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CS3 Monthly Research Exchange
September 15, 2023 @ 12:00 pm - 1:00 pm
About the Presenters:
At each CS3 Monthly Research Exchange, three faculty and student researchers in the field of smart urban planning will take the stage to share their latest findings, breakthroughs, and urban projects.
Abhishek Adhikari, M.S/Ph.D Student at Columbia University
Presentation Abstract: Beyond-5G and 6G wireless networks can sense the nearby environment in addition to performing traditional communication responsibilities via Joint Communications and Sensing (JCAS). A potential application of JCAS could be to sense vehicles crossing a street intersection and communicate to pedestrians who may be visually impaired. In this talk, we share preliminary vehicle detection results at a street intersection in NYC using a Nokia Bell Labs 28 GHz channel sounder traditionally used for propagation modeling in communication.
Stepan Mazokha, Ph.D. Student at Florida Atlantic University
Presentation Abstract: In this presentation, I will discuss the details of my recent paper entitled, “MobLoc: CSI-based Location Fingerprinting with MUSIC”. The objective of the project has been to implement and evaluate a passive WiFi localization method using Channel State Information. The latter has been designed using a fingerprinting method using a 1D MUSIC algorithm and was able to achieve meter-level localization in several indoor environments.
Jorge Ortiz, Assistant Professor at Rutgers University
Presentation Abstract: This talk focuses on human-AI interaction through multimodal learning and interaction, highlighting my lab’s past and future work on intelligent agents that utilize and integrate multimodal learning techniques to infer human intent and enable innovative forms of interaction. We explore interaction within vehicles, robots that assist disabled individuals, and investigate methods to close the learning loop through interactive learning agents. Additionally, we examine various forms of intervention in a vehicular context and assess how these techniques translate to future Streetscape interactive systems.