University of Canberra | Australia
Author Profile
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Summary
Dr. Essam Debie is a seasoned academic and researcher with over the years of experience in artificial intelligence, machine learning, and human-computer interaction. with a strong foundation built through his phd in computer science and a robust teaching and research career across egypt and australia, he has established himself as a leader in both scholarly and applied domains. his work spans cloud computing, swarm intelligence, statistical analysis, and data mining, with notable applications in education, government, and defense sectors.
His academic journey reflects a consistent commitment to innovation in teaching and research. he has contributed significantly to interdisciplinary areas, integrating concepts from ai and power electronics to enhance autonomous systems and intelligent frameworks. his impactful work has led to over more research citations, and active collaboration across academia and industry. in every role—from lecturer to senior academic leader—he has demonstrated strong communication, inclusion, mentorship, and curriculum development skills.
Early academic pursuits
Dr. Essam Debie began his academic journey with a bachelor’s degree in computer science from Zagazig university, egypt, in 2003. his graduation project, a hospital management system using oracle developer, showcased his early technical aptitude. he advanced further with a master’s degree from the same institution in 2010, focusing on fuzzy expert systems—demonstrating a growing interest in Multi tasking Swarm Collective Intelligence and intelligent technologies. his academic pinnacle came with a phd in computer science from, where his thesis on evolutionary rule learning addressed high-dimensional classification problems, laying the groundwork for his future research in artificial intelligence and power electronics.
Professional endeavors
Dr. Debie’s career spans academia, research, and government. he began as an assistant professor at zagazig university, where he taught database systems and data mining. transitioning to australia, he held several roles, including lecturer and research fellow, focusing on swarm intelligence and human-autonomy interaction. in his current role as a senior lecturer at the university of canberra, he coordinates units in Multi tasking Swarm Collective Intelligence, cloud and edge computing, supervises student research, and leads outreach activities. prior to his academic roles in australia, he worked as a data scientist at ip australia and as a data analyst for the act government—roles that deepened his experience in applied machine learning and statistical modeling.
Contributions and research focus
Dr. Debie has made significant contributions to artificial intelligence, cloud computing, and human-machine interaction. he has led research teams on topics such as explainable ai, robotic swarming, and adaptive ai frameworks for cognitive load management. his interdisciplinary research integrates concepts from ai, Multi tasking Swarm Collective Intelligence, data science, and power electronics, particularly in the context of autonomous systems and robotics. he also contributed to work-integrated learning initiatives, connecting academia with real-world industry problems.
Impact and influence
Dr. Debie’s work has attracted more citations, reflecting the global relevance of his contributions. Particularly his advocacy for ai training programs tailored to military applications. through excellent student feedback and mentorship, he’s significantly influenced the Multi tasking Swarm Collective Intelligence next generation of computer scientists. he maintains strong affiliations with ieee and the australian computer society, further expanding his professional reach and scholarly influence.
Academic cites
His published work in reputable journals and conference proceedings spans key areas like machine learning, swarm intelligence, and statistical analysis. widely cited for contributions in artificial intelligence, Multi tasking Swarm Collective Intelligence and cloud systems, Dr. Debie’s academic citations reveal his authority in both theoretical and applied domains. notably, his work connects technical depth with practical relevance—blending computer science with domains such as human-computer interaction and power electronics.
Legacy and future contributions
Dr. Debie continues to shape the future of computer science education through curriculum innovation, inclusive teaching practices, and high-impact research. his vision includes fostering global collaborations, enhancing explainability in ai, Multi tasking Swarm Collective Intelligence and exploring advanced techniques in human autonomy interaction. he is poised to further integrate ai with disciplines like power electronics to optimize intelligent infrastructure, autonomous robotics, and cognitive-aware systems. his commitment to academic excellence and industry relevance sets the stage for a lasting legacy in both research and education.
Publications
Title: Generating Collective Motion Behaviour Libraries Using Developmental Evolution
Authors: Md Khan; Kathryn Kasmarik; Michael Barlow; Shadi Abpeikar; Huanneng Qiu; Essam Debie; Matt Garratt
Journal: Book Chapter
Publication Date: 2024
Title: Swarm Robotics: A Survey from a Multi-Tasking Perspective
Authors: Essam Debie; Kathryn Kasmarik; Matt Garratt
Journal: ACM Computing Surveys
Publication Date: February 29, 2024
Title: Session Invariant EEG Signatures using Elicitation Protocol Fusion and Convolutional Neural Network
Authors: Essam Debie; Nour Moustafa; Athanasios Vasilakos
Journal: IEEE Transactions on Dependable and Secure Computing
Publication Date: July 1, 2022
Title: Autonomous Recommender System for Reconnaissance Tasks Using a Swarm of UAVs and Asynchronous Shepherding
Authors: Essam Debie; Heba El-Fiqi; Justin Fidock; Michael Barlow; Kathryn Kasmarik; Sreenatha Anavatti; Matthew Garratt; Hussein Abbass
Journal: Human-Intelligent Systems Integration
Publication Date: June 29, 2021
Title: Multimodal Fusion for Objective Assessment of Cognitive Workload: A Review
Authors: Essam Debie; Raul Fernandez Rojas; Justin Fidock; Michael Barlow; Kathryn Kasmarik; Sreenatha Anavatti; Matt Garratt; Hussein A. Abbass
Journal: IEEE Transactions on Cybernetics
Publication Date: March 2021
Conclusion
Dr. Debie’s career stands as a testament to the power of interdisciplinary expertise, scholarly rigor, and inclusive education. through a combination of technical excellence, leadership, and a deep commitment to student success, he has shaped meaningful advancements in artificial intelligence, swarm robotics, and cognitive-aware systems. his integration of power electronics into ai-enabled platforms for human-autonomy interaction reflects his future-focused approach to research and teaching. as he continues to mentor, collaborate, and innovate, dr. debie is well-positioned to contribute lasting value to academic institutions and the broader technology community.