Dr.-Ing. Tomislav Marić
Computational scientist · research leader · consultant
Profile
Developing verified agentic discovery and design workflows for thermofluid systems through open-source CFD, experiments, probabilistic machine learning, Bayesian optimization, and reproducible research software. Agent systems support method development and audit; explicit verification, validation, provenance, and human review determine acceptance.
Current appointments & affiliations
Independent interdisciplinary group leadership with primary doctoral supervision rights and independent teaching; successful interim evaluation in 2023.
Research leadership connecting multiphase-flow methods, wetting, experiments, and data-informed engineering systems.
Interdisciplinary affiliation spanning mathematical modelling, simulation, and engineering computation.
Advising university leadership on research infrastructure and digitalization.
Professional experience
Independent research-group leadership, primary doctoral supervision, independent teaching, and development of an autonomous research and funding profile.
Numerical methods, multiphase-flow modelling, research software, and doctoral co-supervision.
Research-software and engineering-software entrepreneurship alongside academic work.
Lagrangian/Eulerian numerical methods for fluid-interface advection on unstructured meshes.
Education
Lagrangian/Eulerian numerical methods for fluid-interface advection on unstructured meshes.
Geometrical Volume-of-Fluid methods for incompressible free-surface flows using OpenFOAM.
Three-dimensional droplet-impact simulation using OpenFOAM.
Research leadership
23 peer-reviewed contributions
6 + 2 completed + ongoing doctorates as primary supervisor
5 fully industry-funded doctoral projects
687 citations · Sep 2026
Awarded funding & leadership
Led the information-infrastructure project in the final phase and contributed to successful B01 and B02 proposals.
Led the national engineering research-data service on research-software development.
Two awarded grants totalling €8,670 for international cooperation and proposal preparation.
Secured five fully funded doctoral positions as PI and primary supervisor—four with Bosch Corporate Research and one with Rimac Automobili.
Supervision
Primary supervisor of six successfully defended and two ongoing doctorates as of September 2026; five positions fully funded through industrial collaborations.
Ten completed master’s theses spanning data-driven CFD, Bayesian optimization, interface methods, physics-informed mesh deformation, impact, heat transfer, and annular flows.
Selected teaching
Lead lecturer; lectures and exercises for a large engineering foundation course at TU Darmstadt.
Co-conceived, built, and organized a new specialized master’s course for ten students.
Independently conceived and delivered lectures and exercises on Lagrangian/Eulerian interface-advection methods.
Seminars, datathons, and recurring hackathons connecting version control, testing, metadata, HPC, CFD, and machine learning.
Academic & professional service
Co-organization of minisymposia and workshops at WCCM–ECCOMAS, ECCOMAS, GAMM, COUPLED, GACM, and OpenFOAM events.
Research software
Lead development and scientific architecture for LEIA/LENT, DeboRheo, OpenFOAM–SmartSim, and OpenFOAM Data-Driven Modelling resources. TwoPhaseFlow work is performed in a research fork; the original framework was developed by Henning Scheufler and Johan Roenby.
Public record
Public version: private address, telephone number, birth data, signatures, application documents, and third-party reference contacts are excluded.