Justin Li


Curriculum Vitae

Swan Hall #B102
Occidental College
1600 Campus Road
Los Angeles, CA 90041

(734) 619 0710
justinnhli@oxy.edu
http://justinnhli.com/
@justinnhli

Research Interest

My research is broadly on the strategies that people and artificial agents might use in their search for knowledge during problem solving, from indicators that more knowledge is needed, to strategies for acquiring that knowledge, to the mechanisms, algorithms, and representations of knowledge for efficient retrieval.

Experience

Assistant Professor, Occidental College, Los Angeles, CA. 2015 – present
Graduate Student Research Assistant, University of Michigan, Ann Arbor, MI. 2009 – 2015
Engineering Teaching Consultant, University of Michigan 2012 – 2014
Teaching Assistant, Center for Talented Youth, Baltimore, MD. 2008 – 2009
Teaching Assistant, Northwestern University, Evanston, IL. Spring 2009
Gateway Science Workshop Facilitator, Northwestern University, Evanston, IL. 2006 – 2009

Education

PhD in Computer Science. University of Michigan, Ann Arbor, MI. 2016
BS in Computer Science, cum laude. Northwestern University, Evanston, IL.
with a Certificate in Engineering Design
2009

Publications

Undergraduate co-authors are marked with an asterisk (*).

Justin Li. Weaving Diversity and Inclusion into CS Content. In Proceedings of the 48th ACM Technical Symposium on Computer Science Education (SIGCSE). Seattle, WA. 2017
Justin Li and Emma Kohanyi*. Towards Modeling False Memory with Computational Knowledge Bases. Topics in Cognitive Science (TopiCS), 9(1), 102-116. 2017
Justin Li and Emma Kohanyi*. Towards Modeling False Memory with Computational Knowledge Bases. In Proceedings of the 14th International Conference on Cognitive Modeling (ICCM). State College, PA. 2016
Justin Li, Steven Jones, Shiwali Mohan, and Nate Derbinsky. Architectural Mechanisms for Mitigating Uncertainty during Long-Term Declarative Knowledge Access. In Proceedings of the 4th Annual Conference on Advances in Cognitive Systems (ACS). Evanston, IL. 2016
Justin Li and John E. Laird. Spontaneous Retrieval for Prospective Memory: Effects of Encoding Specificity and Retention Interval. In Proceedings of the 13th International Conference on Cognitive Modeling (ICCM), 142-147. Groningen, The Netherlands. 2015
Justin Li and John E. Laird. Spontaneous Retrieval from Long-Term Memory in a Cognitive Architecture. In Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 544-550. Austin, TX. 2015
Justin Li and John E. Laird. The Computational Problem of Prospective Memory Retrieval. In Proceedings of the 12th International Conference on Cognitive Modeling (ICCM), 155-160. Ottawa, Canada. 2013
Justin Li and John E. Laird. Preemptive Strategies for Overcoming the Forgetting of Goals. In Proceedings of the 27th AAAI Conference on Artificial Intelligence (AAAI), 1234-1240. Bellevue, WA. 2013
Nate Derbinsky, Justin Li, and John E. Laird. Algorithms for Scaling in a General Episodic Memory (Extended Abstract). In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 1387-1388. Valencia, Spain. 2012
Nate Derbinsky, Justin Li, and John E. Laird. A Multi-Domain Evaluation of Scaling in a General Episodic Memory. In Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI), 193-199. Toronto, Canada. 2012
Justin Li, Nate Derbinsky, and John E. Laird. Functional Interactions between Memory and Recognition Judgments. In Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI), 228-234. Toronto, Canada. 2012
Justin Li and John E. Laird. Preliminary Evaluation of Long-term Memories for Fulfilling Delayed Intentions. In Papers from the 2011 AAAI Fall Symposium Series: Advances in Cognitive Systems (ACS), 170-177. Arlington, VA. 2011

Teaching

Introduction to Cognitive Science (@ Oxy) Fall 2015 – present
Computer Science through Media (@ Oxy) Spring 2016 – present
Topics in Artificial Intelligence (@ Oxy) Fall 2015
Elementary Programming Concepts (@ Michigan) Winter 2015
Introduction to Artificial Intelligence (@ Michigan) Winter 2014
Agent Based Modeling (@ Michigan) Winter 2012
Programming and Introductory Data Structures (@ Michigan) 2009 – 2010
Introduction to Robotics (@ CTY) 2008 – 2009
Compiler Construction (@ Northwestern) Spring 2009
Engineering Analysis (@ GSW) 2006 – 2009

Mentoring

Emma Kohanyi: Towards a Computational Model of False Memory Acquisition Through the Deese, Roediger, McDermott Task (1995) 2015-2016
Saleem Karamali: Automatic Extraction of English Loanwords from Urdu Text 2015-2016
Arthur Wandzel: Solving the Tower of Hanoi Puzzle in Soar via an Activation-Based Model of Memory 2014

Service

Computer Science Advisory Committee 2015 – present
GSI/IA Practice Teaching Facilitator 2012 – 2014
CSEG Secretary, University of Michigan 2012 – 2013

Presentations

Scratch and AppInventor for Middle/High Schools, for the OxyMS Teaching Scholars Summer Institute Summer 2016
Teaching Problem Solving Skills, with Elizabeth Stewart for the Center for Research on Learning and Teaching Fall 2014
Seven (Simple) Strategies to Improve your Teaching, with Bryce Wiedenbeck for the Center for Research on Learning and Teaching Winter 2013
Handling Office Hours, with Karishma Collette for the Center for Research on Learning and Teaching Winter 2013

Awards

Outstanding Graduate Student Instructor Award, EECS Department, University of Michigan Fall 2009

Software

Justin Li and Uri Wilensky (2009). NetLogo Sugarscape 1 Immediate Growback model. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL. 2009
Justin Li and Uri Wilensky (2009). NetLogo Sugarscape 2 Constant Growback model. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL. 2009
Justin Li and Uri Wilensky (2009). NetLogo Sugarscape 3 Wealth Distribution model. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL. 2009

Design

Engineering Design Portfolio Spring 2009