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Maryam Haghifam I’m Maryam Haghifam, a Machine Learning Researcher at the Robust and Intelligent Machine Learning Lab, where I specialize in zero-shot and few-shot VLM-guided anomaly detection. Prior to this, I worked as a Computer Vision and AI Research Engineer at EAIGLE Inc., and as a graduate researcher in the Department of Computer Science at the University of Toronto, focusing on privacy and optimizing the runtime efficiency of large models. |
Education |
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Department of Computer Science MSc Student Supervisors: Prof. Gennady Pekhimenko and Prof. Nandita Vijaykumar September 2021 - August 2023 |
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Department of Electrical and Computer Engineering BSc Student Supervisor: Prof. Vahid Shah-Mansouri September 2016 - June 2021 |
Research |
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Proteus: Preserving Model Confidentiality during Graph Optimizations Yu Bo Gao, Maryam Haghifam, Renbo Tu, Christina Giannoula, Gennady Pekhimenko, Nandita Vijaykumar Proceedings of the 5th MLSys Conference, 2024 Design and Evaluation of Crowd-sourcing Platforms Based on Users’ Confidence Judgments Samin Nili Ahmadabadi, Maryam Haghifam , Vahid Shah-Mansouri, Sara Ershadmanesh Published in Scientific Reports journal. |
Work Experience |
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Robust and Interpretable Machine Learning Lab PI: Prof. Mohammad Hossein Rohban Machine Learning Researcher July 2024 - Present |
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Computer Vision and AI Researcher June 2023 - March 2024 |
Service |
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MLSys 2023: Artifact and Paper Code Evaluator EuroSys 2022: Paper Reviewer |
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© 2024 Maryam Haghifam. All Rights Reserved. |