BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Information Systems Group - ECPv6.4.0.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://isg.ics.uci.edu
X-WR-CALDESC:Events for Information Systems Group
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20260308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20261101T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260925T130000
DTEND;TZID=America/Los_Angeles:20260925T140000
DTSTAMP:20261105T004829
CREATED:20261021T191821Z
LAST-MODIFIED:20261021T191821Z
UID:2685-1790341200-1790344800@isg.ics.uci.edu
SUMMARY:ISG annual kickoff meeting
DESCRIPTION:The first ISG seminar will be this coming Friday (9/25). Rather than a “seminar”\, it will be a kickoff event where we will welcome new students\, share news\, and discuss other topics related to ISG.
URL:https://isg.ics.uci.edu/event/isg-annual-kickoff-meeting/
LOCATION:DBH 3011
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261002T130000
DTEND;TZID=America/Los_Angeles:20261002T140000
DTSTAMP:20261105T004829
CREATED:20261021T191923Z
LAST-MODIFIED:20261021T191923Z
UID:2687-1790946000-1790949600@isg.ics.uci.edu
SUMMARY:Industry Experiences with AI Agents: Internship Reflections and Group Discussion
DESCRIPTION:Friday\, October 2\, 2026\, 1:00 PM – 2:00 PM\nDonald Bren Hall 3011\, ICS\, UC Irvine\nZoom Link: https://uci.zoom.us/s/99558483214\nZoom Meeting ID: 995 5848 3214 \nLight refreshments will be provided. \nTitle: Industry Experiences with AI Agents: Internship Reflections and Group Discussion\nOrganizer: Xiaozhen Liu \nAbstract\nThis informal seminar will bring together students returning from summer internships to share their experiences using AI agents in industry. The discussion will cover the agents and models they used\, useful tools and workflows\, practical applications in coding and other engineering tasks\, and how agents were integrated into collaboration and day-to-day work. Speakers will also share lessons learned\, limitations they encountered\, and observations on how agent-based workflows are evolving in industry. The session is intended to be interactive and discussion-oriented\, with perspectives from multiple internship experiences.
URL:https://isg.ics.uci.edu/event/industry-experiences-with-ai-agents-internship-reflections-and-group-discussion/
LOCATION:DBH 3011
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261023T130000
DTEND;TZID=America/Los_Angeles:20261023T140000
DTSTAMP:20261105T004829
CREATED:20261021T192130Z
LAST-MODIFIED:20261021T192130Z
UID:2689-1792760400-1792764000@isg.ics.uci.edu
SUMMARY:Kary Zheng and Carlos Ernesto Alvarez Berumen: Translating Texera Workflows into Python
DESCRIPTION:Our presenters for this week are Kary Zheng and Carlos Ernesto Alvarez Berumen. The details of their talk are added below. \nFriday\, October 23\, 2026\, 1:00 PM – 2:00 PM\nDonald Bren Hall 3011\, ICS\, UC Irvine\nZoom Link: https://uci.zoom.us/s/99558483214\nZoom Meeting ID: 995 5848 3214 \nLight refreshments will be provided. \nTitle: Translating Texera Workflows into Python \nAbstract\nVisual workflows make it easier to build and inspect data analyses\, but collaborators often need to work with the same analysis in Python. How can we move an analysis between these environments while preserving its meaning? In this talk\, we present Texera’s approach to exporting visual workflows as standalone Python programs. Through a running example\, we introduce the needs that motivate this work and the main ideas behind our solution: translating the computation\, preserving the meaning of the data\, and checking that both representations produce consistent results. Key design challenges include translating a graph of operators into Python while preserving execution dependencies\, and reconciling differences in data types\, null values\, and timestamps between Texera and Python. We discuss how these challenges shape the system’s design and the tests used to detect differences between native and exported execution. We conclude with broader questions about portability and reproducibility across data-analysis tools. \nBio\nKary Zheng contributes to Texera’s Workflow-to-Python project. Her work includes exporting visual workflows as standalone Python programs and developing tests to compare their behavior with Texera execution. \nCarlos Ernesto Alvarez Berumen is a Ph.D. student in Computer Science at the University of California\, Irvine\, advised by Professor Chen Li. He works on Texera and collaborates on the Workflow-to-Python project.
URL:https://isg.ics.uci.edu/event/kary-zheng-and-carlos-ernesto-alvarez-berumen-translating-texera-workflows-into-python/
LOCATION:DBH 3011
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261030T123000
DTEND;TZID=America/Los_Angeles:20261030T140000
DTSTAMP:20261105T004829
CREATED:20261022T201048Z
LAST-MODIFIED:20261026T175907Z
UID:2693-1793363400-1793368800@isg.ics.uci.edu
SUMMARY:Panel: "Rethinking Computer Science Education and Research in the Age of AI"
DESCRIPTION:This week’s seminar will be a panel discussion moderated by Prof. Mehrotra.\n\nPlease note the special time: we will be starting 30 minutes early. The details for the session are added below. \nFriday\, October 30\, 2026\, 12:30 PM – 2:00 PM\nDonald Bren Hall 3011\, ICS\, UC Irvine\nZoom Link: https://uci.zoom.us/s/99558483214\nZoom Meeting ID: 995 5848 3214 \nLight refreshments will be provided. \nTitle: Rethinking Computer Science Education and Research in the Age of AI\n\nPanelists:\n– Mike Carey\, UCI\n– Chen Li\, UCI\n– Faisal Nawab\, UCI\n– Dave Otaguro\, Google Irvine\n– Nalini Venkatasubramanian\, UCI \nModerator:\n– Sharad Mehrotra\, UCI \nPanel Description:\nThe rapid advancement of large language models and AI agents raises fundamental questions about the future of computer science education\, graduate training\, and academic research. As AI systems become increasingly capable of writing software\, solving technical problems\, conducting experiments\, and even contributing to research papers\, we must reconsider not only how we educate students\, but also what we teach\, how we evaluate learning and research\, and ultimately what role universities should play.
URL:https://isg.ics.uci.edu/event/panel-rethinking-computer-science-education-and-research-in-the-age-of-ai/
LOCATION:DBH 3011
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261113T130000
DTEND;TZID=America/Los_Angeles:20261113T140000
DTSTAMP:20261105T004829
CREATED:20261022T201131Z
LAST-MODIFIED:20261022T201131Z
UID:2695-1794574800-1794578400@isg.ics.uci.edu
SUMMARY:HakiCC: LLM-Driven Multi-Agent Design and Optimization of Concurrency Control Protocols (Farzad Habibi)
DESCRIPTION:
URL:https://isg.ics.uci.edu/event/hakicc-llm-driven-multi-agent-design-and-optimization-of-concurrency-control-protocols-farzad-habibi/
LOCATION:DBH 3011
END:VEVENT
END:VCALENDAR