Faculty of Engineering and Natural Sciences

Academic Members

Faculty Member, PhD Hüsamettim Osmanoğlu

Faculty Member, PhD
Hüsamettim Osmanoğlu

CV

I received my B.S. in Computer Engineering degree from the Islamic University of Gaza (IUGaza) in 2002. I received his M.S. in Computational Sciences in Engineering from the Technical University of Braunschweig in 2007, and Computer Engineering from İstanbul Technical University (ITU) in 2019. My current research focuses on wireless communication and deep neural networks. During my academic life, I have involved in many research projects, which gained me the required skills to come up with a comprehensive research. In addition, I am currently a reviewer at Biomedical Signal Processing and Control journal, Computers & Electrical Engineering journal and Digital Signal Processing journal. As such, my wide research experience improves my ability to do my job effectively. With my professional achievements in teaching at different universities, combined with my communication and leadership talents, I am prepared to excel at motivating and inspiring students of all levels including bachelor and master students.

Araştırma Alanları

  • Cognitive Communication
  • Neural Network and Deep Neural Network
  • Embedded Systems
  • Network systems
  • Digital Signal Processing

Temel Alanları

  • Mühendislik Temel Alanı
  • Bilgisayar Bilimleri ve Mühendisliği
  • Bilgisayar ve İletişim Ağları
  • Gömülü Sistemler
  • Bilgisayar Sistem Yapısı ve Donanımı
  • A comparative analysis of 1-level multiplier-free discrete wavelet transform implementations on FPGAs, 2018
  • An optimized two-level discrete wavelet implementation using residue number system, 2018
  • Very-low-SNR cognitive receiver based on wavelet preprocessed signal patterns and neural network, 2017
  • Student Attendance System using iTag’s Beacon Detection, 2024
  • Modeling of COVID-19 outbreak in Gaza Strip using SEIR model, 2023
  • Mobile robot comes to the rescue in a WSN, 2013
  • Low-SNR Modulation Recognition Based on Deep Learning on Software Defined Radio, 2022
  • A comparative analysis of multiplier-less 1-level discrete wavelet transform implementations on FPGAs, 2018
  • Multiplier-less 1-level discrete wavelet transform implementations on ZC706 development kit, 2018
  • Wavelet preprocessed neural network based receiver for low SNR communication system, 2015
  • Wavelet Theory and Its Applications, ISBN: 978-1-78923-433-6, 2019