• University of Kerbala – Karbala, Iraq (May. 2017 – Aug. 2023)

Assistant Lecturer at Prosthetics and Orthotics Department/ College of Engineering.

Courses taught:

• English Language I - UREQ111 (Fall\ 2020, Fall 2021, Fall 2022).

• English Language II - UREQ121 (Spring 2021, spring 2022, Spring 2023).

• Information Technology - CREQ210 (Fall 2022).

Undergraduate Research Advising

• EMG Signal Classification for Hand Gesture Using Deep Learning (Fall 2022).

Lab instructor:

• Information Technology - CREQ210 (Fall 2020, Fall 2021, Fall 2022).

• Computer Programming I - UREQ112 (Fall 2020, Fall 2021, Fall 2022).

• Computer Programming II - UREQ122 (Spring 2021, Spring 2022, Spring 2023).

• Artificial Intelligence - POER423 (Fall 2020, Fall 2021, Fall 2022).

• Control Theory - POER410 (Fall 2020).

Tutor and researcher at the Open Source Technology Lab.

Tutor at the staff development center.

Editorial Assistant at Kerbala Journal for Engineering Sciences.

The administrator of the IT Department at the College of Engineering.

• Kubtec Medical Imaging – Stratford, CT, US (Online – Part-time) (Sep. 2020 – June 2023)

A part-time software developer working on maintaining the existing software, adding new features, and developing new projects.

• Integrating new hardware parts into the imaging software including X-ray sources and detectors.

• Developing new features for the imaging software such as retrieving images from PACS server and licensing some advanced features.

• Developing new projects such as a windows application to test the hardware components of the system.

•  Solving customer issues.

• Documenting development process for new projects including User needs, Software Requirement Specifications (SRS), Software Design Specification (SDS), and Test Plans.

Technologies used: C#, SQLite, SQL, WPF, Keygen Licensing API, Orthanc PACS server, MWL emulator, rzdcx toolkit, and dcmtk toolkit.

Kubtec Medical Imaging – Stratford, CT, US (Internship) (Aug. 2019- May 2020)

• Worked on Reviewing and analyzing system specifications and testing imaging software.

• Conducted research to reduce speech signal noise and improve voice recognition feature.

• Developed effective test plans for the imaging software, executed them, and analyzed the results, specifically for the voice commands feature.

• Troubleshoot customer issues and worked on customization requests.

Technologies used: C#, WPF, Python, SQL, SQLite, Orthanc PACS server.

Al-Nahrain University – Baghdad, Iraq (Oct. 2014 – May 2017)

• Teaching assistant at Computer Engineering Department laboratories including electrical and electronic circuits, logic circuit design, computer network, software engineering, and web design laboratories.

• Network administrator at the College of Engineering to provide Internet service for the campus, including hardware installation and maintenance, devices configuration, troubleshooting, and network service monitoring.

• Developer of the E-Library for the College of Engineering.

• Administrative member of the alumni office at the College of Engineering.  

NetMax Company – Baghdad, Iraq (Internship) (Sep. 2014 – Oct. 2014)

• Network engineer worked on devices configuration, troubleshooting, and network service monitoring.

• Binghamton University – Binghamton, NY, USA (Started: Aug. 2023)

Ph.D. in Computer Science.

• University of Bridgeport –Bridgeport, CT, USA, 2020                                  

      Master of Science in Computer Engineering, (GPA: 3.97/4).

Awarded Academic Achievement in Computer Engineering.                          

Thesis Title: Speech Signal Enhancement Based on Sequence to Sequence Model with a Novel Attention Mechanism, Supervised by Prof. Ausif Mahmood.

In this thesis, a new deep-learning model was proposed and implemented to enhance speech signals and reduce noise. The model was built and trained using Python and Keras.

• Drexel University – Philadelphia, PA, USA, 2018                                          

Six Weeks Intensive Pre academic English Language Course.

• Al-Nahrain University – Baghdad, Iraq, 2014

        Bachelor of Science in Computer Engineering.

• Using Deep Neural Networks in Classifying Electromyography Signals for Hand Gestures, IAES International Journal of Artificial Intelligence (IJ-AI), Vol. 13, No. 1, March 2024 (In Progress).

• Smart Parking for Disabled Parking Improvement Using RFID and Database Authentication in 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), June 2020.

• Design and Implementation of File Sharing Server, International Journal of Computer & Communication Technology (IJCCT), Vol. 29, No. 1, November 2015.

• Poster presentation “Network Virtualization, Technologies and Challenges”

O. Abuzaghleh, C. A. Konate, J. Oiseomaoje, M. Alyas, S. Ivan, Z. Altaweel. Network Virtualization Technologies and Challenges. Poster Presentation at: 2019 ASEE Zone I Conference & Workshop; April 15, 2019; Niagara Falls, NY, USA. 

• Directory Management System (DMS)

Designed and implemented a three-level contacts hierarchy system for six different types of contacts. The DMS creates a directory and runs queries on it. The project was implemented with C++ and documented using UML Diagrams.

• Smart Parking for Disabled Parking Improvement

Designed and implemented a prototype for smart Disabled parking, using RFID technology, raspberry pi microcontroller, ultrasonic sensor, and an RGB led. Python was used to program the controller and ThingSpeak for collecting data.

• Design and Implementation of File Sharing Server

Designed and implemented a client-server architecture for sharing files. The server was implemented using ASP.NET, C#, HTML5, CSS, JavaScript, and SQL server.

• Member of the Connecticut Delta Chapter of the Upsilon Pi Epsilon Honor Society. (May 2020)

• Fulbright Foreign Student Program scholar 2018-2020. (Jul. 2018)

• Teaching. 

• Programming Languages: Python, C++, C#, and Java.

• Web technologies: HTML5, CSS3, JavaScript, PHP, ASP.NET, and REST.

• IDE: Visual Studio, NetBeans, PyCharm, and Google Collaboratory.

• Deep Learning: Classification and Predictive Modeling, TensorFlow, Keras, Pytorch, and Matlab.

• Spark NLP data scientist by John Snow Labs

• Cisco (CCNA 200-120) certificate

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