Treigys Povilas - Institute of Data Science and Digital Technologies

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 publications

Scientific and other projects

Project management:

Program under the “Universities Excellence Initiative” project “Development and Validation of Machine Learning Methods Using Prepared Datasets” 2023‑2027. Project Leader.
Postdoctoral Project “Investigating speech in the presence of noise interferences employing signal processing and machine learning methods”, 2021-07-2023.07 Supervisor.
Eye fundus database development. Vilnius Region Biomedical Research Committee approval no.:158200-18/11-1057-572. Principal investigator. Project duration 11-2018 – 10-2030.
Erasmus+ project "Partnerships to Ensure Risk Management in Practice” 2015-1-LV01-KA203-013436. 2015-2016

Ongoing projects:

Lithuanian Research Council funded project “Noise‑reduction diffusion probabilistic models for ECG arrhythmia classification and atrial fibrillation (AFIB) detection” No. S‑ITP‑25‑9, 2025‑2027.
Program under the “Universities Excellence Initiative” project “Development and Validation of Machine Learning Methods Using Prepared Datasets” 2023‑2027. Project Leader.
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:

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.
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

2025

Karlauskas, Kasparas; Treigys, Povilas. Entropy-based pre-filtering of high-density forest point clouds for individual tree detection algorithms // SSTD'25: Proceedings of the 19th international symposium on spatial and temporal data, 25–27 August 2025, Osaka, Japan. New York : Association for Computing Machinery, 2025. ISBN 9798400720949. p. 137–140. DOI: 10.1145/3748777.3748806.

Naudžiūnas, Tautvydas; Perminaitė, Guoda; Treigys, Povilas. Hyperparameters optimization for diffraction ring detection in magnetic tweezers experiment data // 2025 IEEE 12th workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE), 15–17 May 2025, Vilnius, Lithuania. Piscataway, NJ : IEEE, 2025. ISBN 9781665465625. eISBN 9781665496889. ISSN 2689-7334. eISSN 2689-7342. p. [1–5]. DOI: 10.1109/AIEEE66149.2025.11050771.

Malūkaitė, Jaunė; Treigys, Povilas; Bernatavičienė, Jolita. Enhancing arrhythmia detection using an ensemble of transformer models for heartbeat classification // Machine learning, optimization, and data science: 10th international conference, LOD 2024 Castiglione della Pescaia, Italy, 22–25 September 2024 : revised selected papers. Part II. Cham : Springer, 2025. ISBN 9783031824838. eISBN 9783031824845. p. 312–322. (Lecture Notes in Computer Science, vol. 15509). DOI: 10.1007/978-3-031-82484-5_23.

2024

Vaitulevičius, Aleksas; Bernatavičienė, Jolita; Treigys, Povilas. nnU‑Net: investigation of attention mechanism for prostate zone segmentation task // The 12th International Conference on E‑Health and Bioengineering (EHB 2024), 14–15 November 2024, Iasi, Romania. New York : IEEE, 2024. ISBN 9798331532154. eISBN 9798331532147. p. [1–4]. DOI: 10.1109/EHB64556.2024.10805724.

Venskus, Julius; Jurkus, Robertas; Treigys, Povilas. A complex network approach to marine traffic interaction modeling: feature extraction for real‑time traffic awareness // DAMSS: 15th conference on data analysis methods for software systems, 28–30 November 2024, Druskininkai, Lithuania. Vilnius : Vilniaus universiteto leidykla, 2024. eISBN 9786090711125. (Vilnius University Proceedings, vol. 52). p. 120. DOI: 10.15388/DAMSS.15.2024.

Naudžiūnas, Tautvydas; Perminaitė, Guoda; Treigys, Povilas. Exploring techniques for diffraction ring detection in molecular research // DAMSS: 15th conference on data analysis methods for software systems, 28–30 November 2024, Druskininkai, Lithuania. Vilnius : Vilniaus universiteto leidykla, 2024. eISBN 9786090711125. (Vilnius University Proceedings, vol. 52). p. 111. DOI: 10.15388/DAMSS.15.2024.

Deinoravičiūtė, Urtė; Markevičiūtė, Jurgita; Treigys, Povilas. Cointegration of functional time series // DAMSS: 15th conference on data analysis methods for software systems, 28–30 November 2024, Druskininkai, Lithuania. Vilnius : Vilniaus universiteto leidykla, 2024. eISBN 9786090711125. (Vilnius University Proceedings, vol. 52). p. 23–24. DOI: 10.15388/DAMSS.15.2024.

Dastgeer, Sobia; Treigys, Povilas. Transforming black‑box models into explainable AI for breast cancer recognition // DAMSS: 15th conference on data analysis methods for software systems, 28–30 November 2024, Druskininkai, Lithuania. Vilnius : Vilniaus universiteto leidykla, 2024. eISBN 9786090711125. (Vilnius University Proceedings, vol. 52). p. 19–20. DOI: 10.15388/DAMSS.15.2024.

Treigys, Povilas; Karlauskas, Kasparas. Geometry and deep learning‑based methods comparison for segmentation of trees in aerial laser scan point clouds // EURO 2024: 33rd European conference on operational research (EURO XXXIII), 30 June – 3 July 2024, Copenhagen, Denmark. Copenhagen : DIS Congress, 2024. ISBN 9788793458260. p. 256. Prieiga per internetą: program-euro33.pdf.

Malūkaitė, Jaunė; Bernatavičienė, Jolita; Treigys, Povilas. Arrhythmia classification from ECG signals using transformers and data balancing techniques // Lietuvos magistrantų informatikos ir IT tyrimai: konferencijos darbai, 10 May 2024, Vilnius, Lithuania. Vilnius : Vilniaus universiteto leidykla, 2024. eISSN 2783‑784X. p. 90–97. DOI: 10.15388/LMITT.2024.13.

2023

Parengtas straipsnis ir stendinis pranešimas, tema: „Categorical Data Encoding Techniques for Recursive Multi-Step Prediction of Vessel Trajectory“. International Conference on Time Series and Forecasting (ITISE 2023), held in Gran Canaria, 12-14 July, 2023 (Spain).

Čiapas, Bernardas; Treigys, Povilas. Self-checkout product class verification using center loss approach // WSCG 2023: 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, Plzen, Czech Republic, May 15 – 19, 2023 : proceedings. Pilsen : University of West Bohemia, 2023. eISBN 9788086943329. p. 21-28. (Computer Science Research Notes CSRN, ISSN 2464-4617, eISSN 2464-4625 ; vol. 3301). DOI: 10.24132/CSRN.3301.4

Stankevičius, Dominykas; Treigys, Povilas. Investigation of machine learning methods for colour audio noise suppression // 2023 18th Iberian Conference on Information Systems and Technologies (CISTI), 20–23 June 2023, Aveiro, Portugal. New York : IEEE, 2023. ISBN 9798350305272. eISBN 9789893347928. eISSN 2166-0727. p. [1-6]. DOI: 10.23919/CISTI58278.2023.10211742.

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

Editorial board and Reviewing

Teaching Activities

Structure

Staff