Associate Professor

Bio

Dr. Sujith Samuel Mathew completed his Ph.D. in Computer Science from the University of Adelaide, South Australia. He is an Associate Professor at Zayed University, Dubai, UAE. He is an IT professional with over two decades of experience in academia and industry. His expertise lies in educating the next generation in developing software technologies that bridge the physical and virtual worlds with distributed and mobile systems. His research interests are in distributed and mobile computing, focusing on the Internet of Things (IoT) and related smart city applications.

Office

Dubai Knowledge Village, F-L2-025

Phone:

+971 4 402 1435

Email:

Teaching Areas

Internet of Things, Distributed Computing, Mobile Computing, and Smart City Applications

Research and Professional Activities

Hayawi, K., Saha, S., Masud, M. M., Mathew, S. S., & Kaosar, M. (2023). Social media bot detection with deep learning methods: a systematic review. Neural Computing and Applications, 35(12), 8903-8918.

Mathew, S. S. (2022). U.S. Patent No. 11,537,979. Washington, DC: U.S. Patent and Trademark Office.

Mathew, S. S., Hayawi, K., Dawit, N. A., Taleb, I., & Trabelsi, Z. (2022). Integration of blockchain and collaborative intrusion detection for secure data transactions in industrial IoT: a survey. Cluster Computing, 25(6), 4129-4149.

Hayawi, K., Mathew, S.S., Venugopal, N., Masud, M. M., & Ho, P. H. (2022). DeeProBot: a hybrid deep neural network model for social bot detection based on user profile data. Social Network Analysis and Mining, 12(1), 43.

Mathew, S. S., El Barachi, M., & Kuhail, M. A. (2022). CrowdPower: A Novel Crowdsensing-as-a-Service Platform for Real-Time Incident Reporting. Applied Sciences, 12(21), 11156.