| Personal Information: | |||||||
|---|---|---|---|---|---|---|---|
| Full name | Omar Ibrahim Yahya | ||||||
| Employment position | Dean of Technical Engineering College For Computer & AI – Mosul | ||||||
| Department | |||||||
| Branch | |||||||
| omardallalbashi@ntu.edu.iq | |||||||
| Academic Degrees: | |||||||
| University | Academic degree | Date of the degree | Specialization | Country | |||
| UPM University | PhD | 2018 | Computer and embedded systems engineering | Malaysia | |||
| MSc | 2012 |
| Iraq | |||
| B.A | 2009 |
| Iraq | |||
| Teaching experience: | |||||||
| Undergraduate Teaching | Yes | ||||||
| Graduate teaching | Yes | ||||||
| Research and scientific activities: | |||||||
| Published researches | 15 | ||||||
| Conferences and seminars | 3 | ||||||
| Membership in scientific and professional societies and publishing houses7 | Representative of the Academic Union in the University Council | ||||||
| Profiles: | |||||||
| Google Scholar |  | ||||||
| Research Gate |  | ||||||
| Publons |  | ||||||
| ORCID ID |  | ||||||
| Scopus |  | ||||||
| Scientific and research interests: | |||||||
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| Honors and awards: | |||||||
| The patent title is: “Sensing System Using Quadcopter for Risky Mission Application”. The patent application has been supported for patent entry process during Intellectual Property and Enovation Application:2016 (No.29/2017) on 28 th Sep.2017. The patent is currently the drafting process under Putra IP Department of Putra Science Park, Universiti Puta Malaysia (UPM). | |||||||
| Last Research : | |||||||
| Trajectory optimization to minimize fuel usage for positioning guide by a nonlinear model predictive control for underwater robots Maximizing Solar Energy Utilization and Controlling Electrical Consumption in Domestic Water Heaters by Integrating with Aluminum Reflector Detecting and tracking a road-drivable area with three-dimensional point clouds and IoT for autonomous applications Developing a model for unmanned aerial vehicle with fixed-wing using 3D-map exploring rapidly random tree technique Threat Detection Model for WLAN of Simulated Data Using Deep Convolutional Neural Network DEVELOPMENT OF OBJECT DETECTION FROM POINT CLOUDS OF A 3D DATASET BY POINT-PILLARS NEURAL NETWORK IoT Based UAV Platform for Far Distance control system Autonomous quadcopter altitude for measuring risky gases in hazard area Unmanned Aerial Vehicle Quadcopter: A Review Quadcopter sensing system for risky area Pattern investigation for landfill of methane gas concentration measurement Face Recognition Based on PCA, LBP and SVM Techniques A Novel Control System for Robotics Devices | |||||||