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 […]
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 […]
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: Unifying Performance and Security Evaluation for Microarchitecture Design Exploration Griffin Knipe Location: Zoom Link Abstract: Computer architects develop microarchitectural features that boost instruction-level parallelism to improve CPU performance. While performance may be improved, adding new features increases the CPU’s design complexity. This further compounds the effort required to complete design verification. Trustworthy […]
MS Thesis Defense: Reconstruction of Sulcal Geometry in Brain Stimulation Models using Spherical Harmonics Hao Chen Location: Zoom Link Abstract: Over the past few years, there has been increasing interest in transcranial electrical stimulation (tCS) and thus it has been the subject of a growing number of simulation studies. Indeed, some federal agencies in the […]
MS Thesis Defense: GPUBLQMR: GPU-Accelerated Sparse Block Quasi-Minimum Residual Linear Solver Rubens Lacouture Location: Zoom Link Abstract: Solutions of linear systems of equations is the central point of many scientific and engineering research problems across a variety of domains. In many cases, the solution of linear systems can even take most of the simulation time […]
MS Thesis Defense: A Framework for Denoising Two and Three-dimensional Monte CarloPhoton Transport Simulations Using Convolutional Neural Networks Matin Raayai Ardakani Location: Zoom Link Abstract: The Monte Carlo (MC) method is considered to be the gold standard for modeling light propagation inside turbid media, proving superior to other Radiative Transfer Equation (RTE) solvers relying on […]
MS Thesis Defense: Optimizations of Caching Networks: Fairness and Application to Mobile Networks Yuezhou Liu Location: Zoom Link Abstract: In-network caching is playing a more and more important role in today's network architectures, because of the explosive growth of data traffic due to the proliferation of mobile devices and demands for high-volume media content, as […]
PhD Dissertation Defense: Interpretable Machine Learning for Retinopathy of Prematurity Muhamed Yildiz Location: Zoom Link Abstract: Retinopathy of Prematurity (ROP), a leading cause of childhood blindness, is diagnosed by clinical ophthalmoscopic examinations or reading retinal images. Plus disease, defined as abnormal tortuosity and dilation of the posterior retinal blood vessels, is the most important feature […]
MS Thesis Defense: Design of a Thruster-assisted Bipedal Robot Peter Kelly Location: Zoom Link Abstract: During the past few years, legged robot technology has been rapidly advancing. However, even the most advanced bipedal legged robots are susceptible to strong disturbances and slippery or impassible terrain. By introducing thrusters to enable hybrid legged-aerial locomotion, these problems […]