PhD Thesis Defense
Michael D. Taylor
Carnegie Mellon University

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 [...]

VASC Seminar
Qixing Huang
Assistant Professor
University of Texas at Austin

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. [...]

VASC Seminar
Jiajun Wu
Graduate Student
MIT

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, [...]

PhD Thesis Defense
Kevin A. Lenzo
Carnegie Mellon University

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 [...]

PhD Thesis Proposal
Sanjiban Choudhury
Carnegie Mellon University

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 [...]

RI Event

Learning optimal policies for compliant gaits and their implementation on robot hardware

Bipedal animals exhibit a diverse range of gaits and gait transitions, which can robustly travel over terrains of varying grade, roughness, and compliance. Bipedal robots should be capable of the same. Despite these clear goals, state-of-the-art humanoid robots have not yet demonstrated locomotion behaviors that are as robust or varied as those of humans and [...]