Courses

Uppsala University, Sweden

• 2019-2025: Natural Computation Methods for Machine Learning
  Master’s level course (10 credits)

• 2023-2024: Imperative and object-oriented programming methodology
  Bachelor’s level course (10 credits)

• 2022-2024: Project CS
  Master’s level project course (30 credits)

• 2019-2021: Introduction to Studies in Embedded Systems
  Master’s level course (5 credits)

Thesis Supervision

• 2021: Exploring properties and limitations of Graph Neural Networks (GNNs) in Software Verification
  Student: Kexin Xu
  Master’s Thesis
  Uppsala University, Sweden

Project Supervision

• 2024: Federated Learning meets Large Language Models
  Student: Mahtab Mirhaj, Oguzhan Ersoy, Yixin Huang, Shiqi Shu
  Master’s Project
  Ericsson Research & Uppsala University, Sweden

• 2023: Distributed Mobility Prediction in Telecommunication networks
  Student: Shreyansh Singh, Lifang Zheng, Savvas Giortsis, Tobias Lass, Yilei Zheng, Salum Nassor
  Master’s Project
  Ericsson Research & Uppsala University, Sweden

• 2022: Shortest Path Reliable Estimation: Applying Graph Neural Networks - SpreadNet
  Student: ChanVuth Chea, Boli Gao, Jennifer Gross, Haouyuan Li, Paarth Sanhotra, George-Alexandru Stoian, Sofia Afnaan Syed, Haodong Zhao
  Master’s Project
  Ericsson Research & Uppsala University, Sweden

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Teaching has been an integral part of my academic journey, allowing me to share knowledge and mentor students in their research endeavors. I particularly enjoy working with students on projects that bridge theoretical computer science with practical applications.