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d.erdogmus@northeastern.edu

Profile

Biography

Deniz Erdogmus graduated with B.S. in Electrical & Electronics Engineering (EEE), and the B.S. in Mathematics in 1997, and M.S. in EEE in 1999 from the Middle East Technical University, Ankara, Turkey. He received his Ph.D. in Electrical & Computer Engineering from the University of Florida in 2002, where he stayed as a postdoctoral research associate until 2004. Prior to joining the Northeastern faculty in 2008, he held an Assistant Professor position at the Oregon Health and Science University. His expertise is in information theoretic and nonparametric machine learning and adaptive signal processing, specifically focusing on cognitive signal processing including brain interfaces and assistive technologies. Deniz has been serving as an associate editor IEEE Transactions on Signal Processing, Transactions on Neural Networks, Signal Processing Letters, and Elsevier Neurocomputing. He is a member of the IEEE-SPS Machine Learning for Signal Processing Technical Committee.

Education

  • PhD, University of Florida, 2002. Joined Northeastern in 2008.

Research & Scholarship Interests

Brain computer interfaces, cognitive and interactive systems, nonlinear and statistical signal processing, information theory, machine learning
Affiliated With

Department Research Areas

College Research Initiatives

Honors & Awards

  • 2014 COE Faculty Fellow
  • 2014 Søren Buus Outstanding Research Award, College of Engineering
  • 2012 National Science Foundation CAREER Award

Selected Publications

  • B.S. Oken, U. Orhan, B. Roark, D. Erdogmus, A. Fowler, A. Mooney, B. Peters, M. Miller, M. Fried Oken, BrainComputer Interface with Language ModelEEG Fusion for Lockedin Syndrome, Neurorehabilitation and Neural Repair, 28(4), 2014, 387-394
  • A. Fowler, B. Roark, U. Orhan, D. Erdogmus, M. Fried-Oken, Improved Inference and Autotyping in EEGbased BCI Typing Systems, ASSETS 2013, Bellevue, WA, Oct 2013
  • H. Nezamfar, U. Orhan, S. Purwar, K. Hild, B. Oken, D. Erdogmus, Decoding of Multichannel EEG Activity from the Visual Cortex in Response to Pseudorandom Binary Sequences of Visual Stimuli, International Journal of Imaging Systems and Technology, 21(2), 2011, 139-147
  • Y. Huang, D. Erdogmus, M. Pavel, S. Mathan, K.E. Hild II, A Framework for Rapid Visual Image Search using Singletrial Brain Evoked Responses, Neurocomputing, 74, 2011, 2041-2051
  • D. Erdogmus, BCI: A Timely Opportunity for Projectbased Learning, National Academy of Engineering Frontiers in Engineering Education Workshop, Irvine, California, Dec 2010
See Google Scholar Profile for all publications »

Related News

May 24, 2017

ECE Associate Professor Deniz Erdogmus and PhD students Matt Higger & Fernando Quivira won 1st place at the 2017 RESNA Student Research & Design Competition for their project called Shuffle...

May 5, 2017

ECE PhD students Matt Higger and Fernando Quivira have won first place in the RESNA Student R&D Competition with their project, Shuffle Speller: User-Adaptive Spelling. This system was primarily...

October 27, 2016

ECE Associate Professors Denis Erdogmus and Yingzi Lin were each awarded $50K NSF I-Corps grants, which allow for the commercialization of technology previously supported by NSF.

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