MICDE Ph.D. Student Seminars 2023-2024: Guoer Liu
2022 South Thayer BuildingWhen Is Big Data Biased?
When Is Big Data Biased?
Computational Methods in Chemistry
"Gradient Boosting-Based Discrete Failure Time Model for Selecting Time-Varying Effects and Interactions" - Lingfeng Luo - Biostatistics & Scientific Computing
Hannah Van Wyk will present her talk: Using a hidden markov model to pinpoint the date of the primary case in a dengue outbreak in rural Ecuador. An infectious disease outbreak investigation typically consists of retrospectively determining information regarding the outbreak such as the timing of the primary case (the first case of the outbreak, […]
The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public but we ask that all attendees register so that we can prepare properly. If you have any questions, please email [email protected]. Register to attend this seminar Jeffrey Hatch: An introduction […]
The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public but we ask that all attendees register so that we can prepare properly. If you have any questions, please email [email protected]. Register to attend this seminar Anna Halstenbach: "Uncovering the […]
Computational Science and High-Performance Computing at Lawrence Livermore National Laboratory
"Bridging Wavefunctions and Density Functionals: Unlocking Accurate Data for Functional Development" - Vaibhav Khanna (Chemistry and Scientific Computing)
"Turbulence transport and size segregation of shock-driven multiphase flows" - Archana Sridhar (Aerospace Engineering and Scientific Computing)
"BME and Scientific Computing" - Ashley Tan (Biomedical Engineering and Scientific Computing)
"Emergence of three-dimensional structures from vortex pair instabilities in shocked interfacial flows" - William White (Mechanical Engineering and Scientific Computing)
"Embodying mechano-intelligence in mechanical metastructures for in-memory phononic learning" - Yuning Zhang (Mechanical Engineering and Scientific Computing)
"Global Probabilistic Geomagnetic Perturbation Forecasting" - Hongfan Chen (Mechanical Engineering and Scientific Computing)