Shadia Baroud ☕️
Shadia Baroud

AI Researcher and Developer | Data Scientist | PhD Candidate | IEEE Member

About Me

Shadia Baroud is a technically proficient Research Fellow and Data Scientist with over 14 years of experience in AI, machine learning, system analysis and software engineering. Extensively published in theoretical and experimental work, with significant expertise in data analysis, project management and academic research. A proven ability to develop and implement advanced algorithms across multiple domains, including Machine Learning, Multi-agent Systems, Computer Vision, NLP and cybersecurity. Seeking a supervisory or leadership role where She can contributes to cutting-edge research and technological advancements.

The site is new and growing, not everything is done yet :)
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Interests
  • Artificial Intelligence
  • Data Science
  • Information Retrieval
Education
  • PhD Computing (Integration issues related to ML and software)

    UNIMY University | Petaling Jaya, Malaysia

  • MSc Information Technology

    Islamic University | Gaza, Palestine

  • Higher Diploma Educational Diploma

    Al-Aqsa University | Khan Younis, Palestine

  • BSc Computer Science

    Al-Aqsa University | Khan Younis, Palestine

  • Diploma Computer IN Technology

    Gaza Training College - UN | Gaza, Palestine

📚 My Research

Welcome to my space! I’m deeply involved in exploring cutting-edge technology and innovative solutions. My work spans across various disciplines, blending both theoretical and practical approaches to solve real-world challenges. I’m passionate about areas like machine learning, system security, and robotics, and I constantly seek out projects that push the boundaries of what’s possible.

Whether I’m building robust systems, analyzing complex data, or working on groundbreaking research, my mission is to contribute to the advancement of technology in ways that positively impact society. If you’re interested in collaborating or sharing ideas, don’t hesitate to get in touch!😃

Featured Publications
Recent Publications
(2024). Cutting-Edge AI Approaches with MAS for PdM in Industry 4.0: Challenges and Future Directions. Journal of Applied Data Sciences.
(2023). Spare parts management analytics for smart maintenance: A review on dealing with challenges to warranty profitability. Proceedings of the 1st International Conference on Frontier of Digital Technology Towards a Sustainable Society.
(2023). Comparing Machine Learning Algorithms for Intrusion Detection: An Experimental Study Using the UNSW-NB15 Dataset. JOURNAL OF INNOVATION AND EMERGING DIGITAL TECHNOLOGIES (JIEDT).
(2022). An Evolutionary Approach to Software Testing Ontology Development. International Journal of Information Technology.
(2022). Consumers Attitude and Purchasing Behavior on Mobile Shopping : A Review. JOURNAL OF INNOVATION AND EMERGING DIGITAL TECHNOLOGIES (JIEDT).
Recent & Upcoming Talks