On May 12, 2021, Columbia organized a Virtual Research Day to highlight some of the over 60 faculty who work in the interdisciplinary field of Computational Science & Engineering at the School of Engineering.
This event represented the launch of a new initiative at the School to spur collaboration and future innovation in various industries, including manufacturing, health care, energy, automotive, chemicals, finance, aerospace, and many more.
A major research focus is to develop new methods and algorithms for solving computationally challenging and previously intractable problems in science and engineering using the latest advances in computing power, data science, machine learning, and cloud computing. No problem is too small or too big. Projects range from atomic-scale simulations to kilometer-scale civil engineering operations. The 14 short talks listed below represent the diversity and scale of our expertise.
If you would like to learn more about our initiative and ways to collaborate and engage our engineers and scientists, please reach out to Professor Jacob Fish (e: [email protected]), who is leading this effort, or Eric Vieira (e: [email protected]), the Director of Strategic Collaborations at Columbia Engineering.
Presentations
Virtual Research Day: Frontiers in Computational Science and Engineering Research and Software
initiative for Computational Science and Engineering (iCSE)
Columbia University
Download PPT hereSimulation of Performance and Degradation of Battery Electrodes
Alan C. West
Samuel Ruben–peter G. Viele Professor Of Electrochemistry; Professor Of Chemical Engineering And Of Earth And Environmental Engineering
Download PDF hereAl Applications in Finance
Ali Hirsa
Professor Of Professional Practice; Co-director Of Financial Engineering
Download PDF hereFEBio: An Open-Source Multiphysics Finite Element Software for Biomechanics and Biophysics
Gerard Ateshian
Andrew Walz Professor Of Mechanical Engineering And Professor Of Biomedical Engineering
Download PDF hereHybrid Physics-Data Driven Wall-Layer Models for Turbulence
Marco Giometto
Assistant Professor Of Civil Engineering And Engineering Mechanics
Download PDF hereAlgorithms For Informative And Intelligent Scientific Computing
Qiang Du
Fu Foundation Professor Of Applied Mathematics; Affiliated Faculty Of Data Science Institute
Download PDF hereThe Power Of Machine Learning In Materials Discovery
Sanat Kumar
Bykhovsky Professor Of Chemical Engineering
Download PDF hereQuantum Espresso: A Modular And Open-source Software Project For Quantum Simulations Of Materials (Tentative)
Renata Wentzcovitch
Professor Of Materials Science And Engineering, And Earth And Environmental Science
Download PDF hereChallenges In Meeting Latency Targets Of A Computationally Demanding Smart City Application
Zoran Kostic
Professor Of Professional Practice In The Department Of Electrical Engineering
Download PDF hereMicrostructural-informed Plasticity With Reinforcement Learning Guided Data Exploration
WaiChing Sun
Associate Professor Of Civil Engineering And Engineering Mechanics
Download PDF hereTowards The Autonomation Of Experiments: Quasi-real Time Analysis Of Heterogeneous Streaming Data From Scientific Experiments
Simon Billinge
Professor Of Materials Science And Engineering And Of Applied Physics And Applied Mathematics
Download PDF hereComputational Approaches to Coastal Flooding with Climate Change Impacts
Kyle Mandli
Associate Professor Of Applied Physics And Applied Mathematics
Download PDF hereCyberinfrastructure For Patient-specific Modeling Of Cardiovascular Disease
Vijay Vedula
Assistant Professor Of Mechanical Engineering
Download PDF hereTopology Optimization of Structures for Brittle/Ductile Fracture Resistance
Haim Waisman
Associate Professor of Civil Engineering And Engineering Mechanics
Download PDF here