Mohsen Ahmadi

Summary

Mohsen Ahmadi is a researcher in Industrial Engineering at the Urmia University of Technology. He graduated in 2016 from the Urmia University of Technology in Industrial Engineering, Urmia, Iran. He was the first rank student in the university and a member of the national elite foundation of Iran. His research interests are Artificial intelligence including Neural Networks, Machin learning, and soft computing techniques and their applications in healthcare processes. His special expertise areas are within the modeling, image processing, and deep learning. He is one of the reviewers of Scientific Reports–Nature, PLOS One, Applied Soft Computing, Neurocomputing, Computers & Industrial Engineering, Social Indicators Research (SOCI), Applied Economics Letters, Journal of BioMed Research International, and Journal of Soft Computing. He has served as a member of an editorial board member of the American Journal of Artificial Intelligence and an advisory editor for the Scientific Advisory Committee of the Conference "Digital Transformation in Industry: Trends, Management, Strategies" (DTI2020). He received the best award of the reviewer at the Neurocomputing in 2018, top 1% of reviewers in Computer Science, and top 1% of reviewers in Cross-Field in 2019 on Web of Science global reviewer database and He obtained the award of the excellent reviewer on Web of Science. He is also, one of the mentors of the Publons. He also published over 30 papers in journals and conferences.

Adaptive & Self-Organizing Systems Agents & Multi-Agent Systems Algorithms & Analysis of Algorithms Artificial Intelligence Bioengineering Brain-Computer Interface Computational Biology Computational Linguistics Computational Science Computer Networks & Communications Computer Vision Data Mining & Machine Learning Data Science Drugs & Devices Epidemiology Global Health Infectious Diseases Public Health Respiratory Medicine Sensors Statistics Virology Visual Analytics