Assistant Professor, Department of Computer Science and Engineering, University of South Florida
4202 E. Fowler Avenue, Tampa, FL 33620, USA zhaohan[delete this]@[delete this]usf.edu zhaohanphd.com 9/21/2024
Also available in PDF
Mission: Develop capable robotic systems and understandable robot interactions with humans
Areas: Human-robot interaction (HRI), augmented reality (AR), artificial intelligence (AI)
Expertise: Robot explanation/transparency, projector-based/head-worn AR, mobile manipulation, references, robot failures, assistive robotics, handovers, robot competition, behavior trees, robot ethics, workload, teleoperation
2016–2021 | Ph.D., Computer Science, University of Massachusetts Lowell, USA |
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2014–2016 | M.S., Computer Science, University of Manitoba, Canada |
2009–2013 | B.S., Computer Science (Honours, three co-op terms), University of Manitoba, Canada |
8/2023→ | Assistant Professor, Department of Computer Science and Engineering, University of South Florida |
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8/2021–7/2023 | Post-Doctoral Fellow, Department of Computer Science, Colorado School of Mines Projects:
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8/2022–12/2022 | Adjunct Faculty†, Department of Computer Science, Colorado School of Mines
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5/2018–4/2021 | Research Assistant, Department of Computer Science, University of Massachusetts Lowell Projects:
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9/2016–4/2018 | Teaching Assistant†, Department of Computer Science, University of Massachusetts Lowell |
5/2015–4/2016 | Marker/Teaching Assistant†, Department of Computer Science, University of Manitoba, Canada |
5/2013–8/2013 | Software Developer‡, Payment Processing, iQmetrix (350+ employees), Winnipeg, Canada |
9/2012–12/2012 | App. Developer‡, Twitter & Facebook, Blackberry (3500+ employees), Ottawa, Canada |
1/2012–4/2012 | App. Developer (Web, Co-op)‡, Wawanesa Insurance (3000+ employees), Winnipeg, Canada |
†Teaching Experience is described in its own section.
‡Non-academia employment is detailed in the Industry Experience section.
5/2024 | Excellence in Mentoring Undergraduate Research Award – Faculty |
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8/2023 | Mines Diversity, Inclusion & Access (DI&A) Award to Mines Asian Community Alliance, Outstanding Campus Engagement |
3/2023 | Best Late Breaking Report (LBR) Nominee (top 5%, 7/139) |
8/2022 | Mines Diversity, Inclusion & Access (DI&A) Award, Creating a Culture of Inclusion (Faculty)
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7/2022 | Best Long-Paper Award |
4/2022 | Elected Councilor (7/2022–6/2025), Mathematical, Computing, and Statistical Sciences Division (MCS) |
3/2022 | Third Prize, Best Late Breaking Report (LBR) Award (top 3%, 3/103) |
6/2020 | Finalist (proposal writer & team lead)
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5/2020 | First Place (proposal writer & team lead)
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5/2019 | Second Place (team description writer & team lead)
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4/2024 | Adrian Lozada, Accepted Participant, CRA-WP Distributed Research Experiences for Undergraduates (DREU) |
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1/2024 | Hong Wang, 2024 CRA-WP Grad Cohort for Women |
1/2024 | Uthman Tijani, 2024 CRA-WP Grad Cohort for Inclusion, Diversity, Equity, Accessibility, and Leadership Skills (IDEALS) |
1/2024–7/2024 | NSF I-Corps Site Subgrant |
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1/2024–5/2024 | Faculty Undergraduate Research Mentorship Grant |
2019–2020 | Human-Aware Projection Mapping for Robot Intention |
2019–2020 | Detecting and Removing Small Ground Object Hazards with 3D LiDAR on a Mobile Manipulator |
2018–2019 | Mobile Multi-Task Manipulation in a Confined and Integrated Environment with Irregular Objects |
1/2023 | DI&A Community Grant for MACA 2023 Lunar New Year Celebration |
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2021–2022 |
Open Access Pilot Mini-Grant |
Zhao Han, Holly A. Yanco. “Communicating Missing Causal Information to Explain a Robot’s Past Behavior.” ACM Transactions on Human-Robot Interaction (THRI), 12(1), 2023. Top HRI journal.
Landon Brown*, Jared Hamilton*, Zhao Han*, Albert Phan*, Thao Phung*, Eric Hansen, Nhan Tran, and Tom Williams. “Best of Both Worlds? Combining Different Forms of Mixed Reality Deictic Gestures.” ACM Transactions on Human-Robot Interaction (THRI), 12(1), 2023. *Equal contribution. Top HRI Journal.
Zhao Han, Elizabeth Phillips (GMU, Psychology), and Holly Yanco. “The Need for Verbal Robot Explanations and How People Would Like a Robot to Explain Itself.” ACM Transactions on Human-Robot Interaction (THRI), 10(4), 2021. Top HRI journal.
Alexander Wilkinson, Michael Gonzales, Patrick Hoey, David Kontak, Dian Wang, Noah Torname, Amelia Sinclaire, Zhao Han, Jordan Allspaw, Robert Platt, and Holly Yanco. “Design guidelines for human–robot interaction with assistive robot manipulation systems.” Paladyn, Journal of Behavioral Robotics, 12(1), 2021. Open access.
Zhao Han, Daniel Giger, Jordan Allspaw, Michael S. Lee (CMU), Henny Admoni (CMU), and Holly A. Yanco. “Building The Foundation of Robot Explanation Generation Using Behavior Trees.” ACM Transactions on Human-Robot Interaction (THRI), 10(3), 2021. Invited talk at Georgia Tech. Top HRI journal.
Uthman Tijani, Hong Wang, and Zhao Han. “Towards Reproducible Language-Based HRI Experiments: Open-Sourcing a Generalized Experiment Project,” 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2024. Top HRI conference. 61.3% acceptance rate (short contribution).
Gregory LeMasurier, Alvika Gautam, Zhao Han, Jacob Crandall, and Holly Yanco. “Reactive or Proactive? How Robots Should Explain Failures,” 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2024. Top HRI conference. 24.9% acceptance rate.
Annie Huang*, Alyson Ranucci*, Adam Stogsdill*, Grace Clark, Keenan Schott, Mark Higger, Zhao Han, and Tom Williams. “(Gestures Vaguely): The Effects of Robots’ Use of Abstract Pointing Gestures in Large-Scale Environments,” 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2024. *Equal contribution. Top HRI conference. 24.9% acceptance rate.
Gabriel Del Castillo*, Grace Clark*, Zhao Han*, and Tom Williams. “Exploring the Naturalness of Cognitive Status-Informed Referring Form Selection Models,” The 16th International Conference on Natural Language Generation (INLG), 2023. *Equal contribution. Top NLG conference.
Zhao Han and Tom Williams. “Evaluating Cognitive Status-Informed Referring Form Selection for Human-Robot Interactions,” 2023 Annual Meeting of the Cognitive Science Society (CogSci), 2023. Top Cognitive Science conference. 43.4% acceptance rate (380/875).
Zhao Han*, Yifei Zhu*, Albert Phan, Fernando Sandoval Garza, Amia Castro, and Tom Williams. “Crossing Reality: Comparing Physical and Virtual Robot Deixis,” 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2023. *Equal contribution. Top HRI conference. 25.2% acceptance rate.
Ruchen Wen, Alyssa Hanson, Zhao Han, and Tom Williams. “Fresh Start: Encouraging Politeness in Wakeword-Driven Human-Robot Interaction,” 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2023. Top HRI conference. 25.2% acceptance rate.
Kevin Spevak*, Zhao Han*, Tom Williams, and Neil T. Dantam. “Givenness Hierarchy Informed Optimal Document Planning for Situated Human-Robot Interaction,” 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022. *Equal contribution. Top Robotics conference. 48% acceptance rate (1,740/3,579).
Zhao Han, Polina Rygina and Tom Williams. “Evaluating Referring Form Selection Models in Partially-Known Environments,” The 15th International Conference on Natural Language Generation (INLG), 2022. Top NLG conference. Best Long-Paper Award.
Zhao Han, Jenna Parrillo, Alexander Wilkinson, Holly A. Yanco, and Tom Williams. “Projecting Robot Navigation Paths: Hardware and Software for Projected AR,” 2022 ACM/IEEE International Conference on Human-Robot Interaction (HRI), Short Contributions (Open Science – Code Sharing), 2022. Top HRI conference. 24% acceptance rate.
Ruchen Wen, Zhao Han and Tom Williams. “Teacher, Teammate, Subordinate, Friend: Generating Norm Violation Responses Grounded in Role-based Relational Norms,” 2022 ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2022. Top HRI conference. 24% acceptance rate.
Zhao Han, Adam Norton, Eric McCann, Lisa Baraniecki, Will Ober, Dave Shane, Anna Skinner, and Holly A. Yanco. “Investigation of Multiple Resource Theory Design Principles on Robot Teleoperation and Workload Management.” 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021. Top Robotics conference. 49% acceptance rate (1,946/4,005).
Tyler Frasca* (Tufts), Zhao Han*, Jordan Allspaw, Holly Yanco, and Matthias Scheutz (Tufts). “Going Cognitive: A Demonstration of the Utility of Task-General Cognitive Architecture for Adaptive Robotic Task Performance.” 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020. *Equal contribution. Top Robotics conference. 47% acceptance rate (1,409/2,996).
Zhao Han, Jordan Allspaw, Gregory LeMasurier, Jenna Parrillo, Daniel Giger, S. Reza Ahmadzadeh, and Holly A. Yanco. “Towards Mobile Multi-Task Manipulation in a Confined and Integrated Environment with Irregular Objects.” 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020. Top Robotics conference. 42% acceptance rate (1,483/3,512).
Zhao Han and Holly Yanco. “The Effects of Proactive Release Behaviors During Human-Robot Handovers.” 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2019. Top HRI conference. 28% acceptance rate.
Patrick M. J. Dubois, Zhao Han, Fan Jiang, and Carson K. Leung. “An Interactive Circular Visual Analytic Tool for Visualization of Web Data.” IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2016.
Zhao Han and Carson K. Leung. “FIMaaS: Scalable Frequent Itemset Mining-as-a-Service on Cloud for Non-Expert Miners.” International Conference on Big Data Applications and Services (BigDAS), ACM, 2015.
Alfredo Cuzzocrea, Zhao Han, Fan Jiang, Carson K. Leung, and Hao Zhang. “Edge-based Mining of Frequent Subgraphs from Graph Streams.” Procedia Computer Science 60, special issue of KES 2015, 2015.
Xiangfei Kong and Zhao Han. “Do Results in Experiments with Virtual Robots in Augmented Reality Transfer To Physical Robots? An Experiment Design.” 4th Workshop YOUR Study Design! Participatory critique and refinement of human-robot interaction user studies (WYSD ’24), 2024.
Hong Wang, Tam Do, and Zhao Han. “To Understand Indicators of Robots’ Vision Capabilities.” 2024 International Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions at HRI 2024 (VAM-HRI), 2024.
Hong Wang, Tam Do, and Zhao Han. “Designing Indicators to Show a Robot’s Physical Vision Capability.” The 31st IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (IEEE VRW), 2024.
Jiaee Cheong, Nikhil Churamani, Luke Guerdan, Tabitha Edith Lee, Zhao Han, and Hatice Gunes. “Causal-HRI: Causal Learning for Human-Robot Interaction.” 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI), Workshop Abstract, 2024.
Raj Korpan*, Amy Eguchi, Zhao Han, Anastasia K. Ostrowski, Sindhu Ravindranath, and Ana Tanevska. “3rd Workshop on Inclusive HRI: Equity and Diversity in Design, Application, Methods, and Community.” 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI), Workshop Abstract, 2024.
Rafael Sousa Silva, Zhao Han, and Tom Williams. “The Importance of Memory for Language-Capable Robots.” XRDS: Crossroads, The ACM Magazine for Students, 30(1), 2023.
Mark Higger, Polina Rygina, Logan Daigler, Lara Ferreira Bezerra, Zhao Han, and Tom Williams. “Toward Open-World Human-Robot Interaction: What Types of Gestures Are Used in Task-Based Open-World Referential Communication?” The 27th Workshop on the Semantics and Pragmatics of Dialogue (SEMDIAL), 2023.
Ana Tanevska, Shruti Chandra, Giulia Barbareschi, Amy Eguchi, Zhao Han, Raj Korpan, Anastasia K. Ostrowski, Giulia Perugia, Sindhu Ravindranath, Katie Seaborn, and Katie Winkle. “Inclusive HRI II: Equity and Diversity in Design, Application, Methods, and Community.” 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI), Workshop Abstract, 2023.
Shelly Bagchi, Patrick Holthaus, Gloria Beraldo, Emmanuel Senft, Daniel Hernández García, Zhao Han, Suresh Kumaar Jayaraman, Alessandra Rossi, Connor Esterwood, Antonio Andriella, and Paul Pridham. “Towards Improved Replicability of Human Studies in Human-Robot Interaction: Recommendations for Formalized Reporting.” 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI), Late-Breaking Report (LBR), 2023. Best Late Breaking Report (LBR) Nominee.
Zhao Han, Tom Williams, and Holly A. Yanco. “Mixed-Reality Robot Behavior Replay: A System Implementation.” 2022 AAAI Fall Symposium on The Artificial Intelligence for Human-Robot Interaction (AI-HRI), 2022.
Zhao Han and Tom Williams. “Towards Formalizing HRI Data Collection Processes.” The 4th Annual Workshop on Novel and Emerging Test Methods & Metrics for Effective HRI at HRI 2022, 2022.
Zhao Han*, Albert Phan*, Amia Castro*, Fernando Sandoval Garza*, and Tom Williams. “Towards an Understanding of Physical vs Virtual Robot Appendage Design.” 2022 International Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions at HRI 2022 (VAM-HRI), 2022. * Equal contribution
Gregory LeMasurier, Alvika Gautam (BYU), Zhao Han, Jacob W. Crandall (BYU), and Holly A. Yanco. ““Why Didn’t I Do It?” A Study Design to Evaluate Robot Explanations.” HRI 2022 Workshop YOUR study design! Participatory critique and refinement of participants’ studies, 2022.
Zhao Han, Boyoung Kim (GMU, Psychology), Holly A. Yanco, and Tom Williams. “Causal Robot Communication Inspired by Observational Learning Insights.” 2022 AAAI Spring Symposium on Closing the Assessment Loop: Communicating Proficiency and Intent in Human-Robot Teaming, 2022.
Zhao Han and Tom Williams. “A Task Design for Studying Referring Behaviors for Linguistic HRI.” 2022 ACM/IEEE International Conference on Human-Robot Interaction (HRI), Late-Breaking Report (LBR), 2022. Third Prize, Best Late Breaking Report (LBR) Award (3/103).
Zhao Han, Alexander Wilkinson, Jenna Parrillo, Jordan Allspaw, and Holly A. Yanco. “Projection Mapping Implementation: Enabling Direct Externalization of Perception Results and Action Intent to Improve Robot Explainability.” 2020 AAAI Symposium on Artificial Intelligence for Human-Robot Interaction (AI-HRI), 2020. Full-length talk. Open science – code.
Zhao Han and Holly A. Yanco. “Reasons People Want Explanations After Unrecoverable Pre-Handover Failures.” 2020 IEEE ICRA Workshop on Human-Robot Handovers, 2020. Handover community engagement.
Zhao Han, Jordan Allspaw, Adam Norton, and Holly Yanco. “Towards A Robot Explanation System: A Survey and Our Approach to State Summarization, Storage and Querying, and Human Interface.” 2019 AAAI Symposium on Artificial Intelligence for Human-Robot Interaction (AI-HRI), 2019. Full paper, 8 pages.
Zhao Han. “Robot Explanations: Preferences, Generation, and Communication”. Ph.D. Dissertation, University of Massachusetts Lowell, Lowell, MA. 2021.
Zhao Han. “Delivering Scalable Frequent Pattern Mining for Non-Expert Data Miners”. M.S. Thesis, University of Manitoba, Winnipeg, MB, Canada. 2016.
Jivko Sinapov, Zhao Han, Shelly Bagchi, Muneeb Ahmad, Matteo Leonetti, Ross Mead, Reuth Mirsky, and Emmanuel Senft. “Introduction to the Special Issue on Artificial Intelligence for Human-Robot Interaction (AI-HRI).” ACM Transactions on Human-Robot Interaction (THRI), 13(3), 2024.
Zhao Han, Emmanuel Senft, Muneeb I. Ahmad, Shelly Bagchi, Amir Yazdani, Jason R. Wilson, Boyoung Kim, Ruchen Wen, Justin W. Hart, Daniel Hernández García, Matteo Leonetti, Ross Mead, Reuth Mirsky, Ahalya Prabhakar, Megan L. Zimmerman. “Proceedings of the AI-HRI Symposium at AAAI-FSS 2022.” 2022.
Reuth Mirsky, Megan Zimmerman, Muneed Ahmad, Shelly Bagchi, Felix Gervits, Zhao Han, Justin Hart, Daniel Hernández García, Matteo Leonetti, Ross Mead, Emmanuel Senft, Jivko Sinapov, Jason Wilson. “Proceedings of the AI-HRI Symposium at AAAI-FSS 2021.” 2021.
Shelly Bagchi, Jason R. Wilson, Muneeb I. Ahmad, Christian Dondrup, Zhao Han, Justin W. Hart, Matteo Leonetti, Katrin Lohan, Ross Mead, Emmanuel Senft, Jivko Sinapov, and Megan L. Zimmerman. “Proceedings of the AI-HRI Symposium at AAAI-FSS 2020.” 2020.
Zhao Han and Holly Yanco. “Investigating Human-Robot Handover Release Behaviors.” 2018 New England Manipulation Symposium, 2018. Poster.
8/2024– | Augmented Reality (4th year and graduate), University of South Florida |
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1/2024– | Software Engineering (undergraduate, 38 students), University of South Florida
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8/2023– | Augmented Reality (graduate, 60 students), University of South Florida
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8/2022– | Augmented Reality (4th year and graduate, 30 students), Colorado School of Mines
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9/2018– | Teaching Assistant, Artificial Intelligence (4th year), University of Massachusetts Lowell
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1/2018– | Teaching Assistant, Mobile Robotics I (4th year), University of Massachusetts Lowell
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9/2017– | Instructor/Teaching Assistant, Computing I Lab (1st year), University of Massachusetts Lowell
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1/2017– | Instructor/Teaching Assistant, Computing II Lab (1st year), University of Massachusetts Lowell
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9/2016– | Teaching Assistant, Software Architecture (3rd year), University of Massachusetts Lowell
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1/2016– | Marker, Object-Orientation (2nd year), University of Manitoba
Teaching Assistant/Marker, Advanced Artificial Intelligence (4th year), University of Manitoba
Instructor/Teaching Assistant, Programming Practices Lab (2nd year), University of Manitoba
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9/2015– | Marker, Databases: Concepts and Usage (3rd year), University of Manitoba
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5/2015– | Marker, Object-Orientation (2nd year), University of Manitoba
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8/2023–11/2023 | CITL and ODEI Book Club |
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8/2023–11/2023 | Small Tweaks, Large Impact
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9/2022– | Course: Foundations of Course Design
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10/2023→ | Xiangfei Kong♀ (M.S. student). AR virtual vs. physical robot experiment results. |
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8/2023→ | Hong Wang♀ (Ph.D. student). Indicating a robot’s physical vision capability. |
8/2023→ | Uthman Tijani (Ph.D. student). In-air projection for robot communication. |
9/2024→ | Felix Mendez. Using robots to improve college students’ mental health. |
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9/2024→ | Maria Julia Martins Vidal. Indicating robot’s vision capability. |
8/2024→ | Dev Thakkar. AR virtual vs. physical robot experiment results. |
7/2024→ | James Yab. AR virtual vs. physical robot experiment results. |
5/2024→ | Ridhima Phatak. Robot’s physical vision capability indicator. |
5/2024-8/2024 | Villa Keth. In-air projection for robot communication. |
4/2024-8/2024 | James Ocampo. Implementing robot’s physical vision indicator. |
1/2024-9/2024 | Duy Linh (Liam) Ha. Using robots to improve college students’ mental health. |
1/2024→ | Adrian Lozada. In-air projection for robot communication. |
11/2023→ | Tam (Tammy) Do♀. Using robots to improve college students’ mental health. |
3/2024 | Kejvi Cupa, M.S. in Computer Science. |
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3/2023- | Daniel (Danny) Hammer (Ph.D. student, 1st year). Evaluation of cognitive status-informed document planner. |
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8/2022- | Mark Higger (1st year M.S. student. Transitioned to Ph.D. in 2023. 1 paper). Gesturing in referring form selection. |
5/2022- | Yifei (Rena) Zhu♀ (Ph.D. student, 1st year. 1 paper). Comparing AR robot arm with physical robot arm. |
8/2021- | Ruchen (Puck) Wen♀ (Ph.D. student, 3rd year to graduate). Research and career advice. |
4/2023- | Aaron Fanganello. Evaluation of Cognitive Status-Informed Document Planner. |
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10/2022- | Keenan Schott (1 paper). Comparing deictic and non-deictic spatial gestures. |
8/2022- | Annie Huang♀ (1 paper). Comparing deictic and non-deictic spatial gestures. |
8/2022- | Aly Ranucci♀ (1 paper). Comparing deictic and non-deictic gestures. |
11/2021- | Gabriel Del Castillo (1 paper). Givenness Hierarchy-informed theoretic referential choice for linguistic robots. |
8/2021– | Fernando Sandoval Garza (2 papers). Comparing AR robot arm with physical robot arm. |
8/2021– | Grace Clark♀ (2 papers). Givenness Hierarchy-informed theoretic referential choice for linguistic robots. |
8/2021– |
Aly Ranucci♀. Category transitions between deictic and non-deictic spatial gestures. |
2020 |
Alexander Wilkinson (3 papers – 1 journal). Projection mapping for tabletop manipulation intent. |
5/2019– | Jenna Parrillo♀ (3 papers). Near-table navigation. Projection mapping for navigation intent. |
2019 |
Gregory LeMasurier (1 paper. Started Ph.D. in 2021). Door handle manipulation and robotics simulation. |
2020 |
Alexander Wilkinson (3 papers – 1 journal). Projection mapping for tabletop manipulation intent. |
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5/2019– | Jenna Parrillo♀ (3 papers). Near-table navigation. Projection mapping for navigation intent. |
2019 |
Gregory LeMasurier (1 paper. Started Ph.D. in 2021). Door handle manipulation and robotics simulation. |
11/2022- | Program Committee Member |
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10/28/2022 | Poster Presentation Judge, 2022 Fall Undergraduate Research Symposium
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10/26/2022 | Workshop, “Mentorship: The Key to Success in the Academic Workspace” |
4/18/2022 | Workshop: “Centering Equity and Inclusion in Undergraduate Research Mentoring.” |
4/18/2022 | Poster Presentation Judge, 2022 Spring Undergraduate Research Symposium
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6/2024 |
Co-Organizer
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6/2024 |
Associate Editor for Late-breaking reports
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5/2024 | Proposal Review Panelist, Foundational Research in Robotics (FRR)
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9/2023-3/2024 |
Co-Organizer, Workshop on “Causal-HRI: Causal Learning for Human-Robot Interaction,” 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI) |
10/2023– |
Program Committee (PC) Member (Main Track, Studies Theme)
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8/2023→ |
Guest Editor, Special Issue on Human-mediated Robot Autonomy |
7/2023- |
Diversity and Inclusion Chair, Program Committee (PC) Member
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6/2023→ |
Lead Topic Editor, Perceiving, Generating, and Interpreting Affect in HRI
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6/2023-3/2024 |
Publications Co-Chair |
2/2023–9/2023 |
Co-Organizer
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9/2022– |
Program Committee (PC) Member (Main Track, Technical Theme → Studies Theme)
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10/2022 |
Session Co-Chair, Special Session: Computational Advances in Human-Robot Interaction 1 |
4/2022– |
General Co-Chair
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3/2022– |
Co-Organizer
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4/2022– |
Area Chair, Program Comittee
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4/2022→ |
Elected Councilor (7/2022–6/2025), Mathematical, Computing, & Statistical Sciences Division
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2/2022– |
Lead Principal Co-Organizer, Special Session on Computational Advances in HRI
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1/2022→ |
Standards Voting Member, P3107 – Standard Terminology for Human-Robot Interaction |
12/2021→ |
Subgroup Co-Chair & Standards Voting Member, P3108 – Recommended Practice for HRI Design of Human Subject Studies
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12/2021→ |
Guest Editor, Special Issue on Artificial Intelligence for Human-Robot Interaction
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4/2020– |
Co-Organizer, Program Co-Chair, Session Chair
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2019→ |
Professional Society Member
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Journal
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Conference HRI, Robotics, AI
HCI, AR/VR, Cognitive Science
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Symposium, Workshop, and Late-Breaking Report
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Spring 2024 | Spring Induction to the Profession Ceremony |
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Fall 2023 | Graduate Admissions Committee Member
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9/2023-3/2024 |
Co-Organizer |
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8/2023→ |
Faculty Advisor |
11/2022- |
Co-Organizer
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8/2022- |
Planning Committee Member
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3/2022 |
Program Committee Member |
3/2022-8/2023 |
Committee Member, Public Policy Subcommittee, NPA Advocacy Committee
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2/15/2022 |
Workshop Presenter, Interactive Workshop “Solidarity, Not Model Minority”
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1/2022- |
Planning Committee Member
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11/2021- |
Founding Chair
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10/2021-6/2023 |
Founding Officer
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9/2016– |
Vice President (2017 – 2019) & Member (2016)
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6/27/2023 |
Interactive Workshop Presenter
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10/12/2022 |
Co-Presenter to Toyota Research Institute
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6/24/2022 |
Lecturer for 6-10th Grade Students (1 hour)
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5/17/2022 |
Co-Presenter to External Advisory Board
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2/26/2022 |
Interactive Activity Presenter
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11/16/2021 |
STEM Fair Presenter
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10/27/2019 |
Department Tour Guide
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8/9/2018 |
Research Center Tour Guide
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4/28/2018 |
Judge
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1/17/2018– |
Technical Workshop Assistant
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2011 | Contributor, Translator, KDE UserBase Wiki |
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2009-10 | Photographer, The Manitoban Newspaper (University student newspaper) |
6/2009 | Organizer Assistant, Manitoba Marathon |
Excluding presentations of papers listed in the publications section above
3/2024 | Invited Talk, “Enabling Robot Explainability with AR,” 7th International Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions at HRI 2024, Boulder, CO |
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1/2024 | Invited Talk, “Embodied Intelligence and Collaborative Robotics,” DFW Chinese IT Association (DFWITA), Dallas, TX (Online) |
12/2023 | Invited Talk. “Evaluating AI in Physical World and Coping Failures,” AI Seminar, Tampa, FL. |
10/2023 | Invited Talk. “Independent Living Through Assistive Manipulation,” Research Opportunities in AgeTech, Tampa, FL. |
5/2023 | Invited Talk. “Bridging The Gap Between Robots and Humans Through Explainability,” IEEE Denver, University of Denver, Denver, CO. |
4/2023 | Invited Participant. NSF-funded “Workshop on Dialogue with Robots,” University of Pittsburgh, Pittsburgh, PA. |
3/2023 | Invited Talk. “Bridging The Gap Between Robots and Humans Through Explainability,” University of Maryland, Baltimore County (UMBC), Baltimore, MD. |
3/2023 | Invited Talk. “Bridging The Gap Between Robots and Humans Through Explainability,” University of Texas at Dallas (UT Dallas), Dallas, TX. |
2/2023 | Invited Talk. “Bridging The Gap Between Robots and Humans Through Explainability,” University of South Florida, Tampa, FL. |
1/2023 | Invited Talk. “Bridging The Gap Between Robots and Humans Through Explainability,” UC Merced, Merced, CA. |
3/2022 | Invited Panelist. Explainability Panel, 2022 AAAI Spring Symposium on Closing the Assessment Loop: Communicating Proficiency and Intent in Human-Robot Teaming, Stanford, CA. |
11/2021 | Invited Talk. “State Summarization With Behavior Trees for Explanation Generation & Communicating Causal Information of Past Actions,” ONR MURI Grant Annual Review, Virtual. |
10/2021 | Invited Talk. “Robot Explanation Generation Using Behavior Trees,” Georgia Tech, Virtual. |
5/2021 | Invited Talk. “Robot Explanation, AR, and Multiple Resource Theory,” Colorado School of Mines, Virtual. |
4/2021 | Invited Talk. “Robot Explanation, AR, and Multiple Resource Theory”, Colorado School of Mines, Virtual. |
2/2021 | Lighting Talk. “Communicating Missing Information of Robots’ Past Actions,” Office of Naval Research (ONR) Multidisciplinary University Research Initiatives (MURI) Grant Student Meeting, Virtual. |
8/2020 | Integration Talk. Zhao Han and Michael Lee (CMU). “Using Behavior Trees to Improve Human’s Understanding of Agent Behavior,” ONR MURI Grant Annual Review, Lowell, MA. |
8/2020 | Integration Talk and Demo. Zhao Han and Tyler Frasca (Tufts). “Going Cognitive: A Demonstration of the Utility of Task-General Cognitive Architectures for Adaptive Robotic Task Performance,” ONR MURI Grant Annual Review, Lowell, MA. |
11/2019 | Lighting Talk. “Investigating Human-Robot Handover Release Behaviors,” 2018 New England Manipulation Symposium, Yale University, New Haven, CT. |
9/2018 | Invited Guest Lecturer. “Informed Search Algorithms”, Artificial Intelligence, UMass Lowell, Lowell, MA. |
6/2018 | Guest Lecturer. “Bayesian Reasoning,” “Markov Chains,” and “Rapidly Exploring Random Trees,” University of Manitoba, Winnipeg, MB, Canada. |
2/2016 | Guest Lecturer. “Bayesian Reasoning,” “Markov Chains,” and “Rapidly Exploring Random Trees”, University of Manitoba, Winnipeg, MB, Canada. |
2021 | ROS Discourse, “ROS News for the Week of 12/13/2021 (Projecting Robot Navigation Paths)”, December 2021. |
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2020 | MassRobotics, “Analog Devices Sensor Fusion Challenge“, June 2020. |
2020 | MassRobotics, “Panasonic Prototype 3D LiDAR Challenge“, May 2020. |
2019 |
ONR MURI SUCCESS Project, “Annual Review Meeting 2019“, December 2019. |
2019 |
ONR MURI SUCCESS Project, “Summer 2019 Hacking and Integration“, August 2019. |
2019 | UMass Lowell, “UML 125 Years Proud“, August, 2019 |
2019 |
Inside Logistics (Canada), “Fetch rewards university team in manipulation challenge“, May 2019. |
2019 |
Bloomberg, The Associated Press, Robotics Tomorrow, Business Wire, “Winner of Fetch Robotics FetchIt! Challenge Executes Complex Manufacturing Tasks Using Autonomous Mobile Robotic Arm“, May 2019. |
2019 |
Today’s Medical Developments, “Fetch Robotics FetchIt! Mobile Manipulation Challenge winners“, May 2019. |
5/2013– | Software Developer, iQmetrix, Winnipeg, Canada
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9/2012– |
Blackberry Software Developer, Research in Motion, Ottawa, Canada
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1/2012– | Application Developer (Co-op), Wawanesa Insurance, Winnipeg, Canada
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GitHub: github.com/umhan35/
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