John Qiang Gan
Professor in Artificial Intelligence & Robotics
Machine learning, artificial intelligence, robotics, signal and image processing, pattern recognition, brain-computer interfaces, human-machine interaction, intelligent systems, health informatics, data and text mining (Big Data).
Would machine learning, machine intelligence, or artificial intelligence be a great driver of change over the coming decades, similar to the Internet in the past 20 years? Google and Facebook have answered this question very positively. Google paid $400m for UK artificial intelligence startup DeepMind. Facebook hired deep learning guru Prof. Yann LeCun to run its new Artificial Intelligence Lab (I visited LeCunís department at AT&T Bell Laboratories and had a discussion on the Neocognitron and his convolutional neural network over lunch in 1993).†
SHOAL: Search and monitoring of Harmful contaminants, other pollutants and leaks in vessels in port using a swarm of robotic fish, funded by the Seventh Framework Programme of the European Commission.
Intelligent RoboChair, funded by The Royal Society.
Building a Fast Biped Running Robot with Biologically-inspired Neuro-mechanical Design, funded by the RPF of Essex University.
[Demo1: Biped walking robot at Essex]
Prof. Gan has developed systems and software packages for signal processing and visual tracking, OCR systems for handwritten document recognition and analysis, a software package for robotic arm control. He is keen to collaborate with industry in the areas of machine learning, data analysis (mining), health informatics, sensory information processing, computer vision, robotics and intelligent control systems, preferably through the KTP programme.
CE804 Digital Signal Processing (2012-2015)
CC401/406 MSc Project and Dissertation (2002-2006)
1999-2015 University of Essex.
This page was last modified by John Gan in Jan. 2015