Ali Intizar

CONTACT INFO:

SUMMARY

► Assistant Professor, Dublin City University (2020-)
► Adjunt Lecture, National University of Ireland Galway (2015-)
► Senior Research Fellow & Resarch Unit Leader, Data Science Institute, NUI Galway (2012-2020)

ABOUT ALI

Dr. Ali Intizar is Assistant Professor in the School of Electronic and Computer Engineering, Dublin City University. His research interests include Internet of Things (IoT), Real-time Data Analytics, Machine Learning and AI for IoT, Edge Computingt and Semantic Knowledge Graphs. He is actively involved in various nationally and internationally funded research projects aimed at providing IoT-enabled adaptive intelligence for various domains including smart cities, smart buildings, smart farming and Industry 4.0. Dr. Ali Intizar obtained his Ph.D. (with distinction) from Vienna University of Technology, Austria in 2011.

RESEARCH INTERESTS

Edge Computing

hardware and software processing …

Machine Learning

Machine learning at the edge

Network Infrastructure

The hardware, software and protocols …

Selected Publications

• Z. Shamszaman and M. Ali, "Enabling cognitive contributory societies using SIoT:: QoS aware real-time virtual object management", Journal of Parallel and Distributed Computing, vol. 123, pp. 61-68, 2019.
• R. Sahal, J. Breslin and M. Ali, "Big data and stream processing platforms for industry 4.0 requirements mapping for a predictive maintenance use case", Journal of manufacturing systems, vol. 54, pp. 138-151, 2020.
• P. Patel, M. Ali and A. Sheth, "On using the intelligent edge for IoT analytics", IEEE Intelligent Systems, vol. 32, pp. 64-69, 2018.
• C. Briciu-Burghina, J. Zhou, M. Ali and F. Regan, "Demonstrating the potential of a low-cost soil moisture sensor network", Sensors, vol. 22, pp. 987, no. 3, 2022.
• B. Sudharsan, J. Breslin and M. Ali, "Ml-MCU: A framework to train ML classifiers on MCU-based IoT edge devices", IEEE Internet of Things Journal, 2021.