PhD Dissertation Defense: Can We Trust AI? Towards Practical Implementation and Theoretical Analysis in Trustworthy Machine Learning Kaidi Xu Location: Zoom Link Abstract: Deep learning has achieved extraordinary performance in many application domains recently. It has been well accepted that DNNs are vulnerable to adversarial attacks, which raises concerns of DNNs in security-critical applications and […]
PhD Dissertation Defense: Active Resource Partitioning and Planning for Storage Systems using Time Series Forecasting and Machine Learning Techniques Maher Kachmar Location: Zoom 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 leading […]
PhD Dissertation Defense: An Analysis of Algorithms with Discrete Choice Models Berkan Kadioglu Location: Zoom Link Abstract: In the first half of our work, we consider a rank regression setting, in which a dataset of $N$ samples with features in $\mathbb{R}^d$ is ranked by an oracle via $M$ pairwise comparisons. Specifically, there exists a latent […]
College of Engineering PhD students are invited to join us for a writing retreat July 20 – 22. The aim of this retreat is to create sustained writing time for researchers to work in a calm, supportive environment on a longer project. Studies have shown that an academic writing retreat supports productivity and progress while […]
PhD Dissertation Defense: Low-Power Integrated Circuit Design for Wireless Devices in the Internet of Things Mahmoud Ibrahim Location: Zoom Abstract: Numerous integrated sensing devices are under development for wireless medical diagnostic and monitoring applications. However, the data rates of wireless devices connected to the Internet of Things are limited and strongly depend on the available […]
PhD Proposal Review: Circular-Symmetric Correlation Layer based on FFT Bahare Azari Location: Zoom Link Abstract: Planar convolutional neural networks, widely known as CNNs, have been exceptionally successful in many computer vision and machine learning tasks, such as object detection, tracking, and classification. The convolutional layers in CNN are characterized by pattern-matching filters that can identify […]
Do you have a fully drafted journal article ready to share with other researchers that you want to share before the traditional peer review process is done? Preprinting is one way to disseminate your research almost immediately. Join the Northeastern COE Communication Lab for a workshop discussing the importance of preprints and open science. We […]
PhD Proposal Review: High Sensing-capacity Multi-dimensional-coded Millimeter-wave MIMO Imaging System Weite Zhang Location: Microsoft Teams Link Abstract: Millimeter-wave (mm-wave) MIMO imaging systems have been explored to use more and more complicated radar waveforms to achieve advanced multiplexing and high-performance imaging. As the complexity of the radar waveform increases, conventional systems inevitably suffer from higher design […]
PhD Dissertation Defense: Deep Convolutional Neural Network for Image Restoration and Synthesis Yulun Zhang Location: Zoom Link Abstract: Image restoration and synthesis with deep learning play a fundamental role in the computer vision community. They are widely used on mobile devices (e.g., smartphones) or lead to billion-dollar startups. However, how to design efficient deep convolutional […]
MONDAY, AUGUST 2, 2021 2:00 – 4:00pm Venue: Boston Campus, details to follow soon Sign up via this FORM. NU College of Engineering and the Department of Theatre (CAMD) are excited to host in-person creative expression workshops that help foster confidence building, reflexivity, collaboration and more. Theatre-based improvisation provides a playful environment in which to […]