People
Laboratory Director
Tyler Bell, Ph.D.
Assistant Professor
Electrical and Computer Engineering
Faculty Cluster Member
Public Digital Arts
Research Affiliate
Center for Bioinformatics and Computational Biology
Education
Ph.D., Computer Engineering, Purdue University, 2018
M.S., Human Computer Interaction, Iowa State University, 2014
B.S., Computer Science, Iowa State University, 2012
Short Bio
Tyler Bell is an Assistant Professor of Electrical and Computer Engineering at the University of Iowa. He leads the Holo Reality Lab and is a faculty member of the Public Digital Arts (PDA) cluster. Tyler received his B.S. and M.S. degrees from Iowa State University (2012, 2014), where he received a Research Excellence Award, and he received his Ph.D. from Purdue University (2018). Tyler's research has been featured in numerous public media articles and was an Innovation of the Year finalist at the 2018 TechPoint Mira Awards.
Tyler's current research interests include high-quality 3D video communications; high-speed, high-resolution 3D imaging; virtual reality and augmented reality; human computer interaction; 3D data and 3D video compression; and multimedia on mobile devices.
Links
Graduate Students
Stephen Siemonsma
Ph.D. Graduate Research Assistant
Ph.D. Student, Electrical and Computer Engineering
Vedansh Airen
Graduate Research Assistant
Master’s Student, Computer Science
Harshal Lele
Graduate Research Assistant
Master’s Student, Computer Science
Undergraduate Students
McKenzie Kroll
Undergraduate Research Assistant
Undergraduate Student (Senior), Industrial Engineering
Addie Schroeder
Undergraduate Research Assistant
Undergraduate Student (Senior), Computer Science and Engineering
Alumni
Broderick S. Schwartz, Ph.D.
Ph.D. in Electrical and Computer Engineering, 2023.
Broderick S. Schwartz is a research associate at the University of Iowa and continues working in the Holo Reality Lab. Broderick earned his M.S. and Ph.D. in Electrical and Computer Engineering in 2021 and 2023, respectively. He earned his B.S., with distinction, in Mechanical Engineering from Purdue University in 2019. He enjoys working to solve complex problems that make use of his varied experience and require dynamic learning. Cyber-physical systems hold special interest for him as they provide both breadth of application and specificity of focus. A midwest native, Broderick is a casual outdoorsman who enjoys mountain biking, trail running, and anything with a frisbee. When the weather is good you may find him in his hammock in an out-of-the-way spot near the river reading a novel or history.
Joseph Boyer, M.S.
M.S. in Electrical and Computer Engineering, 2022
Matthew G. Finley, Ph.D.
Ph.D. in Electrical and Computer Engineering, 2021.
Matthew G. Finley is a Postdoctoral Research Associate with the University of Maryland and works in the Geospace Physics Lab at NASA GSFC. Finley received his Ph.D. from the University of Iowa (2021) in Electrical and Computer Engineering. His doctoral research involved the utilization of image and signal processing techniques to develop novel data-driven compression algorithms for 3D range data. Following graduation, he began work as a Postdoctoral Research Scholar in the Miles Research Group at the University of Iowa's Department of Physics and Astronomy. There, he served as the instrument lead for a hybrid search coil/fluxgate magnetometer (CHIMERA, launched in Nov. 2022 on the ACES-II sounding rockets) and developed interference mitigation techniques for in-situ magnetic field measurements from spacecraft such as Swarm-Echo and Parker Solar Probe. Matt can often be found covered in hair from his 100-lb Great Pyrenees (Bailey) and his 8-lb cat (Marvin).
Bingdi “Didi” Yang
Undergraduate Research Assistant
Undergraduate Student (Junior), Computer Science and Engineering
Jacob Y. Nishimura
B.S. in Electrical and Computer Engineering
Jacob Y. Nishimura received his B.S. degree in Electrical and Computer Engineering and his B.A. degree in Music at the University of Iowa. Jacob’s current research interests include applied deep learning and signal and image processing.
