M. Hosseini

In-Storage-Psychrophilic-Anaerobic-Digestion (ISPAD) process. Part I: Model Development and Calibration

S. Barrington, C. Mulligan, M. Hosseini, 2015 .

A resilient, robust transformation of healthcare systems to cope with COVID-19 through alternative resources

Niloofar Gilani Larimi, Elham Shaker Ardakani, Maryam Oveysi Nejad, 2022, Omega.

Leveraging machine learning and big data for optimizing medication prescriptions in complex diseases: a case study in diabetes management

Farrokh Alemi, Mahsa Madani Hosseini, Manaf Zargoush, 2020, Journal of Big Data.

Biocement production from silicon-rich plant residues: Perspectives and future potential in Canada

Joann K. Whalen, Yixin Shao, Y. Shao, 2011 .

Leveraging machine learning and big data for optimizing medication prescriptions in complex diseases: a case study in diabetes management

R. Kheirbek, F. Alemi, M. Zargoush, 2020, Journal of Big Data.

Online assessment in a business department during COVID-19: Challenges and practices

N. Ruzgar, Gunawardena Egodawatte, M. Hosseini, 2021, The International Journal of Management Education.

Chelate Agents Enhanced Electrokinetic Remediation for Removal of Lead and Zinc from a Calcareous Soil

G. Savaghebi, M. Farahbakhsh, M. Hosseini, 2022 .

1 CAN URBAN OZONE GENERATION BE MODELED CORRECTLY BASED ON MAJOR GASEOUS ATMOSPHERIC REACTIONS ?

M. Bahri, A. Gholizadeh, M. Hosseini, 2013 .