NGUYEN KHAC KHOI
NGUYEN KHAC KHOI
Deep Learning, Deep Reinforcement Learning, Machine Learning, Big Data, Data Analysis.
Internet of Things, Reconfigurable Intelligent Surface, 5G Networks, D2D Communications, Wireless Communications,
UAV Communications, Energy-Efficiency Networking, Wireless Power Transfer, Energy Harvesting.
Digital Twin, Quality of Service, Performance Analysis, Network Virtualization.
Network Security, Cyberattack Detection, Cybersecurity, Anomaly Detection.
Data Visualization, Recommendation System, Image Processing.
ECIT, Queen's University Belfast, United Kingdom
PhD., (February 2019 - April 2022), Electrical & Electronic Engineering and Computer Science.
Research Topic: Machine Learning Paradigms for Massive IoT
Thesis: Reconfigurable Intelligent Surface and UAV-assisted Wireless Communications: A Deep Reinforcement Learning Approach
Hanoi University of Science and Technology, Vietnam
B. Eng., (Distinction) (Aug 2012 - Mar 2018), Information and Communication Technology: 3.33/4.0 (8.33/10) (Top 1%)
Thesis: Cyberattack Detection on Mobile Cloud Computing: A Deep Learning Approach
Staff (October 2018 - November 2018)
Money Forward Vietnam, Ho Chi Minh, Vietnam.
Ruby on Rails Developer (Japanese, English, Vietnamese)
Research Assistant (March 2017 - October 2017),
School of Computer Science and Engineering, Nanyang Technological University, Singapore.
Research on Cyberattack Detection in Mobile Cloud Computing.
Caching on 5G Network.
Recommendation Systems.
Internship (June 2016 - October 2016):
Step Ltd.Co, Sendai, Miyagi, Japan.
Tax Systems Development.
Programming Languages: C, Python, R, Ruby.
Mathematical Analysis: Optimisation, Deep Learning, Deep Reinforcement Learning.
Framework: Tensorflow, Scikit-learn, Ruby on Rails, CakePHP, Virtual Studio.
Language: English, Japanese, Vietnamese.
Office Tools: LaTeX, Git, Microsoft Office Tools.