I’m a visiting scholar to CMU, and from NPU China. My research interests including: Health sensing and assessment, IoT and Smart home, Assisting Technology. Currently, I’m working on several healthcare projects related to prosthetic usage and chronic disease recognition.
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Alex Q. Chen
Alex Q. Chen: I am a Post-Doctoral Fellow at the Human-Computer Interaction Institute at Carnegie Mellon University. My research interests include User-Centred Design, Human Factors and Human Behaviour on the Web, and Web Accessibility. The focus of my research aims to improve the user experience and the accessibility of digital information for elderly and physically challenged users.
Xiang ‘Anthony’ Chen
| Xiang ‘Anthony’ Chen is faculty at UCLA. Previously, he was an Adobe Research Fellow in Human-Computer Interaction, doing his PhD in the School of Computer Science in in Carnegie Mellon University, working with Scott Hudson.
His research takes a hybrid of technical and design approach to: |
Sophie Smith
I go to school at Rhodes College in Memphis, TN. I am a rising junior there and I am majoring in Computer Science. I plan to graduate in May 2019 with a Bachelor of Science.
This summer’s mission: Completing an interface for our knitting machine that will allow the user to manipulate textures and sizing of a sweater
Lindsay Zadunayski (REU Summer 2017)
I am a junior at Rensselaer Polytechnic Institute planning to graduate in May 2019. I am pursuing a dual major in Computer Science and Mathematics in the School of Science. This summer I am participating in CRA-W’s Distributed Research Experience for Undergraduates (DREU). You can contact me at zadunl@rpi.edu
This summer I am working with Professor Jen Mankoff (CMU), Professor Kaite Siek (Indiana University), and Ujjwai Baskota(Jackson State University) to investigate online reviews for Ob/Gyns and Urologists. We are hoping to discover how they reflect the patient experience, and how satisfaction and language use change based on a variety of factors. To do so we are using Google reviews and federal datasets.
Aarudra Moudgalya
Aarudra Moudgalya is a Graduate Mechanical Engineer from CMU who’s interested in designing and manufacturing for assistive technology. His creativity is focused towards making affordable prosthetics and exoskeletons using rapid prototyping techniques. Aarudra is currently working on designing modular upper limb prostheses at the Human Computer Interaction Institute. He enjoys DIY projects, making music and doodling.
Christian Koehler
Christian Koehler is a Principal UX Data Scientist at Oracle Design. He is passionate about the intersection where Artificial Intelligence (AI) and Human Computer Interaction (HCI) meet and interested in how insights derived from users and users’ data can empower the development of AI to build human-centric technology.
He has experience in a number of different areas from Data Science, over Applied Machine learning to Survey design and interview studies. He develops deep learning algorithms and analyzes large scale data to derive descriptive and inferential statistics. He is familiar with both quantitative and qualitative methods and believes the best technology is being build with the user in mind from the ground up.
His thesis was titled “Indoor Location Prediction through Modeling of Human Spatiotemporal Behavior”
He received his PhD from Carnegie Mellon, where he was advised by Jennifer Mankoff and Anind Dey.
Tawanna Dillahunt
Tawanna Dillahunt is an Associate Professor at the University of Michigan’s School of Information (UMSI) and holds a courtesy appointment with the Electrical Engineering and Computer Science (EECS) department. Before starting as an Assistant Professor, she was a Presidential Postdoctoral Fellow in UMSI from January 2013 – July 2014. She also leads the Social Innovations Group at UMSI and her research interests are in the areas of human-computer interaction, ubiquitous computing, and social computing. She is primarily interested in identifying needs and opportunities to further explore how theories from the social sciences can be used to design technologies that have a positive impact on group and individual behavior. With the narrowing of the digital divide, the ubiquity of smart devices and mobile hotspots in common places in the U.S. (e.g., libraries, community centers, and even McDonald’s) she sees an urgent need to explore the use of these technologies for those that stand the most to gain from these resources. Therefore, she designs, builds, enhances and deploys innovative technologies that solve real-world problems, particularly in underserved communities.
Tawanna holds a M.S. and Ph.D. in Human-Computer Interaction from Carnegie Mellon University, a M.S. in Computer Science from the Oregon Graduate Institute School of Science and Engineering (now a part of the Oregon Health and Science University in Portland, OR), and a B.S. in Computer Engineering from North Carolina State University. She was also a software engineer at Intel Corporation for several years
Sunyoung Kim
Sunyoung Kim is interested in improving the quality of everyday life through the use of technology. Leveraging mobile and ubiquitous computing technologies, she explores novel technical solutions that empower people to better understand the world around them and make informed choices for quality of life. She is also an affiliate faculty member in the Department of Computer Science.
Sunyoung Kim, an HCI researcher, designs, builds, and evaluates ubiquitous computing technologies that can promote positive changes towards everyday health, wellbeing, and environmental sustainability. Before joining the Rutgers SC&I faculty, she was a postdoctoral fellow at Harvard University’s Center for Research on Computation and Society (CRCS). She was a member of Aware Home Research Initiative and the Ubiquitous Computing Research Group at Georgia Institute of Technology. Previously, she worked as a user interaction designer and project manager in the field of internet media, user interface for mobile device and Ubiquitous Appliance for Apartment Complex.
Here thesis was titled “Democratizing Mobile Technology in Support of Volunteer Activities in Data Collection.”
Julia Schwarz
Julia Schwarz builds software that leverages probabilistic modeling, signal processing, and machine learning to improve user interfaces.
She received a BS from University of Washington, and a PhD from Carnegie Mellon University, advised by Jennifer Mankoff and Scott Hudson. Here thesis was titled: “Monte Carlo Methods for Managing Uncertain User Interfaces”
While at Carnegie Mellon she co-founded Qeexo, where she led the team that developed FingerSense, currently shipping on over 300 million Huawei devices.
In 2015 she moved back home to work on the HoloLens team at Microsoft. At Microsoft, she brings instinctual interactions to HoloLens 2, allowing users to directly interact with holograms using their hands.
For more information, please see her résumé and website.
You can find her on GitHub, Twitter, StackOverflow, and LinkedIn.
