Iaroslav Shcherbatyi

Position: Research Associate
E-Mail: (E-Mail as image for Spam-Protection)
Talk time:

on request via email

Iaroslav Shcherbatyi is a research assistant at the chair in Information and Service Systems (ISS), faculty of Business Administration, Saarland University, Germany.

Short Biography

Iaroslav Shcherbatyi completed a Bachelor’s program at the Chernivtsi National University, Ukraine and a Master’s program in Computer Science program at the University of Saarland. His master thesis topic is “Convexification of Learning From Constraints”, where he developed a novel approach of solving a large class of machine learning problems. During his Master’s program he worked at the Max Planck Institute for Informatics, where he was in charge of a project on human - computer collaboration.

Research Interests

His research interests lie in the areas of mathmematical optimization, artificial intelligence and big data.

All Publications:

2017

Maaß, W., Shcherbatyi, I., Marquardt, S., Kritzner, A., Moser, B.

Real-Time Smart Farming Services , International Conference on Agricultural Engineering , 2017.
PDF (3.52 MB) - BibTeX

Maaß, W., Shcherbatyi, I. & Marquardt, S.

Real-time Decision Making with Smart Farming Services, Proc. of 75th International Conference on Agricultural Engineering (AgEng), 2017.
BibTeX

Öksüz, N., Biswas, R., Shcherbatyi, I., Maass, W.

Davis, F., Riedl, R., vom Brocke, J., Léger, P. M., Randolph, N. (ed.)
Measuring Biosignals of Overweight and Obese Children for Real-time Feedback and Predicting Performance, Information Systems and Neuroscience - Gmunden Retreat on NeuroIS 2017, Springer, 2017.
BibTeX

Maass, W. & Shcherbatyi, I.

Data-Driven, Statistical Learning Method for Inductive Confirmation of Structural Models, Hawaii International Conference on System Sciences (HICSS), 2017.
BibTeX

2016

Iaroslav Shcherbatyi & Bjoern Andres

Bodo Rosenhahn & Bjoern Andres (ed.)
Convexification of Learning from Constraints, Lecture Notes in Computer Science, 2016, 9796, pp. 79-90.
BibTeX