MCADS Lab

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Mathematical, Computational and Applied Data Science Lab is a research lab in the College of Computer and Information Science at the Northeastern University, led by Dr. Ehsan Elhamifar. Our research includes 1) development of mathematical and computational techniques to model and analyze complex problems involving massive and heterogenous high-dimensional data, 2) design of robust, efficient and scalable algorithms to perform learning, inference and decision making on big data using developed mathematical models, and 3) application of our methodologies and techniques to solve challenging real-world problems in computer vision, robotics and other areas. Current research in the lab includes Big Data summarization, procedure learning from instructional video data, high-rank matrix completion, large-scale object and activity recognition with small or no labeled data and active learning in visual data. For more information about our research activities, please visit Research and Publications pages.



Research Team

 Lab Director
Ehsan Elhamifar
 Ehsan Elhamifar
 Graduate Students
Dat Huynh
 Dat Huynh
Agapi Rissaki
Agapi Rissaki
Chengguang Xu
Chengguang Xu
Xiongyi Zhang
Xiongyi Zhang
Zwe Nain
Zwe Naing


Former Members

  • Yugang Wang, Visiting PhD, University of Electronic Science and Technology in China, 2016 – 2017

  • Karthik Viswanathan, MS in Computer Science, 2017 — 2018

  • Haiyi Mao, MS in Computer Science, 2016

  • Guandong Liu, Computer Science Undergraduate Intern, 2018




Sponsors


  • Research in MCADS Lab is supported by the following organizations.


ONR DARPA ARO NSF