ICON Seminar in Learning: Prof. Murat Kocaoglu (Purdue ECE)

Event Date: October 14, 2022
Speaker: Prof. Murat Kocaoglu
Speaker Affiliation: Purdue University
Time: 2-2:30 pm
Location: HAMP 1252 (in-person)
Zoom: https://purdue-edu.zoom.us/j/99326083199?pwd=TjhqaE1TYkZ2RG1RMkt6S1JZbGk1UT09
Contact Name: Yu She
Contact Email: yushe@purdue.edu
Priority: No
School or Program: College of Engineering
College Calendar: Show
Title: Causal Discovery for Root Cause Analysis

Location: HAMP 1252 (in-person) and Zoom (online) https://purdue-edu.zoom.us/j/99326083199?pwd=TjhqaE1TYkZ2RG1RMkt6S1JZbGk1UT09

Agenda: 2:00pm-3:15pm (Seminar + Q&A); 3:15pm-4:00pm (Networking). Snacks and coffee will be provided.

Causal Discovery for Root Cause Analysis

Abstract

Cause-effect relations are crucial for several fields, from medicine to policy design as they inform us of the outcomes of our actions a priori. However, causal knowledge is hard to curate for complex systems that might be changing frequently. Causal discovery algorithms allow us to extract causal knowledge from the available data. In this talk, first, we provide a short introduction to algorithmic causal discovery. Next, we propose a novel causal discovery algorithm from a collection of observational and interventional datasets in the presence of unobserved confounders, with unknown intervention targets. Finally, we demonstrate the effectiveness of our algorithm for root-cause analysis in microservice architectures. 

Bio

Dr. Murat Kocaoglu received my B.S. degree in Electrical - Electronics Engineering with a minor degree in Physics from the Middle East Technical University in 2010, and M.S. degree from the Koc University, Turkey in 2012 under the supervision of Prof. Ozgur B. Akan and Ph.D. degree from The University of Texas at Austin in 2018 under the supervision of Prof. Alex Dimakis and Prof. Sriram Vishwanath. I was a Research Staff Member in the MIT-IBM Watson AI Lab in IBM Research, Cambridge, Massachusetts from 2018 to 2020. Since 2021, I am an assistant professor in the School of ECE at Purdue University. My current research interests include causal inference and discovery, machine learning, generative models, and information theory.

Seminar Photoes

(96 attendants in total with 70 in-person and 26 online via zoom)

 

 

Seminar Recording:

https://youtu.be/c15mQnVpork

 

2022-10-14 14:00:00 2022-10-14 14:30:00 America/Indiana/Indianapolis ICON Seminar in Learning: Prof. Murat Kocaoglu (Purdue ECE) Title: Causal Discovery for Root Cause Analysis HAMP 1252 (in-person) Zoom: https://purdue-edu.zoom.us/j/99326083199?pwd=TjhqaE1TYkZ2RG1RMkt6S1JZbGk1UT09