Emil Slusanschi is a professor at the University Politehnica of Bucharest (UPB). He received his MSc in Computer Science from the UPB in 2001 and his PhD from the Institute for Scientific Computing at the RWTH-Aachen University in Germany in 2008. His fields of interest include high performance scientific computing, compilers, automatic semantic transformations of computer codes, numerical algorithms, multi-core and multi-processor systems. He coordinated the UPB team in numerous European and National research project. He is currently heading the Computer Science and Engineering Department and the Centre for Research in Computing within the UPB, he is a member of the board in the Romanian Association for the Promotion of Advanced Computational Methods in Scientific Research, and a lifetime member of ACM.
European Lighthouse of AI for Sustainability
2023 - 2027
A Common Code Base and Toolkit for Deployment of Applications to Secure and Reliable Virtual Execution Environments
2019 - 2021
Spacetime Vision – Towards Unsupervised Learning in the 4D World
2019 - 2023
Developing quantum information and quantum technologies in Romania
2018 - 2021
Simulations of Ultra-High Intensity Laser Pulse Interaction with Solid Targets
2017 - 2019
Creating Roadmaps in Aerial Images with Generative Adversarial Networks and Smoothing-based Optimization EMIL IOAN SLUSANSCHI, MARIUS DAN LEORDEANU, 16th IEEE International Conference on Computer Vision (ICCV) IEEE, 2017, 000425239602017 10.1109/ICCVW.2017.246
SafeUAV: learning to estimate depth and safe landing areas for UAVs from synthetic data Dragos Cristian COSTEA, Vlad LICARET, Mihai-Marian PIRVU, EMIL IOAN SLUSANSCHI, MARIUS DAN LEORDEANU, Alina Marcu, COMPUTER VISION - ECCV 2018 WORKSHOPS, PT II SPRINGER INTERNATIONAL PUBLISHING AG, 2019, 000594380500004 10.1007/978-3-030-11012-3
Automatic differentiation of the general-purpose computational fluid dynamics package FLUENT EMIL IOAN SLUSANSCHI, JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME ASME, 2007, 000248617300015 10.1115/1.2720475
A multi-stage multi-task neural network for aerial scene interpretation and geolocalization Alina Elena MARCU, Dragos Cristian COSTEA, EMIL IOAN SLUSANSCHI, MARIUS DAN LEORDEANU, , 2018,
Data Hiding Using Steganography EMIL IOAN SLUSANSCHI, 2013 IEEE 12th International Symposium on Parallel and Distributed Computing IEEE, 2013, 10.1109/ISPDC.2013.29
Convolutional Neural Network Processing of Radio Emission for Nuclear Composition Classification of Ultra-High-Energy Cosmic Rays TUDOR-ALEXANDRU CALAFETEANU, Paula Gina Isar, EMIL IOAN SLUSANSCHI, Universe MDPI, 2024, 001307445000001 10.3390/universe10080327
High-Throughput Computing: Case Study of Medical Image Processing Applications Maria-Stefania PREDESCU, Cosmin-Gabriel SAMOILA, EMIL IOAN SLUSANSCHI, Ana GAINARU, FlexScience 2024 - Proceedings of the 2024 on Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures, Part of: HPDC 2024 - 33rd International Symposium on High-Performance Parallel and Distributed Computing ASSOC COMPUTING MACHINERY, 2024, 001325358300003 10.1145/3659995.3660039
Code Comments: A Way of Identifying Similarities in the Source Code Rares FOLEA, EMIL IOAN SLUSANSCHI, Mathematics MDPI, 2024, 001200886200001 10.3390/math12071073
Classification of laser beam profiles using machine learning at the ELI-NP high power laser system Vlad Jan GACIU, IOAN DANCUS, Bogdan Diaconescu, Daniela GHEORGHITA, EMIL IOAN SLUSANSCHI, CATALIN-MIHAI TICOS, AIP Advances AIP Publishing, 2024, 001198851000010 10.1063/5.0195174
On Plagiarism and Software Plagiarism Rares FOLEA, EMIL IOAN SLUSANSCHI, SPRINGER INTERNATIONAL PUBLISHING AG, 2024, 001331194300024 10.1007/978-3-031-70259-4_24