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Lasse Lensu

Professor of Machine Vision and Data Analysis
Head of Machine Vision and Pattern Recognition Laboratory
Doctor of Science in Technology (Computer Science and Engineering)

Machine Vision and Pattern Recognition Laboratory
Department of Computational and Process Engineering
LUT School of Engineering Science
Lappeenranta University of Technology
PO Box 20 (Skinnarilankatu 34)
FI-53851 Lappeenranta
Phone:+358 40 759 1720

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CV, list of publications, and presentation portfolio for teaching are available upon request.
Machine Vision and Pattern Recognition Laboratory

Biomolecular imaging and computing:
Retinal imaging and image analysis

Re-engineering retinal imaging with photonics and computational science, ReVision (Academy of Finland, 2012-2015)
Optimal Detection and Decision-Support Diagnosis of Diabetic Retinopathy, ImageRet (Tekes and companies, 2006-2009)

Photoelectric measurements of photoactive biomolecules, modelling of colour vision systems

Molecular computing, MolComp (Tekes and Academy of Finland, 1997-1999)
Pattern recognition and data analytics:
Multi-dimensional data analysis

Smart services for digitalisation, DIGI-USER (LUT research platform, 2016-)
Computational vision:
Measurement and method development for material characterisation and visual quality assessment

VersoAI (company project, 2018)
Digitalisation of the sawmill industry, DigiSaw (Tekes and companies, 2017-2019)
BigSister (company project, 2017)
Machine level intelligence, sensing, control and actuation, MASCA (FIMECC, 2014-2016)
Computational Psychology of Experience in Human-Computer Interaction, COPEX (Academy of Finland, 2013-2015)
TrafficVision (Finnish Transport Agency, 2014)
Imaging and Machine Vision Applications in the Wet Stage of the Pulp and Paper Production, PulpVision (Tekes ERDF and companies, 2010-2014)
Computational Salience Based Approach for Print Quality Assessment, VisiQ (Academy of Finland, 2008-2011)
Efficient Networking towards Novel Products and Processes/Work Package 7: Management of web uniformity based on imaging measurements, EffNet WP7 (Forestcluster, 2010-2011)
Image-Based Measurement Methods for Quality in Pulping and Papermaking, QVision (Forestcluster, 2009-2010)
Fusion of Digital and Visual Print Quality, DigiQ (Tekes and companies, 2006-2009)
Paper Printability Inspection using Machine Vision, Papvision (Tekes ERDF, Tekes and companies, 2003-2006)
Teaching (2018-2019)
BM40A0502 Introduction to Computational Intelligence and Machine Learning (in Finnish)
BM40A0701 Pattern Recognition
BM20A6100 Advanced Data Analysis and Machine Learning
Homepage of my brother, Anssi

Lasse Lensu
$Date: 2019-03-13 17:57:18 +0200 (ke, 13 maalis 2019) $