Professor Heikki Kälviäinen
Mobile phone: +358405867552 Website URL: https://www.lut.fi/en/research-groups/computer-vision-and-pattern-recognition-laboratory-cvprl ORCID ID: 0000-0002-0790-6847 (Go to ORCID profile) |
Current Organisation
- Computational Engineering (Superior organisation: LUT School of Engineering Science)
Academic position in LUT: Professor
Heikki Kälviäinen has been a Professor of Computer Science and Engineering since 1999. He is the head of the Computer Vision and Pattern Recognition Laboratory (CVPRL) at the Department of Computational Engineering of Lappeenranta-Lahti University of Technology LUT, Finland. He received his D.Sc. (Tech.) degree in Computer Science and Engineering in 1994 from the Department of Information Technology of LUT. Prof. Kälviäinen's research interests include computer vision, machine vision, pattern recognition, machine learning, and digital image processing and analysis. Prof. Kälviäinen has supervised 28 doctoral and 170 master's theses, has written more than 220 peer-reviewed scientific articles (journal articles, conference papers, and book chapters), and 49 other research publications, and has been a responsible leader in 51 research projects (total 6,3 MEUR). Professor Kälviäinen's h-index is 36 with more than 6400 citations (Google Scholar). Prof. Kälviäinen has served 35 times as a Ph.D. thesis reviewer in 8 countries. Besides LUT, Prof. Kälviäinen has worked more than six years in other universities: as a Professor of Computing at School of Information Technology of Monash University Malaysia and as a Visiting Professor at the Faculty of Information Technology of Brno University of Technology, Czech Republic, the Center for Machine Perception (CMP) of Czech Technical University, and the Centre for Vision, Speech, and Signal Processing (CVSSP) of University of Surrey, UK. Professor Kälviäinen has served in many academic leader positions, including a Vice Dean, a Head of Department/Degree Program/Laboratory at LUT, a Director of East Finland Graduate School in Computer Science and Engineering (ECSE), and a Deputy Head of School at Monash University Malaysia.
List of publications: see the CV file.
Teaching experience over 37 years at the bachelor, master and post-graduate level from the year 1986. The number of courses: 34 with over 100 implementations of different topics of Computer Science and Engineering at LUT University, Monash University Malaysia, and Peter the Great St. Petersburg Polytechnic University. Administrative responsibilities in education include the following: Head of Graduate School, Head of Degree Program, and Head of Major at LUT University.
Research Areas
- Life in the fast lane: Revealing high-frequency plankton dynamics with multi-device imaging and open-set image classification
Elämää veden kiitoradalla: monilaitekuvantaminen ja kuvien luokittelu avoimella kuvajoukolla planktonin tiheän aikavälin muutosten tutkimuksessa (01/09/2021 - 31/08/2025)
Funder: Academy of Finland - Life in the fast lane: Computer vision and machine learning to unveil biodiversity dynamics and ecosystem responses in the planktonic realm (FASTVISION) (01/09/2019 - 31/08/2021)
Funder: Academy of Finland - Towards sustainable coexistence of seals and humans (01/04/2019 - 31/03/2022)
Funder: Other Finnish - Leap of Digitalisation for Sawmill Industry (01/01/2018 - 31/12/2019)
Funder: Tekes - Päällekkäisten kohteiden automaattinen segmentointi solukuvien analysoimiseksi (CellVision) (01/01/2018 - 31/12/2019)
Funder: Academy of Finland - Computational Psychology of Experience in Human-Computer Interaction (01/01/2015 - 31/12/2015)
Funder: Academy of Finland
- Smart technologies for lifecycle perform (01/01/2015 - 30/06/2015)
Funder: Tekes
- Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives (2024)
A1 Journal article (refereed), original research
Eerola Tuomas, Batrakhanov Daniel, Vatankhah Barazandeh Nastaran, et al.- Artificial Intelligence Review
- Content-Based Image Retrieval for Ringed Seal Re-Identification (2023)
B3 Unrefereed conference proceedings
Nepovinnykh Ekaterina, Eerola Tuomas, Kälviäinen Heikki
Computer Vision for Animals Workshop (C4Animals) (web page publication only) - EDEN: Deep Feature Distribution Pooling for Saimaa Ringed Seals Pattern Matching (2023)
A4 Conference proceedings
Chelak Ilia, Nepovinnykh Ekaterina, Eerola Tuomas, et al.- Lecture Notes in Networks and Systems
- Re-identification of Saimaa Ringed Seals from Image Sequences (2023)
A4 Conference proceedings
Nepovinnykh Ekaterina, Vilkman Antti, Eerola Tuomas, et al.- Lecture Notes in Computer Science
- Toward phytoplankton parasite detection using autoencoders (2023)
A1 Journal article (refereed), original research
Bilik Simon, Batrakhanov Daniel, Eerola Tuomas, et al.- Machine Vision and Applications
- Matching individual Ladoga ringed seals across short-term image sequences (2022)
A1 Journal article (refereed), original research
Nepovinnykh Ekaterina, Chelak Ilia, Lushpanov Andrei, et al.- Mammalian Biology
- Open-Set Plankton Recognition Using Similarity Learning (2022)
A4 Conference proceedings
Badreldeen Bdawy Mohamed Ola, Eerola Tuomas, Kraft Kaisa, et al.- Lecture Notes in Computer Science
- SealID: Saimaa Ringed Seal Re-Identification Dataset (2022)
A1 Journal article (refereed), original research
Nepovinnykh Ekaterina, Eerola Tuomas, Biard Vincent, et al.- Sensors
- Towards operational phytoplankton recognition with automated high-throughput imaging, near-real-time data processing, and convolutional neural networks (2022)
A1 Journal article (refereed), original research
Kraft Kaisa, Velhonoja Otso, Eerola Tuomas, et al.- Frontiers in Marine Science
- On De-Interlacing and Sub-Pixel Precision Tracking (2021)
A4 Conference proceedings
Nawaz Aakif, Kuronen Toni, Eerola Tuomas, et al.
2021 36th International Conference on Image and Vision Computing New Zealand (IVCNZ)
- Computer vision
- Image processing and analysis
- Machine learning
- Machine vision
- Medical image analysis
Computer Vision, Machine Vision, Pattern Recognition, Machine Learning, Digital Image Processing, Digital Image Analysis.