Past Events

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 motifs in the signal residing on a 2D plane. However, there exists various applications in which we have signals lying on a curved manifold or…

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 difficulty and cost. In spite of the radar waveform design, existing mm-wave imaging systems are still suboptimal due to the fact that the sensing matrix…

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 discover, to understand and to maximize the ways in which we interact, communicate and collaborate with others. Above all, Improvisation helps us embrace failure as…

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 neural networks (CNNs) to extract higher-quality deep CNN features for better image restoration and synthesis is still challenging. In this dissertation talk, I will describe…

TUESDAY, AUGUST 3, 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. This workshop is designed by and for non-native speakers of English to improve our eloquence in personal and professional interactions. Participants will learn how to free the habitual tensions, holding patterns and inefficient uses…

PhD Dissertation Defense: Unsupervised Learning of Low-Dimensional Dynamical Representations from Spatiotemporal Data Amirreza Farnoosh Location: Zoom Link Abstract: Ever-improving sensing technologies offer a fast and accurate collection of large-scale spatiotemporal data, recorded from multimodal sensors of heterogeneous natures, in various application domains, ranging from medicine and biology to robotics and traffic control. In this dissertation, we propose frameworks for learning the underlying representation of these data in an unsupervised manner, tailored towards several emerging applications, namely indoor navigation and mapping,…

MS Thesis Defense: On the Application of Spline Functions to Problems in Hyperspectral Imaging Owen McElhinney Location: Zoom Link Abstract: Hyperspectral Imaging (HSI) is a rapidly growing topic in the field of remote sensing. Hyperspectral cameras trade off a reduction in the spatial resolution of modern imaging for a higher spectral resolution. This allows for the detection of surface materials using the principles of spectroscopy. This work will investigate the application of a class of functions called splines to three…