The Penn Institute for Computational Science (PICS) at the University of Pennsylvania hosts an annual symposium in collaboration with the School of Engineering at Penn. The symposium brings together mathematicians, computer scientists, physical and biological scientists, and engineers from across Penn’s campus and the region with intellectual and research interests in computational science. The 2018 annual symposium was held on October 5th.
2018 Annual Symposium
Modern Computational Science: Connecting to Experiments by Harnessing Moore’s Law, Novel Algorithms, and Artificial Intelligence
The Penn Institute for Computational Science (PICS) and the University of Pennsylvania are pleased to present this annual symposium that brings together mathematicians, computer scientists, physical and biological scientists, and engineers from across Penn’s campus and the region who all share intellectual and research interests in computational science.
It is an exciting time to be a computational scientist due in large part to recent advancesrelated to Moore’s Law, data science, novel algorithms, and the convergence of experiments and computation.
Beyond communicating the accrued knowledge in each of these individual research areas covered in these sessions, the intellectual focus of this symposium will be to build bridges between these disparate research areas by clarifying their shared (and distinct) mathematical and computational foundations and to foster the cross-fertilization between fields.
2018 Symposium Chairs
Chenfanfu Jiang
Assistant Professor of Computer and Information Science
Amish Patel
Reliance Industries Term Assistant Professor of Chemical and Biomolecular Engineering
Paris Perdikaris
Assistant Professor of Mechanical Engineering and Applied Mechanics
External Speakers:
- “Computational Modeling of Active Nematics in Two and Three Dimensions,” Michael Hagan, Professor of Physics Ph.D., Brandeis University
- “The U.S. Department of Energy Exascale Computing Project,”
Douglas Kothe, Director of the Exascale Computing Project, Oak Ridge National Laboratory - “Data-Driven Design for Autonomy,” Ming Lin, Professor Elizabeth Stevinson Iribe Chair of Computer Science, University of Maryland
- “Machine Learning, Particle Systems, and Scientific Computing,” Eric Vanden-Eijnden, Professor of Mathematics, Courant University
Internal Speakers:
- “Exploiting the Topography of Energy Landscapes for the Tuning of Complex Systems,” Eleni Katifori, Assistant Professor Department of Physics, University of Pennsylvania
- “Computational Imaging as a Biomarker in Precision Cancer Care,” Despina Kontos, Associate Professor of Radiology, Perelman School of Medicine
- “Is the brain like a deep learning system?” Konrad Kording, PIK University Professor, Department of Neuroscience, Perelman School of Medicine
- “Biophysical Models for Subcellular Processes,” Ravi Radhakrishnan, Professor of Bioengineering, Interim Director, Penn Institute for Computational Science, University of Pennsylvania
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