Past Events

Interested to learn more about the Graduate School of Engineering on the Boston campus? Then we welcome you to sign up for a Graduate School of Engineering campus tour! Led by one of our expert Graduate Student Ambassadors, we’ll show you key locations on campus, in addition to resources specific to Engineering, and answer your questions about Boston. Please complete the registration form linked below to select the date and time that works best for you. Tours are open to…

Where: The Omni Hotel, Providence, Rhode Island   This year's workshop is focused on Risk Assessment. Risk assessment is an overall process of identifying, analyzing, and preparing for potential risks (e.g., natural or man-made disasters), which is extremely important to ensure the continuity of organization operations and the well-being of the people involved. Risk assessment goals include (a) a better understanding of the vulnerability and the potential impact on the organization and people involved, and (b) prescribing control measures and contingency…

Northeastern University is proud to present the 2023 AEESP Research and Education Conference, organized in collaboration with a large team from universities in New England including Massachusetts Institute of Technology, Tufts University, University of Connecticut, University of Maine, University of Massachusetts-Amherst, University of New Hampshire, and University of Rhode Island.  This conference will be welcoming participants from across the country and internationally, as well as representatives from industry, for 4 days of sharing, learning, and planning. The conference activities will…

Title: Enabling Anomaly Detection in Complex Chemical Mixtures Through Multimodal Data Fusion Date: 6/26/2023 Time: 10:00:00 AM Location: SH 210, Committee Members: Prof. Mueller (Advisor) Prof. Erdogmus Prof. Ioannidis Prof. Onnis-Hayden Abstract: Recently innovations in machine learning and data processing are increasingly tied to ensuring useability and interpretability when these methods are applied within end-user domains.  One societally important example of such a domain is management and operations of water infrastructure in cities, where data collection is currently costly and…

"Unleashing the Potential of Transfer Learning for Visual Applications" Committee Members: Prof. Raymond Fu (Advisor) Prof. Sarah Ostadabbas Prof. Zhiqiang Tao Abstract: The recent flourish of deep learning in various tasks is largely accredited to the rich and accessible labeled data. Nonetheless, massive supervision remains a luxury for many real-world applications. Further, the domain shift problem has also seriously impeded large-scale deployments of deep-learning models. As a remedy, Transfer learning aims at improving the performance of target learners on target…

"Deep Generative Models for High Dimensional Spatial and Temporal Data Analysis" Committee Members: Prof. Vinay Ingle (Advisor) Dr. Dimitris Manolakis Prof. Purnima Ratilal-Makris Abstract: Data analysis and exploitation in practical applications is challenging when observations are the result of many interacting natural and man-made phenomena. We address two important problems for which traditional methods of analysis are insufficient. One problem of practical interest is the identification of particular materials from remotely sensed hyperspectral imagery. This is traditionally accomplished by comparing…

Northeastern College of Engineering will attend ASEE 2023 Annual Conference this year at the Baltimore Convention Center, MA. Join us to learn about Northeastern's graduate engineering programs from Sunday, June 25th to Wednesday, June 28th! Our booth number is 98.