SUNMONTUEWEDTHUFRISAT
Events for the 4th week of October
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Professional Enhancement Seminar
Tue, Oct 20, 2020 @ 04:00 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jangwon Kim, Amazon
Talk Title: What do you mean by open minded and well prepared for a new opportunity?
Abstract: Jangwon is passionate about enabling natural and complex human-machine interactions. He is also interested in solving problems in the 'broken' healthcare system today. In this talk, he will share his personal experiences focusing on how he pursued his passion and followed interests while under real-life constraints, as well as lessons he gained from his experiences. This talk is not about fast promotion and career growth, but taking new opportunities aligned with one's passion and interests, failing fast, and learning in new environments, like a kid playing in a jungle gym.
Dr. Kim believes that being open-minded and well prepared helped him grab new and rare opportunities. He will share what they mean to him and how they helped him over the past 10 years.
Biography: Jangwon is a research/applied scientist in multimodal signal processing, speech processing and language processing. His interests include robust Automatic Speech Recognition (ASR), affective computing, human-computer interface, computational paralinguistics, healthcare, security, and defense. He finished his PhD at USC in 2015 and worked as a speech scientist at Cobalt Speech and Language for a year. From 2017 to March 2019, he worked as VP of Research at Canary Speech, where he developed machine learning and speech processing technology for healthcare applications. He is now an applied scientist at Amazon, working on ASR, NLP and NLU for Alexa and Amazon Care.
Host: Mihailo Jovanovic
Webcast: https://usc.zoom.us/j/97425557004?pwd=T29UWER0emdmRllVMVFiT3pRNlk5QT09WebCast Link: https://usc.zoom.us/j/97425557004?pwd=T29UWER0emdmRllVMVFiT3pRNlk5QT09
Audiences: Everyone Is Invited
Contact: Benjamin Paul
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Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Wed, Oct 21, 2020 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jorge Ortiz, Electrical & Computer Engineering, Rutgers University
Talk Title: Human-Centered Intelligent Sensing Systems
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: This talk is about the design of systems and algorithms for sensing systems that interact directly with humans. I will discuss our work in the Cyber Physical Intelligence lab (CyPhy-Lab) at Rutgers University where we study sensing systems that learn about human behavior, from human feedback, and with humans to improve system objectives and enhance people's lives. I will describe three on-going projects that explore these themes more precisely. First I will describe PillSense, a smart pillbox system for medication adherence. This system helps us learn about how humans take their medication and how physical design is tightly coupled to the system's ability to identify users effectively. We describe two pill box designs and associated algorithms to address the challenges posed. Then, I will discuss our on-going project Maestro, a system that learns from humans to fill the semantic gap between sensor measurements and their interpretation, in order to facilitate the construction of smart ambient-sensing applications in buildings. Finally, I will discuss project Paz, a system that attempts to learn when to interact with humans as we work to facilitate agent-human collaboration to both attain system objectives (i.e. efficiency) and enhance human productivity, comfort, and entertainment.
Biography: Jorge Ortiz is an Assistant Professor at Rutgers University where he directs the Cyber-Physical Intelligence Lab (CyPhy-Lab) and is where he is also a member of the Wireless Information Network Laboratory (WINLAB). His work focuses on building and studying sensing systems that learn about human behavior, from human feedback, and with humans to improve system objectives and enhance people's lives. These include a broad range of sensing systems including smart objects, smart built environments, and smart cities, more broadly. Prior to joining Rutgers in 2018, he was a Research Staff Member at IBM Research working on machine learning and the internet of things. In the five years he was at IBM, he attained 12 patents and published in multiple top academic conferences, journals, and books and was awarded 'Best Poster' at IEEE/ACM IPSN '08, two 'Best Paper Runner-ups' at Buildsys '15, 'Best Paper' at ICISSP '18, and 'Best Paper Runner-up' at IoTDI '19. At IBM he led teams to commercialize two major research projects and bring them to market. Dr. Ortiz also has extensive industry experience, which includes several years at Oracle Corporation and has worked at and led multiple startups. He is currently serving as co-TPC chair for Buildsys 2020. Dr. Ortiz attained his Ph.D. in Computer Science from UC Berkeley in 2013, M.S. in Computer Science from Berkeley in 2010, and a BS in Computer Science from MIT in 2003.
Host: Pierluigi Nuzzo, nuzzo@usc.edu
Webcast: https://usc.zoom.us/webinar/register/WN_YSl0DRVOQJetWGNAACPOYQLocation: Online
WebCast Link: https://usc.zoom.us/webinar/register/WN_YSl0DRVOQJetWGNAACPOYQ
Audiences: Everyone Is Invited
Contact: Talyia White