Deniz Erdogmus
COE Distinguished Professor,
Electrical and Computer Engineering
Affiliated Faculty,
Bioengineering
Contact
- erdogmus@ece.northeastern.edu
- 360 Huntington Avenue
Boston, Massachusetts 02115
Social Media
Office
- 521 ISEC
- 617.373.3021
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. He is Chief Technology Officer at the Kostas Research Institute at Northeastern.
Education
- PhD, University of Florida, 2002. Joined Northeastern in 2008.
Honors & Awards
- 2024 Distinguished Faculty Award
- 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.
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
- Cognitive Distributed Sensing in Congested Radio Frequency Environments
- – Principal Investigator, U.S. Army Research Laboratory
- 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)
- Kostas Research Institute (Chief Technology Officer)
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
Jan 31, 2025
2024 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% 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 those who published a paper in 2024 or later.
Dec 23, 2024
Offering Insights into Increased Drone Presence
ECE Distinguished Professor Deniz Erdogmus suggests that the increase in mysterious drone sightings across the country could be the result of private companies operating more drones to test the limits of the technology.
Feb 01, 2024
Faculty and Staff Awards 2024
The College of Engineering recognized faculty and staff at the annual faculty and staff awards event and thanked everyone for their hard work and dedication in support of our students, college, and university during the 2023-2024 academic year. View award recipients and photo gallery.
Dec 07, 2023
2023 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% 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.
May 24, 2023
Kostas Research Institute Receives $13M U.S. Army Contract for Wireless Research
The Kostas Research Institute (KRI) at Northeastern University has been awarded $13 million by the U.S. Army Research Laboratory for foundational research into Cognitive Distributed Sensing in Congested Radio Frequency Environments. KRI and five partner institutions will conduct innovative research to enable technologies in distributed machine learning, signal processing algorithms, and computational, sensing, and communication hardware infrastructure for distributed sensing and communication.
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
A group of COE professors are among the top scientists worldwide selected by Stanford University representing the top 2% 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.
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 […]
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.