Lilatul Ferdouse
Areas of Expertise
- Artificial Intelligence and Machine Learning
- Data Mining
- Mobile Computing and Artificial Reality
- Networks: Cloud, Edge and IoT
Biography
I received my PhD and MASc in Electrical and Computer Engineering from Ryerson University in 2019 and 2015, respectively. Prior to joining Laurier, I was a postdoctoral fellow at DABNEL lab, Computer Science department at Ryerson. I also worked as a research assistant in Computer Science department at Thompson River University in 2020.
In the last few years, I have been working on communication networking aspects of resource management in 5G cloud radio access networks with emphasis on algorithm design, network architecture development, and system-level performance analysis. I, along with my students, colleagues, and supervisors, have designed novel algorithms and communication protocols for Cloud RAN supported IoT networks, that have both (i) enhanced network performance, in terms of spectrum efficiency, coverage, and energy efficiency, and (ii) satisfied a wide range of cellular IoT devices' requirements and constraints.
Research Interests
- Wireless technologies, standards, and protocols for the next generation communication networks (i.e., 5G/6G , Industrial IoT networks (IIoT))
- Resource management in 5G/6G and beyond networks
- Industrial IoT networks
- Software-defined wireless sensor networks
- Machine learning application in next generation communication networks