Hongxiang Fan

Assistant Professor (incoming), Imperial College London.
Affiliated Researcher, University of Cambridge.
Research Scientist, Samung AI Center Cambridge

👨‍💼 Industrial Experience

Samsung AI Center, Cambridge, UK (SAIC)

(2021.12 - Present)

  • Machine Learning Researcher Intern.
  • Focus on accelerating deep neural networks using domain specific architecture.
Samsung Research & Development Institute, Staines, UK (SRUK)

(2019.11 - 2020.03)

  • Machine Learning Intern.
  • Focus on personalization and natural language processing.
Corerain Technologies, China

(2019.11 - 2020.03)

  • AI Researcher.
  • Focus on algorithm-hardware co-deisng optimization and acceleration of deep learning algorithm, including compression and hardware acceleration for CNNs.

👨‍🏫 Teaching Experience

Michaelmas Term, Part 1A, Digital Electronics

Department of Computer Science and Technology, University of Cambridge , 2023

  • College supervisor for St John’s, Girton and Peterhouse colleges.
Michaelmas Term, Part 1B, Introduction to Computer Architectures

Department of Computer Science and Technology, University of Cambridge , 2023

  • College supervisor for St John’s, Girton and Peterhouse colleges.
Michaelmas Term, Part 3 & Mphil., Principles of Machine Learning Systems

Department of Computer Science and Technology, University of Cambridge , 2023

  • Lab instructor, orgnizing, preparing and supervising hand-on Practical sessions.
Spring, CO-40008, Introduction to Computer Architecture

Department of Computing, Imperial College London , 2021

  • Graduate Teaching Assistant.
  • Basic knowledge about computer architecture (CPU, GPU etc.).
CO-60008, Custom Computing, Spring

Department of Computing, Imperial College London, 2021, 2022

  • Graduate Teaching Assistant.
  • Custom hardware and dataflow-based programming (FPGA, MaxJ).
CO-40p01, Introduction to Computer System, Autumn

Department of Computing, Imperial College London, 2020

  • Graduate Teaching Assistant.
  • Fundamental understanding of the organisation and operation of a computer system.
CO-97101, Introduction to Machine Learning , Autumn

Department of Computing, Imperial College London, 2020

  • Graduate Teaching Assistant.
  • Basic knowledge about deep learning and reinforcement learning.
NOVA Summer School

Zhuhai, China, 2019

  • Lead of teaching assistant.
  • High-performance deep learning accelerator.
PAPAA Summer School

Hongkong, China, 2018

  • Teaching assistant.
  • Dataflow programming for deep learning applications.

🏫 Educational Experience

University of Cambridge

Affiliated Postdoctoral Researcher

2022 - present

Imperial College London

Doctor of Philosophy (Ph.D.) in Advanced Computing

2018 - 2022

Imperial College London

Master of Research (MRes) in Advanced Computing

2017 - 2018

Nanyang Technological University

Exchange Student in Electrical and Electronic Engineering

2015.07 - 2016.01

Tianjin University

Bachelor of Engineering (B.Eng.) in Electrical and Electronic Engineering

2013 - 2017