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12 May 2021

SimulaMet research highlighted by Henrik Asheim

Background

PhD in Computer Science
Rensselaer Polytechnic Institute (Troy, NY)
August 2003 – May 2008
MS in Computer Science
Rensselaer Polytechnic Institute (Troy, NY)
August 2003 – December 2006
BS in Computer Engineering
Bogazici University (Istanbul, Turkey)
September 1999 – July 2003

Appointments

Associate Editor
SIAM Journal on Matrix Analysis and Applications
January 2019
Associate Editor
IEEE Transactions on Signal Processing
October 2019 – April 2022

Awards

Sapere Aude Young Elite Researcher
The Danish Council for Independent Research
February 2012

Students under supervision

Find publication

Status

Departments

Publication type

Year published

Export 15 results:
2023

Talks, invited

E. A. Ataman

Extracting Insights from Complex Data: Constrained Multimodal Data Mining using Coupled Matrix and Tensor Factorizations

In IPAM Workshop on Explainable AI for the Sciences: Towards Novel Insights, 2023.
Status: Published
E. A. Ataman

Constrained Multimodal Data Mining using Coupled Matrix and Tensor Factorizations

In Acceleration and Extrapolation Methods, ICERM, Brown University, 2023.
Status: Published
2022

Talks, invited

E. A. Ataman

Constrained Multimodal Data Mining

In BigInsight Seminar, University of Oslo, Norway, 2022.
Status: Published
E. A. Ataman

Extracting Insights from Complex Data: Data Mining using Tensor Factorizations

In SILS (Swammerdam Institute for Life Sciences) Data Science Symposium, University of Amsterdam, Netherlands, 2022.
Status: Published
C. Schenker, M. Roald, X. Wang, J. E. Cohen and E. A. Ataman

Constrained Multi-Modal Data Mining Using Coupled Matrix and Tensor Factorizations

In SIAM Conference on Mathematics of Data Science, 2022.
Status: Published
2021

Talks, invited

E. A. Ataman

From Data Mining using Tensor Factorizations to Multimodal Data Mining using Coupled Matrix/Tensor Factorizations

In Nordic Probabilistic AI School (virtual), 2021.
Status: Published
C. Schenker, J. Cohen and E. A. Ataman

An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization

In SIAM Conference on Applied Linear Algebra (LA21), 2021.
Status: Published
C. Schenker, J. E. Cohen and E. A. Ataman

A Flexible Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorizations based on the Alternating Direction Method of Multipliers

In Europt21, 18th Workshop on Advances in Continuous Optimization, 2021.
Status: Published
2020

Talks, invited

E. A. Ataman

Multi Modal Data Mining using Coupled Matrix/Tensor Factorizations

In Tufts University - TRIPODS Seminar (virtual), 2020.
Status: Published
2019

Talks, invited

E. A. Ataman

Unraveling Biomarkers through Multi-Modal Data Fusion

In IEEE ISMICT (International Symposium on Medical Information and Communication Technology), Oslo, Norway, 2019.
Status: Published