Lviv Polytechnic National University (Ukraine)
Silesian University of Technology (Poland)
University of Jyväskylä (Finland)
Leiden Institute of Advanced Computer Science Leiden University (The Netherlands)
Lesya Ukrainka Volyn National University (Ukraine)
Kherson National Technical University, Ukraine
Lviv IT Cluster (Ukraine)
SoftServe (Ukraine)

    

Information message

Dear colleagues!

We invite you to participate in the Modern Data Science Technologies Doctoral Consortium

MoDaST-2025 Doctoral Consortium

The Doctoral Consortium will be held on 15-16th of June 2025 in the Lviv Polytechnic National University. The language of MoDaST meetings is English only. Presentation of papers is obligatory. The volume of the works – above 10 pages each (see https://ceur-ws.org/HOWTOSUBMIT.html). Authors are requested to follow the 1-column CEUR-WS template. The template can be downloaded here.

The main purpose of the Modern Data Science Technologies Doctoral Consortium is providing a forum for researchers to discuss models, methods and information technology for data science, data analysis and business analysis, and their real-life applications. In MoDaST Doctoral Consortium, we encourage the submission of papers on machine learning, deep learning, decision making, and multicriteria decision analysis areas. The MoDaST Doctoral Consortium is soliciting literature review, survey and research papers comments including, whilst not limited to, the following areas of interest:

• Analytical methods;
• Ontological engineering;
• Business analysis of information processes;
• Big data analysis;
• Analytical data warehouses;
• Cloud services;
• Repositories and data spaces;
• Data consolidation technologies;
• Computer linguistics;
• Machine Learning Applications;
• Recommendation system with collaborative filtering;
• Natural Language Processing;
• Data Visualization;
• Data Acquisition and Wrangling;
• Machine Learning;
• Clustering;
• Neural Networks;
• Classification algorithms;
• Regression algorithms;
• Training (weight optimization) using backpropagation;
• Gradient descent;
• Setting the learning rate of your neural network;
• Deep neural networks;
• Batch normalization;
• Convolutional neural networks;
• Image segmentation;
• Object detection (YOLO, SSD, Faster R-CNN);
• Evaluating object detection models;
• Facial recognition;
• Recurrent neural networks;
• Transformer networks;
• Siamese networks;
• Reinforcement Learning.

Paper submission deadline: 14.05.2025

Notification of acceptance: 20.05.2025

Camera ready submission: 30.05.2025

 

Conference date: 15-16th of June, 2025.

Program Committee:

Chair:

Vasyl Lytvyn, Lviv Polytechnic National University, Ukraine

Members of the program committee:

1. Agnieszka Kowalska-Styczen, Silesian University of Technology, Poland
2. Aleksandr Gozhyj, Petro Mohyla Black Sea National University, Ukraine
3. Bohdan Rusyn, Karpenko Physico-Mechanical Institute of the NAS of Ukraine, Ukraine
4. Dmytro Peleshko, GeoGuard, Vancouver, British Columbia
5. Irina Kalinina, Petro Mohyla Black Sea National University, Ukraine
6. Iryna Yevseyeva, De Montfort University, Leicester, UK
7. Jun Su, Hubei University of Technology, China
8. Klaus ten Hagen, University of Applied Science Zittau/Goerlitz, Germany
9. Lyubomyr Chyrun, Ivan Franko National University of Lviv, Ukraine
10. Maksym Korobchynskyi, Military-Diplomatic Academy named after Eugene Bereznyak, Ukraine
11. Manik Sharma, University Jalandhar, India
12. Mariya Nazarkevych, Ivan Franko National University of Lviv, Ukraine
13. Michael Emmerich, Leiden Institute of Advanced Computer Science, Leiden University, The Netherlands
14. Natalia Grabar, CNRS UMR 8163 STL, France
15. Nina Khairova, National Technical University “KhPI”, Ukraine
16. Olena Vynokurova, GeoGuard, Vancouver, British Columbia
17. Olga Cherednichenko, National Technical University “KhPI”, Ukraine
18. Sergii Babichev, Jan Evangelista Purkinje University in Usti nad Labem, Czech Republic
19. Sergey Subbotin, Zaporizhzhia Polytechnic National University, Ukraine
20. Silakari Sanjay, Rajiv Gandhi Technical University, India
21. Thierry Hamon, LIMSI-CNRS & Paris-Nord university, France
22. Tetiana Hovorushchenko, Khmelnytskyi National University, Ukraine
23. Vasyl Lytvyn, Lviv Polytechnic National University, Ukraine
24. Viacheslav Kovtun, Polish Academy of Science, Poland
25. Vitor Basto-Fernandes, ISCTE-IUL, Lisbon, Portugal
26. Volodymyr Lytvynenko, Kherson National Technical University, Ukraine
27. Yevhen Burov, Lviv Polytechnic National University, Ukraine

Workshop Organizing Committee:

Head:

Mykhailo Luchkevych, Lviv Polytechnic National University, Ukraine

Deputies:

1. Mariia Nazarkevych, Ivan Franko National University of Lviv, Ukraine
2. Lyubomyr Chyrun, Ivan Franko National University of Lviv, Ukraine
3. Serhii Vladov, Kharkiv National University of Internal Affairs, Ukraine
4. Olga Lozynska, Lviv Polytechnic National University, Ukraine
5. Oksana Markiv, Lviv Polytechnic National University, Ukraine
6. Dmytro Dosyn, Lviv Polytechnic National University, Ukraine
7. Oksana Oborska, Lviv Polytechnic National University, Ukraine
8. Yuriy Ryshkovets, Lviv Polytechnic National University, Ukraine
9. Iryna Shakleina, Lviv Polytechnic National University, Ukraine
10. Vitalii Danylyk, Lviv Polytechnic National University, Ukraine
11. Roman Romanchuk, Lviv Polytechnic National University, Ukraine
12. Rostyslav Fedchuk, Lviv Polytechnic National University, Ukraine
13. Roman Lynnyk, Lviv Polytechnic National University, Ukraine

 

Address of the MoDaST-2025 organizing committee:

Department of information systems and networks,
Lviv Polytechnic National University,
Mytropolyta Andreya st., 5, 4th educational building, room 122a
E-mail: modast.in.ua@gmail.com
WEBSITE: https://ism.lpnu.ua/uk/MoDaST - MoDaST

 

Manuscripts for Workshop MoDaST-2025 should be submitted by the workshop e-mail: modast.in.ua@gmail.com

No registration fee.

 

Proceedings of the Modern Data Science Technologies Doctoral Consortium (MoDaST 2025) https://ceur-ws.org/Vol-4005/