About

SEQAM РSequence 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
Office: CBIM 006
Phone: +1 (848) 445-8846
Fax: +1 (732) 445-0537
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Students

Mihee Lee
Graduate student
Computer Science
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Behnam Gholami
Graduate Student
Computer Science
Office: CBIM
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Hai Xuan Pham
Graduate Student
Computer Science
Office: CBIM
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Gang Qiao
Graduate Student
Computer Science
Office: Cubic J, CBIM
Phone: +1 (848) 239-8720
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Cuong Tran
Graduate Student
Computer Science
Fangda Han
Graduate Student
Computer Science
Office: CBIM Cubic I
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Saehoon Yi
Graduate Student
Computer Science
Yuting Wang
Graduate Student
Computer Science
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Alumni

Xiaoye Han
Pai-Hsi Huang
Rui Huang
Minyoung Kim
Kooksang Moon
Pavel Kuksa
Wang Yan
Andre Cohen
Jongpil Kim
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Sejong Yoon
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