Please join us for our first CeDAR Annual Symposium featuring the recipients from the seed funding we awarded last year. Each speaker will share the premise and progress of their research - it promises to be a fascinating morning that you won't want to miss!
Moderator: Chen-Nee Chua, Professor, Electrical and Computer Engineering
Speakers:
Randy Carney, Assistant Professor, Biomedical Engineering: “ML assisted sampling and patient classification to eliminate paralyzing bottlenecks in a high-throughput Raman spectroscopy platform for cancer liquid biopsy”
Krishnakumar Balasubramanian, Assistant Professor, Statistics: “Fine-Grained Uncertainty Quantification of Predictive Algorithms for Healthcare Systems”
Yue Wu, Doctoral Student: “Data Science Approaches in Large-Scale Light Microscopy Imaging with Applications to Neuroimmunology”
Soheil Ghiasi, Professor, Electrical and Computer Engineering: “Needle in Haystack: Fetal Signal Isolation for Transabdominal Fetal Pulse Oximetry”
10:00 am
Session II – Fundamental Research
Moderator: Xin Liu, Professor, Computer Science
Speakers:
Samuel Loomis, Doctoral Student, Crutchfield Lab, Physics & Astronomy: “Predictive State Analysis and Topological Vector Spaces”
Minhui Huang, Graduate Students, Electrical and Computer Engineering; and Shiqian Ma, Associate Professor, Mathematics: “Riemannian Optimization for Projection Robust Optimal Transport”
10:25 am
Break
10:45 am
Session III – Food and Agriculture
Moderator: Alexander Aue, Associate Professor & Chair, Statistics
Speakers:
Gerald Quon, Assistant Professor, Molecular and Cellular Biology: “Multi-task learning for the discovery of changes in co-occurrence networks across conditions”
Mason Earles, Assistant Professor, Biological and Agricultural Engineering: “Low-cost, Data-Efficient AI-Enabled Sensing Kits for Grape Production”
11:05 am
Session IV – Climate and Environment
Moderator: Aaron Smith, Professor, Agricultural and Resource Economics
Speakers:
Samuel Sandoval Solis, Associate Professor, LAWR: “Bright Spots and Blind Spots: Can Big Data Improve Water Research in Latin America?”
Obin Sturm, Graduate Researcher, AQRC: “Development of a mass-conserving machine learning algorithm for atmospheric chemistry surrogate models”
Derek Young, Research Ecologist, Plant Sciences:
“Rapid quantification of forest fuels for wildfire risk mitigation using drones and computer vision”
Jessie Au, Postdoctoral Researcher and Troy Magney, Assistant Professor, Plant Sciences: “A model-data fusion approach to quantify and predict the fate of terrestrial carbon in California”
Joakim Weill, Doctoral Student, Agricultural and Resource Economics: “Perilous Risk Assessments: Evidence from the National Flood Insurance Program”
