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Researcher Details
 
Name: Professor D Hogg
Organisation: University of Leeds
Department: Sch of Computing
Current EPSRC-Supported Research Topics:
Artificial Intelligence Biophysics
Chemical Structure Condensed Matter Physics
Design & Testing Technology Lasers & Optics
Magnetism/Magnetic Phenomena Materials Characterisation
Optical Phenomena Quantum Optics & Information
Surfaces & Interfaces

Current EPSRC Support
EP/S024336/1 UKRI Centre for Doctoral Training in Artificial Intelligence for Medical Diagnosis and Care(P)
EP/S016406/1 Assuring the quality of design descriptions through the use of design configuration spaces(C)
EP/S01540X/1 Analysing the Motion of Biological Swimmers(P)
EP/P001556/1 Multifunctional Scanning Microscopy(C)
EP/P00122X/1 3D Volume Microscopy and TEM Sample Preparation of Complex Hybrid Nanostructures(C)
EP/P001394/1 Ti:Sapphire Regenerative Amplified Laser System for ultrafast, high-field terahertz photonics(C)
EP/J021156/1 University of Leeds-Equipment Account(P)
Previous EPSRC Support
EP/R008833/1 Multi-Disciplinary Pedestrian-in-the-Loop Simulator(C)
EP/P511341/1 Institutional Sponsorship 2016- University of Leeds(P)
EP/P51097X/1 EPSRC Global Challenges Research Fund Institutional Sponsorship Award 2016 - University of Leeds(P)
EP/N005694/1 Embedding design structures in engineering information(C)
EP/N508809/1 Institutional Sponsorship 2015- University of Leeds(P)
EP/M02010X/1 A Network for Regional e-Infrastructure Centres(C)
EP/M028143/1 Experimental Equipment Call - University of Leeds(P)
EP/K503836/1 Impact Acceleration Account - University of Leeds 2012(P)
EP/K000209/1 E-Infrastructure Connectivity(C)
EP/K503526/1 Institutional Sponsorship 2012- University of Leeds(P)
EP/K000225/1 E-Infrastructure Interconnectivity EPSRC - Chris Taylor(C)
EP/I01229X/1 Learning to Recognise Dynamic Visual Content from Broadcast Footage(C)
EP/E010164/1 Cognitive Systems Foresight: Human Attention and Machine Learning(P)
EP/D061334/1 Learning about Activities from Video(P)
GR/M33730/01 COMPUTATIONAL SIMULATIONS MORPHOGENETIC PROCESSES TO EVOLVE REALISTIC LIFE-FORMS USING ADAPTIVE 3D MESHES(C)
GR/K45814/01 MODEL-BASED VISUAL SURVEILLANCE(P)
GR/J48887/01 INTELLIGENT DEFORMABLE MODELS FOR 2D AND 3D MEDICAL IMAGE SEGMENTATION(C)
GR/D58260/01 A HIGH PERFORMANCE VERSION OF THE POPLOG VIRTUAL MACHINE(P)
Key: (P)=Principal Investigator, (C)=Co-Investigator, (R)=Researcher Co-Investigator