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 […]

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 […]

"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 […]

"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 […]

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.    

Title: Software-Defined Underwater Acoustic Networks Committee Members: Prof. Tommaso Melodia (Advisor) Prof. Stefano Basagni Prof. Kaushik Chowdhury Dr. Emrecan Demirors Abstract: The exploration, monitoring, and understanding of oceans play a crucial role in addressing climate change, overseeing underwater pipelines, and preventing maritime warfare attacks. To achieve these significant objectives, it is vital to utilize networks […]

Title: Effective and Efficient Continual Learning Committee Members: Prof. Jennifer Dy (Advisor) Prof. Stratis Ioannidis Prof. Yanzhi Wang Abstract: Continual Learning (CL) aims to develop models that mimic the human ability to learn continually without forgetting knowledge acquired earlier. While traditional machine learning methods focus on learning with a certain dataset (task), CL methods adapt […]

COE graduate students are invited to join the CommLab’s interactive LinkedIn workshop where we’ll be optimizing your profile and learning how to effectively connect with people on the platform to build a strong professional network.  This workshop meets every other Monday on Zoom or in 306 Egan.  Drop-in’s welcome!

Looking to create a standout CV or resume that showcases your skills and experience in a professional way? COE graduate students are invited to join the CommLab’s LaTeX workshop! Our workshop provides support in CV/resume building using LaTeX, and will give you a better and clearer understanding of different aspects of the LaTeX code. You’ll […]