Example I am currently an Adjunct Professor (Docent) and Postdoctoral Researcher in Machine Vision and Pattern Recognition Laboratory (MVPR), Department of Mathematics and Physics, Lappeenranta University of Technology (LUT), Finland.

I received my M.Sc. degree and Ph.D. degree (Doctor of Technology) in information processing (Computer Science) in 2006 and 2010, respectively, from Department of Information Technology in LUT.

My research interests include machine vision, digital image processing, pattern recognition, human-computer interaction, and image quality assessment.

My CV is available upon request.

Google Scholar | ResearchGate


Research

Current projects

  1. DigiSaw - Digitalization leap of sawmill industry
  2. CellVision - Automatic segmentation of overlapping objects for cell image analysis

Finished projects

  1. COMPHI - Segmentation of Overlapping Convex Objects
  2. SealVision - Image based identification of Saimaa Ringed Seals
  3. COPEX - Computational Psychology of Experience in Human-Computer Interaction
  4. S-STEP MASCA - Machine Level intelligence, sensing, control and actuation
  5. PulpVision - Image Processing and Analysis Methods for Pulp Process Measurements
  6. EffNet WP7 - Management of web uniformity based on imaging measurements
  7. DigiQ - Fusion of Digital and Visual Print Quality
  8. PapVision - Paper Printability Inspection Using Machine Vision

Publications

Articles in international journals with referee practice

Modeling mass transfer during single organic droplet formation and rise

By Esko Lahdenperä, Jussi Tamminen, Tuomas Koiranen, Toni Kuronen, Tuomas Eerola, Lasse Lensu, and Heikki Kälviäinen, Journal of Chemical Engineering & Process Technology 9 (2), 378, 2018.

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Comparison of bubble detectors and size distribution estimators

By Jarmo Ilonen, Roman Juranek, Tuomas Eerola, Lasse Lensu, Marketa Dubska, Pavel Zemcik, and Heikki Kälviäinen, Pattern Recognition Letters 101, 60 - 66, 2018.

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Automatic individual identification of Saimaa ringed seals

By Tina Chehrsimin, Tuomas Eerola, Meeri Koivuniemi, Miina Auttila, Riikka Levänen, Marja Niemi, Mervi Kunnasranta, and Heikki Kälviäinen, IET Computer Vision 12 (2), 146 - 152, 2018.

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A Novel Machine Vision based Image Analysis Method for the Analysis of Mixing Elements in Rotary Drums

By Tuomas Koiranen, Tuomas Melanen, Jarmo Ilonen, Tuomas Eerola, Lasse Lensu, and Heikki Kälviäinen, In Chemical Engineering Communications 204 (8), 982 - 989, 2017.

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Determination of single droplet sizes, velocities and concentrations with image analysis for reactive extraction of copper

By Jussi Tamminen, Esko Lahdenperä, Tuomas Koiranen, Toni Kuronen, Tuomas Eerola, Lasse Lensu, and Heikki Kälviäinen, In Chemical Engineering Science 167, 54 - 65, 2017.

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Detection of Bubbles as Concentric Circular Arrangements

By Nataliya Strokina, Jiri Matas, Tuomas Eerola, Lasse Lensu, and Heikki Kälviäinen, In Machine Vision and Applications 27 (3), 387 - 396, 2016.

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Image-based characterization of the pulp flows

By Mikhail Sorokin, Nataliya Strokina, Tuomas Eerola, Lasse Lensu, Kyösti Karttunen, and Heikki Kälviäinen, In Pattern Recognition and Image Analysis 26 (3), 630 - 637, 2016.

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Segmentation of Overlapping Elliptical Objects in Silhouette Images

By Sahar Zafari, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, and Heikki Haario, In IEEE Transactions on Image Processing 24 (12), 5942 - 5952, 2015.

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Online measurement of the bubble size distribution in medium-consistency oxygen delignification

By Heikki Mutikainen, Nataliya Strokina, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, and Jari Käyhkö, In Appita Journal 68 (2), 159-164, 2015.

Study of no-reference image quality assessment algorithms on printed images

By Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, and Alan C. Bovik, In Journal of Electronic Imaging 23 (6), 061106, 2014.

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Framework for developing image-based dirt particle classifiers for dry pulp sheets

By Nataliya Strokina, Aki Mankki, Tuomas Eerola, Lasse Lensu, Jari Käyhkö, and Heikki Kälviäinen, In Machine Vision and Applications 24 (4), 869-881, 2013.

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Thresholding based detection of fine and sparse details

By Alexander Drobchenko, Joni-Kristian Kamarainen, Lasse Lensu, Jarkko Vartiainen, Heikki Kälviäinen, and Tuomas Eerola, In Frontiers of Electrical and Electronic Engineering in China 6 (2), 328–338, 2011.

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Bayesian Network Model of Overall Print Quality: Construction and Structural Optimisation

By Tuomas Eerola, Lasse Lensu, Joni-Kristian Kamarainen, Tuomas Leisti, Risto Ritala, Göte Nyman, and Heikki Kälviäinen, In Pattern Recognition Letters 32 (11), 1558-1566, 2011.

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Full Reference Printed Image Quality: Measurement Framework and Statistical Evaluation

By Tuomas Eerola, Joni-Kristian Kamarainen, Lasse Lensu, Tuomas Leisti, Raisa Halonen, Heikki Kälviäinen, Göte Nyman, and Pirkko Oittinen, In Journal of Imaging Science and Technology 54 (1), 1-13, 2010. (Charles E. Ives Journal Award)

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Articles in international conferences with referee practice

Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks

By Nikolay Rudakov, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, and Heikki Haario, In the German Conference on Pattern Recognition (GCPR 2018), 2018.

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Comparison of Co-segmentation Methods for Wildlife Photo-identification

By Anastasia Popova, Tuomas Eerola, and Heikki Kälviäinen, In the Advanced Concepts for Intelligent Vision Systems (ACIVS 2018), 2018.

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Two-Camera Synchronization and Trajectory Reconstruction for a Touch Screen Usability Experiment

By Toni Kuronen, Tuomas Eerola, Lasse Lensu, and Heikki Kälviäinen, In the Advanced Concepts for Intelligent Vision Systems (ACIVS 2018), 2018.

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Identification of Saimaa Ringed Seal Individuals using Transfer Learning

By Ekaterina Nepovinnykh, Tuomas Eerola, and Heikki Kälviäinen, In the Advanced Concepts for Intelligent Vision Systems (ACIVS 2018), 2017.

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Fish Detection from Low Visibility Underwater Videos

By Violetta Shevchenko, Tuomas Eerola, and Arto Kaarna, In the International Conference on Pattern Recognition (ICPR 2018), 2018.

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Multi-Camera Finger Tracking and 3D Trajectory Reconstruction for HCI Studies

By Vadim Lyubanenko, Toni Kuronen, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, and Jukka Häkkinen, In the Advanced Concepts for Intelligent Vision Systems (ACIVS 2017), 2017.

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Comparison of Concave Point Detection Methods for Overlapping Convex Objects Segmentation

By Sahar Zafari, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, and Heikki Haario, In the 20th Scandinavian Conference on Image Analysis (SCIA 2017), 2017.

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Simultaneous Camera Calibration and Temporal Alignment of 2D and 3D Trajectories

By Joni Herttuainen, Tuomas Eerola, Lasse Lensu, and Heikki Kälviäinen, In International Conference on Computer Vision Theory and Applications (VISAPP 2017), 2017.

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Segmentation of Partially Overlapping Convex Objects Using Branch and Bound Algorithm

By Sahar Zafari, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, and Heikki Haario, In Asian Conference on Computer Vision (ACCV) workshop on mathematical and computational methods in biomedical imaging and image analysis (MCBMIIA2016), 2016.

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Segmentation of Partially Overlapping Nanoparticles Using Concave Points

By Sahar Zafari, Tuomas Eerola, Jouni Sampo, Heikki Kälviäinen, and Heikki Haario, In International Symposium on Visual Computing (ISVC 2015), 2015.

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Segmentation of Saimaa ringed seals for identification purposes

By Artem Zhelezniakov, Tuomas Eerola, Meeri Koivuniemi, Miina Auttila, Riikka Levänen, Marja Niemi, Mervi Kunnasranta, and Heikki Kälviäinen, In International Symposium on Visual Computing (ISVC 2015), 2015.

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High-Speed Hand Tracking for Studying Human-Computer Interaction

By Toni Kuronen, Tuomas Eerola, Lasse Lensu, Jari Takatalo, Jukka Häkkinen, and Heikki Kälviäinen, In the 19th Scandinavian Conference on Image Analysis (SCIA 2015), 2015.

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Image-based characterization of the pulp flows

By Mikhail Sorokin, Nataliya Strokina, Tuomas Eerola, Lasse Lensu, and Heikki Kälviäinen, In the 9th Open German-Russian Workshop on Pattern Recognition and Image Understanding (OGRW 2014), 2014.

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Estimation of bubble size distribution based on power spectrum

By Jarmo Ilonen, Tuomas Eerola, Heikki Mutikainen, Lasse Lensu, Jari Käyhkö, and Heikki Kälviäinen, In the 19th Iberoamerican Congress on Pattern Recognition (CIARP 2014), 2014.

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Comparison of appearance-based and geometry-based bubble detectors

By Nataliya Strokina, Roman Juranek, Tuomas Eerola, Lasse Lensu, Pavel Zemcik, and Heikki Kälviäinen, In the International Conference on Computer Vision and Graphics (ICCVG 2014), 2014.

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Comparison of general object trackers for hand tracking in high-speed videos

By Ville Hiltunen, Tuomas Eerola, Lasse Lensu, and Heikki Kälviäinen, In the 22nd International Conference on Pattern Recognition (ICPR 2014), 2014.

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Detection of Curvilinear Structures by Tensor Voting Applied to Fiber Characterization

By Nataliya Strokina, Tatiana Kurakina, Tuomas Eerola Lasse Lensu, and Heikki Kälviäinen, In the 18th Scandinavian Conference on Image Analysis (SCIA 2013), 2013.

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From Full-Reference to No-Reference in Quality Assessment of Printed Images

By Tuomas Eerola, Joni-Kristian Kamarainen, Lasse Lensu, and Heikki Kälviäinen, In Federated Computer Science Event (YTP 2012), 2012.

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Detection of Bubbles as Concentric Circular Arrangements

By Nataliya Strokina, Jiri Matas, Tuomas Eerola, Lasse Lensu, and Heikki Kälviäinen, In the 21st International Conference on Pattern Recognition (ICPR 2012), 2012.

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Adaptive Classification of Dirt Particles in Papermaking Process

By Nataliya Strokina, Tuomas Eerola, Lasse Lensu, and Heikki Kälviäinen, In the 17th Scandinavian Conference on Image Analysis (SCIA 2011), 2011.

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Improving Particle Segmentation from Process Images with Wiener Filtering

By Lauri Laaksonen, Nataliya Strokina, Tuomas Eerola, Lasse Lensu, and Heikki Kälviäinen, In the 17th Scandinavian Conference on Image Analysis (SCIA 2011), 2011.

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Semisynthetic ground truth for dirt particle counting and classification methods

By Nataliya Strokina, Aki Mankki, Tuomas Eerola, Lasse Lensu, Jari Käyhkö, Heikki Kälviäinen, In the 12th IAPR Conference on Machine Vision Applications (MVA 2011), 2011.

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Framework for Applying Full Reference Digital Image Quality Measures to Printed Images.

By Tuomas Eerola, Joni-Kristian Kamarainen, Lasse Lensu, and Heikki Kälviäinen, In the 16th Scandinavian Conference on Image Analysis (SCIA 2009), 2009.

...

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Machine Vision Solutions for Forest and Printing Industry

By Heikki Kälviäinen, Tuomas Eerola, Joni-Kristian Kämäräinen, and Lasse Lensu, In the 9th International Conference on Pattern Recognition and Image Analysis, 2008.

Is there hope for predicting human visual quality experience?

By Tuomas Eerola, Joni-Kristian Kamarainen, Tuomas Leisti, Raisa Halonen, Lasse Lensu, Heikki Kälviäinen, Göte Nyman, and Pirkko Oittinen, In the IEEE International Conference on Systems, Man, and Cybernetics (SMC 2008), 2008.

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Finding best measurable quantities for predicting human visual quality experience

By Tuomas Eerola, Joni-Kristian Kamarainen, Tuomas Leisti, Raisa Halonen, Lasse Lensu, Heikki Kälviäinen, Göte Nyman, and Pirkko Oittinen, In the IEEE International Conference on Systems, Man, and Cybernetics (SMC 2008), 2008.

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Framework for modeling visual printed image quality from the paper perspective

By Pirkko Oittinen, Raisa Halonen, Anna Kokkonen, Tuomas Leisti, Göte Nyman, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Risto Ritala, Johannes Pulla, and Marja Mettänen, In SPIE/IS&T Electronic Imaging 2008, Image Quality and System Performance V, Vol. 6808, 2008.

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Visual print quality evaluation using computational features

By Tuomas Eerola, Joni-Kristian Kamarainen, Lasse Lensu, and Heikki Kälviäinen, In the 3rd International Symposium on Visual Computing (ISVC 2007), 2007.

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Scientific monographs

Computational visual quality of digitally printed images

By Tuomas Eerola, Ph.D thesis, Lappeenranta University of Technology, Lappeenranta, Finland, 2010.

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Multilevel approach to paper printability evaluation

By Tuomas Eerola, Master's thesis, Lappeenranta University of Technology, Lappeenranta, Finland, 2006.

Other scientific publications

Massan ja paperinvalmistuksen märkäosan kuvantava mittaus sekä konenäkösovellukset (PULPVISION)

By Jari Käyhkö, Heikki Mutikainen, Juhani Turunen, Tapio Tirri, Yrjö Hiltunen, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Jarkko Mutanen, Markku Hauta-Kasari, Kyösti Karttunen, Kaarina Prittinen, and Elmar Bernhardt, In Mikkelin ammattikorkeakoulun tutkimuksia ja raportteja - research reports 105, 2016.

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Fusion of Digital and Visual Print Quality - Final Report of DigiQ Project

By Raisa Halonen, Mikko Nuutinen, Pirkko Oittinen, Tuomas Leisti, Göte Nyman, Marja Mettänen, Risto Ritala, Tuomas Eerola, Lasse Lensu, Joni-Kristian Kämäräinen, and Heikki Kälviäinen, In Graphic Arts in Finland 39 (3), 2010.

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Supervised theses

Supervised doctoral theses (as a second supervisor)

  1. D.Sc. Nataliya Strokina, Machine vision methods for process measurements in pulping, 2013
  2. D.Sc. Sahar Zafari, Segmentation of Partially Overlapping Convex Objects in Silhouette Images, 2018
  3. D.Sc. Toni Kuronen, Moving Object Analysis and Trajectory Processing with Applications in Human-Computer Interaction and Chemical Processes, 2018

Supervised/examined Master's theses

  1. M.Sc. Lauri Laaksonen, Image processing methods for particle analysis in pulp making process, 2011
  2. M.Sc. Tatiana Kurakina, Characterization of fiber and vessel elements in pulp suspension images, 2012
  3. M.Sc. Mikhail Sorokin, Image-based characterization of the process flows in pulping, 2012
  4. M.Sc. Ville Hiltunen, Hand tracking in high-speed camera videos, 2013
  5. M.Sc. Teemu Hippi, Steganografia ja kuvien digitaalinen vesileimaus (Steganography and digital watermarking of images), 2014
  6. M.Sc. Sahar Zafari, Segmentation of overlapping convex objects, 2014
  7. M.Sc. Toni Kuronen, Post-processing and analysis of tracked hand trajectories, 2014
  8. M.Sc. Artem Zhelezniakov, Automatic image-based identification of Saimaa ringed seals, 2015
  9. M.Sc. Tina Chehrsimin, Enhanced methods for Saimaa ringed seal identification, 2016
  10. M.Sc. Iuliia Malysheva, Large-scale multimodal sensor fusion and object detection, 2017
  11. M.Sc. Mariia Murashkina, Convex object contour estimation based on partially observed edges, 2017
  12. M.Sc. Ekaterina Nepovinnykh, Saimaa ringed seal fur pattern extraction for identification purposes, 2017
  13. M.Sc. Anastasia Popova, Co-segmentation methods for wildlife-photo identification, 2017
  14. M.Sc. Violetta Shevchenko, Fish detection for species recognition, 2017
  15. M.Sc. Vadim Lyubanenko, Multi-camera finger tracking for 3D touch screen usability experiments, 2017
  16. M.Sc. Evgeniya Kosyanenko, Convolutional neural networks for Saimaa ringed seal segmentation, 2017
  17. M.Sc. Nikolay Rudakov, Detection of mechanical damages in sawn timber using convolutional neural networks, 2018
  18. M.Sc. Dmitrii Shustrov, Species identification of wooden material using convolutional neural networks, 2018
  19. M.Sc. Nikita Anisimov, Knot detection from laser point clouds for multimodal matching of wooden material, 2018
  20. M.Sc. Dmitrii Mikheev, Analysis of hand movements in 3D touch screen usability experiment, 2018
  21. M.Sc. Nikita Ashikhmin, Contour segment grouping for overlapping convex object segmentation, 2018
  22. M.Sc. Shokoofeh Motamedi, No-reference quality assessment of mobile-captured videos by utilizing mobile sensor data, 2018