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

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

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