Jennifer Dy

Professor,  Electrical and Computer Engineering
Director of Experiential AI Postdoc Education,  Roux Institute


Social Media


  • 515 ISEC
  • 617.373.3062

Related Links

Research Focus

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


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.


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

Honors & Awards

  • NSF CAREER Award

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
abstract photo of women doctor pointing to tablet with medical imagery around it


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 […]

student works on wireless rack in data center


Apr 16, 2021

Silevitch to Direct New AI Jumpstart Program

ECE Professor Michael Silevitch will lead a new Massachusetts program, AI Jumpstart, to connect small business owners in the state with academic faculty experts to learn how machine learning can grow their companies. Northeastern received a $2.2 million state grant that will be used primarily for high-speed computer equipment and also to provide for faculty consultants, both of which will be available to selected companies to get the pilot effort up and running. Northeastern kicked in an additional $2 million, raising the program’s total value to more than $4 million.

student sitting at table smiling


Mar 02, 2021

The ‘Triple Husky’ Experience

Sarah Brown is a true Northeastern success story: a ‘triple Husky’ who earned her bachelor’s in electrical engineering, E’11, master’s in electrical and computer engineering, ME’14, and a doctorate in electrical engineering, PhD’16. After completing her doctorate, she was awarded the University of California at Berkeley Chancellor’s Postdoctoral Fellowship and served as a postdoctoral research […]

Setareh Ariafar

Spotlight Story

Oct 02, 2020

PhD Spotlight: Setareh Ariafar, PhD’20 – Electrical Engineering

Advised by College of Engineering Professors Jennifer Dy and Dana Brooks, Electrical and Computer Engineering Setareh Ariafar joined the Machine Learning Lab and the Bio-Medical Imaging and Signal Processing Lab to pursue her doctoral studies at Northeastern University in 2015, after finishing her master’s degree from Boston University, and a BS and MS from the […]

Stratis Ioannidis with Jennifer Dy and Deniz Erdoğmuş


Jul 28, 2020

ECE Team Wins Facebook Research Award

ECE Associate Professor Stratis Ioannidis is leading a team with Professors Jennifer Dy and Deniz Erdoğmuş, that won a highly competitive Facebook Research Award with their project “Learning from Comparisons”.

photo of Akram Alshawabkeh outside


Mar 23, 2020

PROTECT Research Center: Continuing a Bold Mission for Environmental Health

This week, the PROTECT multidisciplinary and multi-institutional research center, led by Akram Alshawabkeh, Director of PROTECT, and Snell Professor of Engineering and Senior Associate Dean for Research and Graduate Education, was awarded a five-year $10.7 million grant from the National Institutes of Health to continue and expand its work. This next phase of PROTECT research will include the study of an additional 1,000 pregnant women and look at a mixture of chemicals beyond the initial two suspect chemical classes.

abstract cybersecurity graphic

Mar 12, 2020

Cybersecurity: Your Secrets Are Safe With Us

Northeastern researchers are at the forefront of cybersecurity research, protecting everything from the phone in your pocket to the city of the future.

three students show their framed awards


Nov 12, 2019

ECE Team Wins Best Paper Award at IEEE DySPAN 2019

ECE PostDoc Andrey Gritsenko, Computer Engineering PhDs Zifeng Wang, Tong Jian, Professor Jennifer Dy, Associate Professor Kaushik Chowdhury, and Assistant Professor Stratis Ioannidis received the best paper award at the IEEE DySPAN 2019 conference for their paper on “Finding a ‘New’ Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning”.

Stratis Ioannidis, Jennifer Dy, Tommaso Melodia, Kaushik Chowdhury, and Yanzhi Wang


Sep 19, 2019

Ioannidis to Lead $1M NSF Grant for Real-Time Learning for Next Generation Wireless Systems

ECE Assistant Professor Stratis Ioannidis is leading a $1M NSF grant, with Professors Jennifer Dy, Tommaso Melodia, Associate Professor Kaushik Chowdhury, and Assistant Professor Yanzhi Wang, to develop “Efficient and Adaptive Real-Time Learning for Next Generation Wireless Systems”.


Sep 17, 2018

$1.5M Wireless/Machine Learning DARPA Award for Device Fingerprinting

ECE Professor Kaushik Chowdhury is leading an interdisciplinary COE team leveraging a $1.5 million DARPA grant to identify device-specific radio signals on a massive scale.

View All Related News