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Luis Ortiz

Artificial Intelligence (AI) Machine Learning Reinforcement Learning Consulting In AI Principles
University of Michigan (Dearborn) Computer and Information Science

About

I am an Associate Professor at the Department of Computer and Information Science at the University of Michigan - Dearborn, a position I have held since September 2018. I was an Assistant Professor from September 2015 until August 2018. From August 2008 through August 2015, I was an Assistant Professor at the Computer Science Department at Stony Brook University (SBU). From January 2007 through June 2008, I was an Assistant Professor at the Department of Electrical and Computer Engineering at the University of Puerto Rico, Mayaguez (UPRM). From September 2004 through December 2006, I held a Postdoctoral Lecturer faculty position at the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT). From January 2002 through August 2004, I was a Postdoctoral Researcher at the Department of Computer and Information Science of the School of Engineering and Applied Science at the University of Pennsylvania, working with Professor Michael Kearns. From October to December 2001, I was a consultant in the area of artificial intelligence and machine learning at AT&T Labs-Research's Artificial Intelligence Principles Group at Shannon Labs in Florham Park, NJ. I completed my Ph.D. (2002) and Sc.M. (1998) from the Department of Computer Science at Brown University. My adviser was Leslie Kaelbling, now at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). I obtained a B.S. degree in Computer Science from the Institute of Technology (IT) at the University of Minnesota, Twin Cities. My undergraduate adviser was Maria Gini.

Research Performance Summary

61
Total Papers
3323
Total Citations
24
H-Index
1999-2024
Active Research Span

First Recorded Paper

Notes on methods based on maximum-likelihood estimation for learning the parameters of the mixture of Gaussians model

Year: 1999

Citations: 8

Venue: Brown University

Latest Recorded Paper

A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry

Year: 2024

Citations: 0

Venue: arXiv preprint arXiv:2411.14593

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2024
2
2021
1
2020
2
2019
2
2018
2
2017
2
2016
1
2015
6
2014
7
2013
3
2012
4

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 15
Journal 5
Book 2

Top Coauthors

Ortiz Kearns Chan

Research Impact by Period

2020-2024

Period Stats
Papers 5
Citations 29
Avg. Citations / Paper 5.8
H-Index 2

2015-2019

Period Stats
Papers 13
Citations 192
Avg. Citations / Paper 14.8
H-Index 8

2010-2014

Period Stats
Papers 19
Citations 2065
Avg. Citations / Paper 108.7
H-Index 11

2005-2009

Period Stats
Papers 7
Citations 91
Avg. Citations / Paper 13
H-Index 3

2000-2004

Period Stats
Papers 16
Citations 938
Avg. Citations / Paper 58.6
H-Index 10

1995-1999

Period Stats
Papers 1
Citations 8
Avg. Citations / Paper 8
H-Index 1

Contact and Professional Links

Contact Information

leortiz@umich.edu
3135935239

Detected Research Keywords

Interdependent Defense Games Interdependent Security Games Game Theoretic Approach Defense Games Modeling Games Modeling Interdependent Modeling Interdependent Security Interdependent Security Deliberate Security Deliberate Attacks Algorithms Interdependent Security Concentration Inequalities Missing