Control and Systems Engineering Department Welcomes First-Year Students
Control and Systems Engineering Department Welcomes First-Year Students
The Department of Control and Systems Engineering organized a welcome ceremony for its new students admitted in the first year of the academic year 2021_2022. The student reception committee headed by the Deputy Head of Administrative Affairs (Dr. Hazem Ibrahim Ali) met with students and their families who were given an overview of the department, the nature of the study and the curriculum taught, the components of the educational process adopted and founded in the system of study and examinations. In addition to that, all controls and instructions on student discipline were reviewed and the students were urged to abide by the general order and benefit from the years of study in the study in gaining knowledge and devoting the experiences they gain in the service of their community. The reception also included a tour of the department corridors, classrooms and laboratories in addition to the workshops of the laboratory department. At the end of the activity, the committee conveyed the wishes of the head of the department to them to excel and succeed in their new lives and help build and develop their homeland. |
Workshop - Scientific Promotions
Workshop - Scientific Promotions
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Department of Control and Systems Engineering holds a workshop entitled Smart Home Automation Based KNX System
Department of Control and Systems Engineering holds a workshop entitled Smart Home Automation Based KNX System
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Raaed Sadoon Abedulwahab
Raaed Sadoon AbedulwahabZahid
Control Systems Engineering
Assistant Lecturer
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Raaed Sadoon Al-Azzawi is afaculty member in Control and Systems Engineering department at University of Technology-Iraq in Baghdad. He received his B.Sc. degree in Control and Systems Engineering and his M.Sc. degree in Mechatronics Engineering from the University of Technology-Iraq in Baghdad, in 2002 and 2007 respectively.He was a postdoctral scholar in Electrical Engineering at the University of Central Florida, Orlando, USA. His research interests include Cooperative/Non-cooperativeGame Theory, Control, OptimalControl, Optimization, Robotics and Automation.
PhD., Control Systems Engineering, University of Central Florida, UCF, Orlando, Florida, USA.
M.Sc., Mechatronics Engineering, University of Technology-Iraq, Baghdad.
B.Sc.,Control Engineering, University of Technology-Iraq, Baghdad.
Cooperative/Non-cooperativeGame Theory
control
OptimalControl
Optimization
Robotics and Automation.
Al-Azzawi, Raaed S., and Marwan A. Simaan. "On the selection of leader in Stackelberg games with parameter uncertainty." International Journal of Systems Science 52.1 (2021): 86-94. |
Raaed S. Al-Azzawi and M. A. Simaan, "Sampled Closed-Loop Control in Multi-Controller Multi-Objective Control Systems," SoutheastCon 2018, 2018, pp. 1-7, doi: 10.1109/SECON.2018.8478971 |
Raaed S. Al-Azzawi and M. A. Simaan, "Leader-Follower Controls in Systems with Two Controllers," 2019 SoutheastCon, 2019, pp. 1-6, doi: 10.1109/SoutheastCon42311.2019.9020435. |
Computer Control
Electronic Circuits Design
Advanced mathematics for Engineering
Control Theory
Advanced Control
Robotics Design
Master's Viva
Master's Viva
The master's thesis of graduate student Hanan Abdul Attia, specialized in mechatronics engineering, was discussed on Wednesday, 22 December 2021, at Hall 9 in the Department of Control and Systems Engineering. The research was entitled: Deep Learning _Based Mobile Robot Localization
The discussion committee consisted of:
Mobile robot positioning is a potential problem due to the difficulty of GPS sensor systems in detecting the mobile robot's location in the external environment. In this work, enhancing the localization of mobile robots by combining liDAR D3 data with images of RGB_D and the use of deep learning techniques were studied, and the results were good at identifying the correct location. The results of the simulation show that the proposed technology is better to reduce the computational cost as a result of a 90% reduction in training time for the proposed network Compared to previous systems. On this occasion, we congratulate the student (Hanan Abdel Attia) and wish her continued success. |