John Qiang Gan's Home Page

John Qiang Gan

Professor in Intelligent Systems & Robotics

John Gan's Half Marathon FundRaising Page

Research Interests

Intelligent systems and robotics, neurofuzzy systems, learning theory and algorithms, pattern recognition, signal and image processing, data mining, brain-computer interfaces, multimedia information retrieval, information fusion.

· Selected Publications

· Suggested PhD Topics

Recent Projects

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.
Novel Optical Paper Counting Technique, funded by KTP.

· AABAC: Adaptive Asynchronous Brain-Actuated Control, funded by the EPSRC.

[Demo1: Motor imagery based Essex online BCI for simulated robot control]

[Demo2: Self-paced motor imagery based Essex online BCI for real robot control]

[Demo3: Self-paced motor imagery based Essex online BCI for simulated wheelchair control]

[Demo4: Self-paced motor imagery based Essex online BCI for real wheelchair control]

[Demo5: Self-paced motor imagery based Essex online BCI for playing hangman game]

· Intelligent RoboChair, funded by The Royal Society.

[Demo1: Control by head gestures detected by a webcam]

[Demo2: Control by EMG and EOG signals detected by sensors in a headband]

· 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]

Full List of Research Projects

Richard Gray, science correspondent from Sunday Telegraph, has tried our EMG/EOG-controlled wheelchair and brain-computer interface system. Read his articles and watch a video footage here and here.

Industrial Collaboration

Prof. Gan has developed systems and software packages for 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 data analysis (mining), signal processing and image processing, robotics and intelligent control systems, preferably through the KTP programme.

Courses Taught

CE215 Robotics (2011-2012)

CE903 Group Project (2008-2012)

CE803 Human-Machine Interaction (2010-2011)

CE866 Computer Vision (2008-2010)

CE221 C++ Programming (2009-2010)

CC253 Programming with C++ (2007-2009)

CC481(CC461) Artificial Neural Networks (2000-2008)

CC466 Visual Guidance for Robotics (2003-2004)

CC122 Professional Development and Practice (2001-2002)

(Other courses taught before joining Essex include Digital Signal Processing, Principles and Models of BioComputing)

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