"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. Although their current functionality is highly restricted to specific tasks and environments, their practicality encourages robotics engineers for further advancement. Especially, mobile robots with manipulation […]
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, binary neural networks are treated as hardware-friendly deep learning algorithms due to the fact that it can achieve similar inference accuracy with fewer computing resources […]
Location: ISEC 332 "AI for communications and sensing in RF environments" Abstract: The recent growth of Internet of Things (IoT), as well as other new revolutionary applications utilizing wireless spectrum are leading the way towards realization of next generation wireless systems that jointly utilize communications and sensing. However, such systems offer many degrees of freedom, and […]
"Human Body and Activity Analysis" Abstract: Human-related applications such as person detection, human pose estimations and human activity recognition, that always draw a lot of attentions in computer vision community. In this proposal, we discuss several related topics that we are interested in, and demonstrate how we improve the existing methods. The first problem we […]
"Partitioning Data Across Multiple, Network Connected FPGAs with High Bandwidth Memory to Accelerate Non-streaming Applications" Abstract: Field Programmable Gate Arrays (FPGAs) are increasingly used in cloud computing to increase the run time of various applications. Flexibility, efficiency and lower power enable FPGAs to be important components in modern data centers. Applications such as Secure Function Evaluation […]
"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 to identify the system, then designs the controller according to the certainty equivalence principle, DDC skips the system identification (SYSID) step and leads to a […]
"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 market pressure to adapt to the novel trends such as spectrum sharing, programmability, and low-power operation. When these features are required in chip-scale RF hardware, […]
"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 […]
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 […]