Taoseef Ishtiak

4 papers and 234 indexed citations i.

Taoseef Ishtiak is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Taoseef Ishtiak has authored 4 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Electrical and Electronic Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Taoseef Ishtiak’s work include Advanced Neural Network Applications (1 paper), COVID-19 diagnosis using AI (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Taoseef Ishtiak is often cited by papers focused on Advanced Neural Network Applications (1 paper), COVID-19 diagnosis using AI (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Taoseef Ishtiak collaborates with scholars based in Bangladesh, Canada and Saudi Arabia. Taoseef Ishtiak's co-authors include A. B. M. Shawkat Ali, Amir H. Gandomi, Nazifa Rafa, M. Mofijur, Shams Forruque Ahmed, Mahtabin Rodela Rozbu, Md. Sakib Bin Alam, Yuhong Guo and Md. Jakariya and has published in prestigious journals such as The Science of The Total Environment, Artificial Intelligence Review and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).