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 […]
Want to learn Python, but don’t know where to start? We’ll walk you through everything you need to start using Python, beginning with writing code for the very first time. In this interactive workshop, you will learn about and practice core Python skills such as writing functions, troubleshooting errors, and installing packages. We will also cover tips […]
"Robust Sparsified Deep Learning" Abstract: This dissertation studies robustness issues around DNN deployments on resource constrained systems, under both environmental and adversarial input adaptation. We propose a means of compressing a Radio Frequency deep neural network architecture through weight pruning, and provide a systems-level analysis of the implementation of such a pruned architecture at resource-constrained […]
"Model-based decision making in life sciences" Abstract: Mathematical models are key tools in rational decision-making processes. A ``good" model is expected to reproduce experimental observations, which enables predictions outside the […]
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 […]
"Ultra-Low Power and Robust Analog Computing Circuits and System Design Framework for Machine Learning Applications" Abstract: As the scaling of CMOS transistors has almost halted, performance gains of digital systems […]
Who is your audience, what do you want to say, and what do they want to hear? Many graduate students serve in roles of leadership, teaching and mentoring. This free […]
"Multiple UAVs for Synchronous - Shared Tasks and Long-term Autonomy" Abstract: This thesis focuses on the use of multiple unmanned aerial vehicles(UAVs) in a distributed framework from a systems perspective […]
"Deep Learning Acceleration on Edge Devices with Algorithm/Hardware Co-Design" Abstract: As deep learning has succeeded in a broad range of applications in recent years, there is an increasing trend towards […]
"Machine learning approaches for classification of myriad underwater acoustic events over continental-shelf scale regions with passive ocean acoustic waveguide remote sensing" Abstract: Underwater acoustic data contain a myriad of sound […]