PhD Dissertation Defense Shivang Aggarwal
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 […]
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 […]
The IWC will be hosting our first annual Hackathon! This event will take place on November 19th from 8am-10pm in the Curry Student Center. It is open to women and […]
Monday, November 21st at 12pm (VIRTUAL) Please Register: https://bit.ly/3MxqA0u All attendees receive a FREE BOOK! Abstract: Biomedical Engineering majors have been shown to exhibit higher rates of transfer to different […]
If you are interested in joining the Dialogue of Civilization program in Turkey (summer 1 2023), you can attend the Info Session which takes place on Mon 21st, from 2:00 […]
"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 […]
"Transfer Learning across Domains, Tasks and Models" Abstract: The big data stands as a cornerstone of deep learning, which has significantly improved a wide range of machine learning and computer […]
"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 […]