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Events for April 25, 2025
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EiS Communications Hub - Tutoring for Engineering Ph.D. StudentsFri, Apr 25, 2025 @ 10:00 AM - 12:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Viterbi Ph.D. students are invited to drop by the Hub for instruction on their writing and speaking tasks! All tutoring is one-on-one and conducted by Viterbi faculty.
Location: Ronald Tutor Hall of Engineering (RTH) - 222A
Audiences: Viterbi Ph.D. Students
Contact: Helen Choi
Event Link: https://sites.google.com/usc.edu/eishub/home
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
AI Seminar- Texera: An Open-Source System for Cloud-Based Collaborative Data Science and AI/ML Using Workflows
Fri, Apr 25, 2025 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Chen Li,, UC Irvine
Talk Title: Texera: An Open-Source System for Cloud-Based Collaborative Data Science and AI/ML Using Workflows
Abstract: Since 2016 our team at UC Irvine has been developing the Texera open-source system (texera.io), with the goal of enabling a cloud-based platform to support collaborative data science, AI, and ML. It allows users with various backgrounds, including those with limited coding skills, domain scientists, and ML experts, to conduct AI-centric data science with a collaboration experience similar to Google Docs. After eight years of development, the system has a rich set of features, such as shared editing, shared execution, version control, commenting, debugging, user-defined functions in multiple languages (e.g., Python, R, Java), and support of state-of-the-art AI/ML techniques. Its backend parallel engine enables scalable computation on large data sets using computing clusters. It allows bioinformaticians to elastictly request resources from AWS to form a cluster to run computationally intensive jobs. It also supports community-based sharing of resources including datasets and workflows. In this talk, we will give an overview of the system, and focus on research challenges encountered in the development and our solutions. We will show use cases in both education and scientific communities.
Biography: Prof. Chen Li is a professor in the Department of Computer Science at UC Irvine. He received his Ph.D. degree in Computer Science from Stanford University, and his M.S. and B.S. in Computer Science from Tsinghua University, China. His research interests are in the fields of data management, data science, AI/ML, databases, data-intensive computing, search, and visualization. He was a co-founder and CTO of a startup to commercialize his research. He was a recipient of an NSF CAREER award, an ACM Distinguished Member, and an IEEE fellow. If speaker approves to be recorded for this seminar it will be posted on the USC/ISI YouTube page within 1-2 business days: https://www.youtube.com/user/USCISI. Subscribe here to learn more about upcoming seminars: https://www.isi.edu/events/ .
Host: Zhuoyu Shi and Pete Zamar + Maura Covaci
More Info: https://www.isi.edu/events/5507/texera-an-open-source-system-for-cloud-based-collaborative-data-science-and-ai-ml-using-workflows/
Webcast: https://usc.zoom.us/j/95166882238?pwd=id334Bxxz7ZULMFpYWuHEppmFKlfUd.1Location: Information Science Institute (ISI) - Virtual Only
WebCast Link: https://usc.zoom.us/j/95166882238?pwd=id334Bxxz7ZULMFpYWuHEppmFKlfUd.1
Audiences: Everyone Is Invited
Contact: Pete Zamar
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
CS Bekey Lecture feat. Dr. Huan Liu
Fri, Apr 25, 2025 @ 01:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Huan Liu , Regents Professor and Ira A. Fulton Professor of Computer Science and Engineering - Arizona State University
Talk Title: Ceaseless Inquiries: From AI to AI - What I Learned During My Years at USC under Dr. Bekey and What Came After
Abstract: My time at USC as a graduate student, with Dr. George Bekey as my advisor, had an indelible impact on my career. In this talk, I will illustrate how my research career was shaped by Dr. Bekey’s supervision and the ambience at USC at the time. My research journey in AI began in Robotics, and evolved into Knowledge-based Systems, Machine Learning, Data Mining, Social Computing, and Social Media Mining with posts in Australia, Singapore, and finally in the US, where I now teach at ASU. On the shoulders of giants, I learned valuable lessons on how to be an effective advisor and what the essence of research is. With the swift development of AI, we will have many more research opportunities to make novel contributions at accelerating speeds.
Please RSVP by: Monday, April 21, 2025 (5:00 p.m., PST)
This lecture satisfies requirements for CSCI 591: Research Colloquium.
This will be a hybrid lecture, Zoom details coming soon.
Biography: Dr. Huan Liu is a Regents Professor and Ira A. Fulton Professor of Computer Science and Engineering at Arizona State University. He is the recipient of the ACM SIGKDD 2022 Innovation Award for his outstanding contributions to the foundation, principles, and applications of social media mining and feature selection for data Mining. He co-authored the textbook, Social Media Mining: An Introduction, by Cambridge University Press. He is a Fellow of AAAI, AAAS, ACM, and IEEE.
Host: Thomas Lord Department of Computer Science
More Info: https://forms.gle/phi3Gh2yogf9ABtX9
Webcast: TBDLocation: Ginsburg Hall (GCS) - Auditorium (LL1)
WebCast Link: TBD
Audiences: Everyone Is Invited
Contact: Thomas Lord Department of Computer Science
Event Link: https://forms.gle/phi3Gh2yogf9ABtX9
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
