Nazim Choudhury
Assistant Professor
STEM 204
Computer Science
Dr. Nazim Choudhury is an Assistant Professor of Computer Science at UW-Green Bay. Before joining UW-Green Bay, he worked as a postdoctoral research fellow in the dept. of computer science & engineering at the University of South Florida (USF). As a member of distributed systems group (DSG) at USF he worked on the DARPA funded “SocialSim” project where he was engaged in develop innovative technologies for high-fidelity computational simulation of online social behavior.
Dr. Choudhury achieved his PhD degree from the University of Sydney, Australia. He has a Master degree in Engineering studies and a Graduate diploma in Internetworking from the University of Technology, Sydney. Before pursuing his PhD degree, he worked as a software developer to develop software for the hospitality industry and as technical solution consultant at Telstra (formerly known as Telecom Australia).
Dr. Choudhury’s research interests include social cyber security, social network analyses, human computer interaction, data mining and machine learning. His research projects focus on mis/disinformation campaign, influence operations, advanced persistent manipulation (APM) and information diffusion on social media. He is an professional member of both IEEE and ACM and published his research and scholarly contribution in reputed journals and conferences.
Dr. Choudhury achieved his PhD degree from the University of Sydney, Australia. He has a Master degree in Engineering studies and a Graduate diploma in Internetworking from the University of Technology, Sydney. Before pursuing his PhD degree, he worked as a software developer to develop software for the hospitality industry and as technical solution consultant at Telstra (formerly known as Telecom Australia).
Dr. Choudhury’s research interests include social cyber security, social network analyses, human computer interaction, data mining and machine learning. His research projects focus on mis/disinformation campaign, influence operations, advanced persistent manipulation (APM) and information diffusion on social media. He is an professional member of both IEEE and ACM and published his research and scholarly contribution in reputed journals and conferences.