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

[Vassilis Tsotras]

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.

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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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