"Ferroelectric Micro-machined Ultrasonic Transducers for Biomedical and Processing In-Sensor Applications" Abstract: Piezoelectric Micromachined Ultrasonic Transducers (PMUTs) are Micro Electro-Mechanical Systems (MEMS) devices that have become an established technology in applications such as range-finding, fingerprint sensing and imaging due to their capability of ultrasonic transduction in a miniaturized footprint, easily amenable to create large arrays. However, […]

"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 vector, pulse shape, and orbital angular momentum in a sub-wavelength dimension. They are capable of providing unprecedented modulation of wavefront through imparting spatial or temporal […]

"Systems Based on Ultrasonic MEMS: Commercialization and Future Directions " David Horsley  Professor, University of California, Davis Adjunct Professor, University of California, Berkeley    Abstract The increasing maturity of thin-film piezoelectric materials and the MEMS manufacturing ecosystem has enabled the rapid development of sensor systems based on piezoelectric micromachined ultrasonic transducers (PMUTs). In this talk, I will describe […]

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 one of the key technologies for building the next generation of WLANs that will enable high throughput demanding mobile applications. However, there have been serious […]

"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 […]

"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 vision tasks. Despite such a great success, data collection is time-consuming and costly, considering manual efforts and privacy restrictions. Transfer learning is a promising direction […]

"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 […]

"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 […]