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Research Interests

My research broadly spans the areas of data science, signal processing, machine learning, and artificial intelligence. The overarching theme of my work has been the design and development of models and algorithms that can extract actionable and interpretable insights from multi-aspect/multi-modal data, typically with very little or no supervision. A major focus of my research has been on the development and advancement of tensor methods and their applications in high-impact real-world problems, including misinformation detection on the web, graph and social network analytics and mining, explainable AI, and detection of gravitational waves.

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Contact

Email

  • epapalexcs dot ucr dot edu
  • vagelis.papalexakisgmail dot com

Location

3132 Multidisciplinary Research Building
Computer Science & Engineering Department
University of California Riverside
900 University Ave
Riverside, CA 92521
USA

Web Presence

Courses

Currently teaching:

CS-235 Data Mining Techniques, Fall 2021, UCR (Graduate)

Previous courses:

CS-235 Data Mining Techniques, Spring 2021, UCR (Graduate)

CS-171 Introduction to Machine Learning and Data Mining, Winter 2021, UCR (Undergraduate)

CS-235 Data Mining Techniques, Fall 2020, UCR (Graduate)

CS-235 Data Mining Techniques, Spring 2020, UCR (Graduate)

CS-171 Introduction to Machine Learning and Data Mining, Winter 2020, UCR (Undergraduate)

CS-235 Data Mining Techniques, Fall 2019, UCR (Graduate)

CS-235 Data Mining Techniques, Spring 2019, UCR (Graduate)

CS-171 Introduction to Machine Learning and Data Mining, Spring 2019, UCR (Undergraduate)

CS-235 Data Mining Techniques, Fall 2018, UCR (Graduate)

CS-171 Introduction to Machine Learning and Data Mining, Spring 2018, UCR (Undergraduate)

CS-235 Data Mining Techniques, Spring 2018, UCR (Graduate)

CS-235 Data Mining Techniques, Fall 2017, UCR (Graduate)

CS-260 Data Mining Using Tensor Methods, Spring 2017, UCR (Graduate)

CS-235 Data Mining Techniques, Fall 2016, UCR (Graduate)