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الدكتور دياري عبد الخالق حسن
Staff Profile

الدكتور دياري عبد الخالق حسن

diyari.hassan@uniq.edu.iq PhD in Computer Engineering Dean of Faculty of Engineering & Computer Science Faculty of Engineering & Computer Science

Biography

I have been with the Faculty of Engineering and Computer Science at Qaiwan International University (QIU) in Iraq since 2020, where my passion for academia has led me to serve as a lecturer and Head of Biomedical Engineering Department. Before joining QIU, I had the privilege of holding significant academic roles in Cyprus from 2014 to 2019, where I honed my expertise in the subject matter. Additionally, I had a valuable experience as a Microwave Engineer at Halbja Telecom Service from 2013 to 2014, which further enriched my practical knowledge in the field. My academic journey has instilled in me a profound interest in cutting-edge research areas. Presently, my focus lies in adaptive and array signal processing, with a strong emphasis on their practical applications in source separation and communications. These research interests drive me to continuously explore innovative approaches and contribute to the advancement of these fields. Through my career, I aspire to make a meaningful impact on the academic community, industry, and society as a whole. I am committed to fostering a nurturing learning environment for my students, encouraging their curiosity, and fostering their critical thinking skills. Concurrently, I strive to stay at the forefront of research, collaborating with like-minded professionals to address real-world challenges and create sustainable solutions.

 

 

المنشورات

Publications list for الدكتور دياري عبد الخالق حسن with client-side search.
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1

Comparison of feature selection methods in Kurdish text classification

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2

Polynomial GSVD Beamforming for Two-User Frequency-Selective MIMO Channels

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3

Kurdish News Dataset Headlines (KNDH) through multiclass classification Author links open overlay panel

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4

Neural Networks for Computing Eigenvalues of Parahermitian Matrices

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5

Efficient Eigenvalue Computation of Parahermitian Matrices Using Neural Networks

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6

EXPERIMENTAL ANALYSIS OF RSRP AND RSRQ IN DENSE URBAN DEEP INDOOR SCENARIOS

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7

DEEP NEURAL NETWORK-BASED APPROACH FOR COMPUTING SINGULAR VALUES OF MATRICES

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8

Critical review of the model description in ‘Kurdish handwritten character recognition using deep learning techniques’

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9

Enhanced Category-Feature Association Measure

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