Md Mahbubul Huq M H Riad

Md Mahbubul Huq M H Riad, PHD

Postdoctoral Associate

Business Phone: (352) 273-9188
Business Email:

About Md Mahbubul Huq M H Riad

Dr. Riad is a Postdoctoral Associate of the Department of Environmental and Global Health and a member of the Center for Environmental and Human Toxicology. He received his Ph.D. in Electrical and Computer Engineering from the Kansas State University. Before joining the University of Florida, Dr. Riad was a Postdoctoral Fellow at the Institute of Computational Comparative Medicine at Kansas State University.

Dr. Riad’s doctoral training was in computational modeling, focusing on developing infectious disease models using a network-based approach to assess the risk of spatiotemporal disease transmission. Dr. Riad has developed risk assessment models for infectious diseases such as Ebola, COVID-19, dengue, Rift valley fever, and Japanese encephalitis. Dr. Riad’s current research program studied the development of Physiologically based pharmacokinetic (PBPK) modeling and applied the model to food safety. His research has been recognized by the Society of Toxicology (SOT) and received the Andersen-Clewell Trainee Award of the Biological Modeling Specialty Section (BMSS).

Dr. Riad’s current study developed an interactive physiologically Based Pharmacokinetic (iPBPK) Model for Predicting Florfenicol and Florfenicol Amine Residue in Edible Tissues Estimating Withdrawal Intervals in Market-Age Sheep and Goats.


Andersen-Clewell Trainee Award
2021 · Biological Modeling Specialty Section (BMSS), Society of Toxicology

Research Profile

Dr. Riad’s study provides a means to identify the safe withdrawal times before slaughtering to ensure food safety without resorting to animal testing. These goals are accomplished by developing physiologically based pharmacokinetic (PBPK) modeling and developing interactive iPBPK web interfaces. Currently, his research is invested in estimating the withdrawal intervals for Florfenicol and Florfenicol Amine in sheep and goats.

Open Researcher and Contributor ID (ORCID)


Areas of Interest
  • Computational biology
  • Network science


Development and Application of an interactive Physiologically Based Pharmacokinetic (iPBPK) Model to Predict Oxytetracycline Tissue Distribution and Withdrawal Intervals in Market-Age Sheep and Goats
Toxicological Sciences.
Risk Assessment of Dengue Transmission in Bangladesh Using a Spatiotemporal Network Model and Climate Data
The American journal of tropical medicine and hygiene. 104(4)
Individual-based network model for Rift Valley fever in Kabale District, Uganda
PloS one. 14(3)
Risk assessment of Ebola virus disease spreading in Uganda using a two-layer temporal network
Scientific reports. 9(1)
Short-term forecast and dual state-parameter estimation for Japanese Encephalitis transmission using ensemble Kalman filter
An individual-level network model for a hypothetical outbreak of Japanese encephalitis in the USA
Stochastic environmental research and risk assessment. 31(2)
Estimation of parameters and basic reproductive ratio for japanese encephalitis transmission in the philippines using a sequential monte carlo filter
Biologically informed individual-based network model for Rift Valley fever in the US and evaluation of mitigation strategies
PloS one. 11(9)
Individual-Based Network Model for Rift Valley Fever in Kabale District, Uganda, to Guide Mitigation Measures: A One Health Model
. [DOI] 10.1101/388785.


Doctor of Philosophy
2020 · Kansas State University
Master of Science
2017 · Kansas State University
Bachelor of Engineering
2013 · Bangladesh University of Engineering and Technology

Contact Details

(352) 273-9188