Dr. Yasmine Mazin Tabra

@nahrainuniv.edu.iq

College of Information Engineering, Al-Nahrain University

Dr. Yasmine Mazin Tabra


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https://researchid.co/yasminetabra
I'm an Information and Communication Engineering
expert who works in multiple domains, including DSP, Multimedia, Beamforming, DOA, ML, and 5G applications. Her educational background is Ph.D. in ICE. I have been a lecturer at Al Nahrain University/College of Information Engineering for over 13 years. Having over 11 research papers in different fields. I can be contacted by email: yasminetabra@

EDUCATION

B.Sc. in Information Engineering
M.Sc. in Information Engineering
Ph,D. in information and communication Engineering
8

Scopus Publications

55

Scholar Citations

5

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Low-complexity Deep Learning for Joint Channel-type Identification and SNR Estimation in MIMO-OFDM Using CNN–BRNN with LUT Labels
    International Journal of Intelligent Engineering and Systems, 2026
  • Breast cancer survival rate prediction using multimodal deep learning with multigenetic features
    International Journal of Advanced Technology and Engineering Exploration, 2025
  • Real-Time Detection of Alzheimer's Relatives via Fusion of Two Parallel Deep Convolutional Networks
    Yasmine M. Tabra, Khansaa Dheyaa Aljafaar
    2025 3rd International Conference on Artificial Intelligence Blockchain and Internet of Things Aibthings 2025, 2025
    Alzheimer’s patients (AP) frequently experience memory loss concerning their relatives’ names and identities, and they may not always have access to permanent companionship. This paper proposes a system that utilizes a camera, activated by voice commands, to detect relatives in real-time, thereby assisting patients in recognizing their family members. Furthermore, notify the nearest authorized relative via email regarding visitors. This paper presents the architecture of the Fusion of two parallel Deep Convolutional Neural Networks (F2PDCNet). This architecture comprises three primary components: Deep Cascaded Network (DCNet), Deep Doubled Features Network (DDFNet), and Accumulative Convolution Neural Network (AcCNet). The proposed architecture enhances accuracy and decreases recognition time utilizing the merging of generated dataset (KaYa 25) and subset of VGGFace2 dataset. Th generated dataset is derived from photographs of the patient’s relatives and serves as the training material for the proposed deep network. During the identification phase, 150 photographs were captured from a live video stream using the Pi Camera Module 2 connected to a Raspberry Pi. The proposed architecture demonstrated a detection time of $\mathbf{1. 1 7 m s}$ and achieved $\mathbf{1 0 0 \%}$ recognition accuracy, reflecting a 0.4% improvement over existing literature utilizing the same dataset.
  • Reduced hardware requirements of deep neural network for breast cancer diagnosis
    Yasmine M. Tabra, Furat N. Tawfeeq
    Iaes International Journal of Artificial Intelligence, 2022
    Identifying breast cancer utilizing artificial intelligence technologies is valuable and has a great influence on the early detection of diseases. It also can save humanity by giving them a better chance to be treated in the earlier stages of cancer. During the last decade, deep neural networks (DNN) and machine learning (ML) systems have been widely used by almost every segment in medical centers due to their accurate identification and recognition of diseases, especially when trained using many datasets/samples. in this paper, a proposed two hidden layers DNN with a reduction in the number of additions and multiplications in each neuron. The number of bits and binary points of inputs and weights can be changed using the mask configuration on each subsystem to futher reduce the hardware requirements. The DNN was designed using a system generator and implemented using very hardware description language (VHDL). The system achievments outcomes the superior’s accuracy rate of approximately 99.6 percent in distinguishing bengin from malignant tissue. Also, the hardware resources were reduced by 30 percent from works of literature with an error rate of 7e-4 when using the Kintex-7 xc7k325t-3fbg676 board.
  • FPGA implementation of newLM-SPIHT colored image compression with reduced complexity and low memory requirement compatible for 5G
    Yasmine M. Tabra, Bayan Mahdi Sabbar
    International Journal of Reconfigurable and Embedded Systems, 2019
    <span lang="EN-US">The revolution in 5G mobile systems require changes to how image is handled. These changes are represented by the required processing time, the amount of space for uploading and downloading. In this paper, a development on WT (Wavelet Transform) along with LM-SPIHT (Listless-Modified Set Partitioning in Hierarchical tree) coding and with additional level of Runlength encoding for image compression has been proposed. The new implementation reduces the amount of data needed to be stored in several stages, also the amount of time required for processing. The compression has been implemented using VHDL (Very High Descriptive Language) on netFPGA-1G-CLM Kintex-7 board. The new implementation results show a reduction in the complexity as processing time.</span>
  • Hybrid MVDR-LMS beamforming for massive MIMO
    Yasmine M. Tabra, Bayan Sabbar
    Indonesian Journal of Electrical Engineering and Computer Science, 2019
    <p>With the high speed of communication in LTE-5G, fast beamforming techniques need to be adopted. The training time required to form and steer the main lobes toward 5G multiple users must be short. Least-Mean-Square (LMS) training time is not suitable to work with in LTE-5G, but it has a good performance in forming multiple beams to large number of users and producing nulls in the interference direction. In this paper, an optimized hybrid MVDR-LMS beamforming algorithm is proposed to reduce the time required to estimate the antenna’s weights. This optimization is made by the benefit of previously set weights calculated using MVDR algorithms. The performance of the proposed hybrid MVDR-LMS algorithm tested using MATLAB 2016a.</p>
  • Initial phase effect on DOA estimation in MMIMO using Separated Steering Matrix
    Bayan Mahdi Sabar, Yasmine M. Tabra
    Telkomnika Telecommunication Computing Electronics and Control, 2018
    Providing simple and low complexity algorithms for estimating the direction of arrival in large systems using Massive MIMO is considered an important issue. In this paper a method with reduced complexity was proposed to estimate the direction of arrival in FD- MMIMO. The Separated Steering Matrix (SSM) algorithm uses two separated equations for estimating elevation and azimuth angles of Multi-users. This method reduces the complexity of calculating the covariance matrix by decreasing the size of this matrix. This technique is tested using 2D-MUSIC algorithm. Since the mobility of devices affects the accuracy of direction estimation, thus the effect of the initial phase of transmitted signal from mobile device is tested.
  • An effective spam filter based on a combined support vector machine approach
    Mumtaz M. Al Mukhtar, Yasmine M. Tabra
    International Journal of Internet Technology and Secured Transactions, 2012
    The volume of mass unsolicited e-mail, often known as spam, has recently increased enormously and has become a serious threat to not only internet but also to society. It is challenging to develop spam filters that can effectively eliminate the increasing volume of unwanted e-mails automatically. The present work presents a combination of support vector machine classifier for non-linear data (using an eligible kernel function) with appropriate data pre-processing as a spam filter. Data pre-processing is a vital part of text classification where the objective is to generate feature vectors usable by SVM kernels. The pre-processing steps include HTML removal, HTML replacement, de-obfuscation and stop-word-remover. The results obtained using the pre-processing level showed an improvement in the classification level. The estimated training and classification time for different document sizes indicate that the adopted method is practical and computationally efficient. Experimental results show that the approach can enhance the filtering performance effectively.

RECENT SCHOLAR PUBLICATIONS

  • Low-complexity Deep Learning for Joint Channel-type Identification and SNR Estimation in MIMO-OFDM Using CNN–BRNN with LUT Labels
    YM Tabra, FN Tawfeeq
    International Journal of Intelligent Engineering & Systems 19 (1) , 2026
    2026
  • Real-Time Detection of Alzheimer’s Relatives via Fusion of Two Parallel Deep Convolutional Networks
    YM Tabra, KD Aljafaar
    2025 3rd International Conference on Artificial Intelligence, Blockchain … , 2025
    2025
  • Breast cancer survival rate prediction using multimodal deep learning with multigenetic features
    YM Tabra, FN Tawfeeq
    International Journal of Advanced Technology and Engineering Exploration 12 … , 2025
    2025
  • Determination of FPGA Implementation of New LM-SPIHT Colored Image Compression with Reduced Complexity and Low Memory Requirement Compatible for 5G
    YM Tabra, BM Sabbar
    New Approaches in Engineering Research Vol. 10, 9-21 , 2021
    2021
  • Reduced hardware requirements of deep neural network for breast cancer diagnosis
    YM Tabra, FN Tawfeeq
    Int J Artif Intell ISSN 2252 (8938), 1363 , 2021
    2021
    Citations: 6
  • Hybrid MVDR-LMS beamforming for massive MIMO
    BMS Yasmine M. Tabra
    Indonesian Journal of Electrical Engineering and Computer Science 16 (2 … , 2019
    2019
    Citations: 15
  • New computer generated-SCMA codebook with maximized Euclidian distance for 5G
    YM Tabra, BM Sabbar
    Iraqi Journal of Information and Communication Technology 2 (2), 9-24 , 2019
    2019
    Citations: 7
  • FPGA implementation of new LM-SPIHT colored image compression with reduced complexity and low memory requirement compatible for 5G
    YM Tabra, BM Sabbar
    International Journal of Reconfigurable and Embedded Systems 8 (1), 1 , 2019
    2019
    Citations: 2
  • Beamforming with multiple access for 5G multimedia application
    YM Tabra
    Ph. D. thesis, Al-Nahrain University, 2019 (https://doi. org/10.13140/RG. 2 … , 2019
    2019
    Citations: 1
  • Initial Phase Effect on DOA Estimation in MMIMO Using Separated Steering Matrix
    YM Tabra, BM Sabbar
    TELKOMNIKA (Telecommunication Computing Electronics and Control) 16 (3) , 2018
    2018
    Citations: 4
  • Optimal Algorithm for Estimation of Mobile Users Direction in 5G LTE
    YM Tabra, BM Sabar
    i-manager's Journal on Mobile Applications and Technologies 3 (2), 1 , 2016
    2016
    Citations: 2
  • Gate control system for new Iraqi license plate
    F Tawfeeq, Y Tabra
    Iraqi Journal for Computers and Informatics 41 (1), 1-3 , 2014
    2014
    Citations: 10
  • An Enhanced Method for Sprite Extracting
    F Nidhal, MT Yasamine
    i-Manager's Journal on Information Technology 3 (4), 9 , 2014
    2014
  • A Proposal for Internet Voting System in Iraq
    YM Tabra
    International Journal of Advanced Research in Computer Science and Software … , 2013
    2013
    Citations: 5
  • A Module for Enhancing Recognition System for QR Code Scanned Image
    F Nidhal, MT Yasamine
    i-Manager's Journal on Information Technology 1 (3), 1 , 2012
    2012
  • An effective spam filter based on a combined support vector machine approach
    MM Al-Mukhtar, YM Tabra
    International Journal of Internet Technology and Secured Transactions 4 (1 … , 2012
    2012
    Citations: 3
  • A Suggested GUI Spam Filter Based on SVM Algorithm
    YM Tabra
    2009

MOST CITED SCHOLAR PUBLICATIONS

  • Hybrid MVDR-LMS beamforming for massive MIMO
    BMS Yasmine M. Tabra
    Indonesian Journal of Electrical Engineering and Computer Science 16 (2 … , 2019
    2019
    Citations: 15
  • Gate control system for new Iraqi license plate
    F Tawfeeq, Y Tabra
    Iraqi Journal for Computers and Informatics 41 (1), 1-3 , 2014
    2014
    Citations: 10
  • New computer generated-SCMA codebook with maximized Euclidian distance for 5G
    YM Tabra, BM Sabbar
    Iraqi Journal of Information and Communication Technology 2 (2), 9-24 , 2019
    2019
    Citations: 7
  • Reduced hardware requirements of deep neural network for breast cancer diagnosis
    YM Tabra, FN Tawfeeq
    Int J Artif Intell ISSN 2252 (8938), 1363 , 2021
    2021
    Citations: 6
  • A Proposal for Internet Voting System in Iraq
    YM Tabra
    International Journal of Advanced Research in Computer Science and Software … , 2013
    2013
    Citations: 5
  • Initial Phase Effect on DOA Estimation in MMIMO Using Separated Steering Matrix
    YM Tabra, BM Sabbar
    TELKOMNIKA (Telecommunication Computing Electronics and Control) 16 (3) , 2018
    2018
    Citations: 4
  • An effective spam filter based on a combined support vector machine approach
    MM Al-Mukhtar, YM Tabra
    International Journal of Internet Technology and Secured Transactions 4 (1 … , 2012
    2012
    Citations: 3
  • FPGA implementation of new LM-SPIHT colored image compression with reduced complexity and low memory requirement compatible for 5G
    YM Tabra, BM Sabbar
    International Journal of Reconfigurable and Embedded Systems 8 (1), 1 , 2019
    2019
    Citations: 2
  • Optimal Algorithm for Estimation of Mobile Users Direction in 5G LTE
    YM Tabra, BM Sabar
    i-manager's Journal on Mobile Applications and Technologies 3 (2), 1 , 2016
    2016
    Citations: 2
  • Beamforming with multiple access for 5G multimedia application
    YM Tabra
    Ph. D. thesis, Al-Nahrain University, 2019 (https://doi. org/10.13140/RG. 2 … , 2019
    2019
    Citations: 1
  • Low-complexity Deep Learning for Joint Channel-type Identification and SNR Estimation in MIMO-OFDM Using CNN–BRNN with LUT Labels
    YM Tabra, FN Tawfeeq
    International Journal of Intelligent Engineering & Systems 19 (1) , 2026
    2026
  • Real-Time Detection of Alzheimer’s Relatives via Fusion of Two Parallel Deep Convolutional Networks
    YM Tabra, KD Aljafaar
    2025 3rd International Conference on Artificial Intelligence, Blockchain … , 2025
    2025
  • Breast cancer survival rate prediction using multimodal deep learning with multigenetic features
    YM Tabra, FN Tawfeeq
    International Journal of Advanced Technology and Engineering Exploration 12 … , 2025
    2025
  • Determination of FPGA Implementation of New LM-SPIHT Colored Image Compression with Reduced Complexity and Low Memory Requirement Compatible for 5G
    YM Tabra, BM Sabbar
    New Approaches in Engineering Research Vol. 10, 9-21 , 2021
    2021
  • An Enhanced Method for Sprite Extracting
    F Nidhal, MT Yasamine
    i-Manager's Journal on Information Technology 3 (4), 9 , 2014
    2014
  • A Module for Enhancing Recognition System for QR Code Scanned Image
    F Nidhal, MT Yasamine
    i-Manager's Journal on Information Technology 1 (3), 1 , 2012
    2012
  • A Suggested GUI Spam Filter Based on SVM Algorithm
    YM Tabra
    2009