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Kangwook Lee

Kangwook Lee

Associate Professor

Department

Electrical & Computer Engineering

Contact

M1002G, Engineering Centers Building
1550 Engineering Dr
Madison, WI

Professor Kangwook Lee - Department of Electrical and Computer Engineering at UW–Madison

  • PhD 2016, Univ. of California-Berkeley
  • MS 2012, Univ. of California-Berkeley
  • BS 2010, Korea Advanced Institute of Science and Technology (KAIST)

  • machine learning
  • deep learning
  • information theory
  • coding

  • 2024 Amazon, Amazon Research Awards (Fall 2023)
  • 2024 National Science Foundation, NSF CAREER Award
  • 2023 MLSys Workshop on Federated Learning Systems, Best Paper Award
  • 2022 Dept. of Electrical & Computer Engineering, University of Wisconsin-Madison, Grainger Faculty Scholarship Award
  • 2022 The Korean-American Scientists and Engineers Association (KSEA), Young Investigator Grants Award
  • 2021 IEEE, Most cited paper published in IEEE Transactions of Info. Theory between 2016 and 2020
  • 2020 IEEE, IEEE Joint Communications Society/Information Theory Society Paper Award
  • 2018 Brain Korea 21 , Research Professor Fellowship
  • 2017 GCORE , GCORE Post-doctoral Fellowship
  • 2016 Brain Korea 21, Post-doctoral Fellowship
  • 2016 University of California-Berkeley, Outstanding Graduate Student Instructor Award
  • 2010 KFAS , PhD Fellowship (Full funding for five years)
  • 2010 KAIST, Graduated with the highest GPA
  • 2009 KOFAC, Korea Talent Award (Presidential Award)

  • COMP SCI 682 - Senior Honors Thesis (Spring 2025)
  • COMP SCI 799 - Master's Research (Spring 2025)
  • COMP SCI 990 - Dissertation (Spring 2025)
  • E C E 570 - Ethics of Data for Engineers (Spring 2025)
  • E C E 890 - Pre-Dissertator's Research (Spring 2025)
  • E C E 990 - Dissertator's Research (Spring 2025)
  • I SY E 570 - Ethics of Data for Engineers (Spring 2025)
  • COMP SCI 539 - Introduction to Artificial Neural Networks (Fall 2024)
  • COMP SCI 681 - Senior Honors Thesis (Fall 2024)
  • COMP SCI 702 - Graduate Cooperative Education (Fall 2024)
  • COMP SCI 799 - Master's Research (Fall 2024)
  • COMP SCI 990 - Dissertation (Fall 2024)
  • E C E 539 - Introduction to Artificial Neural Networks (Fall 2024)
  • E C E 699 - Advanced Independent Study (Fall 2024)
  • E C E 890 - Pre-Dissertator's Research (Fall 2024)
  • E C E 990 - Dissertator's Research (Fall 2024)
  • M E 539 - Introduction to Artificial Neural Networks (Fall 2024)
  • COMP SCI 702 - Graduate Cooperative Education (Summer 2024)
  • COMP SCI 990 - Dissertation (Summer 2024)
  • E C E 890 - Pre-Dissertator's Research (Summer 2024)
  • COMP SCI 699 - Directed Study (Spring 2024)
  • COMP SCI 799 - Master's Research (Spring 2024)
  • COMP SCI 899 - Pre-Dissertator Research (Spring 2024)
  • E C E 570 - Ethics of Data for Engineers (Spring 2024)
  • E C E 790 - Master's Research (Spring 2024)
  • E C E 890 - Pre-Dissertator's Research (Spring 2024)
  • E C E 990 - Dissertator's Research (Spring 2024)
  • I SY E 570 - Ethics of Data for Engineers (Spring 2024)
  • COMP SCI 699 - Directed Study (Fall 2023)
  • COMP SCI 702 - Graduate Cooperative Education (Fall 2023)
  • COMP SCI 799 - Master's Research (Fall 2023)
  • COMP SCI 899 - Pre-Dissertator Research (Fall 2023)
  • E C E 699 - Advanced Independent Study (Fall 2023)
  • E C E 890 - Pre-Dissertator's Research (Fall 2023)
  • E C E 990 - Dissertator's Research (Fall 2023)
  • COMP SCI 702 - Graduate Cooperative Education (Summer 2023)
  • COMP SCI 799 - Master's Research (Summer 2023)
  • COMP SCI 899 - Pre-Dissertator Research (Summer 2023)
  • E C E 890 - Pre-Dissertator's Research (Summer 2023)
  • E C E 990 - Dissertator's Research (Summer 2023)