Michele Pirro’s PhD Dissertation Defense
"AlScN material characterization for MEMS applications" Abstract: The increasing demand for data is pushing the MEMS industry to more performant and area-efficient systems to be used in IOT nodes as […]
"AlScN material characterization for MEMS applications" Abstract: The increasing demand for data is pushing the MEMS industry to more performant and area-efficient systems to be used in IOT nodes as […]
Location: ISEC 532 "Physical Layer Design for Ultrabroadband Terahertz Communications: From Theory to Experiments" Abstract: Terahertz (THz)-band (0.1 THz to 10 THz) communication is envisioned as a key technology to meet […]
"Exploring Micro-Machined Glass Shell Resonators For Sensor Application" Abstract: This work presents the exploration of the chip-scale glass blowing technique for novel sensing methods. On-chip microspherical glass shells (MSG) of […]
Not sure what to major in? Considering switching majors? Hear upperclassmen across all engineering disciplines share about their experiences! Join via Microsoft Teams using your NU email Email Liza Russell […]
"Aluminum Nitride and Scandium-doped Aluminum Nitride materials and devices for beyond 6 GHz communication" Abstract: With almost all of the sub-¬6 GHz spectrum now being allocated, current bandwidth shortage has motivated the […]
"ADVANCEMENTS ON ZERO STANDBY POWER MEMS SENSORS" Abstract: Due to the fast development of the internet of things, and unattended wireless sensor networks, the number of connected devices worldwide is […]
Join this webinar to learn more about Electrical & Computer Engineering Graduate Programs
"Improving Computational Efficiency of Motion Planning Algorithms for Mobile and Time-Dependent Robotic Tasks in Dynamic Environments" Abstract: Robots will become a part of our lives at home as personal assistants. […]
Learn about the PlusOne Accelerated Master's Degree Program A master’s degree can provide you with an additional level of expertise in an area aligned with your career goals. As a […]
Committee: Prof. Yong-Bin Kim. Advisor Prof. Marvin Onabajo Prof. Lombardi Fabrizio Abstract: In order to match the needs of powerful neural networks and meet the hard constraints from hardware, […]