Fatima Ghadieh
Incoming PhD at the University of Toronto.
University of Toronto
American University of Beirut
After completing my bachelor of engineering in Electrical and Computer Engineering at the American University of Beirut, I am thrilled to pursue my PhD in Electrical and Computer Engineering with a focus in Systems and Control at the University of Toronto under the supervision of Professors Margaret P. Chapman and Mireille Broucke.
Throughout my time at AUB, I have worked on several worthwhile projects. I have also had the pleasant opportunity to join the Adaptive Systmes Lab at EPFL, Switzerland as a research intern during Summer 2022, under the direct supervision of PhD candidate Mr. Mert Kayaalp and Professor Ali Sayed. Our work together resulted in a journal paper titled “Policy Evaluation in Decentralized POMDPs with Belief Sharing,” which was published in IEEE OJCSYS.
My research interests encompass a diverse range of areas, including reinforcement learning, optimization, control, and multi-agent systems. Feel free to explore my website to learn more about my research, projects, and publications. I am excited about the possibilities that lie ahead and look forward to collaborating with fellow researchers and scholars in pursuit of innovative solutions to complex engineering challenges.
Download my resume.
- Reinforcement Learning
- Optimization
- Control Systems
- Deep Learning
PhD in Electrical & Computer Engineering, 2023-2028
University of Toronto
BEng in Electrical & Computer Engineering, 2023
American University of Beirut
Experience
Joined the ASL lab at EPFL as part of its Excellence in Engineering Fellowship Program, under the supervision of Professor Ali H. Sayed. Work resulted in a journal paper that was published in IEEE OJCSYS.
Multi-Agent Systems - MARL - Reinforcement Learning - Inference and Learning - Optimization
· Tracked data regarding the performance of 250+ students taking EECE 230X “Introduction to Computation and Programming” that was being offered for the first time in a mixed-learning format.
· Managed and coordinated with a team of 14 coding coaches who were conducting office hours and labs.
· Conducted surveys and participated in providing educated decision-making schemes in order to improve the delivery of the course and provide the students with a smooth experience within the course.
· Performed extensive statistical analysis and preparing bi/weekly reports regarding course performance
Data Analysis - Data Wrangling and Preprocessing - Statistical Analysis
