"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 previous experimental settings. The accuracy of predictions depends on the assumptions used to model the system. The objective of this study is to explore possible […]
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 […]
"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 have also started to stagnate. There is a renewed interest in alternate computing techniques such as in-memory computing, hybrid computing, approximate computing, and analog computing. […]
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 workshop will give you the tools you need to be an effective leader, teacher and mentor. We will practice using these tools by role playing […]
"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 to synchronously perform shared tasks such as aerial beamforming and coordinated mapping and to enhance the reliability of performing periodic (mapping) tasks at remote locations […]
"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 deploying deep neural networks (DNNs) on edge devices such as FPGAs and mobile phones. However, there exists a significant gap between the extraordinary accuracy of […]
"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 sources. Among underwater acoustic events, marine mammal vocalization classification is one of the most challenging problems due to their transient broadband calls, high variation in […]
Need to annotate a figure or create a basic visual such as a Venn diagram? Have no time to learn a new, artsy drawing tool? We’ll share tips for using PowerPoint’s Shape tools to get the job done! This webinar will be presented by Data Analysis and Visualization Specialist, Kate Kryder. Registration is required. Please […]
This webinar is an introduction to ways of extending your research discovery using "cited by" and "highly cited" references found in Google Scholar, Web of Science, and Scholar OneSearch. Supercharge your results with forward and backward citation tools, analyze the data in your results, and learn the strengths and weaknesses of each one of these […]