"Towards Efficient Deep Neural Network Execution with Model Compression and Platform-specific Optimization" Abstract: Deep learning or deep neural network (DNN), as one of the most powerful machine learning techniques, has become the fundamental element and core enabler of the artificial intelligence. Many incredible, bleeding-edge applications, such as community/shared virtual reality experiences and self-driving cars, will […]

Come learn about Nanosurf's DriveAFM, a tip-scanning atomic force microscope used for all areas of applications from materials to life science. An instrument demonstration will follow in the CILS Core Facility in the ISEC basement, 090 from 1:30-2:30pm. The DriveAFM overcomes drawbacks of other tip-scanning instruments and provides atomic resolution together with fast scanning, fast […]

A conversational regarding the Master's in ECE and Bioengineering program at the Roux Institute in Portland, Maine.

The Roux Institute presents: The Future of Manufacturing Featuring Jack Lesko, Director of Engineering Research

"Morphology, Magnetism, and Transport in Nanomaterials and Nanocomposites" Abstract: Magnetic thin film materials and bilayer composites enable unprecedented new applications, ranging from magnetic-based microelectromechanical systems (magnetoelectric sensors, ultracompact magnetoelectric antennas, etc.), terahertz emitters, to spin-orbit-torque driven magnetic memories. Here we focus on two subdisciplines within magnetics – magnetoelectrics and spintronics heterostructures. The first aspect of […]

"Learning and Shaping the Wireless Environment: An Integrated View of Sensing, Computing and Communication" Abstract: The explosive growth in Internet of Things (IoT) deployments and anticipated data volumes that will be generated within future autonomous devices require collecting and processing large amounts of data, generally transmitted over the wireless channel. Rigid infrastructure deployment that does […]

Join the CommLab for a virtual interactive workshop, where we will be discussing best practices for presenting your posters.   Bring your poster-even if it is just a draft- and we can help you ensure your story will reach every audience member.  We will also provide tips on how to reduce information overload for your audience, […]

"Fast Identification via Subspace Clustering and Applications to Dynamic and Geometric Scene Understanding" Abstract: More and more data is needed in order to build new machine learning and computer vision techniques. Using human operators to identify these vast datasets would be too expensive, hence the use of unsupervised learning has grown more common. Piecewise linear […]

"Interpretable Machine Learning for Affective Psychophysiology and Neuroscience" Abstract: In this thesis, we leverage existing Machine Learning (ML) models where appropriate and develop novel models to advance the understanding of affective psychophysiology and neuroscience. Additionally, considering the increased use of ML as a toolbox, we highlight underlying assumptions and limitations of basic ML methods to […]

Learn how you can earn a Graduate Certificate in Engineering Leadership as a stand-alone certificate or in combination with one of twenty 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 its […]

"Softwarized Approaches for the Open RAN of NextG Cellular Networks" Abstract: The 5th and 6th generations of cellular networks (5G and 6G), also known as NextG, will bring unprecedented flexibility to the wireless cellular ecosystem. Because of a typically closed and rigid market, the telco industry has incurred high costs and non-trivial obstacles for delivering […]

COE PhD Council presents SCIENCE ON TAP Design and Perception of Heptic Devices for Social Communication Dr. Cara Nunez Postdoctoral Research Fellow, Harvard John A. Paulson School of Engineering and Applied Sciences Faculty Fellow Assistant Professor (Incoming July 2023), Sibley School of Mechanical and Aerospace Engineering, Cornell University Join us for free ice cream and […]

Location: 532 ISEC "United Human Pose: Integrating Domain Knowledge and Machine Learning" Abstract: Deep learning (DL) approaches have been rapidly adopted across a wide range of fields because of their accuracy and flexibility, but require large labeled training data. This presents a fundamental problem for applications with limited, expensive, or private data (i.e. Small Data Domains). […]

Enhance your co-op experience with the Gordon Undergraduate Leadership Development Workshop. This engineering leadership workshop is designed for Northeastern University undergraduate engineering juniors and seniors during their second or third co-op experience. Workshop sessions are designed to be completed in parallel with co-op. The program includes a series of engineering leadership development activities focused on expanding […]

Location: 532 ISEC "Wake-up Radio-enabled Wireless Networking: Measurements and Evaluation of Data Collection Techniques in Static and Mobile Scenarios" Abstract: Multi-hop wireless networks such as Wireless Sensor Networks and in general, networks without the support of a fixed infrastructure, which enable most applications of the Internet of Things, are comprised of wirelessly communicating nodes that are […]

"Towards Robust and Secure Deep Learning Models and Beyond" Abstract: Modern science and technology witness the breakthroughs of deep learning during the past decades. Fueled by the rapid improvements of computational resources, learning algorithms, and massive amounts of data, deep neural networks (DNNs) have played a dominant role in many real world applications. Nonetheless, there […]

"Permutation Invariant Graph Learning" Abstract: Graphs are widely used in many areas such as biology, engineering, and social sciences to model sets of objects and their interactions and relationships. Tasks addressed by applying machine learning to graphs, known as graph learning, include node and graph classification, edge prediction, transfer learning, and generative modeling/distribution sampling, to […]

ADDITIVELY MANUFACTURED ELECTRONICS (AME) - THE NEXT GENERATION OF ELECTRONIC DEVICES AND CIRCUITS FROM 2D TO 3D AME Academy will be delivering a 1 day event at Northeastern University, Boston MA on July 29, 2022. Join the team of experts led by electronics industry veteran Mr. Gene Weiner, member of the IPC’s Raymond E. Pritchard Hall […]