SEQAM – Sequence Analysis and Modeling Lab conducts research in computational modeling methods for analysis of multimodal and multivariate data, with particular focus on sequential data, such as time-series (video, audio, motion sensors), biomedical data (imaging, genomic, proteomic, etc.) We develop mathematical and statistical models and the accompanying algorithms that can rapidly process large and heterogeneous datasets and reveal the underlying, latent factors affecting the data.
Lab Members
Faculty
Vladimir Pavlovic
Professor
Computer Science
Phone: +1 (848) 445-8846
Fax: +1 (732) 445-0537
Students
Mihee Lee
Graduate student
Computer Science
Yuting Wang
Graduate Student
Computer Science
Jiatong Li
Graduate Student
Computer Science
Office: CBIM Cubic J
Behnam Gholami
Graduate Student
Computer Science
Office: CBIM
Hai Xuan Pham
Graduate Student
Computer Science
Gang Qiao
Graduate Student
Computer Science
Office: Cubic J, CBIM
Phone: +1 (848) 239-8720
Cuong Tran
Graduate Student
Computer Science
Fangda Han
Graduate Student
Computer Science
Saehoon Yi
Graduate Student
Computer Science
Alumni
