[UCR_DataScience] Prof. Fei Fang (CMU) giving talk "Challenges in Machine Learning and Game Theory for Social Impact" @ MRB Lecture room on Tuesday 6/14 at 11am

[Vassilis Tsotras]

Below is information about a very interesting Data Science talk 
happening this Tuesday at 11am at the MRB seminar room.

V. Tsotras



-------- Forwarded Message --------
Subject: 	Prof. Fei Fang (CMU) giving talk "Challenges in Machine 
Learning and Game Theory for Social Impact" @ MRB Lecture room on 
Tuesday 6/14 at 11am
Date: 	Sun, 12 Jun 2022 16:15:01 -0700
From: 	Vagelis Papalexakis <epapalex at cs.ucr.edu>
To: 	coeprofs at engr.ucr.edu, CS - Faculty <csfaculty at cs.ucr.edu>, 
csgrads at cs.ucr.edu



Hi everyone,

Prof. Fei Fang from CMU (https://feifang.info/ <https://feifang.info/>) 
will be visiting on Tuesday 6/14 and will be giving a talk at *11am @ 
MRB 1st floor lecture room*
We will also try also broadcast the talk via Zoom - please send me an 
email individually for the Zoom link.

You can find more information about the talk below. Please feel free to 
forward to folks who may be interested in attending,


*Title*: Challenges in Machine Learning and Game Theory for Social Impact

*Abstract*: Many real-world challenges we face involve multiple 
self-interested decision-makers who interact with each other in an 
environment full of uncertainty. This talk covers our work on machine 
learning and game theory that can be used to tackle such challenges in 
security, environmental sustainability, and food security domains. One 
of our early works has been deployed by the US Coast Guard for 
protecting the Staten Island Ferry in New York City since April 2013. 
Another work has led to the deployment of PAWS (Protection Assistant for 
Wildlife Security) in multiple conservation areas around the world, 
which provides predictive and prescriptive analysis for anti-poaching 
efforts. In addition, our recent work has been used by 412 Food Rescue, 
a non-profit volunteer-based food rescue platform to improve their 
operational efficiency. The talk will also cover some of our attempts in 
addressing the fundamental challenges at the intersection of machine 
learning and game theory.


Vagelis Papalexakis
Associate Professor
Computer Science & Engineering
University of California Riverside
http://www.cs.ucr.edu/~epapalex <http://www.cs.ucr.edu/~epapalex>

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