Dr Richard Jiang

Senior Lecturer

Profile

Dr. Richard Jiang is a Senior Lecturer (Associate Professor) in the School of Computing & Communications at Lancaster University, UK. He currently holds a Leverhulme Trust Research Fellowship. He is a Fellow of HEA, an Associate Member of EPSRC College, and an EPSRC RISE Connector.

Current Research

Dr Jiang's research interest mainly resides in the fields of Biometrics, Privacy & Security, Intelligent Systems, and Biomedical Image Analysis. His recent research has been supported by grants from EPSRC (EP/P009727/1), Leverhulme Trust (RF-2019-492), Qatar National Research Fund (NPRP No.8–140-2–065) and other industry/international funders. He has supervised and co-supervised over 10 PhD students. He authored over 60 publications and is the lead editor of three Springer books. He served as a TPC member and a reviewer for various international conferences and journals.

Research Grants

Face2Gene: Genetic Identity behind Deep Facial Features, PI, Leverhulme Research Fellowship, 2019-10 to 2020-09|Grant (GRANT_NUMBER: RF-2019-492)

Privacy-Protected Human Identification in Encrypted/Transformed Domains, PI, Engineering and Physical Sciences Research Council (Swindon) 2017-05 to 2019-10|Grant (GRANT_NUMBER: EP/P009727/1)

A Biologically-inspired Multi-sensor and Multi-modal System for Public Security, Co-I, Qatar National Research Fund (Doha) 2016-09 to 2019-08|Grant (GRANT_NUMBER: NPRP No.8–140-2–065)

Career Details

Mar 2019 ~ now: Senior Lecturer (Associate Professor), Lancaster University;

Aug 2015 ~ Mar 2019: Senior Lecturer, Northumbria University;

May 2013 ~ July 2015: Lecturer, Northumbria University;

Oct 2012 ~ May 2013: Research Associate, Sheffield University;

Oct 2011 ~ Sept 2012: Research Associate, Bath University;

Professional Role

A recognized EPSRC RISE Connector, 2018-2019;

Associate Member of EPSRC College, 2017~Now;

Fellow of Higer Education Assocation, 2015~Now;

Current Teaching

SCC-361 Artificial Intelligence

SCC-300 Third Year Projects

DSS-591 MSc Data Science Projects

PhD Supervisions Completed

1) Gary Storey, PhD, 2015-2018; Research Fellow, Loughborough University, 2019-2020.

2) Ranjith Kumar Dinakaran, PhD, 2016-2019; KTP Researcher, Teeside Univ, 2019-2020.

PhD Supervision Interests

Artificial Intelligence, Intelligent Systems, Biomedical Image Analysis

Publications
Projects
Activities
PhD Students
Research Groups

Selected Publications

Shallow Unorganized Neural Networks Using Smart Neuron Model for Visual Perception
Jiang, R., Crookes, D. 31/10/2019 In: IEEE Access. 7, p. 152701-152714. 14 p.
Journal article

Emotion recognition from scrambled facial images via many graph embedding
Jiang, R., Ho, A.T.S., Cheheb, I., Al-Maadeed, N., Al-Maadeed, S., Bouridane, A. 1/07/2017 In: Pattern Recognition. 67, p. 245-251. 7 p.
Journal article

Integrated Deep Model for for Face Detection and Landmark Localization From "In The Wild " Images
Storey, G., Bouridane, A., Jiang, R. 19/11/2018 In: IEEE Access. 6, p. 74442-74452. 11 p.
Journal article

Social Behavioral Phenotyping of Drosophila with a 2D-3D Hybrid CNN Framework
Jiang, Z., Chazot, P.L., Celebi, M.E., Crookes, D., Jiang, R. 15/05/2019 In: IEEE Access. 7, p. 67972 - 67982. 11 p.
Journal article

3DPalsyNet: A Facial Palsy Grading and Motion Recognition Framework Using Fully 3D Convolutional Neural Networks
Storey, G., Jiang, R., Keogh, S., Bouridane, A., Li, C. 10/09/2019 In: IEEE Access. 7, 10 p.
Journal article

Target-Aware High-Quality Video Generation via 3D CNN based Adversary Learning for Self-Driving Vehicles
01/03/2020 → 28/02/2021
Research

Face2Gene: Genetic Identity behind Deep Facial Features
01/08/2019 → 28/02/2021
Research

Privacy-Protected Human Identification in Encrypted/Transformed Domains
24/05/2019 → 23/12/2019
Research

Privacy-Protected Human Identification in Encrypted/Transformed Domains
14/05/2017 → 28/02/2019
Research

International Conference on Robotics and Artificial Intelligence (Event)
Membership of committee

Deep Biometrics for Medical Applications
Invited talk