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fedod's Introduction

😄 I am an Assistant Professor at USC Computer Science; see the latest information at my homepage.

Prospective Students.We plan to recruit 1-2 Ph.D. students for Fall 2025. For undergraduate/graduate interns, it will be considered on a case basis. I personally do not want to have a large group of "interns" without enough support. See details at my homepage.

🌱 Research Interests. My work focuses on creating robust, efficient, and automated machine learning (ML) and data mining (DM) algorithms, systems, and applications. My primary areas of interest are:

  1. Robustness and Security of AI: Enhancing the robustness and security of AI systems through out-of-distribution (OOD) detection, outlier detection, and anomaly detection.
  2. Efficient and Scalable AI: Developing efficient and scalable ML systems and automation techniques.
  3. Applications in Security, Finance, and Healthcare: Applying AI technologies to address complex problems in security, finance, and healthcare sectors.

Open-source Contribution: I created PyOD (used by NASA, Tesla, Morgan Stanley, and more) - the most popular library for anomaly detection in 2017. Also, I have led more than 10 ML open-source initiatives, receiving 20,000 GitHub stars (top 0.002%) and >22M downloads. Popular ones: PyOD, PyGOD, TDC, ADBench

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