• ECE PhD Dissertation Defense: Ilkay Yildiz

    PhD Dissertation Defense: Spectral Ranking Regression Ilkay Yildiz Location: Zoom Link Abstract: We consider learning from ranking labels generated as follows: given a query set of samples in a dataset, a labeler ranks the samples w.r.t.~her preference. Such ranking labels scale exponentially with query set size; most importantly, in practice, they often exhibit lower variance […]

  • ECE MS Thesis Defense: Danton Zhao

    MS Thesis Defense: LiDAR with a Silicon Photomultiplier for Applications in Adverse Weather Danton Zhao Location: Zoom Link Abstract: As Light Detection and Ranging (LiDAR) integration becomes more widespread in the field of remote sensing for autonomous navigation, the impact of degraded visual environments will quickly need to be addressed. The particles responsible for the […]

  • ECE MS Thesis Defense: Yize Li

    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 […]

  • ECE MS Thesis Defense: Ashutosh Singh

    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 […]

  • ECE PhD Dissertation Defense: Peng Chang

    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 […]

  • ECE MS Thesis Defense: Griffin Knipe

    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: Hao Chen

    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 […]

  • Making a Graduate School Plan

    In this intensive workshop, we'll walk through the steps of identifying a right fit graduate program and help you plan out the who, what, when, where, and how of applying to graduate schools. Bring a laptop if you have one, a notebook, and come prepared with some thoughts about what’s next! If you can’t make it, […]

  • ECE MS Thesis Defense: Rubens Lacouture

    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 […]

  • ECE MS Thesis Defense: Matin Raayai Ardakani

    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 […]