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Jelena Notaros

Assistant Professor of Electrical Engineering and Computer Science


Research Interests:

Silicon Photonics for LiDAR Sensing, AR Displays, Optical Communications, Quantum Engineering, and Biophotonics

Jelena Notaros is an Assistant Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, a Principal Investigator in the MIT Research Laboratory of Electronics, and a Core Faculty Member of the MIT Microsystems Technology Laboratories. She received her Ph.D. and M.S. degrees from the Massachusetts Institute of Technology in 2020 and 2017, respectively, and B.S. degree from the University of Colorado Boulder in 2015. Her research interests are in integrated silicon photonics devices, systems, and applications, with an emphasis on augmented-reality displays, LiDAR sensing for autonomous vehicles, free-space optical communications, quantum engineering, and biophotonics.

Jelena's work has been published in Nature, OSA, IEEE, and SPIE journals and conference proceedings. She was one of three Top DARPA Risers, a 2018 DARPA D60 Plenary Speaker, a 2021 Forbes 30 Under 30 Listee, an MIT Presidential Fellow, a National Science Foundation Graduate Research Fellow, a 2018 MIT EECS Rising Star, and an AIM Photonics Academy Supporting Instructor. Jelena was an invited speaker at 2022 OSA OFC, 2020 SPIE Photonics West, 2019 OSA CLEO, 2020 OSA FiO, 2019 OSA IPR, 2020 OSA NETWORKS, 2021 OSA AIO, and 2019 IEEE Photonics North. She was the recipient of the 2020 MIT RLE Early Career Development Award, 2019 OSA CLEO Chair's Pick Award, 2014 IEEE Region 5 Student Paper Competition Award, 2019 MIT MARC Best Overall Paper Award and Best Pitch Award, 2018 and 2014 OSA Incubic Milton Chang Student Travel Grant, 2014 Sigma Xi Undergraduate Research Award, 2015 CU Boulder Chancellor's Recognition Award, 2015 CU Boulder College of Engineering Outstanding Graduate for Academic Achievement Award, and 2015 CU Boulder Electrical Engineering Distinguished Senior Award.

Research Clusters:


Google Scholar:


Automation, Control and Artificial Intelligence

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