Fine-Scale Structure Design for 3D Printing
Event Location: Newell Simon Hall 1507Bio: Julian Panetta is a PhD candidate at NYU's Courant Institute, where he is advised by Denis Zorin. Julian is interested in simulation and optimal designproblems, specifically focusing on applications for 3D printing. Before joining NYU, he received his BS in computer science from Caltech and did research at NASA's [...]
Calibration and Characterization of Low-Cost Fine Particulate Monitors and their Effect on Individual Empowerment
Event Location: GHC 8102Abstract: Air quality has long been a major health concern for citizens around the world, and increased levels of exposure to fine particulate matter (PM2.5) has been definitively linked to serious health effects such as cardiovascular disease, respiratory illness, and increased mortality. PM2.5 is one of six attainment criteria pollutants used by [...]
Visual Correspondences in the Big Data Era
Event Location: Newell Simon Hall 1507Bio: Qixing Huang is an assistant professor at the University of Texas at Austin. He obtained his PhD in Computer Science from Stanford University and his MS and BSin Computer Science from Tsinghua University. He was a research assistant professor at Toyota Technological Institute at Chicago before joining UT Austin. [...]
Computational Perception of Geometric and Physical Object Properties
Event Location: Newell Simon Hall 1507Bio: Jiajun Wu is a third-year Ph.D. student at Massachusetts Institute of Technology, advised by Professor Bill Freeman and Professor Josh Tenenbaum. His research interests lie on the intersection of computer vision, machine learning, and computational cognitive science. Before coming to MIT, he received his B.Eng. from Tsinghua University, China, [...]
Improving Prosody through Analysis by Synthesis
Event Location: GHC 6501Abstract: An iterative model-based method is proposed for improving linguistic structure, segmentation, and prosodic annotations that correspond to the delivery of each utterance as regularized across the data. For each iteration, the training utterances are resynthized according to the existing symbolic annotation. Values of various features and subgraph structures are "twiddled:" each [...]
Adaptive Motion Planning
Event Location: NSH 1305Abstract: Mobile robots are increasingly being deployed in the real world in response to a heightened demand for applications such as transportation, delivery and inspection. The motion planning systems for these robots are expected to have consistent performance across the wide range of scenarios that they encounter. While state-of-the art planners can [...]