In this talk, using CO2 reduction to gas and liquid products and O2 reduction to hydrogen peroxide as representative reactions, I will introduce the rational design of both catalytic materials and reactors towards practical electrochemical manufacturing of fuels and chemicals.
Title: Making Deep Neural Network Transparent Date: 11/29/2023 Time: 3:00:00 pm Committee Members: Prof. Jennifer Dy (Advisor) Prof. Mario Sznaier Prof. Eduardo Sontag Prof. Peter Castaldi Abstract: As machine learning algorithms are deployed ubiquitously to a variety of domains, it is imperative to make these often black-box models transparent. The ability to interpret and comprehend […]
Title: Making Deep Neural Network Transparent Date: 11/29/2023 Time: 4:30:00 PM Committee Members:- Prof. Jennifer Dy Prof. Eduardo Sontag Prof. Mario Sznaier Prof. Peter Castaldi Abstract: As machine learning algorithms are deployed ubiquitously to a variety of domains, it is imperative to make these often black-box models transparent. The ability to interpret and comprehend the […]
Learn how you can earn a Graduate Certificate in Engineering Leadership as a stand-alone certificate or in combination with one of twenty-three Master of Science degrees offered through Northeastern’s College of Engineering, College of Science, or Khoury College of Computer Sciences. The National Academy of Engineering recognized The Gordon Institute of Engineering Leadership (GIEL) for […]
Join us for First-Year Engineering's Fall Expos on Friday, December 1, from 9:00 AM - 12:00 PM and Monday, December 4, from 11:00 AM - 3:00 PM in the Curry Student Center Pit and Quad. Cornerstone of Engineering students will be showcasing their Fall projects. Themes include sumo robots, sustainability, carnival games, animals and the […]
Title: Hardware Security Vulnerabilities in Deep Neural Networks and Mitigations Date: 12/4/2023 Time: 10:30:00 AM Committee Members: Prof. Yunsi Fei (Advisor) Prof. Aidong Ding Prof. Xue Lin Prof. Xiaolin Xu Abstract: In the past decade, Deep Neural Networks (DNNs) have become pivotal in numerous fields, including security-sensitive autonomous driving and privacy-critical medical diagnosis. This Ph.D. […]
In this talk, I will trace my group's history in using molecular dynamics simulations to investigate conceptual links among molecular architectures, intermolecular interactions, and network structures and how they determine thermomechanical properties of polymerized materials that these applications demand.
Students will present their final design projects at the Enabling Engineering Fall Showcase. The projects that will be presented are listed below. Accessible Golfing Caution Radar Accessible Plant Watering System Switch Activated Cornhole VR App Switch Activated Toys Adaptive Drum Set Prosthetic Finger Enabling Engineering is a Northeastern University student group that designs and builds […]
Title: COPILOT: Cooperative Perception using Lidar for Handoffs between Road Side Units Committee Members: Prof. Kaushik Chowdhury (Advisor) Prof. Stratis Ioannidis Prof. Jennifer Dy Abstract: This thesis presents COPILOT, a ML-based approach that allows vehicles requiring ubiquitous high bandwidth connectivity to identify the most suitable road side units (RSUs) through proactive handoffs. By cooperatively exchanging […]
Think graduate school is just for future faculty? Think again! Join us as we demystify what it takes to be and become a graduate student (MS and PhD), as well as the many career avenues that you can take with a graduate school degree. Come learn about the following topics from some of the top […]