Teaching Experience

  • North China Electric Power University (Professor)
    Compiler Technologies, 2024
    Foundations of Computer Science, 2023
    Compiler Technologies, 2023
    Compiler Technologies, 2022
    Operating Systems, 2022
    Compiler Technologies, 2021

  • Dublin City University (Lecturer)
    Cloud Technologies (CA675), 2020
    System Software (CA644), 2020
    Cloud Systems (CA687), 2020
    Cloud Technologies (CA675), 2019

  • University College Dublin (Guest Lecturer)
    Performance of Distributed Systems (topic: Performance Profiling), 2019
    Performance of Computer Systems (topic: Performance Profiling), 2018

  • Eindhoven University of Technology (Instructor)
    Databases and Data Modeling, 2017

  • Dresden University of Technology (Instructor)
    Distributed Systems Engineering I, 2014

  • National University of Ireland Maynooth (Demonstrator)
    Computer Architecture, 2013 – 2014
    Algorithms and Data Structures, 2012 – 2014
    Java Programming, 2012

Supervision

  • H. Zhou. LLM for Decision Making. PhD Student, 2024 - 2028.

  • Y. Gu. Advanced DRL for Cloud Systems. PhD Student, 2023 - 2027.

  • M. Wen. DRL for Edge-Cloud Collaboration. Master Student, 2023 - 2026.

  • H. Xu. Quantum Reinforcement Learning. Master Student, 2023 - 2026.

  • Z. Liu. DRL for Serverless Computing. Master Student, 2023 - 2026.

  • S. Dai. Multi-Agent DRL System for Autonomous Vehicles. Master Student, 2023 - 2026.

  • H. He. DRL for Cloud Security and Privacy Protection. Master Student, 2022 - 2025.

  • B. Xiong. DRL for Home-based Energy Management. Master Student, 2022 - 2025.

  • A. Zhang. DRL for EV Charging Scheduling. Master Student, 2022 - 2025.

  • L. Du. AI for Process Mining. Master Student, 2021 - 2024.

  • Y. Wang. DRL for Cloud Task Scheduling in the Large. Master Student, 2021 - 2024.

  • J. Zhang. DRL for Cloud Workflow Scheduling. Master Student, 2021 - 2024.

  • P. Sawalani and B. Tanpure, “Deep reinforcement learning based resource allocation for cost optimization in cloud computing”. Master Project, 2020.

  • M. Murphy, “A transfer learning based approach for KPI prediction in business process”. Master Project, 2020.

  • A. Gupta, “Energy-efficient resource provisioning for cloud data centers using deep reinforcement learning”. Master Project, 2020.

  • A. Pandey and S. Sonawane. “Cloud-based collaborative working using chatbot”. Master Project, 2020.

  • Z. Asgar and G. Shetty, “Factors influencing serverless architecture: A case study on API backend”. Master Project, 2020.

  • A. Kalapgar and A. Jain, “Task scheduling in hybrid cloud using deep reinforcement learning”. Master Project, 2020.

  • A. Ota, “Scalable frequent episode discovery over large event logs”. Master Project, 2019.

  • B. McDermott, “A blockchain-based rating and review management system for eCommerce”. Final Year Project, 2019.

  • N. Trinh, “A mobile connected health application for health and wellness”. Final Year Project, 2014.