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Lasse Lensu

Professor of Machine Vision and Data Analysis
Doctor of Science in Technology (Computer Science and Engineering)

Computer Vision and Pattern Recognition Laboratory
Head of Department of Computational and Process Engineering
LUT School of Engineering Science
Lappeenranta University of Technology
PO Box 20 (Yliopistonkatu 34)
FI-53851 Lappeenranta
FINLAND

Email:First_name.Last_name@lut.fi
Phone:+358 40 759 1720

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Personal info
Personal record in LUT Research Portal. Presentation portfolio for teaching is available upon request.
Research
Computer 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-)
Computer/machine vision:
Measurement and method development for material characterisation and visual quality assessment

Life in the fast lane: Computer vision and machine learning to unveil biodiversity dynamics and ecosystem responses in the planktonic realm FASTVISION (Academy of Finland, 2019-2021)
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 (2019-2020)
BM40A0502 Introduction to Computational Intelligence and Machine Learning (in Finnish)
BM40A0702 Pattern Recognition and Machine Learning
BM20A6100 Advanced Data Analysis and Machine Learning
Links
Homepage of my brother, Anssi

Lasse Lensu
$Date: 2019-09-25 15:19:21 +0300 (ke, 25 syys 2019) $