Computer Science Department
Academic Staff
Mohammed Gheni Alwan
LECTURER DOCTOR
Mohammed. g. Alwan. I lecturer in the Department of Computer Sciences, University of Technology-Baghdad-Iraq. I completed her Bachelor from College Education / Department of Computer Sciences in 2000, and Master degrees, from the Department of Computer Sciences- in college Sciences/ AL- Mustansiriyah University, Baghdad, Iraq, in 2005, respectively. I received her Ph.D. degree in Computer Sciences- Specialization image processing from the University of Technology, Baghdad, Iraq in 2019 he joined the Department of Computer Sciences, University of Technology, as an academic staff member since 2007.
Education
- Bachelor’s Degree – Software Engineering – Al-Rafidain University College, Baghdad, Iraq 2008
- Master – Information Technology – Altinbash University 2022
Research Interest
Teaching
- Dynamic Web Programming (2023_2024)
- Numerical analysis (2023-2024)
Most recent publications
- Manal H. Jassim & Saeed R. Saeed, ” Implementation of Tracking System for Human Detection based on Pyroelectric Infrared (PIR) Sensor”, International Journal of Computer Applications, Vol.138, No.8, March-2016, ISSN 0975-8887.
- Saeed Ridha Saeed, Azad Raheem Kareem & Ashwaq Q. Hameed, “An Improved Design for the CSSDA for Broadband Microwave Applications”, Solid State Technology Volume: 63 Issue:6 Publication Year:2020.
- Moaid K. Hussain , Saeed R. Saeed , Mohammed R. Saeed , Stepan Syrotyuk, Surface effects on the electronic and optical properties of the Mn3P alloy for optoelectronic applications, journal homepage: www.elsevier.com/locate/ijleo, Optik – International Journal for Light and Electron Optics 242 (2021) 166667.
- Saeed R. Saeed, Azad R. Kareem, Ashwaq Q. Hameed, ” Evolved design for cascaded single-stage distributed amplifier using differential amplifier cells”, Journal homepage: http://iieta.org/journals/mmep, Vol. 10, No. 4, August, 2023, pp. 1281-1287 .
- Saeed R. Saeed, Alyaa Hashem Mohammed, Shahad Khalid Khaleel, Aqeel Ali Al-Hilali, ” The study of deep learning for automotive logo recognition and classification”, Journal homepage: http://pen.ius.edu.ba/index.php/pen/index, Vol. 11, No. 3, May 20, 2023, pp.255-268.