About Ismail AlQerm Ismail AlQerm Ph.D., Computer Science Cognitive radios Resource allocation machine learning Ismail AlQerm obtained his Ph.D. degree in Computer Science under the supervision of Professor Basem Shihada at King Abdullah University of Science and Technology (KAUST). Currently, he is working as a Post-Doctorate Fellow at the University of Missouri-St. Louis, USA. Research Interests Ismail's research interests included Cognitive radios, Resource Allocation, Machine Learning, Cellular Networks, and HetNets. Thesis title: Novel Machine Learning-Based Techniques for Efficient Resource Allocation in Next Generation Wireless Networks. Academic Advisors Basem Shihada, Professor, Computer Articles Related News January 2019 Three papers accepted at IEEE WCNC 2019 1 min read · Fri, Jan 18 2019 News Unmanned aerial vehicles UAVs Underwater Optical Wireless Communications and Networking Our papers entitled "A Distributed Mechanism for Joint 3D Placement and User Association in UAV-Assisted Networks", "SectOR: Sector-Based Opportunistic Routing Protocol for Underwater Optical Wireless Networks", and "Online Q-Learning Scheme for Energy Efficient Power Allocation in Cognitive Radio Networks" have been accepted for publication at IEEE WCNC. January 2018 Accepted paper at IEEE Transactions on Mobile Computing 1 min read · Mon, Jan 8 2018 News cloud radio access networks Qerm* and B. Shihada◊, "Sophisticated Online Learning Scheme for Green Resource Allocation in 5G Heterogeneous Cloud Radio Access Networks", IEEE Transactions on Mobile Computing, Accepted, 2018. October 2017 Our paper Supervised Cognitive System: A New Vision for Cognitive Engine Design in Wireless Networks has been accepted for publication at IEEE CCNC 2018 Proceedings 1 min read · Sun, Oct 1 2017 News cognitive radio systems Our paper "Supervised Cognitive System: A New Vision for Cognitive Engine Design in Wireless Networks" has been accepted for publication at IEEE CCNC 2018 Proceedings. August 2017 Accepted paper at IEEE PIMRC 2017 1 min read · Thu, Aug 3 2017 News Heterogeneous cloud radio access networks I. AlQerm and B. Shihada, "Enhanced Machine Learning Scheme for Energy Efficient Resource Allocation in 5G Heterogeneous Cloud Radio Access Networks", in Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pp. 1-7, 2017. July 2017 Accepted paper at IEEE Transactions on vehicular Technology 1 min read · Sun, Jul 16 2017 News 5G networks I. AlQerm and B. Shihada, "Energy Efficient Power Allocation in Multi-tier 5G Networks Using Enhanced Online Learning", IEEE Transactions on vehicular Technology, 2017. October 2016 Our paper Hybrid Cognitive Engine for Radio Systems Adaptation has been accepted for publication at IEEE CCNC 2017 Proceedings 1 min read · Tue, Oct 4 2016 News cognitive radio systems Our paper "Hybrid Cognitive Engine for Radio Systems Adaptation" has been accepted for publication at IEEE CCNC 2017 Proceedings. January 2016 Accepted paper at IEEE ICC 2016 1 min read · Mon, Jan 18 2016 News 5G networks I. AlQerm and B. Shihada, "A Cooperative Online Learning Scheme for Resource Allocation in 5G Systems", in Proc. IEEE International Conference on Communications (ICC), pp. 1-7, 2016.
Three papers accepted at IEEE WCNC 2019 1 min read · Fri, Jan 18 2019 News Unmanned aerial vehicles UAVs Underwater Optical Wireless Communications and Networking Our papers entitled "A Distributed Mechanism for Joint 3D Placement and User Association in UAV-Assisted Networks", "SectOR: Sector-Based Opportunistic Routing Protocol for Underwater Optical Wireless Networks", and "Online Q-Learning Scheme for Energy Efficient Power Allocation in Cognitive Radio Networks" have been accepted for publication at IEEE WCNC.
Accepted paper at IEEE Transactions on Mobile Computing 1 min read · Mon, Jan 8 2018 News cloud radio access networks Qerm* and B. Shihada◊, "Sophisticated Online Learning Scheme for Green Resource Allocation in 5G Heterogeneous Cloud Radio Access Networks", IEEE Transactions on Mobile Computing, Accepted, 2018.
Our paper Supervised Cognitive System: A New Vision for Cognitive Engine Design in Wireless Networks has been accepted for publication at IEEE CCNC 2018 Proceedings 1 min read · Sun, Oct 1 2017 News cognitive radio systems Our paper "Supervised Cognitive System: A New Vision for Cognitive Engine Design in Wireless Networks" has been accepted for publication at IEEE CCNC 2018 Proceedings.
Accepted paper at IEEE PIMRC 2017 1 min read · Thu, Aug 3 2017 News Heterogeneous cloud radio access networks I. AlQerm and B. Shihada, "Enhanced Machine Learning Scheme for Energy Efficient Resource Allocation in 5G Heterogeneous Cloud Radio Access Networks", in Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pp. 1-7, 2017.
Accepted paper at IEEE Transactions on vehicular Technology 1 min read · Sun, Jul 16 2017 News 5G networks I. AlQerm and B. Shihada, "Energy Efficient Power Allocation in Multi-tier 5G Networks Using Enhanced Online Learning", IEEE Transactions on vehicular Technology, 2017.
Our paper Hybrid Cognitive Engine for Radio Systems Adaptation has been accepted for publication at IEEE CCNC 2017 Proceedings 1 min read · Tue, Oct 4 2016 News cognitive radio systems Our paper "Hybrid Cognitive Engine for Radio Systems Adaptation" has been accepted for publication at IEEE CCNC 2017 Proceedings.
Accepted paper at IEEE ICC 2016 1 min read · Mon, Jan 18 2016 News 5G networks I. AlQerm and B. Shihada, "A Cooperative Online Learning Scheme for Resource Allocation in 5G Systems", in Proc. IEEE International Conference on Communications (ICC), pp. 1-7, 2016.
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