Deniz Erdogmus
Professor, Electrical and Computer Engineering
Affiliated Faculty, Bioengineering
Office
- 521 ISEC
- 617.373.3021
Related Links
Research Focus
Statistical signal and image analysis, machine learning, neural interfaces, biomedical data analysis, human-intent inference for CPS
About
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.
Honors & Awards
- 2014 COE Faculty Fellow
- 2014 Søren Buus Outstanding Research Award, College of Engineering
- 2012 National Science Foundation CAREER Award
Research Overview
Statistical signal and image analysis, machine learning, neural interfaces, biomedical data analysis, human-intent inference for CPS
Deniz Erdogmus conducts research in statistical signal/image analysis and machine learning, with applications to human-in-the-loop cyber-physical systems, brain/body-computer interfaces, biomedical image analysis, robotics, communications, control, and neuroscience.
Cognitive Systems Lab
CSL performs research at the intersection of signal processing, machine learning, and their applications to contemporary problems in biological sciences and biomedical engineering. Currently, our research focuses on brain computer interface design for assistive technologies and human machine interaction, image processing and target tracking for radiation therapy, and image segmentation for basic neuroscience research.
Center for Signal Processing, Imaging, Reasoning, and Learning Lab
The Center for Signal Processing, Imaging, Reasoning, and Learning (SPIRAL) is a federation of labs in the Electrical and Computer Engineering Department of Northeastern University. The lab comprises 8 faculty and more than 30 graduate students and postdocs, working in diverse research areas such as statistical signal processing, machine learning, distributed computing, and optimization.
Selected Research Projects
- The Brain Basis of Emotion: A Category Construction Problem
- Co-Principal Investigator, National Science Foundation
- Coordination of Dyadic Object Handover for Human- Robot Interaction
- – Co-Principal Investigator, National Science Foundation
- Mining for Mechanistic Information to Predict Protein Function
- – Co-Principal Investigator, National Science Foundation
- Multimodal Signal Analysis and Data Fusion for Post- traumatic Epilepsy Prediction
- – Co-Principal Investigator, National Institutes of Health
- Probabilistic Learning with Less Labeling
- – Co-Principal Investigator, Defense Advanced Research Projects Agency
- Signal Processing in Neural Networks for Wireless IoT
- – Principal Investigator, Defense Advanced Research Projects Agency
Research Centers and Institutes
- Center for SPIRAL (Member)
- Institute for Experiential Robotics (Associate Director)
Department Research Areas
Selected Publications
- V. Yildiz, P. Tian, I. Yildiz, J.M. Brown, J. Kalpathy-Cramer, J. Dy, S. Ioannidis, D. Erdogmus, S. Ostmo, S.J. Kim, R.V.P. Chan, J.P. Campbell, M.F. Chiang, Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach, Translational Vision Science and Technology, 9(2), 2020, 10
- I. Yildiz, P. Tian, J. Dy, D. Erdogmus, J. Brown, J. Kalpathy- Cramer, S. Ostmo, J.P. Campbell, M.F. Chiang, S. Ioannidis Classification and Comparison Via Neural Networks, Neural Networks, 118, 2019, 65-80
- M. Han, S.Y. Gunay, G. Schirner, T. Padir, D. Erdogmus, HANDS: A Multimodal Dataset for Modeling Toward Human Grasp Intent Inference in Prosthetic Hands, Intelligent Service Robotics, 13, 2019, 179–185
- M.S. Goodwin, C.A. Mazefsky, S. Ioannidis, D. Erdogmus, M. Siegel, Predicting Aggression to Others in Youth with Autism Using Wearable Biosensor, Autism Research, 12(8), 1286-1296, 2019
Feb 02, 2023
2023 Acorn Innovation Awards
ECE Assistant Professor Sarah Ostadabbas, Professor Deniz Erdogmus, and MIE Associate Professor Yi Zheng received MassVentures Acorn Innovation Awards to assist them in testing the viability of their technologies and potentially bringing their research to market.
Nov 02, 2022
2022 Stanford University Annual Assessment of Author Citations
The following COE professors are among the top scientists worldwide selected by Stanford University representing the top 2 percent of the most-cited scientists with single-year impact in various disciplines. The selection is based on the top 100,000 by c-score (with and without self-citations) or a percentile rank of 2% or above. The list below includes […]
Jul 07, 2022
ECE PhD Students Win PETRA Best Student Paper Award
ECE PhD student Kyle Lockwood and coauthors received the best student paper award at PETRA 2022 (Corfu, Greece), with their paper titled “Leveraging Submovements for Prediction and Trajectory Planning for Human-Robot Handover”.
Dec 23, 2021
COE Professors Selected in Stanford University List of Top 2% Scientists Worldwide
The following COE professors are among the top scientists worldwide selected by Stanford University representing the top 2 percent of the most-cited scientists with single-year impact in various disciplines. The selection is based on the top 100,000 by c-score (with and without self-citations) or a percentile rank of 2% or above. The list below includes […]
Nov 22, 2021
Collaborative Work Between Cognitive Systems Laboratory and MERL Wins at NeurIPS 2021 BEETL Competition
Khoury computer science student Niklas Smedemark-Margulies, PhD’23, and his advisor ECE Professor Deniz Erdogmus were part of the Mitsubishi Electric Research Laboratories (MERL) Signal Processing team that placed first in the cross-subject transfer learning task and fourth place overall at the NeurIPS 2021 BEETL AI Challenge for EEG Transfer Learning.
Aug 05, 2021
Cutting-Edge Transcranial Magnetic Stimulator
BioE/ECE Affiliated Faculty Eugene Tunik, ECE Professor Deniz Erdogmus, ECE Research Professor Dana Brooks, and COS Professor Susan Whitfield-Gabrieli were awarded a $400K NSF MRI grant for the “Acquisition of a controllable pulse transcranial magnetic stimulator with robotic positioning and integrated EEG / EMG for engineering and neuroscience research and education.”
Jun 07, 2021
Summer 2021 PEAK Experiences Awardees
Congratulations to the COE student recipients of the Summer 2021 PEAK Experiences Awards. The PEAK Experiences Awards are a progressively structured sequence of opportunities designed to support learners as they continue climbing to new heights of achievement in undergraduate research and creative endeavor throughout their Northeastern journeys. BASE CAMP AWARDS Ana Salichs, E’22, “Colorimetric Assays […]
May 11, 2021
Just What the Doctor Ordered
Human beings are some of the most complex systems in the world, and responses to illness, disease, and impairments manifest in countless different ways. When it comes to making sure that your system stays up and running, healthcare professionals typically have their own deep well of knowledge—but the addition of artificial intelligence tools offers unprecedented […]
Mar 30, 2021
Two COE Students Awarded Goldwater Scholarships
Cameron Young, E’22, chemical engineering and biochemistry, and Spencer Lake Jacobs-Skolik, E’22, electrical engineering, were awarded the prestigious Barry Goldwater Scholarship, the United States’ premier award for outstanding young researchers in STEM fields.
Feb 25, 2021
Improving Flood Monitoring Methods
ECE Assistant Professor Pau Closas, Professor Deniz Erdogmus, CEE Professor Edward Beighley, and ECE Postdoc Tales Imbiriba were awarded a $98K grant from the National Geographic Society’s Committee for Research and Exploration for “Spaceborne Multispectral Image Fusion for Water Mapping and Flood Management”.