness, J., Them, C. E., Ahmed, M. S., & Schuler, K. . Ecological Modelling

For More Info

Contact Information

msa248@cornell.edu

Projects

Active Projects

Surveillance Optimization Project for Chronic Wasting Disease (SOP4CWD)

Our Surveillance Optimization Project for Chronic Wasting Disease (SOP4CWD) collaboration has developed the CWD Data Warehouse, an online platform for CWD surveillance planning and data management available at no cost to wildlife agencies across North America.

Female mallard duck with clutch of chicks

Waterfowl Contaminant Study

Measuring chemical contaminant loads in waterfowl to assess the health of waterfowl and the potential impact on hunters who consume them.

White-tailed Deer (Odocoileus virginianus), buck

SARS-CoV-2 & White-tailed Deer

Investigating the extent of infection in deer in New York and examining the relationship between environmental variables to ascertain how deer may be exposed and spread the virus to other deer.