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Personal profile
Research profile
Marko Petkovic is a doctoral candidate in the Materials Simulation & Modelling (MSM) group in the department of Applied Physics at TU/e as well as the Data Mining (DM) group in the department of Mathematics and Computer Science. Marko’s work focuses on creating AI solutions for modelling nanoporous materials, such as zeolites.
Academic background
Marko obtained his master's degree in Data Science in Engineering at TU/e in November 2022 under supervision Dr. Vlado Menkovski. Afterwards, he became a doctoral candidate in the MSM group.
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We need to go deeper
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Description Generation Using Variational Auto-Encoders for Precursor microRNA
Petković, M. & Menkovski, V. (Corresponding author), Nov 2024, In: Entropy. 26, 11, 12 p., 921.Research output: Contribution to journal › Article › Academic › peer-review
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Equivariant Parameter Sharing for Porous Crystalline Materials
Petković, M., Romero Marimon, P., Menkovski, V. & Calero, S., 16 Apr 2024, Advances in Intelligent Data Analysis XXII: 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24–26, 2024, Proceedings, Part I. Miliou, I., Piatkowski, N. & Papapetrou, P. (eds.). Cham: Springer, p. 129-140 12 p. (Lecture Notes in Computer Science (LNCS); vol. 14641).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile1 Citation (Scopus)7 Downloads (Pure) -
Flexible Machine Learning Estimation of Conditional Average Treatment Effects: A Blessing and a Curse
Post, R. A. J. (Corresponding author), Petkovic, M., van den Heuvel, I. L. & van den Heuvel, E. R., 1 Jan 2024, In: Epidemiology. 35, 1, p. 32-40 9 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus)52 Downloads (Pure) -
Graph Neural Networks for Carbon Dioxide Adsorption Prediction in Aluminum-Substituted Zeolites
Petković, M., Vicent-Luna, J. M., Menkovski, V. & Calero, S. (Corresponding author), 16 Oct 2024, In: ACS Applied Materials and Interfaces. 16, 41, p. 56366–56375 10 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile
Thesis
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Comparing performance of different generative models
Petković, M. (Author), de Campos, C. (Supervisor 1), 2020Student thesis: Bachelor
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Simulating and Generating pre-miRNA using Variational Auto-Encoders
Petković, M. (Author), Menkovski, V. (Supervisor 1), Vilanova, A. (Supervisor 2) & Calero, S. (Supervisor 1), 8 Nov 2022Student thesis: Master
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