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Suren Jayasuriya is an assistant professor at Arizona State University, in the School of Arts, Media and Engineering (AME) and Electrical, Computer and Energy Engineering (ECEE). Before this, he was a postdoctoral fellow at the Robotics Institute at Carnegie Mellon University. Suren received his Ph.D. in ECE at Cornell University in Jan 2017 and graduated from the University of Pittsburgh in 2012 with a B.S. in Mathematics (with departmental honors) and a B.A. in Philosophy.

His research interests range from computational cameras, computer vision and graphics, machine learning, sensors, engineering education, and philosophy. In his spare time, he enjoys playing and listening to jazz, reading/discussing philosophy, and traveling.

Contact: sjayasur "at" asu.edu

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Yifei Liu is a 1st year PhD student at Arizona State University, in the School of Electrical, Computer and Energy Engineering (ECEE). Yifei received his MS degree in ECE at New Mexico State University in May 2016 and graduated from the Harbin Institute of Technology in 2012 with a B.S. in Control System and Engineering. His research interests are in computer architecture/systems, and embedded computer vision. 

Contact: yliu740 "at" asu.edu

 

Albert Reed is a 1st year PhD student at Arizona State University, in the School of Electrical, Computer and Energy Engineering (ECEE). Albert received his BS degree in Electrical Engineering at the New Mexico Institute of Mining and Technology in May 2018. His research interests are in machine learning and image/signal processing.

Contact: awreed "at" asu.edu

 

Sreenithy Chandran is a MS student at Arizona State University, in the School of Electrical, Computer and Energy Engineering (ECEE). Her research interests are in computer vision and machine learning, particularly light transport and non-line-of-sight (NLOS) imaging.

Contact: schand56 "at" asu.edu

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John Janiczek is a MS student at Arizona State University in the school of Electrical, Computer and Energy Engineering (ECEE). John received his BS in Electrical Engineering from the University of Colorado in 2016. Prior to starting his MS, John worked as an engineer at the Laboratory for Atmospheric and Space Physics in Boulder, Colorado.
 

His research interests span remote sensing, spectroscopy, spectral unmixing, audio processing, and machine learning. While pursuing his MS, John also works as a system engineer at Dr. Philip Christensen's Instrument Development Laboratory. In his spare time, John enjoys writing music, and tinkering in his recording studio.

Contact: jjjanicz "at" asu.edu