"Development of Anomaly Detection and Characterization Algorithms Using Wideband Radar Image Processing for Security Applications" Abstract: Detection and characterization of suspicious body-worn objects is necessary for safe and effective personnel screening. In airports, developing a precise system that can distinguish threats and explosives from objects like money belt can reduce the pat-down significantly while maintaining […]
"AlN/AlScN based Micro Acoustic Metamaterials for Radio Frequency Applications of the Next Generations" Abstract: In the last two decades‚ micro-acoustic resonators (μARs) have played a key role in integrated 1G-to-4G radios‚ providing the technological means to achieve compact radio frequency (RF) filters with low loss and moderate fractional bandwidths (BW<4%). More specifically‚ Aluminum Nitride (AlN) […]
Professor Ravinder Dahiya will be joining Northeastern’s ECE Department on January 2023. Please join us for an interactive mini-symposium featuring projects from the BEST Lab directed by Professor Dahiya. The presenters are: Dr. Dhayalan Shakthivel, Research Associate, Inorganic Nanowires for Flexible and Large Area Electronics Dr. Gaurav Khandelwal, Post-doc, Functional Materials based Triboelectric Nanogenerators for Selfpowered Sensors and […]
"Towards accurate and efficient edge computing via multi-task learning " Abstract: AI-powered applications increasingly adopt Deep Neural Networks (DNNs) for solving many prediction tasks, leading to more than one DNNs running on resource-constrained devices. Supporting many models simultaneously on a device is challenging due to the linearly increased computation, energy, and storage costs. An effective […]
Please come to the Curry Student Center indoor quad and pit on Friday, December 2nd to see Northeastern’s First-Year Engineering Students’ inventive projects, games, and exhibits. Students will showcase original board games, interactive projects geared to teach children sustainability concepts, and prolific prototypes to help solve a wide range of problems. Each project applies the […]
Abstract: State estimation is a critical application in energy management systems. Due to the increased penetration of inverter-based resources, installed advanced infrastructure at all voltage levels, and unconventional loads like electric vehicle charging stations, a three-phase state estimator formulation is essential. The first issue is the convoluted formulation and modeling techniques that are required in […]
"Inference from Brain Imaging: Incorporating Domain Knowledge and Latent Space Modeling" Abstract: Brain imaging can probe the anatomy (structural) of our brain, or its function (functional). A particular imaging modality (unimodal) generally provides only a particular insight into human health. Transcranial magnetic stimulation (TMS), though still in its infancy as a brain imaging modality, is […]
"Towards Performance and Cost-efficiency for Data-intensive Applications in Distributed Data Processing Systems" Abstract: Data-intensive science (DIS) has experienced a significant boom in the past decade. The emerging technologies of data-intensive services and infrastructures contribute to DIS's development and raise challenges. An ecosystem has been constructed considering performance, scalability, sustainability, and reliability to provide a high-quality […]
"All-optical Control of Magnetization in Nanostructures" Committee: Prof. Yongmin Liu (Advisor) Prof. Don Heiman Prof. Nian X. Sun Abstract: The switching of magnetization by a femtosecond laser within several picoseconds has recently gained substantial attention, because it promises next-generation, energy-efficient, and high-rate data storage technology. One of the most intriguing demonstrations is the helicity-dependent switching […]
"Factorization guided Lightweight Neural Networks for Visual Analysis" Committee: Prof. Yun Fu (Advisor) Prof. Ming Shao Prof. Lili Su Abstract: Deep learning has become popular in recent years primarily due to powerful computing devices such as GPUs. However, many applications such as face alignment, image classification, and gesture recognition need to be deployed to multimedia […]