Machine Learning Research Intern, Ericsson Canada, Jan. 2024 - Dec. 2024
Research on distributed machine learning and knowledge distillation frameworks to enable collaborative model training across heterogeneous edge devices, improving scalability, efficiency, and privacy preservation in communication systems.
Research Intern, Samsung AI Center Montreal, Nov. 2020 - May 2023
Research on advanced AI techniques for large-scale KPI and time-series system modeling, leveraging reinforcement learning, continual learning, and feature engineering to adapt to dynamically evolving data distributions and system variability.
Generative Foundation Models (GFMs) for NextG Communication Networks: Fundamentals, Key Techniques, and Future Directions, IEEE International Conference on Communications (ICC) Tutorials, June 8, 2025.
Large Language Models (LLMs) for NextG Wireless Networks, IEEE Future Networks Seminar, September 5, 2024.
Teacher-Student Architecture of Knowledge Distillation, Unify AI, March 8, 2024.
Adaptive Feature Boosting for Smart Grid Intrusion Detection, McGill CS Systems Seminar, February 3, 2022.
Improving Communication Load Forecasting Accuracy with Adaptive Feature Boosting, Montreal AI Symposium (MAIS), December 8, 2021.
GREAT Award, McGill University, 2023
Graduate Excellence Award, McGill University, 2019-2023
Split Concordia Merit Scholarship, Concordia University, 2017-2019
Outstanding Student Award (1st class), Northwest University, 2017
Meritorious Winner, Mathematical Contest in Modeling (MCM Contest), 2016
Northwest University Merit Scholarship (top 2%), Northwest University, 2015-2017
Zhongjiao Tongli Scholarship (top 1%), Northwest University, 2015
Undergraduate Student Research Intern, Student Mentor, Concordia University, Summer 2023, Summer 2022, Summer 2019
COMP535 Computer Networks, Teaching Assistant, McGill University, 2020 Winter, 2023 Winter
SOEN390 Software Engineering Team Design Project, Teaching Assistant, Concordia University, 2019 Winter
SOEN6841 Software Project Management, Teaching Assistant, Concordia University, 2018 Fall
Contributor, IEEE ComSoc Best Readings in Generative Foundation Models for NextG Communication Networks, Dec. 2025.
Technical program committee member: IEEE HDIS 2022-2023.
Technical reviewer (selected): IEEE TMC 2025, ICLR 2025, ACM TCPS 2021-2025, ACM KDD 2024, ACM e-Energy 2023-2024, ACM/IEEE ICCPS 2021-2024, IEEE TNSE 2023, IEEE IoT-J 2023.