_{“Close cooperation with research institutes is very important for Bosch. Our cooperation with the JKU in the field of machine learning over the past three years is a good example of professional knowledge transfer between research and business. This has led to high additional value for Bosch. Artificial intelligence is a key technology for Bosch and the topic of machine learning has occupied us for years. The past few years have been very successful for Bosch in terms of further development in this area - the new insights gained at the JKU have contributed to this and further increased the use of these technologies. At the same time, we were able to offer the doctoral candidates practical access to exciting projects.”  Patrick Miklaszewicz, Bosch}

• FWF AlKa-DL (2024-2027), opens in new window
  Geosphere Austria

• dSPACE (2024-2027), opens in new window
  dSPACE GmbH

• DeepInsight (2024), opens in new window
  AUDI AG

• Merck_2023, opens in new window

• Borealis_2023, opens in new window
  Borealis AG

• Trumpf_2023, opens in new window
  Trumpf SE + Co.KG

• DeepInsight (2023), opens in new window
  AUDI AG

• AI4GreenHeatingGrids (2023-2026), opens in new window
  FFG Arteria Technologies GmbH, Universität Graz Institut für Mathematik und Wissenschaftliches Rechnen

• Protein Design and Optimization (2022-2025), opens in new window
  UCB Biopharma SRL

• Stars4Waters (2022-2026), opens in new window
  EU Horizon Europe

• DeepInsight (2022), opens in new window
  AUDI AG

• Epilepsia (2022-2024), opens in new window
  FFG JKU, Institut für Wirtschaftsinformatik – Software Engineering (Konsortialführung), FiveSquare GmbH, Kepler Universitätsklinikum GmbH

• Zertifizierung von Machine Learning Systemen (2022-2025), opens in new window
  TÜV Holding GmbH, Software Competence Center Hagenberg GmbH

• Sensonic, opens in new window
  Sensonic GmbH

• AI-RI (2021-2026)
  Medical University of Vienna

• VZ Verbund AG (2021-2024), opens in new window
  Verbund AG
• Resilient Warehouse (TGW) (2021-2022), opens in new window
  TGW Logistics Group
• Advanced machine learning for Innovative Drug Discovery (AIDD) (2021-2024), opens in new window
  H2020-MSCA-ITN-2020
• Innovative, civil UAV Control Platform ReLoaded (INCONTROL-RL) (10/2020-9/2023), opens in new window
  TTTech Computertechnik AG
• European Learning and Intelligent Systems Excellence (ELISE) (9/2020-8/2023), opens in new window
  H2020-ICT-2018-20 / H2020-ICT-2019-3
• COMET-Modul Security and Safety for Shared Artificial Intelligence (S3AI) (2020 - 2023), opens in new window
  FFG, SCCH Hagenberg
• Privacy Preserving Machine Learning for Industrial Applications (PRIMAL) (2020 - 2023), opens in new window
  FFG, SCCH Hagenberg
• Anyline (2020 - 2023), opens in new window
  Anyline GmbH
• Resilient Warehouse (TGW) (2020), opens in new window
  TGW Logistics Group
• Zertifizierung von Deep Learning (2020 – 2022), opens in new window
  TÜV Austria Holding GmbH
• Improving Deep Learning Models in Drug Discovery (2019-2022), opens in new window
  Merck KGaA
• D3net: Driving drug design with deep multimodal and multi-task learning (2019-2022), opens in new window
  UCB Biopharma sprl
• AI-SNN - Self-Normalizing Networks as Enabler of Functional Modularity in Large AI Systems (2019/2021)
• Machine Design of Small Molecules By Artificial Intelligence (2019-2021)
  Janssen Pharmaceutica NV
• MC^3 Medical Cognitive Computing Center (2018-2021), opens in new window
  KUK GmbH, RISC Software GmbH
• B1: Physics-informed deep learning models for the simulation of granular flow (2019-2022), opens in new window
  FFG, DCS Computing GmbH
• Real Time Controller in Y.L.V.I. (2019-2021), opens in new window
  FILL GmbH
• Virtuelle Sensoren (2018-2021), opens in new window
  Robert Bosch AG
• Deep Learning for In-Silico Toxicogenetics Testing (DeepToxGen) (2017-2020)
• Deep Learning in Pharmacology (2017-2019), opens an external URL in a new window
  Bayer AG, Berlin
• TTUR - Two time-scale update rule for training GANs (2017-2018), opens an external URL in a new window

• LSTM4Drive - Long Short-Term Memory For Self-Driving Cars (2017-2018), opens an external URL in a new window
  LIT-2016-1-SEE-017
• Einsatz von Long Short Term Memory (LSTM) für self-driving automotion (2016-2019), opens an external URL in a new window
  Audi Electronics Venture GmbH
• Exaptation - Machine Learning for Compound Activity Prediction (2016-2018), opens an external URL in a new window
  JANSSEN RESEARCH & DEVELOPMENT, a division of JANSSEN PHARMACEUTICA N.V.
• Deep Learning Models for prediction of hERG inhibitors and kinase inhibitors (2016-2018), opens an external URL in a new window
  Merck KGaG, Darmstadt, Germany
• Deep Learning for vision and language applied to fashion tasks (2016-2019), opens an external URL in a new window
  Zalando SE, Berlin, Germany
• Improving Deep Learning Models in Drug Discovery (2016-2019), opens an external URL in a new window
  Merck KGaG, Darmstadt, Germany
• LSTM for Uniform Credit Assignment to Deep Networks (2016-2019), opens an external URL in a new window
  FWF Project Number P 28660-N31
• Evaluierung von Verfahren für Semantische und Objektsegmentierung zur Bilderkennung im automotiven Kontext (2016), opens an external URL in a new window
  Audi Electronics Venture GmbH
• ExCAPE (2015-2018), opens an external URL in a new window
  H2020-FETHPC-2014
• DeepTox: A computational pipeline for predicting toxic effects of chemical compounds, opens an external URL in a new window
  Challenge-winning research on machine learning methods, such as deep learning, for prediction of toxicity based on chemical structure.
• IBD Sharing between Africans, Neandertals, and Denisovans, opens an external URL in a new window
  Research for the paper "IBD Sharing between Africans, Neandertals, and Denisovans".
• ChemBioBridge - Bridging chemistry and biology for pharma industry through kernel-based large-scale data fusion (2014-2016), opens an external URL in a new window
  JANSSEN RESEARCH & DEVELOPMENT, a division of JANSSEN PHARMACEUTICA N.V.
• Very Short IBD Sharing between Humans, Neandertals (Neanderthals), and Denisovans, opens an external URL in a new window
  Research investigating the sharing of very short identity by descent (IBD) segments between humans, Neandertals (Neanderthals), and Denisovans.
• Short segments of identity by descent (IBD), opens an external URL in a new window
  Two haplotypes are identical by descent (IBD) if they share a segment that both inherited from a common ancestor. Current IBD methods reliably detect long IBD segments. We investigate SHORT IBD segments using FABIA biclustering.
• Mr.SymBioMath (2013-2017), opens an external URL in a new window
  FP7-PEOPLE-2012-IAPP, 7th Framework Programme
• QSTAR - Gene expression assisted compound chemistry (2011-2013), opens an external URL in a new window
  Johnson & Johnson Pharmaceutical Research & Development, a division of Janssen Pharmaceutica N.V.
• Copy number analysis of German outbreak strain E. Coli EHEC O104:H4 (TY-2482, LB226692) by comparing it to strain K12 DH10B at Ion Torrent sequencing data, opens an external URL in a new window
• Development of detection and feature selection methods for small copy number variations in non-oncology studies (2009-2010), opens an external URL in a new window
  Merck Serono S.A. - Geneva
• Cell line based compound prioritization and response prediction (2009-2010), opens an external URL in a new window
  Johnson & Johnson Pharmaceutical Research & Development, a division of Janssen Pharmaceutica N.V.
• Development of analysis and summarization techniques for Affymetrix arrays at probe level (2006-2008), opens an external URL in a new window
  Johnson & Johnson Pharmaceutical Research & Development, a division of Janssen Pharmaceutica N.V.
• Sequential and structural analysis of avian influenza A virus genome (2006-2009), opens an external URL in a new window
  Supported by the city of Linz