EPSRC logo
Researcher Details
 
Name: Professor L Tarassenko
Organisation: University of Oxford
Department: Engineering Science
Current EPSRC-Supported Research Topics:

Current EPSRC Support
There is no current EPSRC Support
Previous EPSRC Support
EP/W012294/1 A Multimodal COVID-19 Database for Research(P)
EP/P009824/1 ASPIRE: Automated Sensing & Predictive Inference for Respiratory Exacerbation(C)
EP/N024966/1 Intelligent Wearable Sensors for Predictive Patient Monitoring(P)
EP/N027000/1 Fast ASsessment and Treatment in Healthcare (FAST Healthcare)(C)
NS/A000008/1 Centre of Excellence in Personalised Healthcare(P)
EP/F058845/1 The hospital of the future: improved patient outcomes through information-driven management(P)
GR/R85860/01 GRID-BASED MEDICAL DEVICES FOR EVERYDAY HEALTH (MEDICAL IMAGES AND SIGNALS - MIAS)(P)
GR/R67668/01 Distributed Aircraft Maintenance Environment: DAME(C)
GR/N14248/01 FROM MEDICAL IMAGES AND SIGNALS TO CLINICAL INFORMATION(C)
GR/N02641/01 NONLINEAR DYNAMICAL METHODS FOR BIOMEDICAL SIGNAL PROCESSING(P)
GR/M33228/01 JREI VISUAL WIRELESS RESEARCH PROGRAMME(C)
GR/M05614/01 FUNDAMENTAL ISSUES IN NOVELTY DETECTION(P)
GR/L59559/01 ROPA: MULTIPLE NEURAL NETWORK MODELS FOR LOW BIT-RATE SPEECH CODING(P)
GR/L49581/01 NEURAL NETWORK ANALYSIS OF BREAST CANCER PROGNOSIS(P)
GR/K51334/01 NOVELTY DETECTION(P)
GR/J70550/01 PULSE-STREAM VLSI FOR RADIAL BASIS FUNCTION NEURAL NETWORKS(P)
GR/J43394/01 ANALYSIS OF SIGNALS FROM SENSORS IN CIVIL ENGINEERING (ITE INITIATIVE)(C)
GR/H86028/01 QUANTIFICATION OF EEG & SLEEP TECHNOLOGIES - QUESTAR ANALYSIS AND REVIEW.(P)
GR/H41577/01 ADAPTIVE REAL-TIME NAVIGATION USING ANALOGUE VISUAL MOTION SENSORS(P)
GR/H17060/01 LEARNING STRATEGIES AND VLSI CIRCUITS FOR AUTONOMOUS LEARNING IN NEURAL NETWORKS(C)
GR/H16643/01 LEARNING STRATEGIES AND VLSI CIRCUITS FOR AUTONOMOUS LEARNING IN NEURAL NETWORKS(P)
GR/G59844/01 CMOS NEURAL INTEGRATED CIRCUITS WITH ELECTRONICALLY PROGRAMMABLE AMORPHOUS SILICON MEMORY DEVICES(C)
GR/G06404/01 DESIGN OF PULSE-STREAM NEURAL INTEGRATED CIRCUITS WITH AMORPHOUS SILICON SYNAPSES(C)
GR/F02670/01 THE DEVELOPMENT OF FULLY PROGRAMMABLE ANALOG VSLIDEVICES FOR THE ELECTRONIC IMPLEMENTATION OF NEURAL NETWORK(C)
Key: (P)=Principal Investigator, (C)=Co-Investigator, (R)=Researcher Co-Investigator