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Research projects

• A
  • ABRI
  • ABS: Abstract Behavioral Specification
  • ARVI: Runtime Verification beyond Monitoring

• C
  • CESAR: Using Complex Event Processing for Low-threshold and Non-intrusive Sleep Apnea Monitoring at Home
  • CIUS: Centre for Innovative Ultrasound Solutions
  • Collaboration on Intelligent Machines (COINMAC)
  • COST Action: Fractional-order systems
  • CPS Lab at UiO for Cyber Physical Systems
  • Cumulus

• D
  • DILUTE: Fluid Service Abstraction for Large-Scale Cloud IoT Systems

• E
  • Envisage: Engineering Virtualized Services
  • ESA Ka band

• F
  • FIGI: From IT Silos to Generative Infrastructures
  • Force: Imaging the Force of Cancer

• G
  • Gemini Centre on IoT at UiO
  • GoRETech: Go Runtime Enforcement Techniques
  • GravidPluss

• H
  • HyVar: Scalable Hybrid Variability for Distributed Evolving Software Systems

• I
  • Improved Imaging and Quantitative Identification of acoustic tissue properties with dual band ultrasound pulse
  • Infrastructure-less indoor positioning in 3D

• K
  • KINT: From local breakthroughs in knowledge to integration in medical practice

• M
  • mHealth4Afrika
  • Models4IoT - A new Research Focus at IFI and PMA
  • Multimodal Elderly Care Systems (MECS)

• N
  • NEAT
  • Noninvasive monitoring of intracranial pressure from transcranial acoustic signals

• O
  • OCARINA: Optimizations to Compel Adoption of RINA
  • Optique: Scalable End-User Access to Big Data
  • Oslo Analytics

• R
  • RailCons: Automated Methods and Tools for Ensuring Consistency of Railway Designs

• S
  • Sentiment Analysis for Norwegian Text
  • SMART | Mobile Phones
  • SmartNEM: Smart Community Neighborhood - driven by energy informatics
  • SMT4ABS

• T
  • Talk of Norway
  • The Genomic HyperBrowser
  • The Intelligent Cardiovascular Ultrasound Scanner
  • The Language Analysis Portal
  • TOCSA: Threat Ontologies for CyberSecurity Analytics
  • TRAMP Realtime Application Mobility Platform

• U
  • UDFeed; universal design for learning and instruction: What tools do we use for supporting feedback from students?