
معرفی
Dr. Heba El-Fiqi is a Lecturer at the School of Engineering and Information Technology (SEIT), UNSW Canberra. Her research focuses on artificial intelligence, swarm intelligence, machine learning, and computational linguistics. Notable contributions include a novel AI-based solution for air traffic control using swarm robotics and the development of the Weighted Gate Layer Autoencoders (WGLAE) for EEG signal recovery. She holds an IEEE active membership, co-chaired Women in Artificial Intelligence (WAI) activities, and served on conference program committees (AAAI, IJCAI, ECAI).
Education:
- PhD in Computer Science (2013): UNSW, Thesis: "Detection of Translator Stylometry using Pair-wise Comparative Classification and Network Motif Mining"
- Master of Computer Science (2009): Cairo University, Thesis: "An Intelligent System for Tracking Network Attacks"
Research Interests:
- Swarm robotics, autonomous systems, and AI for air traffic management
- Machine learning applications in signal recovery and medical diagnostics
- Computational linguistics and translator stylometry
Awards:
- Dell EMC Award of Distinction (2017)
- IBM Big Data Developer - Instructor Award for Educators (2017)
Teaching & Supervision:
- Course Coordinator for ZEIT4150 (Artificial Intelligence) and ZEIT4151 (Machine Learning)
- Supervised over 10 undergraduate engineering projects, including work on deep reinforcement learning for autonomous combat and humanoid robot navigation
Labs & Teams:
Active in UNSW's AI research community, contributing to initiatives like Canberra AI Week and Women in Engineering (WIE) leadership roles.
Heba El-Fiqi در سایتهای دیگر
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