I am a computer science and engineering professional with more than 27 years of experience in teaching, databases, programming, and data-driven decision support.
My background combines academic teaching with applied work in big data analytics, artificial intelligence, machine learning, data warehousing, and reporting systems. I have taught and supported students and professionals across universities and training institutions in Canada, the UAE, Egypt, and the United States.
I have extensive experience developing and administering reporting and database solutions for SIS, HR, and finance systems, including Oracle-based data warehousing, Business Objects, Crystal Reports, and related tools. I have also led report-writing teams and supported end users in solving operational issues.
My research interests include big data management, data visualization, data mining, knowledge discovery, optimization, and smart manufacturing. I have contributed to academic research and publications in machine learning, biomedical informatics, and industrial applications of AI.
I hold a Ph.D. in IMSE Engineering focused on big data analytics for complex systems, along with a master’s degree in computer science and engineering and a bachelor’s degree in computer engineering. I also hold professional certifications in Oracle, internet/web technologies, and computer literacy.
I am fluent in English and Arabic and have a strong record of teaching, mentoring, presenting, and working independently or in collaborative teams. I am open to roles that combine teaching, analytics, database systems, and applied AI.
I am currently serving as a Lecturer in the Faculty of Computer Information System at HCT.
My role focuses on teaching and academic support in computer information systems and related data-focused subjects.
I am currently an Adjunct Professor at Westcliff University in California, where I teach courses related to artificial intelligence, machine learning, big data analytics, and engineering administration.
The courses listed include DATA 630, EMT 600, MIS 550, DATA 620, DATA 803, and TEM 620.
I have served in multiple academic and research roles at the University of Windsor, including Instructor, Post-Doctoral Fellow, Teaching Assistant, and Research Assistant.
My work includes graduate assistance for courses in data analytics, engineering economics, treatment of experimental data, engineering design, and engineering management. I also held a Mitacs Accelerate Fellow position at ITOS Oncology Inc. and the School of Computer Science.
This role reflects a long-term combination of teaching, research, and applied analytics work in an academic environment.
I taught statistics and data analytics courses at St. Clair College.
The courses included Advanced Statistics for Data Analytics, Basic Statistics and Exploratory Data Analysis, and Data Visualization and Reporting.
I worked as an Instructor and IT Professional at UAE University for more than a decade.
My responsibilities included decision support development, senior systems and data analysis, leading a report writing team, training supervision, administration, and database development.
I taught database and programming-related topics while also maintaining databases and supporting web design and development.
This role strengthened my experience in Oracle development and technical instruction.
I taught Oracle fundamentals, the Oracle Developer track, and web design and development tools.
I also taught ICDL classes, Windows NT core administration, MS Project, C, and C++.
I taught Oracle database, operating systems, networking, and web design and development tools.
I also supported students through tutoring and office hours while serving in a quality assurance management capacity under ISO 9001.
I supported computer engineering instruction as a Teaching Assistant and Research Assistant.
My responsibilities included assisting with grading, supporting students during office hours, and helping the professor with course delivery.
Ph.D., IMSE Engineering (Big Data Analytics for Complex Systems)
Doctoral studies focused on big data analytics for complex systems.
Master’s Degree, Computer Science and Engineering
Graduate studies in computer science and engineering.
Diploma, Software Skills Development
Diploma focused on software skills development.
Bachelor of Computer Engineering, Computer Engineering
Undergraduate degree in computer engineering.
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