PhD Dissertation Defense: Model-Based Manipulation of Linear Flexible Objects Peng Chang Location: Teams Meetings Abstract: Manipulation of deformable objects plays an important role in various scenarios such as manufacturing, service, healthcare, and security. Linear flexible objects such as cables, wires, and ropes are common in these scenarios. However, the high dimensionality of the linear flexible […]

MS Thesis Defense: Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips Ashutosh Singh Location: Zoom Link Abstract: Past affective neuroscience studies have attempted to identify a “biomarker” or consistent pattern of brain activity (as measured externally using, for instance, fMRI) to indicate the presence of a single pre-defined category of emotion […]

MS Thesis Defense: Supervised Classification on Deep Neural Network Attack Toolchains Yize Li Location: Zoom Link Abstract: Deep learning, while an important machine learning technique, is susceptible to adversarial example attacks. Adversarial examples generated by adding perturbations on clean images/video frames can lead to mis-predictions of deep neural networks. Moreover, deep learning/machine learning can be […]