Dr. Ulf D. Schiller
(he/him)
Assistant Professor, Materials Science & Engineering
Faculty Scholar, CU School of Health Research
Department of Materials Science & Engineering
Clemson University
161 Sirrine Hall
Clemson, SC 29634
Office: 299C Sirrine Hall
Email: uschill[at]clemson.edu
Ulf D. Schiller holds M.S. degrees in Computer Science (2003) and Physics (2005) from the University of Bielefeld and received his Ph.D. (2005) in Physics from the Johannes Gutenberg University Mainz. His dissertation research was concucted at the Max Planck Institute for Polymer Research. Ulf is currently an Assistant Professor in the Department of Materials Science and Engineering at Clemson University. He joined the department faculty after postdoctoral stays at the University of Florida, Forschungszentrum Jülich (Germany), and the Centre for Computational Science at University College London (UK). Ulf has extensive experience in developing novel scale-bridging algorithms and high-performance computing techniques for multiphysics transport phenomena. He developed the fluctuating lattice Boltzmann algorithm and contributed implementations to several open-source packages including ESPResSo, LB3D, and HemeLB. His current research focuses on mesoscopic simulation methods for interfacial phenomena in complex fluid mixtures, multiphase flows in porous media, and biomedical fluid dynamics in patient-specific geometries. His research group collaborates with experimental research groups and clinicians to develop integrated computational and data-driven approaches that support discovery and design of new materials with enhanced performance for energy, environmental, and health applications.
Nikhil Karthikeyan
(he/him)
Graduate Student
Debanjan Sarker
(he/him)
Graduate Student
Fang Wang
(she/her)
PhD Candidate
Mehrdad Yousefi
(he/him)
PhD Candidate
Mehrdad received his BS and MS degrees in Materials Science and Engineering from Amirkabir University of Technology in Tehran, Iran. His research concerns large-scale simulations of blood flow in patient-specific vascular geometries with the goal of applying computational tools to support clinical diagnosis of vascular diseases. He is also interested in applying machine learning tools to improve predictions of clinical indicators based on hemodynamics simulations.
Erin Elizabeth O'Neill
(she/her)
Undergraduate Research Assistant
Erin pursues a BS in Bioengineering with a concentration in Biomaterials. Her research concerns deformation, break-up, and coalescence of particle-stabilized liquid droplets in shear flow and magnetic fields. She also works on a disposable point-of-care home testing platform for metabolic disease.
Josh Rives
(he/him)
Undergraduate Researcher