Current PhD Students
Chang Ye
Home page
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 and inverse problems on graphs.
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.
Hamed Ajorlou
Home page
Email: hajorlou@ur.rochester.edu
Office: Computer Studies Building 701
Hamed received his B.Sc. degree in Electrical Engineering from Sharif University of Technology, Tehran, Iran, in 2023. He joined the Ph.D. program at the University of Rochester in September 2023. His research interests include Graph Signal Processing, Representation Learning and Information Theory.
Undergraduate Researchers
Jonathan Vazquez
Email: jvazqu15@u.rochester.edu
Office: Computer Studies Building 701
Jonathan is an undergraduate student at California State University-Fresno working towards a Bachelor’s degree in Electrical Engineering. He is currently working in the lab as part of the 2023 NSF summer research program. His future interests are in the field of robotics or circuit design for different purposes of spacecrafts and satellites.
Pedro Gracias
Home page
Email: pgracias@ur.rochester.edu
Office: Computer Studies Building 701
Pedro is an undergraduate student majoring in Biomedical Engineering at the University of Florida (expected May 2023). Pedro's is working in the lab during the summer of 2022 as part of the NSF research program.
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 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. Since graduating in May 2020, Shingie has been a Software Engineer with Goldman Sachs.
PhD Theses Supervised
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. Yang defended his Ph.D. thesis in June 2022 and is currently an Applied Scientist at Amazon.
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
