Abdallah Jarwan made a remarkable accomplishment when he defended his Ph.D. thesis as the thesis was nominated for the Gold Medal. Abdallah was one of the distinctive members of our 杏吧原创 Sensor Systems and Internet of Things Lab and made great achievements during his period with the lab.
Abdallah has defended his Ph.D. thesis (titled by – Data Management for Enhanced Resource Utilization in Internet of Things Systems) in December 2021 and will be graduating in March 2022.聽Abdallah has worked on multiple research topics during his period as a Ph.D. student at 杏吧原创 University.聽His research includes the聽development of data and information management for enhancing the utilization of resources in IoT systems, information-based data routing and reduction, and deep reinforcement learning solutions for IoT network management. He also participated in building a complete IoT testbed solution, where he implemented part of his research algorithms and techniques. His research also includes聽developing simulation environments for wireless networks and more specifically LTE-based public safety networks.聽Abdallah is currently working as a Machine Learning Engineer at Lytica Inc., Ottawa.
He has prepared the following list of publications (listed in chronological order):
[PL1] A. Sabbah, A. Jarwan, O. Issa and M. Ibnkahla, 鈥滶nabling LTE emulation by integrating聽CORE emulator and LTE-EPC network (LENA) simulator,鈥� 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, Quebec, Canada, October 2017, pp. 1-6.
[PL2] I. Al-Shiab, A. Sabbah, A. Jarwan, O. Issa and M. Ibnkahla, 鈥漇imulating large-scale networks for public safety: Parallel and distributed solutions in NS-3,鈥� 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, Quebec, Canada, October 2017, pp. 1-7.
[PL3] A. Sabbah, A. Jarwan, I. Al-Shiab, M. Ibnkahla and M. Wang, 鈥滶mulation of Large-Scale LTE Networks in NS-3 and CORE: A Distributed Approach,鈥� 2018 IEEE Military Communications Conference (MILCOM), Los Angeles, California, USA, October 2018, pp. 1-6.
[PL4] A. Jarwan, A. Sabbah, and M. Ibnkahla, 鈥滿achine Learning in Wireless Sensor Networks for the Internet of Things鈥�, Encyclopedia of Wireless Networks, X. S. Shen, X. Lin, and K. Zhang, Cham, Switzerland: Springer International Publishing, 2018, pp. 1鈥�7.
[PL5] A. Jarwan, A. Sabbah, M. Ibnkahla and O. Issa, 鈥滾TE-Based Public Safety Networks: A Survey,鈥� IEEE Communications Surveys & Tutorials, vol. 21, no. 2, pp. 1165-1187, 2019.
[PL6] A. Jarwan, A. Sabbah and M. Ibnkahla, 鈥滵ata Transmission Reduction Schemes in WSNs for Efficient IoT Systems,鈥� IEEE Journal on Selected Areas in Communications,
vol. 37, no. 6, pp. 1307-1324, 2019.
[PL7] A. Sabbah, A. Jarwan, L. Bonin and M. Ibnkahla, 鈥滱 High-Level Parameter Selection聽Framework for Irregular LTE-Based Mission Critical Networks,鈥� 2019 IEEE聽Wireless Communications and Networking Conference (WCNC), Marrakesh, Morocco,聽April 2019, pp. 1-6.
[PL8] Z. Bouida, I AlShiab, Y. Rafique, A. Jarwan, M. Moorjmalani, S. K. Kuri, and M. Ibnkahla, 鈥澬影稍�-Cisco IoT Testbed: Architecture, Features, and Applications,鈥� 2021 IEEE Globecom Workshops (GC Wkshps), Madrid, Spain, December 2021.
[PL9] A. Jarwan, A. Sabbah and M. Ibnkahla, 鈥滻nformation-Oriented Tra
c Management for Energy-Efficient and Loss-Resilient IoT Systems,鈥� IEEE Internet of Things Journal, accepted for publication (early access), December 2021.
[PL10] A. Jarwan and M. Ibnkahla, 鈥滷ederated Deep Reinforcement Learning for Feedback-Oriented Backhaul Selection,鈥� IEEE Internet of Things Journal, accepted for publication, February 2021.
See also:聽Abdallah Jarwan 杏吧原创 IoT Lab Publications