PhD Defense: Efficient Data Access with Heterogeneous Computing using GPUs and Direct Non-volatile Storage. Mahsa Bayati Location: Zoom Link Abstract: The amount of data being collected that requires analysis is growing at an exponential rate. Along with this growth comes an increasing need for storage and computation. Researchers address these needs by (I) deploying distributed bigdata […]
PhD Proposal Review: 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 […]
PhD Proposal Review: Content-Aware Design Assistance Frameworks for Graphic Design Layouts Sara Banian Location: Zoom Link Abstract: Layout is an important visual communication factor in graphic design that encompasses a page's overall composition. During the different design stages, designers express their requirements through images describing the interface’s visual layout, hierarchical structure, and content. They create […]
PhD Proposal Review: Active Resource Partitioning and Planning for Storage Systems using Time Series Forecasting and Machine Learning Techniques Maher Kachmar Location: Zoom Link Abstract: In today's enterprise storage systems, supported data services such as snapshot delete or drive rebuild can result in tremendous performance overhead if executed inline along with heavy foreground IO, often […]
PhD Proposal Review: Explainable Efficient Models for Computer Vision Applications Wenqian Liu Location: Zoom Link Abstract: State of the art deep learning based models, such as Convolutional Neural Networks (CNNs) and generative models, achieve impressive results, but with their great performance comes great complexity and opacity, huge parametric spaces and little explainability. The criticality of […]
PhD Proposal Review: Attention Mechanism in Deep Learning for Visual Recognition Kunpeng Li Location: Zoom Link Abstract: Deep learning models have achieved great success in various tasks for visual recognition such as image classification, semantic segmentation, visual semantic matching etc. Instead of just treating them as black boxes, recently, a tremendous of efforts have been put […]
PhD Dissertation Defense: Optimal Proactive Services with Uncertain Predictions Ran Liu Location: Zoom Link Abstract: With the evolution of technologies such as machine learning and data science, proactive services with the aid of predictive information have been recognized as a promising method to exploit network bandwidth, storage, and computation resources to achieve improved user experiences, […]
PhD Proposal Review: Power Optimization and Management of PV Grid-Connected Microgrid in Energy Market Ya Guo Location: Zoom Link Abstract: Microgrids can integrate renewable energy resources (RES), such as photovoltaics (PV) and wind energy generation, with the main power grid to provide reliable, secure and affordable energy. Fortunately, the electricity markets have evolved to facilitate […]
PhD Dissertation Defense: Active Recursive Bayesian Classification (Querying and Stopping) for Event Related Potential Driven Brain Computer Interface Systems Aziz Kocanaogullari Location: Remote (contact akocanaogullari@ece.neu.edu) Abstract: Recursive Bayesian classification (RBC) requires optimal latent variable estimation in the presence of noisy observation to achieve real-time sequential decision making. Active RBC introduced in this dissertation attempts to […]
PhD Proposal Review: A Systems Approach to Spectrum Sharing and Multi-antenna Operation for Emerging Networks Carlos Bocanegra Location: TBD Abstract: The demands on wireless connectivity and sensing are ever-increasing, fueled by both emerging applications and an exponential growth in the number of connected devices. Availability of new spectrum in the sub-6GHz bands is limited, which […]