Professori Lasse Lensu

E-mail: lasse.lensu@lut.fi
Mobile phone: +358 407591720
ORCID ID: 0000-0002-7691-121X (Go to ORCID profile)
CV:
Uploaded on: 12/06/2020

Current Organisation
Computational and Process Engineering (Superior organisation: LUT School of Engineering Science)

Biography
Lasse Lensu is a professor of machine vision and data analysis at Lappeenranta-Lahti University of Technology LUT, Finland. He received his D.Sc. (Tech.) degree in computer science and engineering in 2002 from the Department of Information Technology of LUT. His research interests include machine/computer vision, pattern recognition with machine learning and data analysis. Prof. Lensu is the head of the Department of Computational and Process Engineering at LUT, and he has contributed to the technology transfer to three spin-off companies from the university.

Research Interest
Computer/machine vision, pattern recognition, machine learning, data analysis, digital imaging, image processing, medical image analysis.

Teaching Experience
Teaching experience at LUT at the bachelor, master and post-graduate level from the year 1996. The number of courses: 20; the number of course implementations: 48. Administrative responsibilities in education include the following: Head of the Degree Programme, Chairman of Curriculum working group.

Projects as Principal Investigator
Re-engineering retinal imaging with photonics and computational science (01/01/2015 - 31/08/2015)
Funder: Academy of Finland



Projects as Project Manager
Re-engineering retinal imaging with photonics and computational science (01/01/2015 - 31/08/2015)
Funder: Academy of Finland



Projects as Co-Investigator
Leap of Digitalisation for Sawmill Industry (01/01/2018 - 31/12/2019)
Funder: Tekes



Publications
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3D Hand Movement Measurement Framework for Studying Human-Computer Interaction (2019)
A4 Conference proceedings
Kuronen Toni, Eerola Tuomas, Lensu Lasse, et al.
Lecture Notes in Networks and Systems
Cyber-Physical Systems and Control
Color-Sensitive Biosensors for Imaging Applications (2019)
A3 Book section, chapters in research books
Lensu Lasse, Frydrych Michael, Parkkinen Sinikka, et al.
Smart Biosensor Technology
Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks (2019)
A4 Conference proceedings
Rudakov Nikolay, Eerola Tuomas, Lensu Lasse, et al.
Lecture Notes in Computer Science
German Conference on Pattern Recognition. GCPR 2018.
Fine-Grained Wood Species Identification Using Convolutional Neural Networks (2019)
A4 Conference proceedings
Shustrov Dmitrii, Eerola Tuomas, Lensu Lasse, et al.
Lecture Notes in Computer Science
Image Analysis. SCIA 2019. Lecture Notes in Computer Science
Hyper-parameter Optimization of Multi-attention Recurrent Neural Network for Battery State-of-Charge Forecasting (2019)
A4 Conference proceedings
Mashlakov Aleksei, Tikka Ville, Lensu Lasse, et al.
Lecture Notes in Computer Science
EPIA 2019: Progress in Artificial Intelligence
Multi-Timescale Forecasting of Battery Energy Storage State-of-Charge under Frequency Containment Reserve for Normal Operation (2019)
A4 Conference proceedings
Mashlakov Aleksei, Honkapuro Samuli, Tikka Ville, et al.
International Conference On The European Energy Market
2019 16th International Conference on the European Energy Market (EEM)
Probabilistic Forecasting of Battery Energy Storage State-of-Charge under Primary Frequency Control (2019)
A1 Journal article (refereed), original research
Mashlakov Aleksei, Lensu Lasse, Kaarna Arto, et al.
IEEE Journal on Selected Areas in Communications
Timber Tracing with Multimodal Encoder-Decoder Networks (2019)
A4 Conference proceedings
Zolotarev Fedor, Eerola Tuomas, Lensu Lasse, et al.
Lecture Notes in Computer Science
CAIP 2019: Computer Analysis of Images and Patterns
Comparison of bubble detectors and size distribution estimators (2018)
A1 Journal article (refereed), original research
Ilonen Jarmo, Juránek Roman, Eerola Tuomas, et al.
Pattern Recognition Letters
Hyperspectral Image Segmentation of Retinal Vasculature, Optic Disc and Macula (2018)
A4 Conference proceedings
Garifullin Azat, Kööbi Peeter, Ylitepsa Pasi, et al.
2018 International Conference on Digital Image Computing: Techniques and Applications (DICTA)



Keywords
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Computer vision
Data analysis
Digital imaging
Image processing
Machine learning

Last updated on 2020-12-06 at 21:12