Welcome to
Clemens Heitzinger's

1 Contact Information

Photo Clemens Heitzinger

1.1 TU Wien

Assoz. Prof. Dipl.-Ing. Dr. techn. Clemens Heitzinger

Center for Artificial Intelligence and Machine Learning (CAIML)

Associate Professor
Research Unit Machine Learning
Institute of Information Systems Engineering
Department of Informatics (Computer Science)

TU Wien (Technical University Vienna)
A–1040 Vienna

Email: Clemens (dot) Heitzinger (at) TUWien (dot) ac (dot) at
Phone: +43 (1) 58801–194607

1.2 Arizona State University

Dr. Clemens Heitzinger
Adjunct Professor
School of Mathematical and Statistical Sciences (SoMSS)
Arizona State University (ASU)
P.O. Box 871804
Tempe, AZ 85287–1804
Email: Clemens (dot) Heitzinger (at) ASU (dot) edu

2 Prizes

  • Nomination of research project RELY for the Austrian National Prize in Technology 2024 (“Staatspreis Technologie 2024”).

  • START Prize 2013 for PDE Models for Nanotechnology (1.2 M€) by the Austrian Science Fund (FWF). In 2013, 9 out of 96 proposals were funded in an international competition among all areas of science. More information about the FWF START Program can be found here.

  • Erwin Schrödinger Fellowship by the Austrian Science Fund (FWF). More information about the FWF Schrödinger Program can be found here.

3 Cooperation Centers

4 Past Positions

5 Research Projects

5.1 As Principal Investigator

Total funding so far: ≈ 2.1 M€.

  1. PI, START Project funded by the Austrian Science Fund (FWF),
    PDE Models for Nanotechnology,
    Nov 2013 – Oct 2019 (projected). (9 out of 96 proposals were funded in an international competition among all areas of science.)

  2. PI, high-potential project funded by WWTF (Viennese Science and Technology Fund),
    Mathematics and Nanosensors,
    Jan 2010 – Dec 2013.

  3. PI, project funded by the Austrian Science Fund (FWF),
    Mathematical Models and Characterization of BioFETs,
    Jan 2009 – Feb 2013.

  4. PI, jubilee-fund project funded by ÖAW (Austrian Academy of Sciences),
    Multiscale Modeling and Simulation of Field-Effect Nano-Biosensors,
    Apr 2008 – June 2009. (2 out of 30 proposals were selected for funding.)

  5. Erwin Schrödinger Fellowship funded by the Austrian Science Fund (FWF),
    Mathematical Models for Nanoscale Semiconductor Device Engineering,
    Oct 2003 – Sep 2005.

5.2 As Co-PI

  1. Co-PI, research project funded by FFG,
    Reliable Reinforcement Learning for Sustainable Energy Systems (RELY),
    Sep 2023 – Aug 2025.

  2. Co-PI, project funded by Austrian Science Fund (FWF),
    Using Single Atom Catalysts as Nanozymes in FET Sensors,
    June 2023 – May 2026 (projected).
    PI: Amirreza Khodadadian (Keele University); co-PIs: Wolfgang Hilber (University of Linz) and myself.

  3. Co-PI, MSCA COFUND doctoral program co-funded by the European Commission,
    Engineering for Life Sciences (ENROL),
    Oct 2021 – Sep 2026 (projected), 4.0 M€.

  4. Co-PI, project funded by the Austrian Science Fund (FWF),
    Cargo-Selective Transport with DNA Nanopores,
    Oct 2017 – Sep 2020 (projected).
    PI: Stefan Howorka (UCL and University Linz); co-PIs: Peter Hinterdorfer (University Linz) and myself.

6 Organization of Thematic Programs, Workshops, Minisymposia, etc.

  1. Symposium AI Health Vienna 2024 – Closing the Gap in Vienna from 25 to 26 November 2024. Organized jointly with Oliver Kimberger and Maria Kletečka-Pulker.

  2. Symposium AI Health Vienna 2023 – Closing the Gap in Vienna from 13 to 14 November 2023. Organized jointly with Oliver Kimberger and Maria Kletečka-Pulker.

  3. First ASAI National Summer School on Artificial Intelligence, a joint event by ASAI (Austrian Society for Artificial Intelligence) and CAIML, in Vienna from 3 July to 7 July 2023. Organized jointly with Thomas Eiter and Stefan Woltran (both TU Wien).

  4. Guest Editor, jointly with my former PhD student Leila Taghizadeh, for the special issue Biosensors and Nanotechnology of Biosensors.

  5. Eight-week thematic program Computational Uncertainty Quantification: Mathematical Foundations, Methodology and Data with five workshops at the Erwin Schrödinger Institute in Vienna in spring 2020. Organized jointly with Fabio Nobile (EPFL), Robert Scheichl (University of Bath), Christoph Schwab (ETHZ), Sara van de Geer (ETHZ), and Karen Willcox (MIT and ICES at UT Austin). Workshops:

    1. multilevel and multifidelity sampling methods in UQ for PDEs,

    2. approximation of high-dimensional parametric PDEs in forward UQ,

    3. PDE-constrained Bayesian inverse UQ: spatial statistical models and PDE discretizations,

    4. statistical estimation and machine learning in UQ for PDEs,

    5. UQ in kinetic and transport equations and in high-frequency wave propagation.

  6. Minisymposium Metamaterials at the SIAM Annual Meeting 2018 (SIAM AN18) in Portland, Oregon, USA, from 9 till 13 July 2018. Organized jointly with Boaz Blankrot (one of my PhD students).

  7. Minisymposium UQ for Kinetic Equations at the SIAM Conference on Uncertainty Quantification 2018 (SIAM UQ18) in Garden Grove, California, USA, from 16 till 19 April 2018.

  8. Minisymposium Stochastic PDEs and Uncertainty Quantification with Applications in Engineering at the 19th European Conference on Mathematics for Industry (ECMI 2016) in Santiago de Compostela, Spain, from 13 till 17 June 2016. Organized jointly with Hermann Matthies (TU Braunschweig).

  9. Thematic program Modeling and Simulation of Nanostructures in Biology and Physics (NANO-10) at the Wolfgang Pauli Institute, Vienna, in 2010.

  10. Workshop on Nanostructures in Biology and Physics at the Wolfgang Pauli Institute, Vienna, from July 22 till July 25, 2008.

7 Postdoctoral Researchers and Students

7.1 Postdoctoral Researchers

  1. Amirreza Khodadadian: PhD University of Vienna. December 2017 – October 2018. Then a postdoctoral researcher at Leibniz University Hanover, Germany, and Senior Lecturer at Keele University, UK.

  2. Jose A. Morales E.: PhD UT Austin. October 2016 – September 2018. Then an assistant professor at the University of Texas San Antonio.

  3. Leila Taghizadeh: PhD TU Wien. October 2019 – July 2021. Then a postdoctoral researcher at TU München.

  4. Gerhard Tulzer: PhD TU Wien. April 2015 – June 2016. Then an Universitätsassistent at the University of Linz (JKU).

  5. Martin Vasicek: PhD TU Wien. January 2010 – January 2012.

7.2 PhD Students

  1. Stefan Baumgartner: PDE Models of Field-Effect Sensors (PhD thesis), defense December 2012
  2. Boaz Blankrot: _Deterministic and Robust Optimization of Complex Nanoscale Photonic Structures (PhD thesis), defense September 2020
  3. Alena Bulyha: Modeling and Simulation of Field-Effect Biosensors, defense July 2011
  4. Lorenz Kapral: title of thesis TBD
  5. Ahmad Karimi: title of thesis TBD
  6. Amirreza Khodadadian: Uncertainty Quantification with Applications in Nanotechnology (PhD thesis), defense November 2017
  7. Hrvoje Kukina: title of thesis TBD
  8. Laurenz Ruzicka: title of thesis TBD
  9. Fabian Schneider: working title of the thesis: Bayesian Inversion
  10. Leila Taghizadeh: Stochastic PDEs for Modeling Transport in Nanoscale Devices (PhD thesis), defense October 2019
  11. Gerhard Tulzer: Modeling and Simulation of Surface Processes at Nanoscale Sensors (PhD thesis), defense April 2015

7.3 MSc Students

  1. Claus Aichinger: A Sparse Grid Stochastic Collocation FEM for Uncertainty Quantification in a Nanowire Sensor Model (MSc thesis)
  2. Stefan Baumgartner: Three-Dimensional Modeling of a Nanowire Field-Effect Biosensor (BioFET) (MSc thesis)
  3. Sebastian Bittner: The Vapnik-Chervonenkis Dimensions of Different Neural Network Architectures (MSc thesis)
  4. Andreas Buttinger-Kreuzhuber: Simulation of the Flow through Nanopores (MSc thesis)
  5. Clemens Etl: Sequence Reconstruction in Nanopore Sequencing (MSc thesis)
  6. Caroline Geiersbach: Error Estimates and Optimal Approaches to the Stochastic Homogenization in Elliptic Partial Differential Equations (MSc thesis)
  7. Christain Göth: title of thesis TBD
  8. Stephanie Holly: title of thesis TBD
  9. Helmut Horvath: Deep Reinforcement Learning with Applications to Autonomous Driving (MSc thesis)
  10. Klemens Katterbauer: PBSens: a Mathematical Model for Nanowire Gas Sensors (MSc thesis)
  11. Tobias Kietreiber: Combining Maximum Entropy Reinforcement Learning with Distributional Q-Value Approximation Methods (MSc thesis)
  12. Alexander Kund-Leitner: title of thesis TBD
  13. Julien Malle: Fuzzy Clustering an Application to Distributional Reinforcement Learning_ (MSc thesis)
  14. Florian Mayer: title of thesis TBD
  15. Marina Rehrl: Differential Equation Models for Surface Reactions of SnO2 Nanowire Gas Sensors and their Inverse Modeling (MSc thesis)
  16. Stefan Rigger: High-Dimensional Integration: Cubature Formulas for Multisymmetric Functions (MSc thesis)
  17. Branimir Roguz: title of thesis TBD
  18. Tobias Salzer: Reinforcement Learning for Games with Imperfect Information – Teaching an Agent the Game of Schnapsen (MSc thesis)
  19. Jakob aus der Schmitten: title of thesis TBD
  20. Benjamin Stadlbauer: Fast Algorithms for Iterative Bayesian PDE Inversion (MSc thesis)
  21. Felix Wagner: Optimal Operation of Cryogenic Calorimeters through Deep Reinforcement Learning (MSc thesis)
  22. Richard Weiss: title of thesis TBD

7.4 BSc Students

  1. Markus Böck: Categorical Distributional Reinforcement Learning – Finite-Time Analysis and Application with Risk-Sensitive Policies (BSc thesis)
  2. Patrizia Daxbacher: Deep Distributional Reinforcement Learning: from DQN to C51 and QR-DQN (BSc thesis)
  3. Sebastian Eresheim: Self_Propagating Malware Containment via Reinforcement Learning (BSc thesis)
  4. Stephanie Holly: Evaluation and Optimization of Knowledge-Aggregation Algorithms in an Industrial Federated Learning System (BSc thesis)
  5. Markus Peschl: Monte Carlo Policy Gradients in Discrete Event Simulations (BSc thesis)

8 Collaborators

With joint publications:

9 Academic Service

9.1 Referee for Funding Agencies and Universities

  • European Research Council (ERC)
  • FP7 (Seventh Framework Program of the European Commission)
  • Israel Science Foundation
  • KU Leuven
  • NSERC (Natural Sciences and Engineering Research Council of Canada)
  • NSF (National Science Foundation, USA)
  • ZonMw (the Netherlands Organization for Health Research and Development, the Netherlands)

9.2 Referee for Journals

  • ACS Nano
  • ACS Sensors
  • AIP Advances
  • Alexandria Engineering Journal
  • Artificial Intelligence in Medicine
  • Biosensors
  • Communications in Nonlinear Science and Numerical Simulation
  • Computer Methods in Applied Mechanics and Engineering (CMAME)
  • Computers and Chemical Engineering
  • Computers and Mathematics with Applications
  • Computers in Biology and Medicine
  • Computing in Science and Engineering
  • Discrete and Continuous Dynamical Systems Series B (DCDS-B)
  • IEEE Access
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • IEEE Transactions on NanoBioscience
  • IEEE Transactions on Nanotechnology
  • IET Nanobiotechnology
  • Inverse Problems in Science and Engineering
  • Journal of Applied Mathematics
  • Journal of Applied Physics
  • Journal of Chemical Physics
  • Journal of Computational and Applied Mathematics
  • Journal of Computational Electronics (JCE)
  • Journal of Computational Physics (JCOMP)
  • Journal of Electroanalytical Chemistry
  • Journal of Experimental Nanoscience
  • Journal of Mathematical Physics
  • Journal of Physiology and Pharmacology
  • Journal of Statistical Physics
  • (Mathematical Reviews)
  • Mathematics and Computers in Simulation
  • Mathematics of Computation
  • Microsystem Technologies (MITE)
  • Multiscale Modeling and Simulation (MMS)
  • Nanoscale
  • Patterns
  • Physical Review B (PRB)
  • Physical Review E (PRE)
  • PLOS Computational Biology
  • Sensors
  • Sensors & Actuators: B Chemical
  • SIAM Journal on Applied Mathematics (SIAP)
  • SIAM/ASA Journal on Uncertainty Quantification (JUQ)

9.3 Referee for Conferences

9.4 Academic Board of the PhD Program in ICT at the University of Modena and Reggio Emilia

Distinguished International Member on the Academic Board of the PhD Program in Information and Communication Technologies (ICT) at the Department of Engineering Enzo Ferrari of the University of Modena and Reggio Emilia.

9.5 Program Committees

Served on the program committees of numerous international conferences.