INTELLIMEDIA - Key Persons

Job Titles:

• Member of the Faculty and Staff
• Research Scientist

Andy Smith, Wookhee Min, Bradford Mott, and James Lester. Diagrammatic Student Models: Modeling Student Drawing Performance with Deep Learning. Proceedings of the Twenty-Third Conference on User Modeling, Adaptation, and Personalization (UMAP), pp. 216-227, Dublin, Ireland, 2015. Wookhee Min, Megan Frankosky, Bradford Mott, Jonathan Rowe, Eric Wiebe, Kristy Elizabeth Boyer, and James Lester. DeepStealth: Leveraging Deep Learning Models for Stealth Assessment in Game-based Learning Environments. Proceedings of the Seventeenth International Conference on Artificial Intelligence in Education (AIED), pp. 277-286, Madrid, Spain, 2015. (Nominated for Best Paper Award) Wookhee Min, Eun Young Ha, Jonathan Rowe, Bradford Mott, and James Lester. Deep Learning-Based Goal Recognition in Open-Ended Digital Games. Proceedings of the Tenth Annual Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), pp. 37-43, Raleigh, North Carolina, 2014. Wookhee Min, Bradford Mott, Jonathan Rowe, and James Lester. Leveraging Semi-Supervised Learning to Predict Student Problem-Solving Performance in Narrative-Centered Learning Environments. Proceedings of the Twelfth International Conference on Intelligent Tutoring Systems (ITS), pp. 664-665, Honolulu, Hawaii, 2014. Andy Smith is a Research Scientist in the Intellimedia Group within the Department of Computer Science at North Carolina State University. Andy received his M.S. and Ph.D. in Computer Science from North Carolina State University under the direction of Dr. James Lester. Prior to joining Intellimedia, Andy graduated from Duke University in 2005 with a double major in Electrical/Computer Engineering and Computer Science. Before returning to Raleigh to pursue a Ph.D. from NCSU, he worked at SPAWAR Systems Center in San Diego, as part of their Unmanned Maritime Vehicles laboratory, focusing primarily on sensor integration/deployment for underwater gliders. Dr. Smith's research focuses on applying data-mining and artificial intelligence techniques to improve learning environments. Projects have ranged from analyzing student behavior in game-based learning environments, to generating scenarios for military training, to developing automated techniques for analyzing student drawings collected from a digital science notebook for elementary students.

Job Titles:

• Graduate Student

I am a Ph.D. student in the Department of Computer Science at North Carolina State University. I received my Bachelor's degree in Computer Science and Engineering from Heritage Institute of Technology, Kolkata (India). I am interested in the application of machine learning techniques to support adaptive learning environments. My research focuses on stealth assessment for student interactions with game-based learning environments. In my spare time, I enjoy singing and reading.

Job Titles:

• Member of the Faculty and Staff
• Senior Research Scientist

Bradford Mott, Jonathan Rowe, Wookhee Min, Robert Taylor, and James Lester. Flare: An Open Source Toolkit for Creating Expressive User Interfaces for Serious Games. Proceedings of the Ninth International Conference on the Foundations of Digital Games (FDG), Fort Lauderdale, Florida, 2014. Wookhee Min, Jonathan Rowe, Bradford Mott, and James Lester. Personalizing Embedded Assessment Sequences in Narrative-Centered Learning Environments: A Collaborative Filtering Approach. Proceedings of the Sixteenth International Conference on Artificial Intelligence in Education (AIED), pp. 369-378, Memphis, Tennessee, 2013. Wookhee Min and Yun-Gyung Cheong. An Interactive-Content Technique Based Approach to Generating Personalized Advertisement for Privacy Protection. Proceedings of the Thirteenth International Conference on Human-Computer Interaction (HCII), pp. 185-191, San Diego, California, 2009. Ziwei Wu, Bradford Mott, Wookhee Min, Robert Taylor, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric Wiebe, and James Lester. Predicting Challenge Outcomes for Students in a Digital Game for Learning Genetics. Presented at the EDM'19 Workshop on EDM & Games: Leveling Leveling Up Engaged Learning with Data-Rich Analytics, Montreal, Canada, 2019. Joseph Wiggins, Mayank Kulkarni, Wookhee Min, Kristy Boyer, Bradford Mott, Eric Wiebe, and James Lester. User Affect and No-Match Dialogue Scenarios: An Analysis of Facial Expression. Proceedings of the ICMI 2018 Workshop on Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction (MA³HMI), pp. 6-14, Boulder, Colorado, 2018. Bradford Mott is a Senior Research Scientist in the Center for Educational Informatics and an Adjunct Assistant Professor in the Department of Computer Science at North Carolina State University. His research is in the areas of artificial intelligence and human-computer interaction with a focus on game-based learning environments, intelligent tutoring systems, student modeling, natural language processing, and interactive narrative technologies. His work includes the design, development, and investigation of advanced technologies for education, training, and entertainment, including work that investigates the use of game-based learning to promote K-12 computer science and artificial intelligence education. He serves as Principal Investigator and Co-Principal Investigator on projects supported by the National Science Foundation, the National Institute of Standards and Technology, and the U.S. Army Research Laboratory. He has also served as Co-Principal Investigator on projects supported by the the William & Flora Hewlett Foundation and the Bill & Melinda Gates Foundation. His work has been recognized with several best paper awards and he has contributed to award winning video games, including one that received a game of the year award. He received his Ph.D. in Computer Science with an emphasis on artificial intelligence from North Carolina State University in 2006. In addition to his academic experience, Dr. Mott has many years of software development experience in industry, including extensive experience in the video game industry, having served as Technical Director at Emergent Game Technologies where he created cross-platform middleware solutions for Microsoft's Xbox and Sony's PlayStation video game consoles. Prior to joining Emergent, he co-founded LiveWire Logic, a venture-backed AI-based enterprise software company. At LiveWire Logic, he served as the Vice President of Technology and led the design of the RealDialog™ product suite - an AI-based automated customer service solution. LiveWire Logic was acquired by Astute Solutions in early 2006. He is also a contributor to open source software projects, including the Stella Multi-Platform Atari 2600 Emulator, which he originally developed and later launched as an open source project to sustain its development. Stella has seen active development for over twenty-five years, has been used by video game enthusiasts around the world, and has received extensive use in the AI research community to develop advanced machine learning techniques to train AI agents to perform at superhuman levels through the Arcade Learning Environment and OpenAI Gym.

Job Titles:

• Member of the Faculty and Staff
• Digital Artist

Courtney Barron is a Digital Artist in the Center for Educational Informatics at North Carolina State University. Courtney is responsible for creating art and animation assets, designing and building game environments, mentoring art graduate students, and finding solutions to art and design problems. Courtney has been involved in the visual arts since a very young age and enjoys telling stories through her work, working in a range of media from pen on paper to digital animation. Outside of work she balances her free time between work on personal projects, exploring new types of art and media, as well as exploring the world to help inspire her work. Courtney joined the Center for Educational Informatics in 2022 and brings several years of experience in freelance graphic design, animation, and illustration to the team in order to find interesting and innovative ways animation and graphics can help communicate and drive interactive narratives. She received both her Masters and Bachelors Degree in Art + Design from North Carolina State University in 2022 and 2020, respectively. Education Master's Degree, Art + Design (2022) North Carolina State University, Raleigh, NC Bachelor's Degree, Art + Design (2020) North Carolina State University, Raleigh, NC

Job Titles:

• Member of the Faculty and Staff
• Research Scientist and Assistant Director of NSF AI Institute for Engaged Learning

I am a Research Scientist in the Department of Computer Science at North Carolina State University, as well as Assistant Director for the NSF AI Institute for Engaged Learning. I graduated from Siena College in Loudonville, NY with a B.S. in Computer Science and received a Ph.D. in Computer Science under Dr. James Lester at North Carolina State University. My research interests focus on the application of artificial intelligence in educational settings. In particular, I am interested in designing and developing adaptive narrative-centered learning environments; using machine learning to automatically analyze and support students' self-regulatory behaviors, such as goal setting, planning, and reflection; and leveraging advances in natural language processing to analyze students' interactions during collaborative learning.

Cassll, B.A., Young. R.M. (2012). A Comprehension Based Cinematic Generator for Virtual Environments. In the Working Notes of the Workshop on Intelligent Cinematography and Editing at the Foundations of Digital Games Conference.

Job Titles:

• Graduate Student

I am a Ph.D. student in the Department of Computer Science at North Carolina State University. Before joining NC State University, I worked as a Software Engineer for a year in the Research and Development department of Reve System Ltd, Bangladesh. I obtained my Bachelor's Degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET). My primary research interest is to understand pedagogical policy learning in intelligent learning environments using reinforcement learning, educational data mining and machine learning techniques to produce real-world optimized policies. I believe that the next decade will find better, cheaper and simpler ways to process and utilize data-driven implementation of reinforcement learning (specifically, offline learning) and will find an optimized human-in-the-loop framework for understandably, controllability and reliability of deep networks. Besides academia, I am a cinephile and a gamer. Education Ph.D., Computer Science (enrolled since Fall 2018) North Carolina State University, Raleigh, NC B.S., Computer Science and Engineering (2017) Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

Job Titles:

• Graduate Student

I am a Ph.D. student in the Computer Science Department at North Carolina State

Job Titles:

• Member of the Faculty and Staff
• Co - Principal Investigators
• Goodnight Distinguished University Professor in Artificial Intelligence and Machine Learning )
• Professor in Artificial Intelligence and Machine Learning at North Carolina State University

James C. Lester is the Goodnight Distinguished University Professor in Artificial Intelligence and Machine Learning at North Carolina State University. He is the Director of the Center for Educational Informatics and the Director of the National Science Foundation AI Institute for Engaged Learning. His research centers on transforming education with artificial intelligence. His current work ranges from AI-driven narrative-centered learning environments and virtual agents for learning to multimodal learning analytics and sketch-based learning environments. He is the recipient of a National Science Foundation CAREER Award, four Best Paper Awards, and the International Federation for Autonomous Agents and Multiagent Systems Influential Paper Award. At North Carolina State University, he has been recognized with the Alumni Association Outstanding Research Award, the Outstanding Teacher Award, and the Alexander Quarles Holladay Medal for Excellence. His research is supported by the National Science Foundation, the US Department of Education's Institute of Education Sciences, the National Institutes of Health, and the Army Futures Command. He has served as Editor-in-Chief of the International Journal of Artificial Intelligence in Education. He is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI).

Job Titles:

• Best Student Paper Award - EDM 2020

Job Titles:

• Graduate Student

I am a PhD student in the Department of Computer Science at North Carolina State University. I received my B.S. in Computer Science from Duke University in 2020. I am interested in using artificial intelligence to support adaptive learning environments that embrace principles of universal design for learning. Specifically, my research involves the use of automatic speech recognition and natural language processing to analyze spoken communication and promote personalization and accessibility in learning environments. I am also passionate about increasing the participation of people with disabilities in computer science across all levels of academia and industry.

Job Titles:

• Member of the Faculty and Staff
• Research Scientist

Jessica Vandenberg is a Research Scientist in the Center for Educational Informatics within the Department of Computer Science at North Carolina State University. Dr. Vandenberg earned her Ph.D. from North Carolina State University in Teacher Education and Learning Sciences, with a concentration in Educational Psychology. Her dissertation focused on the design, validation, and application of an upper elementary computer science attitudes survey. Prior to her doctoral studies, Dr. Vandenberg worked as a classroom teacher for eleven years in public schools in North Carolina and New Jersey. During her doctoral program, she worked as a College of Education Research Fellow at the William & Ida Friday Institute for Educational Innovation at North Carolina State University. For over three years, she served as the lead education graduate student on a National Science Foundation-supported multidisciplinary project that sought to foster collaboration and programming skills in upper elementary students by developing a digital learning environment that uses virtual learning companions. Dr. Vandenberg was a member of the 2021 Computing Innovations Fellow cohort. That project sought to create story-centric plugged and unplugged activities to support upper elementary student learning of artificial intelligence concepts as well as develop a set of self-report and multiple-choice instruments for assessing student attitudes and understanding around AI. Dr. Vandenberg's research focuses on computer science and computational thinking integration in upper elementary classrooms, supporting elementary and middle school students' work with artificial intelligence, and survey design. Vandenberg, J., Rachmatullah, A., Lynch, C., Boyer, K. E., & Wiebe, E. (2021). Relationship between race and gender in elementary computer science attitudes: A validation and cross-sectional study. International Journal of Child-Computer Interaction, 100293.

Job Titles:

• Senior Research Scientist and Managing Director of NSF AI Institute for Engaged Learning

I am a Senior Research Scientist in the IntelliMedia Group within the Department of Computer Science at North Carolina State University, Managing Director of the NSF AI Institute for Engaged Learning, and a member of the Center for Educational Informatics. My work focuses on designing, developing, and evaluating advanced learning technologies, with an emphasis on game-based learning environments, intelligent tutoring systems, multimodal learning analytics, intelligent narrative technologies, affective computing, and user modeling. More broadly, my research is at the intersection of artificial intelligence and human-computer interaction, with applications in education, training, and healthcare. Its principal objective is to understand how computational methods can enable technology-rich learning experiences that are both highly effective and engaging. My research has been recognized with several best paper awards, including best paper at the Seventh International Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE-2011) and best paper at the Second International Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN-2008). I also led development efforts on several game-based learning projects, including Crystal Island: Lost Investigation, which was nominated for Best Serious Game at the 2012 Unity Awards and the 2012 I/ITSEC Serious Games Showcase and Challenge. I have served as Program Chair and General Chair for the Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, and I currently serve on the editorial board of the International Journal of Artificial Intelligence in Education. I joined NC State in the Fall of 2006 as a Ph.D. student in Computer Science. The previous Spring I graduated from Lafayette College, a small liberal arts school in eastern Pennsylvania. At Lafayette, I studied Computer Science and Mathematics, and competed for the Lafayette Men's Track and Field Team, eventually earning ESPN The Magazine Academic All-District Honors. During Summer 2007, I worked at the Institute for Creative Technologies investigating a story authoring support tool called ReQUEST. A few years later, I spent Summer 2011 in the SAS Institute's Education Practice developing a prototype iPad app to support self-regulated learning in K-12 schools. In 2013, I completed my dissertation under the direction of Dr. James Lester, which investigated a modular reinforcement learning framework for narrative-centered tutorial planning in game-based learning environments.

Job Titles:

• Education

Job Titles:

• Member of the Faculty and Staff
• Research Software Engineer

Kara Cassell is a research software engineer in the Center for Educational Informatics at North Carolina State University. Dr. Cassell contributes to the design, implementation, and testing of various game-based learning environments.She enjoys balancing the needs of game and software design as well as research design principals. Dr. Cassell has 15 years of software development experience, 10 of which have involved game development. For the past 8 years, she has worked in the game industry developing serious games for social emotional and STEM learning environments. Her research has involved narrative and discourse generation for 2D and 3D games and narrative experiences, with a focus on AI planning algorithms to generate short machinima and comic strips. Dr. Cassell joined the Center for Educational Informatics in 2022. She is excited to continue the amazing work done by the group while supporting its research goals, and to pursue the intersection of narrative generation and AI-driven environments. Education Ph.D. Computer Science (2019) North Carolina State University M.S. Computer Science (2014) North Carolina State University B.S. Computer Science (2006) Virginia Polytechnic Institute and State University B.A. Economics (2006) Virginia Polytechnic Institute and State University

Wookhee Min, Kyungjin Park, Joseph Wiggins, Bradford Mott, Eric Wiebe, Kristy Elizabeth Boyer, and James Lester. Predicting Dialogue Breakdown in Conversational Pedagogical Agents with Multimodal LSTMs. Proceedings of the Twentieth International Conference on Artificial Intelligence in Education (AIED), pp. 195-200, Chicago, Illinois, 2019.

Nathan Henderson, Wookhee Min, Andrew Emerson, Jonathan Rowe, Seung Lee, James Minogue, and James Lester. Enhancing Stealth Assessment in Game-Based Learning Environments with Generative Zero-Shot Learning. Proceedings of the Fifteenth International Conference on Educational Data Mining, pp. 171-182, Durham, England, 2022. Nathan Henderson, Wookhee Min, Jonathan Rowe, and James Lester. Enhancing Multimodal Affect Recognition with Multi-Task Affective Dynamics Modeling. Proceedings of the Ninth International Conference on Affective Computing and Intelligent Interaction, pp. 1-8, Virtual, 2021. Nathan Henderson, Wookhee Min, Andrew Emerson, Jonathan Rowe, Seung Lee, James Minogue, and James Lester. Early Prediction of Museum Visitor Engagement with Multimodal Adversarial Domain Adaptation. Proceedings of the Fourteenth International Conference on Educational Data Mining, pp. 93-104, Paris, France, 2021. (Nominated for Best Paper Award) Nathan Henderson, Wookhee Min, Jonathan Rowe, and James Lester. Enhancing Affect Detection in Game-Based Learning Environments with Multimodal Conditional Generative Modeling. Proceedings of the Twenty-Second ACM International Conference on Multimodal Interaction, pp. 134-143, Utrecht, the Netherlands, 2020. Nathan Henderson, Wookhee Min, Jonathan Rowe, and James Lester. Multimodal Player Affect Modeling with Auxiliary Classifier Generative Adversarial Networks. Proceedings of the Sixteenth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 224-230, Worchester, Massachusetts, 2020.

Pengcheng Wang, Jonathan Rowe, Wookhee Min, Bradford Mott, and James Lester. Interactive Narrative Personalization with Deep Reinforcement Learning. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), pp. 3852-3858, Melbourne, Australia, 2017. Wookhee Min, Megan Frankosky, Bradford Mott, Eric Wiebe, Kristy Elizabeth Boyer, and James Lester. Inducing Stealth Assessors from Game Interaction Data. Proceedings of the Eighteenth International Conference on Artificial Intelligence in Education (AIED), pp. 212-223, Wuhan, China, 2017. Lydia Pezzullo, Joseph Wiggins, Megan Frankosky, Wookhee Min, Kristy Elizabeth Boyer, Bradford Mott, Eric Wiebe, and James Lester. "Thanks Alisha, Keep in Touch": Gender Effects and Engagement with Virtual Learning Companions. Proceedings of the Eighteenth International Conference on Artificial Intelligence in Education (AIED), pp. 299-310, Wuhan, China, 2017.

Job Titles:

• Research Operations Coordinator
• Research Operations Coordinator for the Center for Educational Informatics

Sarah Reaves is the research operations coordinator for the Center for Educational Informatics. She joined the NC State wolfpack in May 2019. Sarah has been involved in scientific research in several capacities: as an undergraduate researcher in a metamemory lab and an attention lab, a graduate researcher in a memory and aging lab, as a research assistant in an alcohol research lab, and as a coordinator for a nation-wide study investigating adolescent brain development. Sarah's scientific interests are broad and ever-growing. She is always excited to start a new project. Sarah's goals include helping the center run smoothly, continuing to contribute to scientific research where possible, and becoming the coordinator equivalent of organizational celebrity, Marie Kondo. Reaves, S., Strunk, J., Verhaeghen, P., Duarte, A. (November 2013). Retrospective attention facilitates both short and long-term memory: support for a single memory system. Poster presented at Society for Neuroscience, San Diego, CA.

Job Titles:

• Member of the Faculty and Staff
• Research Scientist

I am a Research Scientist at the Center for Educational Informatics at North Carolina State University. I received my Ph.D. in Computer Science with an emphasis on artificial intelligence from North Carolina State University in 2012. My dissertation work investigated a supervised machine learning framework for narrative planning in game-based learning environments for K-12 science education. I bring many years of applied research and development in natural language processing, including extensive experience in the enterprise software industry. After completing my Ph.D., I joined the Text Analytics group at SAS Institute where I served as a Senior Staff Scientist developing natural language processing technologies. At SAS, my work focused on sentiment analysis, named-entity recognition, and information retrieval. Prior to completing my Ph.D., I worked for 4 years at a venture-backed natural language processing startup, where I developed a machine learning-based dialogue authoring tool suite for Fortune 500 companies. I joined the Center for Educational Informatics at North Carolina State University in 2018. My research interests lie in applying AI and machine learning to creating adaptive learning environments for applications in education and training. Specifically, I am interested in developing intelligent tutoring systems and multimodal natural language dialogue systems for intelligent narrative-centered learning environments.

Job Titles:

• Member of the Faculty and Staff
• Research Scholar
• Research Software Engineer

Job Titles:

• Research Scientist

Wookhee Min, Bradford Mott, Jonathan Rowe, Barry Liu, and James Lester. Player Goal Recognition in Open-World Digital Games with Long Short-Term Memory Networks. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI), pp. 2590-2596, New York City, New York, 2016. Wookhee Min, Joseph Wiggins, Lydia Pezzullo, Alexandria Vail, Kristy Elizabeth Boyer, Bradford Mott, Megan Frankosky, Eric Wiebe, and James Lester.Predicting Dialogue Acts for Intelligent Virtual Agents with Multimodal Student Interaction Data. Proceedings of the Ninth International Conference on Educational Data Mining (EDM), pp. 454-459, Raleigh, North Carolina, 2016. Wookhee Min, Bradford Mott, and James Lester. Adaptive Scaffolding in an Intelligent Game-Based Learning Environment for Computer Science. Proceedings of the ITS'14 Workshop on AI-supported Education for Computer Science (AIEDCS), pp. 41-50, Honolulu, Hawaii, 2014. Wookhee Min, Eok-Soo Shim, Yeo-Jin Kim, and Yun-Gyung Cheong. Planning-Integrated Story Graph for Interactive Narratives. Proceedings of the ACM MM'08 Workshop on Story Representation, Mechanism and Context (SRMC), pp. 27-32, Vancouver, Canada, 2008. Patents Patents Issued Animation System and Methods for Generating Animation Based on Text-based Data and User Information. Wook Hee Min, Bo Gyeong Kang. Publication number: US 9665563 B2. Publication date: May 30, 2017. Normalizing Electronic Communications Using a Neural-Network Normalizer and a Neural- Network Flagger. Samuel Leeman-Munk, Wookhee Min, Bradford Mott, James Lester, James Cox. Patent number: US 9552547 B2. Date of patent: Jan 24, 2017. Web Server for Supporting Collaborative Animation Production Service and Method Thereof. Wook-hee Min, Yeo-jin Kim, Eok-soo Shim, Jin-young Kim. Patent number: US 9454284 B2. Date of patent: Sep 27, 2016. Storage Medium, Apparatus, and Method to Author and Play Interactive Content. Yeo-Jin Kim, Yun-Gyung Cheong, Eok-Soo Shim, Wook-Hee Min. Patent number: US 9268774 B2. Date of patent: Feb 23, 2016. Trusted Multi-Stakeholder Environment. Xinwen Zhang, Jean-Pierre Seifert, Wookhee Min, Onur Aciicmez. Patent number: US 8752130 B2. Date of patent: Jun 10, 2014. Patents Pending Determining Edit Operations for Normalizing Electronic Communications Using a Neural Network. Wookhee Min, Samuel Leeman-Munk, Bradford Mott, James Lester, James Cox. Publication number: US 2016/0350652 A1, Publication date: Dec 1, 2016. Digital Apparatus and Method for Providing a User Interface to Produce Contents. Hyun Ju Shim, Yong Bang Ho, Bo Gyeong Kang, Kyung Soo Kwag, Dong Hoon Kim, Wook Hee Min. Publication number: US 2011/0239147 A1. Publication date: Sep 29, 2011. Sponsor-based Advertising Apparatus and Method Using Extracted Affect. Wook Hee Min, Bo Gyeong Kang. Publication number: US 2011/0035283 A1. Publication date: Feb 10, 2011. Interactive Content Reproduction. Wook-Hee Min. Publication number: US 2010/0122300 A1. Publication date: May 13, 2010.

Job Titles:

• Member of the Faculty and Staff
• Research Scientist
• Research Scientist in the Center for Educational Informatics at North

Yeo Jin Kim is a Research Scientist in the Center for Educational Informatics at North Carolina State University. She earned a B.S. and a M.S. in Computer Science from Yonsei University in Seoul, South Korea, and conducted collaborative research on speech recognition at the Beckman Institute, University of Illinois at Urbana-Champaign during her Master's program. She worked for Samsung Electronics and Samsung Advanced Institute of Technology in South Korea for five years as a R&D staff, focusing on security and AI. She received a Ph.D. in Computer Science under the direction of Dr. Min Chi at North Carolina State University. Dr. Kim's research primarily focuses on applying machine learning and deep reinforcement learning to solve general sequential decision making problems in real-world applications. She has experience in developing AI agents in various domains such as games, healthcare, energy, and education. In particular, she leverages AI techniques to enhance human intelligence by dealing with real-world multivariate time series data, which provoke many challenges such as missing data, temporal irregularity, and partial observance. She has a great interest in developing artificial agents that think and communicate like humans, and believes that it can help people make better decisions at critical moments to maximize long-term benefits.