Aritra Dutta is a Postdoctoral Research Fellow at the Extreme Computing Research Center (ECRC) in King Abdullah University of Science and Technology (KAUST), working with Professor Panagiotis Kalnis in his research group. Prior to that, he was a Postdoctoral Research Fellow in the Optimization and Machine Learning group of Professor Peter Richtárik.

Education and Early Career

Aritra Dutta received his bachelor degree in Mathematics (Hons.), Minor in Physics and Statistics from Presidency College in Calcutta University. He obtained a master degree in Mathematics and Computing from Indian Institute of Technology in Dhanbad. Later on, he obtained a master degree and his Ph.D. in Mathematics from the University of Central Florida in the USA under the supervision of Prof. Xin Li and Prof. Qiyu Sun.

Research Interest

Dutta main research interest lies in Convex Optimization, Applications in Dimensionality Reduction of Big Data, Image and Video Analysis for Machine Learning Applications, Deep Learning, Weighted and Structured Low-Rank Matrix Approximation and Compressive Sensing.

Honors and Awards

During his studying years, Aritra Dutta has been awarded several times on his work. He received the IMA Travel Award for Math Modeling in Industry Workshop for the periods August 2014 and August 2015. Also, he was awarded the Mathematics department’s conference registration and travel award for the years January 2015, November 2015, September 2016 and January 2017. Moreover, he won the SAMSI Optimization Summer School travel award for the periods August 2016 and September 2016.

During his time in University of Central Florida (UCF), he received the Student Government Association’s conference registration and travel award for both years 2014 and 2016. He received the Graduate Research Assistantship in 2016 from Center for Research in Computer Vision (CRCV) at the University of Central Florida (UCF), and he was selected as one of 15 student recipients of UCF’s Graduate Dean’s Dissertation Completion Fellowship. He was honored the Professor Lee H. Armstrong Award for Distinguished Teachers from the Department of Mathematics at UCF.

In 2018, he received the IMA Travel Grant for Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins Workshop, March 2018

Education Profile

  • Ph.D. in Mathematics, University of Central Florida, USA.
  • M.S. in Mathematics, University of Central Florida, USA.
  • M.S. in Mathematics and Computing, Indian Institute of Technology, Dhanbad.
  • B.S. in Mathematics (Hons.), Minor in Physics and Statistics, Presidency College, Calcutta University.

Professional Memberships

  • American Mathematical Society (AMS) - Graduate student member.
  • SIAM - Graduate student member.
  • CVF- Computer Vision Foundation.

Awards and Distinctions

  • IMA Travel Grant for Integrating Machine Learning and Predictive Simulation: From Uncertainty Quantification to Digital Twins Workshop, March 2018.
  • Professor Lee H. Armstrong Award for Distinguished Teachers, Department of Mathematics, UCF, 2017.
  • Outstanding Dissertation Award, Department of Mathematics, UCF, 2016.
  • Graduate Research Assistantship, fall 2016, Center for Research in Computer Vision (CRCV), University of Central Florida (UCF).
  • SAMSI Optimization Summer School travel award, August 2016, September 2016.
  • Mathematics department’s conference registration and travel award, January 2015, November 2015, September 2016, January 2017.
  • IMA Travel Award for Math Modeling in Industry Workshop, August 2014 and August 2015.
  • Student Government Association’s conference registration and travel award, University of Central Florida, August 2014, August 2016.

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Selected Publications

Dutta, A., Li, X., Richtarik, P. (2018). Weighted Low-Rank Approximation of Matrices and Background Modeling, (Preprint). https://hdl.handle.net/10754/627614
Dutta, A., Richtarik, P. (2017). Online and Batch Supervised Background Estimation via L1 Regression, (Preprint). https://hdl.handle.net/10754/626534
Dutta, A., Li, X., Richtarik, P. (2017). A Batch-Incremental Video Background Estimation Model using Weighted Low-Rank Approximation of Matrices, (Preprint). https://hdl.handle.net/10754/626999
Millikan, B., Dutta, A., Sun, Q., & Foroosh, H. (2017). Fast Detection of Compressively Sensed IR Targets Using Stochastically Trained Least Squares and Compressed Quadratic Correlation Filters. IEEE Transactions on Aerospace and Electronic Systems, 53(5), 2449–2461. doi:10.1109/taes.2017.2700598