NGUYEN KHAC KHOI

PhD

The Institute of Electronics, Communications and Information Technology (ECIT)

Queen's University Belfast, United Kingdom

Email: knguyen02 (at) qub (dot) ac (UK), khoink94 (at) gmail (dot) com

Linkdedin: https://www.linkedin.com/in/khoink94/

Github: https://github.com/khoink94/

Researchgate: https://www.researchgate.net/profile/Khoi-Nguyen-39

Research Interests

  • 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.

Education

  • 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

Experience, Internship

  • 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.

Skills

  • 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.

Get in touch at [knguyen02 (at) qub (dot) ac (dot) uk]

or [khoink94 (at) gmail (dot) com]