Cynthia Matuszek Assistant Professor, Computer Science & Engineering, University of Maryland Baltimore County

ITE Bldg. Room 325 • 1000 Hilltop Circle • Baltimore, MD 21250 cmat@umbc.edu • www.csee.umbc.edu/~cmat • iral.cs.umbc.edu

RESEARCH INTERESTS Robotics, Human-Robot Interaction, Natural Language Processing, Machine Learning, Grounded Language Acquisition, Symbolic Knowledge Representation, Human–Machine Collaboration

EDUCATION 2014: Ph.D. in Computer Science & Engineering, University of Washington Thesis: Talking to Robots: Learning to Ground Human Language in Perception & Execution Advised By: Dieter Fox, Luke Zettlemoyer

2009: M.Sc. in Computer Science & Engineering, University of Washington

1999: B.S. in Computer Science, University of Texas at Austin

EXPERIENCE 2014-present: University of Maryland, Baltimore County – Assistant Professor 2007–2014: University of Washington – Graduate Student/Research Assistant Robotics & State Estimation Lab; Language, Interaction, & Learning Group 2012 summer: Technical University Munich – Visiting Researcher 1999–2007: Cycorp, Inc. – Research Project Lead

PUBLICATIONS REFEREED PAPERS

An Analysis of Active Learning Methods for Efficient Robotic Grounded Language Acquisition. In submission. Nisha Pillai, Francis Ferraro, and Cynthia Matuszek. Submitted to the 2020 AAAI Conference on Artificial Intelligence (AAAI), New York, New York, February 2020.

Planning with Abstract Learned Models (PALM): Learning Transferable Subtasks from Hard Problems. In submission. John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, and Cynthia Matuszek. Submitted to the 2020 AAAI Conference on Artificial Intelligence (AAAI), New York, New York, February 2020.

Building Language-Agnostic Grounded Language Learning Systems. In press. Caroline Kery, Nisha Pillai, Cynthia Matuszek, Francis Ferraro. In the 28th IEEE International Conference on Robot & Human Interactive Communication (Ro-Man), New Delhi, India, October 2019.

Learning from Human-Robot Interactions in Modeled Scenes. Short paper. Mark Murnane, Max Breitmeyer, Francis Ferraro, Cynthia Matuszek, Don Engel. In ACM SIGGraph 2019, Los Angeles, California, July 2019.

Virtual Reality and Photogrammetry for Improved Reproducibility of Human-Robot Interaction Studies. Short paper. Mark Murnane, Max Breitmeyer, Cynthia Matuszek, Don Engel. In the IEEE Conference on Virtual Reality (VR), Osaka, Japan, March 2019.

Inferring Robot Morphology from Observation of Unscripted Movement. Neil R. Bell, Brian Seipp, Tim Oates, and Cynthia Matuszek. In the 2019 IEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, May 2019.

Unsupervised Selection of Negative Examples for Grounded Language Learning. Nisha Pillai and Cynthia Matuszek. In the 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018.

Semantic Knowledge and Privacy in the Physical Web. P. Das, Abhay Kashyap, Gurpreet Singh, Cynthia Matuszek, Tim Finin, A. Joshi. Workshop on Society, Privacy and the Semantic Web—Policy and Technology, co-located with 15th Int. Semantic Web Conf., CEUR Workshop Proceedings, vol. 1750, 2016.

Unequal Representation and Gender Stereotypes in Image Search Results for Occupations. M. Kay, Cynthia Matuszek, S.A. Munsen. ACM Conference on Human Factors in Computing Systems (CHI), 2015. Best Paper.

Towards Understanding Unconstrained Gesture and Language Input for Human-Robot Interactions. Cynthia Matuszek, L. Bo, L. Zettlemoyer, D. Fox. 28th National Conference on Artificial Intelligence (AAAI), 2014.

A Joint Model of Language and Perception for Grounded Attribute Learning. Cynthia Matuszek, N. FitzGerald, L. Bo, L. Zettlemoyer, D. Fox. International Conference on Machine Learning (ICML), 2012.

Learning to Parse Natural Language Commands to a Robot Control System. Cynthia Matuszek, E. Herbst, L. Zettlemoyer, D. Fox. International Symposium on Experimental Robotics (ISER), 2012.

Gambit: A Robust Chess-Playing Robotic System. Cynthia Matuszek, B. Mayton, R. Aimi, M.P. Deisenroth, L. Bo, R. Chu, M. Kung, L. LeGrand, J.R. Smith, D. Fox. IEEE International Conference on Robotics and Automation (ICRA), 2011.

Following Directions Using Statistical Machine Translation. Cynthia Matuszek, D. Fox, K. Koscher. International Conference on Human-Robot Interaction (HRI), 2010.

A Spotlight on Security and Privacy Risks with Future Household Robots: Attacks and Lessons. T. Denning, Cynthia Matuszek, K. Koscher, J.R. Smith, T. Kohno. International Conference on Ubiquitous Computing (UbiComp), 2009.

Autonomous Classification of Knowledge into an Ontology. Matthew E. Taylor, Cynthia Matuszek, Bryan Klimt, Michael Witbrock. 20th Florida AI Research Society Conference (FLAIRS), 2007.

Guiding Inference with Policy Search Reinforcement Learning. Matthew E. Taylor, Cynthia Matuszek, P.R. Smith, Michael Witbrock. 20th Florida AI Research Society Conference (FLAIRS), 2007.

Automated Population of Cyc: Extracting Information about Named-entities from the Web. P. Shah, D. Schneider, Cynthia Matuszek, R.C. Kahlert, B. Aldag, D. Baxter, J. Cabral, Michael Witbrock, J. Curtis. 19th Florida AI Research Society Conference (FLAIRS), 2006.

Converting Semantic Meta-Knowledge into Inductive Bias. J. Cabral, R.C. Kahlert, Cynthia Matuszek, Michael Witbrock, B. Summers. International Conference on Inductive Logic Programming (ILP), 2005.

Searching for Common Sense: Populating Cyc from the Web. Cynthia Matuszek, Michael Witbrock, R.C. Kahlert, J. Cabral, D. Schneider, P. Shah, D. Lenat. 20th National Conference on Artificial Intelligence (AAAI), 2005.

A Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessment. B. Shepard, Cynthia Matuszek, C.B. Fraser, W. Wechtenhiser, D. Crabbe, Z. Güngördü, J.

Jantos, T. Hughes, L. Lefkowitz, Michael Witbrock, D. Lenat, E. Larson. 17th Innovative Applications of Artificial Intelligence Conference (IAAI), 2005.

Gathering and Managing Facts for Intelligence Analysis. D. Schneider, Cynthia Matuszek, P. Shah, R.C. Kahlert, D. Baxter, J. Cabral, Michael Witbrock, D. Lenat. International Conference on Intelligence Analysis (ICIA), 2005.

LIGHTLY REFEREED PAPERS (WORKSHOP/SYMPOSIUM)

Learning to Understand Non-Categorical Physical Language for Human Robot Interactions. Luke E. Richards and Cynthia Matuszek. In the Robotics: Science and Systems (R:SS) Workshop on AI and Its Alternatives in Assistive and Collaboration (RSS:AI+ACR), Freiburg, Germany, 2019.

¿Es un plátano? Exploring the Application of a Physically Grounded Language Acquisition System to Spanish. Caroline Kery, Francis Ferraro, Cynthia Matuszek. In the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Combined Workshop on Spatial Language Understanding & Grounded Communication for Robotics (NAACL-SpLU-RoboNLP), Minneapolis, MN, June 2019.

Deep Learning for Category-Free Grounded Language Acquisition. Nisha Pillai, Cynthia Matuszek, Francis Ferraro. In the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Combined Workshop on Spatial Language Understanding & Grounded Communication for Robotics (NAACL-SpLU-RoboNLP), Minneapolis, MN, June 2019.

Optimal Semantic Distance for Negative Example Selection in Grounded Language Acquisition. Nisha Pillai, Francis Ferraro, and Cynthia Matuszek. In Robotics: Science and Systems (R:SS) Workshop on Models and Representations for Natural Human-Robot Communication, 2018.

Identifying Negative Exemplars in Grounded Language Data Sets. Nisha Pillai and Cynthia Matuszek. Robotics: Science and Systems (RSS) Workshop on Spatial-Semantic Representations in Robotics, 2017.

Discovering Morphology from Action. Neil R. Bell, Tim Oates, Cynthia Matuszek. Pos ter presentation, Robotics: Science and Systems (RSS) Workshop on Heterogeneity and Diversity for Resilience in Multi-Robot Systems, 2017.

Improving Grounded Language Acquisition Efficiency Using Interactive Labeling. Nisha Pillai and Cynthia Matuszek. Robotics: Science and Systems (RSS) Workshop on Model Learning for Human-Robot Communication, 2016.

Using Language Groundings for Context-Sensitive Text Prediction. Tim Lewis, Amy Hurst, Matthew E. Taylor, Cynthia Matuszek. Poster presentation, Robotics Empirical Methods in Natural Language Processing (EMNLP) Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods, 2016.

On the Ability to Provide Demonstrations on a UAS: Observing 90 Untrained Participants Abusing a Flying Robot. M. Scott, B. Peng, M. Chili, T. Nigam, F. Pascual, Cynthia Matuszek, Matthew E. Taylor. AAAI Fall Symposium on AI for Human-Robot Interaction (AI-HRI), 2015.

Combining World and Interaction Models for Human-Robot Collaborations. Cynthia Matuszek, A. Pronobis, L. Zettlemoyer, D. Fox (equal contributions from first authors). AAAI Workshop on Intelligent Robotic Systems, 2013.

Interactive Learning and its Role in Pervasive Robotics. Cynthia Matuszek, N. FitzGerald, E. Herbst, D. Fox, L. Zettlemoyer. IEEE International Conference on Robotics and Automation (ICRA) Workshop on The Future of HRI, 2012.

An Introduction to the Syntax and Content of Cyc. Cynthia Matuszek, J. Cabral, Michael Witbrock, J. DeOliveira. AAAI Spring Symposium on Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering, 2006.

Knowledge Begets Knowledge: Steps towards Assisted Knowledge Acquisition in Cyc. Michael Witbrock, Cynthia Matuszek, A. Brusseau, R.C. Kahlert, C.B. Fraser, D. Lenat. AAAI Spring Symposium on Knowledge Collection from Volunteer Contributors (KCVC), 2005.

JOURNAL PAPERS

Common Sense Reasoning – From Cyc to Intelligent Assistant. K. Panton, Cynthia Matuszek, D. Lenat, D. Schneider, Michael Witbrock, N. Siegel, B. Shepard. Ambient Intelligence in Everyday Life, Yang Cai and Julio Abascal (eds.) Springer, 2006.

INVITED TALKS 2019: Task-Informed Grasping (TIG-II): From Perception to Physical Interaction workshop at

Robotics: Science and Systems (RSS). Learning Models of Language, Action and Perception for Human-Robot Collaboration. Freiburg, Germany.

2019: Combined Workshop on Spatial Language Understanding and Grounded Communication for Robotics at the North American Association of Computational Linguistics (NAACL). Learning Grounded Language Through Non-expert Interaction. Minneapolis, Minnesota.

2018: NASA's Goddard Workshop on Artificial Intelligence. Learning Grounded Language For and From Interaction. Greenbelt, Maryland.

2018: AAAI Fall Symposium on AI for Human-Robot Interaction (AI-HRI). Grounded Language Learning for Bidirectional Human-Robot Interaction. Arlington, Virginia.

2018: Early Career Spotlight, International Joint Conference on Artificial Intelligence (IJCAI). Grounded Language Learning: Where Robotics and NLP Meet. Stockholm, Sweden.

2018: Models and Representations for Natural Human-Robot Communication workshop at Robotics: Science and Systems (RSS). Transferring Learned Language Models across Heterogeneous Systems. Pittsburgh, Pennsylvania, U.S.

2017: Foundations of Situated and Multimodal Communication workshop, International Conference on Computational Semantics (IWCS). Sensor Data and HRI as Context for Language Learning. Montpellier, France.

2016: Planning for Human-Robot Interaction: Shared Autonomy and Collaborative Robotics workshop at Robotics: Science and Systems (RSS). Language Learning for Flexible Human-Robot Tasking. Ann Arbor, Michigan, U.S.

2013: University of Potsdam. Grounded Language Acquisition from World Interaction. Potsdam, Germany.

COLLOQUIA 2018: Colloquium Series, Association for Computing Machinery at University of Maryland,

Baltimore County. Where's my Robot Butler? Robotics, NLP and Robots in Human Environments. Baltimore, Maryland, U.S.

2015: Colloquium Series, Computational Linguistics and Information Processing (CLIPS) at Maryland. Grounded Language Acquisition: A Physical Agent Approach. College Park, Maryland, U.S.

2015: Seminar Series, Human Language Technologies at Johns Hopkins University Applied Physics Lab. Talking to Robots: Learning to Ground Human Language in Robotic Perception. Laurel, Maryland, U.S.

2013: Colloquium, Washington State University. Language and Learning for Human-Robot Interaction. Pullman, Washington, U.S.

2013: Stanford Cognition & Language seminar series. Combining Language and Perception for Robot World Modeling. Stanford, California, U.S.

2012: Colloquium, Rice University. Robby in the Kitchen: Interacting with Robots in the Real World. Houston, Texas, U.S.

2012: Colloquium, Villanova University. Hello, Robby: Interacting with Robots. Radnor, Pennsylvania, U.S.

2003: Colloquium, Villanova University. An Overview of Cyc. Radnor, Pennsylvania, U.S.

SUPPORT 2019-2020: EAGER: Concept Formation in Partially Observable Domains. NSF IIS-1940931. Role: PI.

Funder: NSF. $219,516 total. 2018-2021: RI: Small: Concept Formation in Partially Observable Domains. NSF IIS-1813223. Role: PI.

(Original PI: desJardins.) Funder: NSF. $399,993 total. 2016-2020: NRI: Collaborative Research: A Framework for Hierarchical, Probabilistic Planning and

Learning. NSF IIS-1637937. Role: PI. (Original PI: desJardins.) Funder: NSF. $381,437 total. 2018: START: Language and Use Cases for Robotics in Gerontechnology. Funder: UMBC

COEIT internal. $22,748 total. 2018: SURFF: Developing and Analyzing the Effectiveness of an Event for Transitional

Junior Researchers. Funder: UMBC COEIT internal. $6000 total. 2017-2020: CRII: RI: Joint Models of Language and Context for Robotic Language Acquisition.

NSF IIS-1657469. Role: PI. Funder: NSF. $163,057 total. 2016: Google Internet of Things Technology Research Award of IoT hardware and computing

resources. Funder: Google.

AWARDS & HONORS – Named to IEEE bi-annual “AI’s 10 to Watch,” 2018 – National Science Foundation scholarship for 8-week visit to a European AI research lab, 2012 – National Science Foundation scholarship to attend AAMAS doctoral consortium, 2012 – 3rd place, Madrona Prize for commercial potential, 2011 – 1st place, AAAI Small-Scale Robotic Manipulation Challenge, 2010 – Google Workshop for Women Engineers (GWWE) Travel Award Recipient, 2008 – National Science Foundation REU, 1999 – University of Texas National Merit Scholar scholarship, B.S. degree

TEACHING & MENTORING CURRENT ADVISEES

PH.D. 2019-present: André Nguyen, Ph.D. student, Computer Science. 2019-present: Kasra Darvish, Ph.D. student, Computer Science. 2018-present: Frank Serna, Ph.D. student, Computer Science.

2015-present: Timothy Lewis, Ph.D. student, Computer Science. 2014-present: Nisha Pillai*, Ph.D. candidate, Computer Science.

M.SC. 2019-present: Justin Rokisky, M.S. student, Computer Science 2019-present: Padraig Higgins, M.S. student, Computer Science 2019-present: Rishabh Sachdeva, M.S. student, Computer Science 2019-present: Luke Richards*, M.S. student, Computer Science. 2018-present: Patrick Jenkins, M.S. student, Computer Science 2018-present: Huma Saudagar*, M.S. student, Computer Science.

UNDERGRADUATE RESEARCH 2019-present: Monali Saraf*, B.S. student, Computer Science. 2019-present: Malakhi Hopkins*, B.S. student, Computer Engineering. 2019-present: Brendan Witt*, B.S. student, Computer Science. 2018-2019: Stephanie Milani*, B.S. student, Computer Science. 2017-present: Uchenna Osia*, B.S. student, Computer Science.

ALUMNAE

PH.D. 2019: Dr. John Winder. Thesis: Abstract Decision-Making and Concept Formation for

Adaptability and Generalization. Original advisor: Marie desJardin. M.SC.

2019: Caroline Kery*. Thesis: Esta es una Naranja Atractiva: Adventures in Adapting an English Language Grounding System to Non-English Data.

2019: Michael Neary. Co-advisor. Thesis: Identifying Extraneous Elements of Novice Source Code.

2018: Tim Lewis. Computer Science 2018. Thesis: Augmentative and Alternative Communication Interface with a Context-Based, Predictive Language Model.

2018: Isha Potnis*. Computer Science 2018. Thesis: Sharing Learned Models Between Heterogenous Robots: An Image-Driven Interpretation.

2017: Tejas Sathe. Computer Science 2017. Thesis: S.T.O.M.P.: Sentry Tele-Operation and Monitoring Protocol.

2017: Gurpreet Singh. Computer Science 2017. Thesis: CARLTON: A Location Aware Helpdesk Agent.

2016: Neil R. Bell. Computer Science 2015. Thesis: Human-Robot Object Exchange - a Comparative Study of Human Emotion Regarding Proximity and Success.

COMMITTEE MEMBER/READER

Current: John Seymour, Ph.D candidate. Computer Science.

Current: Kavita Krishnaswamy*, Ph.D candidate. Computer Science.

2019: Karan Budhraja, Ph.D. Computer Science. Thesis: Understanding the Logical and Semantic Structure of Large Documents. Committee member.

2018: Muhammad Rahman, Ph.D. Computer Science. Thesis: Understanding the Logical and Semantic Structure of Large Documents. Reader.

2018: Alexander Spizler, M.S. Computer Science. Thesis: Clustering Analysis of Malware Binaries using the Lempel-Ziv Jaccard Distance. Reader.

2018: Edward Raff, Ph.D Computer Science. Thesis: Malware Detection and Cyber Security via Compression. Reader.

2017: Abhay Kashyap, Ph.D Computer Science. Thesis: Deep Representation of Lyrical Style and Semantics for Music Recommendation. Committee member.

2017: Jennifer Sleeman*, Ph.D Computer Science. Thesis: Dynamic Data Assimilation for Topic Modeling (DDATM). Reader.

2016: Ryan Murphy, M.S. Computer Science. Thesis: Book of Mormon Authorship: Unity and Validity. Committee member.

2015: Atul Mirajkar, M.S. Computer Science. Thesis: Interactive Reinforcement Learning with Confidence Based Autonomy. Committee member.

2014: Shang-Ling Huang*, M.S. Computer Science. Thesis: Anomaly Detection in Data Streams with A-Distance: Effects on Accuracy with Multiple Anomalous Operators. Committee member.

UNDERGRADUATE ALUMNAE

2019: Fayokemi Ojo*, B.S. student, Computer Science, UMBC 2017-2018: Adam Grosse, B.S. Computer Science, UMBC 2017-present: Uchenna Osia*, B.S. Electrical and Computer Engineering, UMBC 2018-2019: Luke Richards*, B.S. Computer Science, UMBC 2016-2017: Natacha Ngea*, B.S. Electrical and Computer Engineering, UMBC 2014-2017: Megan Zimmerman*, B.S. Computer Science, UMBC 2015: Tenji Tembo*, B.S. Computer Science, UMBC 2012–2014: Vivek Paramasivam, B.S./M.S. Computer Science, University of Washington 2013–2014: Caitlin Harding*, B.S. Computer Science, B.A. Linguistics, University of Washington 2011–2012: Robert Chu, B.S. Computer Science, University of Washington Mike Kung, B.S. Computer Science, University of Washington Summer 2009: Jonecia Keels*, B.S. Computer Science, Spelman College Jazmine Miller*, B.S. Computer Science, Spelman College

* Student is a member of an under-represented group in computer science/engineering.

COURSES TAUGHT

Fall 2019: Principles of Artificial Intelligence (CMSC 671, graduate) Advanced Topics in Artificial Intelligence (CMSC 871, graduate) Spring 2019: Special Topics in Robotics: Human-Robot Interaction (CSEE 691, graduate) Advanced Topics in Artificial Intelligence (CMSC 871, graduate) Fall 2018: Principles of Artificial Intelligence (CMSC 671, graduate) Advanced Topics in Artificial Intelligence (CMSC 871, graduate) Spring 2018: Introduction to Robotics (CSEE 479/679, undergraduate/graduate) Fall 2017: Principles of Artificial Intelligence (CSEE 671, graduate) Spring 2016: Special Topics in Robotics: Human-Robot Interaction (CSEE 691, graduate) Fall 2016: Principles of Artificial Intelligence (CSEE 671, graduate) Fall 2015: Introduction to Robotics (CSEE 479/679, undergraduate/graduate) Fall 2014: Ethical and Social Issues in Information Technology (CSEE 304, undergraduate)

GUEST LECTURES

Fall 2013: Washington State University, Introduction to Robotics: An Introduction to HRI Fall 2013: University of Washington, Artificial Intelligence: Constraint Satisfaction (3 lectures)

Spring 2013: Villanova University, Artificial Intelligence: An Introduction to Robotics Spring 2012: Villanova University, Text Mining Applications: How can robots learn to

understand unstructured text? Spring 2006: Villanova University, The Semantic Web: Experience with a long-term ontology project

PROFESSIONAL ACTIVITIES & SERVICE UNIVERSITY SERVICE

2019–2020: Diversity & Inclusion Committee (chair)

DEPARTMENT SERVICE

2019–present: Graduate Committee 2017–present: Graduate Admissions Committee 2017–2019: Undergraduate Committee Summer 2017: ABET Committee 2015–2017: Faculty Hiring Committee 2014–2015: Graduate Admissions Committee

SERVICE TO PROFESSION

2019: Invited attendee, AI Roadmap initiative workshop I – Integrated Intelligence. NSF-sponsored AAAI event. San Francisco, California.

2018: Invited attendee, AI Roadmap initiative workshop II – Interaction. NSF-sponsored AAAI event. Denver, Colorado.

2018: Invited attendee, AI Roadmap initiative workshop III – Self Aware Learning. NSF-sponsored AAAI event. Chicago, Illinois.

CONFERENCE ORGANIZATION

– Workshops co-chair, Robotic Science & Systems (RSS) 2018 – ACL Workshop on Language Grounding for Robotics, 2017 – AAAI Workshop on Grounding Language for Physical Systems, 2012 – ICML Workshop on Structural Knowledge Transfer for Machine Learning, 2006

SENIOR PROGRAM COMMITTEE / AREA CHAIR

2019: Conference on Robot Learning (CoRL), Area Chair 2018: International Joint Conference on Artificial Intelligence (IJCAI), SPC

JOURNAL REVIEWER

Dates do not imply reviewing each year inclusively.

2019: The International Journal of Robotics Research (IJRR) 2018: IEEE Transactions on Human-Robot Interaction (T-HRI) 2017–present: Journal of Artificial Intelligence (JAIR) 2013: IEEE Transactions on Human-Machine Systems (T-HMS) 2012: IEEE Transactions on Automation Science and Engineering (T-ASE) 2012: ACM Transactions on Interactive Intelligent Systems (TiiS)

PROGRAM COMMITTEE MEMBER/REVIEWER

Dates do not imply reviewing each year inclusively.

2013–present: International Joint Conference on Artificial Intelligence (IJCAI) 2012–present: Robotic Science & Systems (RSS) 2011–present: Robotics and Automation (ICRA) 2010–present: Human-Robot Interaction (HRI) 2006–present: Conference on Artificial Intelligence (AAAI) 2019: International Symposium on Robotics Research (ISRR) 2018: Conference on Robot Learning (CoRL) 2010–2013: Intelligent Robots and Systems (IROS) 2013: Artificial Intelligence and Interactive Digital Entertainment (AIIDE) 2012: Ubiquitous Computing (UbiComp) 2012: Robot and Human Interactive Communication (Ro-Man) 2006–2007: Principles of Knowledge Representation and Reasoning (KR&R)

PROPOSAL REVIEWER

NSF panelist, 2016, 2018

CONFERENCE VOLUNTEER

– RSS 2009, HRI 2010, AAAI 2012, AAAI 2013

PRESS 2019: “What images of women at work tell us about sexism,” CNN Business, February 2019. 2018: “AI’s 10 To Watch,” IEEE Intelligent Systems Magazine, January/February 2018. 2017: “How robots could help bridge the elder-care gap,” The Conversation, August 2017. 2017: “Will a robot take your job?” NBC affiliate WBAL-TV, July 2017. 2015: “Image Searches, Professions, and Gender,” UMBC Insight, April 2015. 2015: “Google’s algorithm shows prestigious job ads to men, but not to women. Here’s why

that should worry you,” Washington Post, July 2015. 2014: “The uncomfortable truth about how we view working women, in one simple Google

search,” Washington Post, April 2014. 2012: Robot security and privacy in the Nova ScienceNOW episode “Can Science Stop Crime?” 2010: Sidebar: “Robots with skin enter our touchy-feely world,” New Scientist. 2009: “Household Robots Do Not Protect Users’ Security and Privacy, Researchers Say,”

eScience News.

CITIZENSHIP United States