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Prof. Dr. Povilas Treigys 
Department: Image and Signal Analysis Group
Position: Principal Researcher, Professor, Head of Group
Address: Akademijos st. 4, room 623, Vilnius
Tel: (+370 5) 210 9328
E-mail:
Links in social networks:
Scientific and Pedagogical Background
Received Ph. D. in the field of Informatics Engineering in 2010 by defending thesis "Development and Application of Methods in the Graphical Ophthalmological and Thermovisual Data Analysis."
Supervisors: Vydūnas Šaltenis (2005-2007), Gintautas Dzemyda (2007-2010).
Defend committee members: prof. habil. dr. Antanas Čenys, prof. dr. Romas Baronas, prof. dr. Algidas Basevičius, prof. habil. dr. Romualdas Baušys, prof. habil. dr. Laimutis Telksnys, prof. dr. Olga Kurasova, prof. habil. dr. Rimantas Šeinauskas.
Research Work
Scientific interest includes but not limited to digital signal processing, machine learning, deep learning methods development and application for object recognition, segmentation, retrieval, description, denoising in visual/audio data. Medical data analysis and deep learning models development for cancerous tissue segmentation and evaluation from MRI, whole-slide images.
Scientific publications
The main publications ower last 5 years:
- Morkūnas, Mindaugas; Žilėnaitė, Dovilė; Laurinavičienė, Aida; Treigys, Povilas; Laurinavičius, Arvydas. Tumor collagen framework from bright-field histology images predicts overall survival of breast carcinoma patients // Scientific reports. Berlin : Nature research. ISSN 2045-2322. 2021, vol. 11, no. 1, art. no. 15474, p. [1-13]. DOI: 10.1038/s41598-021-94862-6.
- Markevičiūtė, Jurgita; Bernatavičienė, Jolita; Levulienė, Rūta; Medvedev, Viktor; Treigys, Povilas; Venskus, Julius. Attention-based and time series models for short-term forecasting of COVID-19 spread // CMC-Computers, materials & continua. Henderson, NV : TECH Science Press. ISSN 1546-2218. eISSN 1546-2226. 2022, vol. 70, no. 1, p. 695-714. DOI: 10.32604/cmc.2022.018735.
- Tamulevičius, Gintautas; Korvel, Gražina; Yayak, Anil Bora; Treigys, Povilas; Bernatavičienė, Jolita; Kostek, Božena. A study of cross-linguistic speech emotion recognition based on 2D feature spaces // Electronics. Basel : MDPI AG. ISSN 2079-9292. eISSN 2079-9292. 2020, vol. 9, iss. 10, art. no. 1725, p. [1-13]. DOI: 10.3390/electronics9101725.
- Korvel, Gražina; Treigys, Povilas; Kostek, Bożena. Highlighting interlanguage phoneme differences based on similarity matrices and convolutional neural network // Journal of the Acoustical Society of America. Melville : Acoustical Society of America. ISSN 0001-4966. eISSN 1520-8524. 2021, vol. 149, iss. 1, p. 508-523. DOI: 10.1121/10.0003339.
- Venskus, Julius; Treigys, Povilas; Markevičiūtė, Jurgita. Unsupervised marine vessel trajectory prediction using LSTM network and wild bootstrapping techniques // Nonlinear analysis : modelling and control. Vilnius : Vilniaus universiteto leidykla. ISSN 1392-5113. eISSN 2335-8963. 2021, vol. 26, no. 4, p. 718-737. DOI: 10.15388/namc.2021.26.23056.
The list of all publications can be viewed here
Scientific and other projects
Project management:
- Postdoctoral Project “Investigating speech in the presence of noise interferences employing signal processing and machine learning methods”, 2021-07-2023.07 Supervisor.
- Erasmus+ project "Partnerships to Ensure Risk Management in Practice” 2015-1-LV01-KA203-013436. 2015-2016
Ongoing projects:
- Postdoctoral Project “Investigating speech in the presence of noise interferences employing signal processing and machine learning methods”, 2021-07-2023.07
- National Competence Centres in the framework of EuroHPC, H2020, Project duration 01-09-2020 – 31-08-2022. Project Reference: 951732. Teamlead at Vilnius University Faculty of mathematics and informatics.
- Eye fundus database development. Vilnius Region Biomedical Research Committee approval no.:158200-18/11-1057-572. Principal investigator. Project duration 11-2018 – 10-2030.
Older projects:
- COST action CA15124 "A new Network of European BioImage Analysts to advance life science imaging" member of the management committee. 05.2016 - 05.2020
- Eurostars project "Production Effectiveness Navigator, E!6232, PEN“. 2011-2014
- Lithuanian State Studies foundation Project: "Information technology tools of clinical decision support and citizens wellness for e.Health system (No. B-07019)" 2007-2009
- Lithuanian State Studies foundation Project: "Development of special data mining methods to explore the anisotropy of texture’s temperatures of the heart (No. T-08153)”. 2008
- Lithuanian State Studies foundation Project: "Information technologies for human health – support for clinical decisions (eHealth), IT health (No. C-03013)”. 2003-2006
Presentations at Scientific Conferences, Seminars
2022
Povilas Treigys Studies and Research at Vilnius University Faculty of Mathematics and Informatics. About the Distance and Ability to Decide, April 29th. Palanga
Povilas Treigys ISPGAYA University Erasmus+ Staff visit, Seminar on Mathematical Morphology and Image Processing, May 23 - 27, Porto, Portugal.
Povilas Treigys, Jonas Stankevičius VoxelNet for 3D Linear Objects Detection in PointClouds, Euro 2022, ESPOO, July 3-6, Finland.
Povilas Treigys Detecting Cancerous Regions in DCE MRI using Functional Data, XGboost and Neural Networks, FEDCSIS 2022, September 3-7, Sofia, Bulgaria.
2021
Povilas Treigys „CLIENT STORY: The renewed VU MIF High Performance Computing Cluster is open to science and business" May 12, Vilnius, Novian, Technology and resilience.
2020
Povilas Treigys, „Software Development: Problems and Practice" February 7-9 d. Vilnius,Lithuania, Litexpo, Study Expo.
2019
Jurgita Markevičiūtė, Povilas Treigys, „Today's Luck: Data Science and Information technologies“, February 9th. Vilnius, Lithuania, Litexpo, Study Expo.
Povilas Treigys „Software Develoment: Today's Practice“, national conference „Studies and Scientific Collaboration at Vilnius University Faculty of Mathematics and Informatics“, Palanga, Lithuania, April 5-7.
Povilas Treigys, „Signal analysis methods“, University of Almeria, Erasmus+ programme, Almeria, May 8-14, Spain
Jurgita Markevičiūtė, Povilas Treigys, „Discussion with the Data, what Data Can Tell Us“, Ukmergės Antano Smetonis gymnasium, Ukmergė, Lithuania, September 16
JJurgita Markevičiūtė, Povilas Treigys, „Discussion with the Data, what Data Can Tell Us“, Druskininkų Ryto gymnasium, Druskininkai, Lithuania, September 18
2018
Mindaugas Morkūnas, Povilas Treigys "On Signal Analysis", BIBM – the 2018 IEEE International Conference on Bioinformatics and Biomedicine, Madrid, Spain 05-07.12.2018
2017
Mindaugas Morkūnas, Povilas Treigys, Arvydas Laurinavičius, Jolita Bernatavičienė "Whole-slide Pathology Images Spatial Mapping of Intra-tumor Genetic Heterogeneity", NEUBIAS2020: network of European bioimage analysts, Lisbon, Portugal 15-17.02.2017
2016
Povilas Treigys, Vytautas Jakstys, Virginijus Marcinkeviscius „Lateral Chromatic Aberration Correction in Digital Eye Fundus Images“, EURO 2016: 28th European conference on operational research, Poznań 3–6.07.2016
Science Communication
2017
Vilniaus universitete – naujos bakalauro studijų programos (in Lithuanian), http://l24.lt/lt/svietimas/item/191316-vilniaus-universitete-naujos-bakalauro-studij-programos
2019
Robotinių procesų automatizavimas Lietuvoje: galimybės ir iššūkiai (in Lithuanian), http://mif.vu.lt/lt3/kas-vyksta-fakultete/naujienos/fakulteto-naujienos/2666-robotini%C5%B3-proces%C5%B3-automatizavimas-lietuvoje-galimyb%C4%97s-ir-i%C5%A1%C5%A1%C5%ABkiai
Pokalbis su duomenimis: ką jie man gali pasakyti (in Lithuanian), https://www.lrt.lt/naujienos/mokslas-ir-it/11/1097181/pokalbis-su-duomenimis-ka-jie-man-gali-pasakyti
2020
Automation of robotic processes in Lithuania, https://bindustry.eu/automation-of-robotic-processes-in-lithuania/
2021
Building a world-class research community, https://www.delltechnologies.com/asset/en-us/solutions/business-solutions/customer-stories-case-studies/dell-technologies-customer-profile-vilnius-university.pdf
Nauji įrenginiai Vilniaus universitete leis išplėsti mokslinių tyrimų ribas medicinos srityje (in Lithuanian), https://www.delfi.lt/uzsakomasis-turinys/verslo-poziuris/nauji-irenginiai-vilniaus-universitete-leis-isplesti-moksliniu-tyrimu-ribas-medicinos-srityje.d?id=87069105
2022
VU Informaticsi pasitelkę dirbtinį intelektą ketina užkirsti kelią širdies ir kraujagyslių ligoms (in Lithuanian),https://www.delfi.lt/login/progresas/mokslas/vu-Informaticsi-imasi-sirdies-ir-kraujagysliu-ligu-pasitelke-dirbtini-intelekta.d?id=90025115
Editorial board and Reviewing
Reviewer of the internationals:
- Informatica
- Nonlinear analysis
- Baltic Journal of Modern Computing
- MDPI Sensors
- MDPI Electronics
Teaching Activities
Courses taught:
from 2005 till 2016 docent at Vilniaus kolegija / University of Applied Sciences department of Software Engineering
- Software Engineering
- Design Patterns
- Programming (C, C++, C#, .Net)
- Databases (Oracle, MySql)
- System modelling (UML)
from 2016 till 2018 assoc. prof. at VilniusTech (former Vilnius Gediminas Technical University) department of Information Systems
- Software Engineering
- Software Development Process
- Software Quality Assurance
from 2018 till 2019:
- Software Development Process
from 2019 till now assoc. prof. at Vilnius University Faculty of Mathematics and Informatics
- Deep neural networks
- Image analysis
- Database Management Systems
- Database Design
PhD Supervision
Leads PhD Students:
- Aleksas Vaitulevičius „Research and modelling of digital signals for the detection of cancerous areas of tissue in different MRI modalities", 2021-2025
- Robertas Jurkus „Maritime Traffic Awareness Evaluation using Deep Neural Networks“, 2020-2024
- Bernardas Čiapas „Image Feature Analysis for Solving Recognition Task in Self-checkout“ 2019-2023
- Justinas Jucevičius „Development of Magnetic Resonance Image Analysis Algorithms for Prostate Cancer Detection and Aggressiveness Evaluation“ 2015-2019 (2023) (sabbatical)
- Mindaugas Morkūnas „A Model for Tumour Genetic Profile and Tissue Biomarker Expression Data Integration“ 2016-2020
- Julius Venskus „Application of Deep Learning Algorithms for Marine Traffic Data Classification“ 2016-2020