Jennifer Dy

COE Distinguished Professor,  Electrical and Computer Engineering
Professor,  Khoury College of Computer Sciences
Director of Experiential AI Postdoc Education,  Roux Institute
Director of AI Faculty,  Institute for Experiential AI

Contact

Social Media

Office

  • 515 ISEC
  • 617.373.3062

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Research Focus

Machine learning; data mining; statistical pattern recognition; computer vision and image processing

About

Dr. Jennifer G. Dy is a professor at the Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, since 2002. She obtained her MS and PhD in 1997 and 2001 respectively from the School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, and her BS degree in 1993 from the Department of Electrical Engineering, University of the Philippines. She received an NSF Career award in 2004. She is an editorial board member for the journal, Machine Learning since 2004, publications chair for the International Conference on Machine Learning in 2004, and program committee member for ICML, ACM SIGKDD, AAAI, and SIAM SDM. Her research interests include Machine Learning, Data Mining, Statistical Pattern Recognition, and Computer Vision. She is the Director of AI Faculty at the Institute for Experiential AI, a member of the Institute of Information Assurance (IIA), and a founding member of Signal Processing Imaging Reasoning and Learning (SPIRAL).

Education

  • PhD, Purdue University, 2001. Joined Northeastern in 2002.

Honors & Awards

Research Overview

Machine learning; data mining; statistical pattern recognition; computer vision and image processing

Selected Publications

  • D’Alonzo, Marissa, Bozkurt, Alican, Alessi-Fox, Christi, Gill, Melissa, Brooks, Dana H., Rajadhyaksha, Milind, Kose, Kivanc, Dy, Jennifer G. (2021). Semantic segmentation of reflectance confocal microscopy mosaics of pigmented lesions using weak labels. Scientific Reports, 11(1). 10.1038/S41598-021-82969-9
  • Hoemann, Katie, Khan, Zulqarnain, Feldman, Mallory J., Nielson, Catie, Devlin, Madeleine, Dy, Jennifer, Barrett, Lisa Feldman, Wormwood, Jolie B., Quigley, Karen S. (2021). Author Correction: Context-aware experience sampling reveals the scale of variation in affective experience. Scientific Reports, 11(1). 10.1038/S41598-021-82415-W
  • Hoemann, Katie, Khan, Zulqarnain, Kamona, Nada, Dy, Jennifer, Barrett, Lisa Feldman, Quigley, Karen S. (2021). Investigating the relationship between emotional granularity and cardiorespiratory physiological activity in daily life. Psychophysiology, 10.1111/PSYP.13818
  • Jian, Tong, Gong, Yifan, Zhan, Zheng, Shi, Runbin, Soltani, Nasim, Wang, Zifeng, Dy, Jennifer G., Chowdhury, Kaushik Roy, Wang, Yanzhi, Ioannidis, Stratis (2021). Radio Frequency Fingerprinting on the Edge. IEEE Transactions on Mobile Computing, ,1-1. 10.1109/TMC.2021.3064466
  • Kose, Kivanc, Bozkurt, Alican, Alessi-Fox, Christi, Gill, Melissa, Longo, Caterina, Pellacani, Giovanni, Dy, Jennifer G., Brooks, Dana H., Rajadhyaksha, Milind (2021). Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net). Medical Image Analysis, 67,101841. 10.1016/J.MEDIA.2020.101841
  • Lee, Sunghoon I., Adans-Dester, Catherine P., OBrien, Anne T., Black-Schaffer, Randie, Zafonte, Ross, Dy, Jennifer G., Bonato, Paolo, Vergara-Diaz, Gloria P. (2021). Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors. IEEE Transactions on Biomedical Engineering, 68(6),1871-1881. 10.1109/TBME.2020.3027853

Faculty

Jul 19, 2024

Innovating Through Artificial Intelligence

Massachusetts Gov. Maura Healey, Boston Mayor Michelle Wu, state economic development and technology leaders, and other officials visited Northeastern to learn from faculty how AI can solve some of the most pressing issues in the state and the world. CEE Distinguished Professor Auroop Ganguly, ECE/Khoury Distinguished Professor Jennifer Dy, and ECE Professor Taskin Padir were in attendance.

Faculty

Jun 10, 2024

Northeastern Researchers Participate in Inaugural ClimaTech Conference

ECE/Khoury Professor Jennifer Dy, ECE/MIE Professor Hanumant Singh, and CEE Assistant Professor Julia Hopkins took part in the inaugural ClimaTech conference, joining hundreds of energy and technology experts from around the world who gathered to explore how protecting the environment can contribute to economic growth. 

Faculty

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.

Faculty

Jan 04, 2024

Dy Elected AAAI Fellow

ECE/Khoury Professor Jennifer Dy was elected a Fellow of the Association for the Advancement of Artificial Intelligence for significant contributions to unsupervised and interpretable machine learning, advancing AI to address health-care challenges, and service to the AI community.  

Faculty

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.

Faculty

Jan 25, 2023

The Dependencies Between El Niño and River Flow

Research conducted by ECE Professor Jennifer Dy and CEE Professor Auroop Ganguly on “Explainable Deep Learning for Insights in El Niño and River Flows” was published in Nature.

Alumni

Nov 04, 2022

Insect Population Decline To Effect Pollination

Kate Duffy, PhD’21, interdisciplinary engineering, has been studying the effect of climate change on insect populations and their important role in our ecosystem. Her research was published in Nature Climate Change.

Faculty

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.

Faculty

Sep 26, 2022

Impact Engines Spur Multidisciplinary Research Innovation To Solve Global Challenges

Northeastern University has selected its first cohort of Impact Engines to ignite measurable change in problem-solving, three of the five of which are led by engineering faculty.

Faculty

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 […]

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