Current PhD Students

Chang Ye

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Email: cye7@ur.rochester.edu
Office: Computer Studies Building 701

Chang received a B.Sc. degree in Physics from Sun-yat sen University, Guangdong, China, in 2014, and a M.Sc. degree in Electrical and Computer Engineering from the University of Rochester in 2016. He joined the Ph.D. program at the University of Rochester in January 2017. His current research focuses on large-scale optimization and machine learning with applications to health informatics.

Yang Li

Home page
Email: yli131@ur.rochester.edu
Office: Computer Studies Building 701

Yang received a B.Sc. degree in Electrical Engineering (Automation) from Tianjin University, Tianjin, China, in 2013, and a M.Sc. degree in Electrical and Computer Engineering from the University of Rochester in 2016. He joined the Ph.D. program at the University of Rochester in January 2017. During the 2013 academic year, Yang carried out research at Tianjing University in data analysis for magnetic sensor signals. Yang is currently working on brain graph analytics, and in particular he is exploring graph signal processing tools for neuroimaging (fMRI) data analysis.

Max Wasserman

Home page
Email: mwasser6@ur.rochester.edu
Office: Computer Studies Building 701

Max received his B.S.E. degree in Mechanical Engineering and Applied Sciences from the University of Pennsylvania in 2015. After graduation he worked in UPenn's GRASP performing research on autonomous vehicles under Dr. Daniel Lee. He then joined the Ph.D. program (Computer Science) at the University of Rochester in August 2018. His research interests include graph learning and statistical properties of signals on graphs.

Seyed Saman Saboksayr

Home page
Email: ssaboksa@ur.rochester.edu
Office: Computer Studies Building 701

Saman received his B.Sc. degree in Electrical and Computer Engineering from Babol Noshirvani University of Technology, Babol, Iran, in 2015, and his M.Sc. degree in Electrical Engineering from the Sharif University of Technology, Tehran, Iran, in 2018. He joined the Ph.D. program at the University of Rochester in September 2018. His research interests include graph signal processing, deep learning, optimization, and high-dimensional data analysis.

Bernardo Marenco

Home page
Email: bmarenco@fing.edu.uy
Office: IMERL, Facultad de Ingenieria, Universidad de la Republica

Bernardo received his B.Sc. degree in Electrical Engineering from Universidad de la Republica, Montevideo, Uruguay, and a MS degree in Applied Mathematics from UdelaR, in 2019, before joining the Ph.D. program in Mathematics at PEDECIBA-UDELAR, in 2020. Bernardo is co-advised by Prof. Paola Bermolen. His research interests include network modeling and theory, graph representation learning, and online change-point detection for network streams.

Undergraduate Researchers

Shingirai Dhoro

Home page
Email: sdhoro@u.rochester.edu
Office: Computer Studies Building 701

Shingie is an undergraduate student majoring in Electrical and Computer Engineering (expected May 2020) at the University of Rochester. He graduated with an International Baccalaureate Bilingual Diploma from Waterford Kamhlaba United World College in Swaziland. Shingie's previous research was in image processing where he experimented on and develop a decoding framework for channel-wise color barcodes.

Alumni

Rasoul Shafipour

Home page
Email: rshafipo@ece.rochester.edu
Office: Computer Studies Building 701

Rasoul received his B.Sc. degree in Electrical Engineering (Communication Systems) from Sharif University of Technology, Tehran, Iran, in 2015, before joining the Ph.D. program at the University of Rochester in August 2015. He also received a M.Sc. degree in Electrical and Computer Engineering from the University of Rochester in 2016. His research interests include signal processing on graphs, big data analytics, machine learning and optimization. Rasoul defended his Ph.D. thesis in March 2020 and is currently a Data & Applied Scientist II at Microsoft.

Group Pictures

Rasoul's PhD Thesis defense
Rasoul's PhD Thesis defense - March 2020.
Group dinner at Good Luck
Group dinner at Good Luck - July 2019.