"Robust Data-Driven Control" Abstract: During the last two decades, data-driven control (DDC) has attracted growing attention in the control community. Unlike model-based control (MBC), which first uses the collected data […]
"RF Front-End Components based on Linear-Time-Variant Modulation of Piezoelectric MEMS Resonators" Abstract: Throughout the last decade, radio frequency (RF) components for over-the-air communication and sensing have been subject to sustained […]
"Theory and design of spatiotemporally-modulated metasurfaces for comprehensive control of light" Abstract: Photonic metasurfaces are key platforms for manipulating almost all properties of light such as amplitude, phase, polarization, wave […]
Location: ISEC 332 "Towards Reliable, High Capacity mmWave Wireless LANs for Mobile Devices" Abstract: The IEEE 802.11ad standard, with its 14 GHz of unlicensed spectrum around 60 GHz, is touted as […]
"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 […]
"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 […]
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 […]
"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 […]
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 […]
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 […]