[AI Seminar Series] REMINDER -- Seminar by Prof. Arun Kumar, UCSD, tomorrow Friday April 25, 11am, Student Success Center (SSC) 329

[Vassilis Tsotras]

A reminder for the AI-seminar happening tomorrow at 11am in SSC 329.

best,

V. Tsotras


On 4/20/25 3:29 PM, Vassilis Tsotras wrote:
> Colleagues,
> the next AI Seminar will be on Friday April 25, at 11am in Student 
> Success Center (SSC) 329.
>
> **Please note the time (11am) and location (SSC329) change**
>
> This seminar is in collaboration with the Department of Computer 
> Science and Engineering.
>
> The talk will be given by Prof. Arun Kumar, Department of Computer 
> Science and Engineering and the Halicioglu Data Science Institute, UCSD
>
>
> TITLE:
> "Reimagining AI Systems Through the Lens of DB Systems"
>
>
> ABSTRACT:
> The recent boom in ML/AI applications has brought into sharp focus the 
> pressing need for tackling the concerns of usability, scalability, and 
> manageability across the entire lifecycle of ML/AI applications. The 
> ML/AI world has long studied the concerns of accuracy, automation, 
> etc. from theoretical and algorithmic vantage points. But to truly 
> democratize ML/AI, the vantage point of building and deploying 
> practical systems is equally critical.
>
> In this talk, I will make the case for how the ML/AI world can learn 
> from another world that exemplifies successful democratization of data 
> technology: database systems. I will show how prudently reimagining 
> some key principles and techniques from the DB world helps tackle some 
> of the above pressing concerns in ML/AI and in turn, poses new open 
> research questions at this intersection. As case studies of such 
> bridges, I will briefly describe two lines of work from my group: 
> multi-query optimization for deep learning systems and benchmarking 
> data preparation in AutoML platforms. I will then look ahead to 
> emerging gaps that need such bridges in this era of LLMs and agentic 
> AI workflows.
>
>
>
> Bio:
>
> Arun Kumar is an Associate Professor in the Department of Computer 
> Science and Engineering and the Halicioglu Data Science Institute at 
> the University of California, San Diego. His primary research 
> interests are in data management and systems for ML/AI. His work has 
> been adopted by multiple cloud, Web, and DB systems companies, as well 
> as by RapidFire AI, an AI software startup he co-founded as CTO. He is 
> a recipient of three SIGMOD research paper awards, six distinguished 
> reviewer/metareviewer awards from SIGMOD/VLDB, early career awards 
> from NSF, IEEE TCDE, and VLDB. His first PhD graduate received the ACM 
> SIGMOD Jim Gray Doctoral Dissertation Award.
>
>
> ------------------------------------
> Sponsored by the RAISE at UCR Institute, the AI Seminar Series presents 
> speakers working on cutting edge Foundational AI or apply AI in their 
> research. The goal of these seminars is to inform the UCR community 
> about current trends in AI research and promote collaborations between 
> faculty in this emerging field.
> These seminars are open to interested faculty and graduate students. 
> Please forward this email to other colleagues or graduate students in 
> your lab that may be interested. After the seminar a discussion will 
> follow for questions, open problems, ideas for possible collaborations 
> etc.
>
> Sincerely,
> Vassilis Tsotras
> Professor, CSE Department
> co-Director, RAISE at UCR Institute
>
> Amit Roy-Chowdhury
> Professor, ECE Department
> co-Director, RAISE at UCR Institute