[AI Seminar Series] REMINDER: Seminar by Prof. Ujjwal Maulik, MONDAY June 9, 12-1pm, MRB Seminar Room

[Vassilis Tsotras]

Reminder for the last seminar of this quarter, on MONDAY at noon. Please
use the link below to register if you plan to attend.

best,
V. Tsotras
------------------

On Thu, Jun 5, 2025 at 8:25 AM Vassilis Tsotras <vtsotras at ucr.edu> wrote:

> Colleagues, we will have one more AI Seminar this quarter, on MONDAY June
> 9, 12:00-1:00pm at the MRB Seminar Room (1st floor). (As this is a late
> announcement, please register as soon as possible so we can make
> arrangements.)
>
> **** Pizza and refreshments will be provided ****
>
> To keep track of the number of attendees, please *register* at:
> https://www.eventbrite.com/e/ai-seminar-series-tickets-1399857113309
>
> The talk will be given by *Prof. Ujjwal Maulik*, Department of Computer
> Science and Engineering, Jadavpur University; visiting faculty at Stanford
> University.
>
> TITLE:
> "Machine Learning for Developing an improved healthcare system"
>
> ABSTRACT:
> In this lecture first we will discuss the current trends and challenges in
> Artificial Intelligence (AI) and Machine Learning (ML). In addition to the
> fundamentals of ML, we will demonstrate the importance of using Deep
> Learning (DL), Graph neural network (GNN) and explainable AI. While DL has
> been used very successfully for image analysis, GNN is being used
> extensively for unstructured datasets including biological datasets
> available in the form of graphs containing the interaction between genes,
> drugs, diseases etc.
>
> ML is used in healthcare with the goal for betterment in therapeutic as
> well as early diagnosis of diseases. Moreover, generally the same therapies
> are used for patients having similar diseases. However, based on the
> biological conditions of a patient, use of specific therapy is the key in
> precision medicine. In the second part of the lecture we will discuss how
> DL and GNN techniques can be used for developing improved healthcare
> systems including some startups started from our research labs . The
> explainable AI will also be discussed to address the practical challenges
> in the medical expert system.
>
> Finally, we will also discuss how Data Science and ML together are
> changing the research and development road map.
>
> Bio:
> Dr. Ujjwal Maulik is a Professor in the Dept. of Comp. Sc. and Engg.,
> Jadavpur University since 2004. He is currently a visiting faculty at
> Stanford University. Dr. Maulik has worked in many universities and
> research laboratories around the world as visiting Professor/ Scientist, is
> a recipient of the Alexander von Humboldt Fellowship during 2010, 2011 and
> 2012, and Fulbright Fellowship in 2024-2025. He is a Fellow of theThe
> Institute of Electrical and Electronics Engineers (IEEE), USA,
> International Association for Pattern Recognition (IAPR), USA, and
> Asia-Pacific Artificial Intelligence Association (AAIA), Hong Kong. He is
> also the Distinguished Member of the ACM. He is a Distinguished Speaker of
> IEEE as well as ACM. His research interests include Machine Learning,
> Pattern Analysis, Data Science, Bioinformatics, Multi-objective
> Optimization, Social Networking, IoT and Autonomous Cars.
>
> ------------------------------------
> Sponsored by the RAISE at UCR Institute, the AI Seminar Series presents
> speakers working on cutting edge Foundational AI or applying 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
>
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