Sidd Srinivasa

Headshot of Siddhartha Srinivasa

siddhartha_srinivasa_6Siddhartha Srinivasa is the Finmeccanica Associate Professor at The
Robotics Institute at Carnegie Mellon University. He works on robotic
manipulation, with the goal of enabling robots to perform complex
manipulation tasks under uncertainty and clutter, with and around
people. To this end, he founded and directs the Personal Robotics Lab,
and co-directs the Manipulation Lab. He has been a PI on the Quality
of Life Technologies NSF ERC, DARPA ARM-S and the CMU CHIMP team on

Sidd is also passionate about building end-to-end systems (HERB, ADA, HRP3, CHIMP, Andy, among others) that integrate perception, planning, and control in the real world. Understanding the interplay between system components has helped produce state of the art algorithms for object recognition and pose estimation (MOPED), and dense 3D modeling (CHISEL, now used by Google Project Tango).
Sidd received a B.Tech in Mechanical Engineering from the Indian Institute of Technology Madras in 1999, an MS in 2001 and a PhD in 2005 from the Robotics Institute at Carnegie Mellon University. He
played badminton and tennis for IIT Madras, captained the CMU squash team, and likes to run ultra marathons.

Amy Hurst (co-advised with Scott Hudson)

Head shot of Amy Hurst

AmyHurst 8858 smallAmy Hurst is an Associate Professor of Human-Centered Computing ( in the Information Systems department at the University of Maryland Baltimore County (UMBC). She is a member of the Interactive Systems Research Center ( and runs the Prototyping and Design Lab (  Amy is an accessibility researcher who is interested in understanding the relationships between technology and empowerment. She is actively studying the DIY / Maker movement and the opportunities for digital fabrication in assistive technology, therapy, and special education.

Dan Ashbrook

I am an Assistant Professor in the Department of Information Sciences and Technologies and the Department of Computer Science of the Golisano College of Computing and Information Sciences at the Rochester Institute of Technology in Rochester, New York.My research is in the area of human-computer interaction, where I concentrate on new interaction techniques, devices, and applications. Historically I have concentrated on wearable and mobile computing, with the goal of allowing people to be less focused on their technology and more engaged with the world, while still reaping the creativity and productivity benefits of their devices. My current research continues this thread while adding a second focus on helping non-experts more easily understand and use personal fabrication technology such as 3D printers, laser cutters, and CNC routers.

More information can be found on my website at

Jennifer Mankoff

Research | Students | Teaching | Bio | CV | Advice | Fun | Contact


My work focuses on assistive technologies for access, health and wellness, and takes a multifaceted approach that includes machine learning, 3D printing, and tool building. At a high level, my goal is to tackle the technical challenges necessary for everyday individuals and communities to solve real-world problems (see all the Make4all projects).

Some of my most recent projects:

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Current PhD students:

Yasaman Sefidgar; Megan Hofmann (co-advised with Scott Hudson); Mark Baldwin (co-advised with Gillian Hayes)

Former PhD Students:

Nikola Banovic (co-advised with Anind Dey); Christian Koehler; Sunyoung Kim; Scott Carter; Tara Matthews; Julia SchwarzTawanna Dillahunt; Amy Hurst; and Kirstin Early.

I love to work with undergraduate and masters students and have mentored more than I can count. My mentorship always tries to include career advice as well as project advice, whether students are going on to research or not. Many undergraduate students I advised have gone on to careers in research, however, including some current faculty (Julie Kientz, Gary Hsieh, Ruth Wylie). There are at least 50 other students who are alumni of my group who are not currently listed on this page but who all made important contributions to my work over the years. Some current mentees:

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Recent Alumni I mentored/advised:

Additional alumni can be found on the People page.


I love to teach, and have put significant time into curriculum development over the years.

  • I am currently developing a new course on data centric computing, called The Data Pipeline. The course is accessible to novice programmers and includes a series of tutorials that can support independent online learning.
  • I helped to redesign the HCI Masters course User Centered Research and Evaluation, specifically bringing a real world focus to our skills teaching around contextual inquiry
  • I developed an online course specifically for folks who want to know enough program to be able to prototype simple interfaces (targeted at our incoming masters students). The course is available free online at CMU’s Open Learning Initiative under “Media Programming”
  • I developed and taught the Environment and Society course over the last five years. This was a project oriented course that took a very multifaceted look at the role of technology in solving environmental problems.
  • I helped to develop a reading course that is required for our PhD students to ensure that they have depth in technical HCI: CS Mini
  • Assistive Technology: I developed and taught one of the first Assistive Technology courses in the country (specifically from an HCI perspective), and I used a service learning model to do so. Original class
  • I have helped to revamp Process and Theory over the years, a skills course intended for our first year PhD students.


My Bachelor’s of Arts was done at Oberlin College, where I was a member of two great societies — FOO and ACM. I received my Ph.D. as a member of the Future Computing Environments research group in the College of Computing at Georgia Tech , Gregory Abowd and Scott Hudson were my advisors. I then spent three formative years at UC Berkeley as an Assistant Professor working with the I/O group and 12 years at CMU before joining the faculty of the University of Washington. My “Academic genealogy” on the Abowd side.

Bio:  Jennifer Mankoff is the Richard E. Ladner Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. Her research focuses on assistive technologies for equal access, health and wellness, and takes a multifaceted approach that includes machine learning, 3D printing, and tool building.  Jennifer applies a human-centered approach that combines empirical methods and technical innovation. For example, she has designed 3D-printed assistive technologies for people with disabilities.

Jennifer received her PhD at Georgia Tech, advised by Gregory Abowd and Scott Hudson, and her B.A. from Oberlin College. Her previous faculty positions include UC Berkeley’s EECS department and Carnegie Mellon’s HCI Institute. Jennifer has been recognized with an Alfred P. Sloan Fellowship, IBM Faculty Fellowship and Best Paper awards from ASSETS, CHI and Mobile HCI. Some supporters of her research include Autodesk, Google Inc., the Intel Corporation, IBM, Hewlett-Packard, Microsoft Corporation and the National Science Foundation.

Other Thoughts and Links

Best conference experience ever: The CHI2009 Straggler’s Seder

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Things I love (below)


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Picture of my children, Kavi and Elena Artwork I’ve done
lupa-small My Husband, Anind

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My Viola My Husband My dogs: Demi, Nugget, Gryffin

Contact Information

Jennifer Mankoff
jmankoff [at]
Paul G. Allen School of Computer Science & Engineering
University of Washington
Paul G. Allen Center
185 Stevens Way
Campus Box 352350
Seattle, WA 98195

Scott Hudson

Scott Hudson is a Professor in theHuman-Computer Interaction Institutewithin the School of Computer Science atCarnegie Mellon University where he serves as the founding director of the HCII PhD program. He was previously an Associate Professor in the College of Computing at the Georgia Institute of Technology and prior to that an Assistant Professor of Computer Science at theUniversity of Arizona. He earned his Ph.D. in Computer Science at the University of Colorado in 1986.

Elected to the CHI Academy in 2006, he has published over 150 technical papers. He has regularly served on program committees for the SIGCHIand UIST conferences, served as papers co-chair for CHI ’09, and again for CHI ’10. He has previously served as Program Chair for UIST ’90 and UIST ’00, as well as Symposium Chair for UIST ’93 and the founding UIST Doctoral Symposium chair from 2003 to 2005. He also served as a founding Associate Editor for ACM Transactions on Computer Human Interaction. His recent research funding has been from the National Science Foundation, Microsoft, and Disney Research.


Some recent projects (see more)

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You can find out more about Scott’s research here and teaching here.

Jon Schull

Research Scientist, RIT MAGIC Center  (

Jon Schull helped to found E-Nable ( As described in this MSNBC article, he is known for “building a community of volunteers who design, create and donate prosthetic hands made with 3-D printers; and for creating an online platform that connects those volunteers with individuals who need the hands. Schull is a research scientist at Rochester Institute of Technology’s Center for Media, Arts, Games, Interaction and Creativity – also known as the MAGIC Center – and the founder of e-Nable and president of the e-Nabling The Future Foundation.”


Jodi Forlizzi

Jodi Forlizzi is a Professor of Human-Computer Interaction in the School of Computer Science at Carnegie Mellon University and a co-founder of, a healthcare startup. Her research ranges from understanding the limits of human attention to understanding how products and services evoke social behavior. She designs and researches systems ranging from peripheral displays to social and assistive robots. Her current research interests include designing educational games that are engaging and effective, designing services that adapt to people’s needs, and designing for healthcare. Jodi is a member of the ACM CHI Academy and has been honored by the Walter Reed Army Medical Center for excellence in HRI design research. Jodi has consulted with Disney and General Motors to create innovative product-service systems.

Burak Kara

Professor Kara’s research develops new computational techniques and software to support product design and user interaction with design tools. His research interests include CAD/CAE, product design and styling, geometric modeling, shape analysis, design for additive manufacturing, user interfaces for design, pen computing and artificial intelligence. While founded in mechanical engineering, his research draws upon several related disciplines including computer graphics, machine learning and human-computer interaction.

One of Professor Kara’s recent research projects involves developing a sketch-based 3D geometric modeling tool. This work aims to help designers construct, modify, and fluidly interact with 3D geometry through a 2D sketch-based interface. The techniques enable a rapid creation and manipulation of 3D shapes, and are particularly effective for concept development and styling design. Other ongoing projects include shape abstraction, study of aesthetic product forms, design for additive manufacturing, free-form surface feature modeling, data-driven shape design and engineering design and analysis from image-based representations.

Example: Semantic Shape Editing

Stelian Coros

I am an Assistant Professor in the Robotics Institute at Carnegie Mellon University. I received my PhD in Computer Science from theUniversity of British Columbia. My doctoral dissertation was awarded the Alain Fournier Ph.D. Dissertation Annual Award. Prior to joining CMU’s faculty, I was a Research Scientist working in the Disney Research Zurich lab. I am interested in a variety of research topics that include control strategies for virtual actors and robots, motion planning algorithms, physics-based modeling and simulation, computational design and digital fabrication. For my work in these areas, I was the recipient of an Intel Early Career Faculty Award. TedXZurich and Robotics Institute Seminar talks I gave are available online.

I am looking for motivated students and postdocs with strong mathematical backgrounds and a passion for computer graphics and/or robotics.

Jeff Bigham

jbighamMy research spans HCI, accessibility, crowdsourcing, human computation, artificial intelligence, social computing, computer vision, machine learning, and language technologies.

Currently, I am focused on four broad projects:

  • Transitioning crowd-powered systems to automation. I’m working on integrating speech and language technology into Chorus; automatic speech recognition into Scribe; and, automatic computer vision into VizWiz and Zensors.
  • Creating a more accessible Web with WebAnywhere, and by crowdsourcing accessibility improvements to existing web content.
  • Working to understand dyslexia using human-computer interaction measures, creating tools that help people with dyslexia read and write better, and eventually building tools to diagnose dyslexia earlier and easier.
  • Creating a brighter future for crowd workers through education and training. I’m working to design tasks that leverage the expertise that crowd workers already have, and tasks that allow workers to build useful skills while they work.