Bassant Abdelhamid
bassant.abdelhamid@eng.asu.edu.eg
Interests: Signal processing, Communication Systems, Machine learning,
Internal ID: rp03683
- 143 Scopus Citations
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Full Name
Bassant Abdelhamid
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Biography
Dr. Bassant Abdelhamid is an associate professor at Faculty of Engineering, Ain Shams University since May 2019. She had her Ph.D. in Electronics and Communications engineering from E-JUST University in 2013. She received her B.Sc. and M.Sc. degrees in Electronics and Communications engineering from Ain Shams University, Egypt in 2006 and 2010, respectively. During her Ph.D., she worked as a special research student at Kyushu University, Japan. She worked at Ain Shams University as assistant professor between 2013 and 2019. Her career history is about 15 years in total academic and research experiences in many universities which are Ain shams University (ASU), Nile University (NU), British University in Egypt (BUE), Université Française d’Égypte (UFE). She is supervising many Master and Ph.D. degree students. She is specialized in mobile and wireless communications engineering, digital signal processing, Internet of Things (IoT), machine learning, and statistical signal processing. She has several international research publications, all in international journals with high impact factor and international conferences worldwide. She is also a reviewer in several high impact factor international journals and conferences. Dr. Bassant is a Senior Member in IEEE and IEEE communication Society and was the chairwoman of IEEE Woman in Engineering (WIE) Egypt Section affinity group (2020-2022).
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Subject
- 1 5G heterogeneous networks (HetNets) | Interference mitigation | Power minimization | Small cells (SCs) | Soft frequency reuse (SFR)
- 1 Acoustic noise cancellation | Adaptive filter design | FPGA implementation | LMS | Variable step size
- 1 Adaptive filter | LMS | NLMS | SNR improvement | Variable step size
- 1 Adaptive successive cancellation list decoder | Decoding latency | DVB systems | LDPC codes | Polar codes
- 1 Antenna selection | Cognitive Radio | Massive MIMO | Optimization problem | Precoding
- 1 ASR overlapping | graph coloring problem | massive MIMO | pattern division | two-layer precoding
- 1 Breast cancer | Early detection | Segmentation | Thermograms
- 1 cognitive radio | interference alignment | MIMO interference channel | multi-users
- 1 compressed sensing; probability; radio networks; matrix algebra; cognitive radio; signal reconstruction; gradient methods; basis matrix; new measurement matrix; modified regular parity check matrix; gradient-descent method; modified RPC matrix; active CR users; Gaussian matrix; cognitive radio networks; promising solution; efficient usage; wideband spectrum; narrowband spectrum; compressive sensing paradigm; wideband sparse spectrum; suitable random measurement matrix; structured measurement matrix; CS performance; SIGNAL
- 1 error statistics; channel capacity; channel coding; decoding; matrix algebra; polar code complexity; achievable bit error rate; optimum channel capacity; encoding; recursive channel transformations; successive cancellation decoding complexity; Bhattacharyya parameter generalisation; high dimension kernel matrices; polar code construction performance; Shannon theorem
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Date issued
- 26 2000 - 2998
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- 14 No Fulltext
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