i-KNOW

Innovation Centre for Intelligent Information Processing at Ghent University

Data Processing Pipelines

Cutting-edge innovation. We design custom-tailored pipelines for processing your data

Trusted partner. Experienced in research collaborations for commercial and scientific applications

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i-KNOW Innovation Centre for Intelligent Information Processing

Building 3, UFO campus site

Ghent University

B-9000 Ghent, Belgium

WHO WE ARE

i-KNOW Innovation Center is a multidisciplinary consortium of researchers from Ghent University set to bring our discoveries to use in order to spur innovation on data processing and interpretation. The center groups experts on technology (computing systems, big data management, intelligent data analysis and fusion algorithms, machine learning and artificail intelligence) and application domain experts (sustainable mobility, precision agriculture, soil management).

Some of our researchers are affiliated also with imec or with FlandersMake.

i-KNOW is one of the expertise-based Business Development Centers within the Industrial Liaison Network of the Ghent University Association.

WHAT WE DO

We engage with stakeholders and we foster and develop research partnerships and collaborations with industry and other organizations. Our offer includes

  • providing research services to support our partners in adding value to their customers and adding value to society
  • taking part in collaborative research projects
  • facilitating knowledge transfer activities and intellectual property licensing
  • assesing the potential and stimulating and supportign our researchers in creating spin-offs

We nurture long-term relationships of trust and shared commitment with all of our partners.

We will spend time to understand your unique goals, then design a custom-tailored approach to help you reach your peak potential. We invite you to contact us to find out how we can help you on your next data-driven research and innovation project.

Our expertise

i-KNOW is dedicated to fueling innovation by harnessing the power of intelligent data processing and interpretation to develop next-generation solutions, especially for

  • emerging drone-based applications and
  • safe, sustainable and smart mobility applications.

Our research expertise spans the entire data capture-to-interpretation pipeline, ranging from design and execution of measurement campaigns (e.g. ground and aerial mapping of archaeological sites, forestland, crops; proximal soil sensing…), over data preprocessing and storing for efficient access, to mathematical and computational modelling supported by high-performance computing approaches, ending with data interpretation and explaining the results of the analysis.

Data Processing Pipelines

Technology

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Cooperative sensor fusion

Sensors within the system directly affect each other’s processing. As a result, pedestrian miss rate in difficult circumstances is reduced by over 20% compared to conventional late fusion aproaches.

Flood Impact Assessment Tool

FLIAT is a software solution for accurate automatic assessment of the impact/damage (economic, social, ecological and cultural) caused by a specific flood event.

QUASAR

New programming language that speeds up image reconstruction and video processing by 10 to 100 times through faster and easier programming of GPU/CPU parallel computing.

Sniper Multi-Core Simulator

Next generation parallel, high-speed, accurate x86 simulator. Flexible simulation options for exploring different homogeneous and heterogeneous multi-core architectures.

Soleway indoor navigation

An application for indoor navigation, helps you find your way within large indoor spaces (hospitals, office buildings, shopping centers…) fast, easy, and stress-free.

Research & Innovation projects

i-KNOW researchers are actively engaged in research and innovation projects on different TRL levels. We collaborate with world leading companies, such as Intel, TomTom, NXP Semiconductors, Robert Bosch, FLIR Systems, Philips Healthcare, Barco, and research bodies, such as the French Alternative Energies and Atomic Energy Commission (CEA), the Spanish National Research Council (CSIC), to name a few.

We work directly with companies in bilateral research projects or as part of multi-partner consortia in subsidized projects with companies, research organisations and (non-)governmental organisations.

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Next Perception

Our UGent/imec team investigates cooperative sensor fusion in support of safety and comfort at road intersections especially for vulnerable road users such as pedestrians and bikers.

ECSEL JU, 01/05/2020–30/04/2023

ANALYST PV

Integrated sensors and data analysis fault detection tools for PV plants.

imec.icon, 01/10/2019–30/09/2022

COMP4DRONES

i-KNOW researchers contribute to a novel framework of key enabling technologies for safe and autonomous drones. We focus on hyperspectral imaging from manually flown drones for inspection of offshore turbines structure to detect imperfections, such as corrosion deterioration of paint.

ECSEL JU, 01/10/2019–30/09/2022

ACHIEVE-ITN

Designing highly integrated hardware-software components for the implementation of ultra-efficient embedded vision systems as the basis for innovative distributed vision applications.

H2020-MSCA-ITN, 01/10/2017–30/09/2021

ReVeAL

Helping to add Urban Vehicle Access Regulations (UVAR) to the standard range of urban mobility transition approaches of cities across Europe.

H2020-EU, 01/06/2019–31/05/2022

Meet our team

40 professors from different research disciplines each bring world class knowledge and cutting-edge skills to the table. Committed to solving important reallife challenges by putting research on intelligent information processing into use.

Principal Investigators

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Alain De Wulf

3D data acquisition

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Aleksandra Pizurica

Artificial intelligence and sparse modelling

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Antoon Bronselaer

Big data quality and decision support

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Bart Goossens

Image processing and interpretation

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Bernard De Baets

Knowledge-based systems

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Birger Raa

Operations and supply chain management

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Bjorn De Sutter

Computing systems

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Clara-Mihaela Ionescu

Dynamical systems and control

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Dieter Fiems

Queueing systems

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Dirk Stroobandt

Computing systems

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El-Houssaine Aghezzaf

Industrial systems engineering and operations

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Ellen Van De Vijver

Soil spatial inventory

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Frank Witlox

Social and economic geography

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Frieke Vancoillie

Remote sensing and spatial analysis

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Guy De Tré

Big data quality and decision support

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Heidi Steendam

Digital Communications

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Herwig Bruneel

Queueing theory

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Hiep Luong

Image processing and interpretation

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Jan Baetens

Mathematical modelling

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Jan Verwaeren

Data analysis and machine learning

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Joni Dambre

Embedded machine learning and deep learning

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Joris Walraevens

Queueing systems

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Kathy Steppe

Plant ecology

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Koen De Bosschere

Information technology and systems

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Lieven Eeckhout

Computer architecture modelling

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Luuk Boelens

Mobility planning

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Marc Moeneclaey

Digital communications

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Marc Van Meirvenne

Soil spatial inventory

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Nico Van de Weghe

Geographical information science and technology

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Peter Veelaert

Computer vision

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Philippe De Maeyer

Cartography and GIS

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Philippe De Smedt

Soil spatial inventory

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Rudi Goossens

Remote sensing and photogrammetry

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Sabine Wittevrongel

Queueing theory

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Sidharta Gautama

Intelligent systems

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Stijn De Vuyst

Performance evaluation of manufacturing and production systems

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Stijn Luca

Statistical data analysis

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Wilfried Philips

Image processing and interpretation

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Willem Waegeman

Machine learning

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Wouter Maes

Remote sensing in agricultural ecosystems

Single Point of Contact

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Ljiljana Platisa

Research and technology management

News

Prof. Frank Witlox named Head of the Department of Geography

After almost 12 years Prof. Philippe De Maeyer hands over to Prof. Frank Witlox.

Prof. Frank Witlox named Head of the Department of Geography

After almost 12 years Prof. Philippe De Maeyer hands over to Prof. Frank Witlox.

UGent becomes a core partner in the EIT Urban Mobility initiative

Great new opportunities for international collaborations!

Recent & Upcoming Events

Biological and Medical Systems, BMS 2021

11th IFAC Symposium on Biological and Medical Systems

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