NRT PhD Trainees—2020-2021
Cohort starting in 2020-2021
Frank Cwitkowitz
Frank is an electrical engineering PhD student working with Dr. Zhiyao Duan in the Audio Information Research (AIR) lab at the University of Rochester. His research interests span music information retrieval, music signal processing, and machine learning. His work focuses heavily on the problem of automatic music transcription.
Research interests: Frank joined the AR/VR PhD training program with the hope to work on applications involving audio-visual music entertainment and music education.
Google Scholar Website: Frank Cwitkowitz
Jeremy Goodsell
Jeremy completed his BS in applied physics at Brigham Young University in 2017. While there, he worked with Dr. Daniel Smalley on holographic and volumetric display technology.
Research interests: Since beginning his PhD in optics at the University of Rochester, he is most involved with studying the application of freeform surfaces and meta-gratings to the field of augmented and virtual reality (AR/VR).
LinkedIn Site: Jeremy Goodsell
Narges Mohammadi
Narges came to the University of Rochester in 2018, and is a PhD student in the Signal, Data, and Imaging Science Lab (SDIS), in the Department of Electrical and Computer Engineering.
Research interests: Narges' research is focused on computational imaging, low-level computer vision, optimization, and statistical signal processing tools for AI. Narges is currently working on developing constrained optimization algorithms composed of AI and physical models that solve challenging inverse problems including global image restoration tasks (like image reconstruction) and local ones (including image deconvolution, super-resolution, deblurring).
Website: Narges Mohammadi website
Eleni Patelaki - Graduated May 2023
Eleni received her PhD in biomedical engineering at the University of Rochester in May, 2023. She worked in the lab of Professor Edward Freedman. She holds a BSc and MSc in electrical and computer engineering from the National Technical University of Athens and an MSc in biomedical engineering from the University of Rochester.
Research interests: Her work aims to un-mask Parkinson’s disease risk by systematically loading cognitive and motoric neural circuits, utilizing the Mobile Brain-Body Imaging modality.
Thesis Defense: "Utilizing Mobile Brain-Body Imaging (MoBI) to identify biomarkers of cognitive load, aging and Parkinson’s Disease"
Eleni Patelaki's research works at ResearchGate.net
LinkedIn Site: Eleni Patelaki
Shadi Sartipi
Shadi received her BSc and MSc in electrical engineering (communication systems) both from Urmia University, Urmia, Iran, in 2015 and 2018, respectively. She joined the PhD program at the University of Rochester in September 2018.
Research interests: Shadi's research interests include VR/AR, brain-computer interfaces (BCIs), statistical and biomedical signal processing, affective computing, and machine learning.
Google Scholar Website: Shadi Sartipi
Yuxiang Wang
Yuxiang is a PhD student in electrical and computer engineering at the University of Rochester.
Research interests: Yuxiang's interests include spatial audio, HRTF and auditory models. Yuxiang has always been very interested in the topics of study in virtual auditory display. Yuxiang feels that the fast-growing ARVR industry has enhanced his study in this field with more possibilities.
Google Scholar Website: Yuxiang Wang
You (Neil) Zhang
Neil is a PhD student in the Audio Information Research (AIR) Lab in the Department of Electrical and Computer Engineering at the University of Rochester. He received his bachelor’s degree in Automation from University of Electronic Science and Technology of China (UESTC) in 2019. In his free time, he enjoys movies, badminton and traveling.
Research interests: Neil is interested in machine learning and its applications in speech processing, such as voice spoofing detection, audio-visual understanding, spatial audio, etc.
Google Scholar Website: You (Neil) Zhang