1
LONG CHEN
Research Interests
I am broadly interested in machine learning and deep learning as well as their practical applications. My
research
online sources. My previous research includes traffic forecasting, question answering, user engagement
modelling, and text mining. My passion lies in innovative research for solving real-world problems with
complex and large-scale data using my data mining research experience.
Employment
Feb 2018–present
Innovation Research Fellow (Line Manager: Dr JinhYun Hong)
Urban Big Data Center, Glasgow
Title: Social and economic implications of transport sharing and automation
Research Assistant on EPSRC S4 Programme Grant (PI: Prof. Joemon Jose) Feb 2015–Feb 2018
School of Computing Science, University of Glasgow
Keywords: topic modelling, event detection, semantic web
Aug 2014– Feb 2015 Intern (PI:Liam Ellis )
Wonga, London
Keywords:
scorecard, risk modelling
Education
2009 – 2014
PhD School of Computing Science – Birkbeck, University of London
Supervisors: Dell Zhang and Mark Levene
Title: Understanding and exploiting user intent in community question answering
Master’s degree in Computer Science, Central China Normal University 2006 – 2009
2002 – 2006
Bachelor’s degree in Computer Science, Central China Normal University
Teaching
As part of my PhD and Research Fellow position, I have been a teaching assistant from 2013 until now in the
following courses:
•
Feb 2020– Feb 2021
Programming Tools for Urban Analytics, University of Glasgow (Lecture
9 Machine Learning and Deep learning, which is also available on Moodle)
•
Feb 2017– Feb 2019
Web Science, University of Glasgow (Lecture 5, NoSQL, Lecture 7, Deep
Learning)
•
Feb 2013– Feb 2014
Quantitative Method, University of London (Lecture 8, Statistical Analysis
Using SPSS)
COMPUTER EXPERTISE
•
In-depth
R, C#, and C++
•
In-depth understanding of statistical tools such as SPSS, Matlab, and Excel
•
Skilled in SQL queries, MongoDB, VISUM, VISSIM