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

Profile_Picture_Pritish
Pritish Sahu
Graduate Student
Computer Science
Office: CBIM
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Jiatong Li
Graduate Student
Computer Science
Office: CBIM Cubic J
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Yuting Wang
Graduate Student
Computer Science
Office: CBIM
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Mihee Lee
Graduate student
Computer Science
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Fangda Han
PhD candidate
Computer Science
Office: CBIM
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GANG QIAO
Computer Science
Phone: 8482398720
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Behnam Gholami
Graduate Student
Computer Science
Office: CBIM
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Alumni

Xiaoye Han
Wang Yan
Pavel Kuksa
Kooksang Moon
Minyoung Kim
Rui Huang
Pai-Hsi Huang
Andre Cohen
Sejong Yoon
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Jongpil Kim
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Saehoon Yi
Graduate Student
Computer Science
Cuong Tran
Graduate Student
Computer Science
Hai Xuan Pham
Graduate Student
Computer Science
Office: CBIM
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