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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.
My research interests include:
- 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
- Startup Research Fund, Wilfrid Laurier University, 2024-2025
- Nomination for the Governor General Gold Medal (GGGM) Award, Ryerson University, 2019
- Doctoral Completion Award, Ryerson University, 2019
- Graduate Research Development Award, Ryerson University, 2018
- Ontario Graduate Scholarship (OGS), 2016/17/18
- Graduate Research Excellence Award (GREA), Ryerson University, 2014/15/16/17
Graduate Student Opportunity
Currently I am accepting talented domestic graduate students for the Thesis-Based Master in Applied Computing (MAC) program. If you are interested, kindly send me your CV, transcripts, and statement of purpose to my email at lferdouse@wlu.ca
Successful candidates will have the opportunity to work at the cutting edge of technology, exploring a wide range of topics of mobile communications, non-terrestrial networks, 6G networks, optimization and the application of machine learning, reinforcement learning, and deep learning in communication systems and industrial Internet of things applications.
Current Students:
Mehak Basharat (Research Associate): received her PhD in Electrical and Computer Engineering from Toronto Metropolitan University (TMU) (previously known as Ryerson University) in 2023. She also completed her Master's in Electrical and Computer Engineering from TMU in 2017. Before that, she obtained her Bachelor's degree in Telecommunication Engineering from the National University of Computer & Emerging Sciences in Islamabad, Pakistan, in 2009. Her research interests are focused on the Internet of Things (IoT) and energy harvesting in 5G and beyond networks.
Habibur Rahaman (Master Thesis )
Thesis/project title: To be decided
Mashiwat Tabassum Waishy (Master Thesis )
Thesis/project title: To be decided
Chandana Thirunagari (Master Project)
Project Title: Leveraging Machine Learning Algorithms in Video Surveillance Systems for Crime Detection
Project Duration: May, 2024 - August,2024
Former Students:
Qusai Onali (Master Project)
Project Title: Data Augmentation with Generative Adversarial Networks for CNNs
Project Duration: Sep, 2023 - Dec, 2023
Smit Anilkumar Panchal( Master Project)
Project Title: Comparative Analysis of ARIMA and LSTM Models for Stock Price Prediction
Project Duration:Sep, 2023 - Dec, 2023
L. Ferdouse, I. Woungang, A. Anpalagan and K. Yamamoto, "A Resource Allocation Policy for Downlink Communication in Distributed IRS Aided Multiple-Input Single-Output Systems," in IEEE Transactions on Communications, Feb. 2023
L.Ferdouse,A.S. Khwaja,A.Anpalagan,etc.,"Resource Allocation and User Assignment Schemes in Cellular Sipported Industrial IoT Networks", Transaction of Emerging Telecommunications Technologies, 34(6),2023.
S. Taimoor, L. Ferdouse, W. Ejaz, "Holistic resource management in UAV-assisted wireless networks: An optimization perspective," in Journal of Network and Computer Applications, Aug. 2022
L. Ferdouse, I.Woungang, A. Anpalagan and S. Erkucuk, ”Energy Efficient Downlink Resource Allocation in Cellular IoT Supported H-CRANs”, in IEEE Transactions on Vehicular Technology, Jun. 2020.
L. Ferdouse, S. Erkucuk, A. Anpalagan, and I. Woungang, ”Energy efficient SCMA supported downlink Cloud-RANs for 5G networks”, in IEEE Access, vol. 8, pp. 1416-1430, Jan. 2020.
L. Ferdouse, A. Anpalagan, and S. Erkucuk, ”Joint communication and computing resource allocation in 5G cloud radio access networks”, in IEEE Transactions on Vehicular Technology, vol. 68, no. 9, pp. 9122-9135, Jan. 2019.
L. Ferdouse, A. Anpalagan, and M. Nadarajah, "Performance of Dynamic Access Class Barring Method in Cellular M2M Networks" , Springer, Wireless Personal Communications, pp.1-17,2016.
L. Ferdouse, A.Anpalagan, A.Misra,"Congestion and Overload Control Techniques in Massive M2M Systems: A Survey." Wiley, Transactions on Emerging Telecommunications Technologies, Mar 2015.
L. Ferdouse, A.Anpalagan, " Relay Selection Based on Bayesian Decision Theory in Cooperative Wireless Networks", IEEE Canadian Journal of Electrical and Computer Engineering, vol. 38, no. 2,pp.116-124, May 2015.
L. Ferdouse, O.Das and A. Anpalagan, "Auction based Distributed Resource Allocation for Delay Aware OFDM based Cloud-RAN System ", IEEE Globecom, Singapore, Dec. 2017.
L. Ferdouse, A. Noman, A. Bulzacki and A. Anpalagan, "Energy Efficient Multiple Association in CoMP based 5G Cloud-RAN Systems", IEEE 85th Vehicular Technology Conference: VTC2017-Fall, Toronto, Canada, Sep. 2017.
L. Ferdouse, W. Ejaz, A. Anpalagan and A. M. Khattak, "Joint Workload Scheduling and BBU Allocation in Cloud-RAN for 5G Networks," The 32nd ACM Symposium on Applied Computing, Marrakesh, Morocco, Apr. 2017.
L. Ferdouse and A. Anpalagan, "A dynamic access class barring scheme to balance massive access requests among base stations over the cellular M2M networks " in Proc. of IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Hong Kong, pp. 1283-1288, Sep. 2015.
- CP414: Foundations of Computing
- CP460: Applied Cryptography
- CP322: Machine Learning
- CP372: Computer Networks
- CP104: Introduction to Programming
- CP680: Capstone Project
Contact Info:
Office location: N2079, Science Building
Office hours: Monday and Wednesday, 11:30 a.m. to 1:30 p.m. or by appointment.