Dan Szafir

Lab Director

Dr. Daniel Szafir is an Assistant Professor in the Department of Computer Science and the ATLAS Institute at the University of Colorado, Boulder. He holds a courtesy appointment in the CU Department of Information Science and is an affiliate of the CU Research and Engineering Center for Unmanned Vehicles (RECUV), the Institute of Cognitive Science (ICS), the Center for Neuroscience, and the Culture, Language, and Social Practice (CLASP) program. Dr. Szafir’s research interests, which span the fields of human-robot interaction (HRI) and human-computer interaction (HCI), involve exploring how emerging interactive technologies, such as small aerial robots, wearable devices, and immersive virtual environments, may be designed to provide new forms of assistance to users in domains including collaborative work, education, and space exploration. He completed his Ph.D. in Computer Science at the University of Wisconsin–Madison in 2015 and was named to the Forbes 30 Under 30: Science list in 2017. Dr. Szafir’s work been featured in a variety of media outlets, including New Scientist, Engadget, and Discovery News, and his research collaborators and sponsors have included NASA, the National Science Foundation, Google, Intel, and Mitsubishi Heavy Industries.

Madhur Atreya

PhD Student

Madhur is a first-year Ph.D. student in the ATLAS Institute. He received his B.S. and M.S. in mechanical engineering from UT Austin and the University of Southern California, respectively. He has 5 years of industry experience in manufacturing and design, working with clients ranging from GE Aviation to Harley-Davidson. Madhur is interested in researching a wide variety of topics in the fields of manufacturing/design, human spaceflight, and energy systems. Currently he is looking into design for repair and shopfloor robotics.

Darren Guinness

PhD Student

Darren is a second-year year Ph.D. student working with Dan Szafir and Shaun Kane on a project which focuses on using robotics in interaction. Darren’s focus is on creating alternative input and output techniques and systems which support these techniques for users who are unable use traditional methods.

Hooman Hedayati

PhD Student

Hooman is a first-year Ph.D. student in the Department of Computer Science. His research interests are Human-Robot Interaction, Machine Learning, and Robotics. He is currently studying the interaction between the flying robots and humans.

Michael Iuzzolino

PhD Student

Michael is a first-year Ph.D. student in the Department of Computer Science. He is interested in the field of deep reinforcement learning and its applications to human-robot interactions, as well as the visualization of neural networks. Drawing from his background in neuroscience, molecular biology, and mathematics, his goal is to develop novel methods for addressing the challenges in creating seamless human-robot interactions. His current research focus is on developing a visualization tool that will enable users to readily assess differences amongst neural network algorithms.

Bryan Bo Cao

MS Student

Bryan is a second-year Master’s student in the Department of Computer Science. His research interests include making robots more accessible and assistive to human beings in their social lives and developing intuitive multi-modal interactions between humans and robots. Currently he is working on a project investigating gestures and robot movements.

Dan Prendergast

MS Student

Dan is a second-year Master’s student in Mechanical Engineering. He received a B.S. in Aeronautical Engineering from the U.S. Naval Academy and a M.A. in International Relations from American Military University. Dan spent 9 years in the Marine Corps as a helicopter pilot and forward air controller. After leaving active duty, he spent 4 years as a systems engineer working on the Ground Control Station for Predator/Reaper unmanned aircraft at General Atomics - Aeronautical Systems, Inc. Finally, he managed contractor aviation operations overseas for the U.S. Army before returning to full time study at CU Boulder in 2016. Dan is interested in autonomous planning/execution, artificial intelligence, and human-robot teams. Currently he is investigating hierarchical task network (HTN) planning for teams of multiple homogeneous robots. He was recently married, and Dan and his wife just celebrated the birth of a baby girl.

Rohit Raje

MS Student

Rohit is a second-year Master’s student in the Department of Computer Science. He specializes in Machine Learning, Deep Learning, Artificial Intelligence and Robotics. His current project, 3D Reconstruction from Sensors of Opportunity, primarily focuses on advanced Computer Vision, Computer and Robot Perception, and Robotics.

Michael Walker

MS Student

Michael is a first-year CS Master’s student with an interest in Augmented & Virtual Reality, Robotics, and Artificial Intelligence. He received his B.S. in Business Administration and B.S. in Computer Science from University of Washington, Seattle and Oregon State University. In his spare time, he has been training his Golden Retriever puppy who will join him on his weekly hikes around the Boulder area and Rocky Mountain National Park.

Meri Burgess

Undergraduate Student

Meri Burgess is currently a junior in the Department of Computer Science. She combines her diverse background in classical animation and circus movement with computer science to focus in on human activity recognition problems. Her most recent project, Graphic Impulse, combined pole dancing with live, interactive projections determined by a motion detection application she wrote.

Catherine Diaz

Undergraduate Student

Catherine is currently an undergraduate in her 3rd year in the Department of Computer Science. She is interested in graphics and computer vision and their application to Augmented Reality.

Jordan Peters

BS/MS Student

Jordan is a fourth year BS/MS student in the Department of Computer Science. Jordan is interested a variety of topics, including Human-Robot Interaction and Augmented & Virtual Reality Currently. Currently, he is looking into shopfloor robotics.