Jennifer Dy

Professor at Northeastern University

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COE Distinguished Professor, ECE Department


Director of AI Faculty, Institute for Experiential AI


Northeastern University


jdy (at) ece (dot) neu (dot) edu

Jennifer G. Dy is a COE Distinguished Professor at the Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, where she first joined the faculty in 2002. She received her M.S. and Ph.D. in 1997 and 2001 respectively from the School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, and her B.S. degree from the Department of Electrical Engineering, University of the Philippines, in 1993.

Her research spans both foundations in machine learning and its application to biomedical imaging, health, science and engineering, with research contributions in unsupervised learning, interpretable models, explainable AI, continual learning, dimensionality reduction, feature selection/sparse methods, learning from uncertain experts, active learning, Bayesian models, and deep representation learning. She is Director of AI Faculty at the Institute for Experiential AI, Director of the Machine Learning Lab and is a founding faculty member of the SPIRAL (Signal Processing, Imaging, Reasoning, and Learning) Center at Northeastern.

She received an NSF Career award in 2004. She has served or is serving as Secretary for the ICML Board (formerly, International Machine Learning Society), associate editor/editorial board member for the Journal of Machine Learning Research, Machine Learning journal, IEEE Transactions on Pattern Analysis and Machine Intelligence, organizing and or technical program committee member for premier conferences in machine learning, AI, and data mining (ICML, NeurIPS, ACM SIGKDD, AAAI, IJCAI, UAI, AISTATS, ICLR, SIAM SDM), Program Chair for SIAM SDM 2013, ICML 2018, AISTATS 2023, and AAAI 2024.

NEWS

Aug 5, 2024 I’m happy to announce that two of our papers, Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions and Boundary-Aware Uncertainty for Feature Attribution Explainers were accepted into AISTATS (2024).
Feb 4, 2024 I am glad to have received the COE Distinguished Faculty Award at Northeastern University.
Jan 4, 2024 I am honored to have been elected a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI).
Sep 21, 2023 I’m happy to announce that our paper SmoothHess was accepted into NeurIPS (2023).

SELECTED PUBLICATIONS

2024

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    Davin Hill, Aria Masoomi, Max Torop, Sandesh Ghimire, and Jennifer Dy
    In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, 02–04 may 2024
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    Zulqarnain Q Khan, Davin Hill, Aria Masoomi, Joshua T Bone, and Jennifer Dy
    In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, 02–04 may 2024

2023

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    Max Torop, Aria Masoomi, Davin Hill, Kivanç Köse, Stratis Ioannidis, and Jennifer G. Dy
    In Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 02–04 may 2023
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    Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, and Jennifer G. Dy
    In International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 02–04 may 2023

2022

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    Chieh Tzu Wu, Aria Masoomi, Arthur Gretton, and Jennifer G. Dy
    In International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event, 02–04 may 2022
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    Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, and Tomas Pfister
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 02–04 may 2022
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    Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P. Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, and Jennifer G. Dy
    In The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 02–04 may 2022
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    Yumin Liu, Kate Duffy, Jennifer G. Dy, and Auroop R. Ganguly
    CoRR, 02–04 may 2022

2021

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    Kivanç Köse, Alican Bozkurt, Christi Alessi-Fox, Melissa Gill, Caterina Longo, Giovanni Pellacani, Jennifer G. Dy, Dana H. Brooks, and Milind Rajadhyaksha
    Medical Image Anal., 02–04 may 2021
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    Sandesh Ghimire, Aria Masoomi, and Jennifer G. Dy
    In Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 02–04 may 2021

2020

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    Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik R. Chowdhury, Stratis Ioannidis, and Jennifer G. Dy
    In 20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020, 02–04 may 2020
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    Aria Masoomi, Chieh Wu, Tingting Zhao, Zifeng Wang, Peter J. Castaldi, and Jennifer G. Dy
    In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 02–04 may 2020

CURRENT STUDENTS



Masih Eskandar


Prudence Lam


Aria Masoomi


Elifnur Sunger


Fatemeh Tohidian

PAST STUDENTS


Zifeng Wang
Google
Zulqarnain Khan
Experiential AI
Yumin Liu
Amazon
Ilkay Yildiz
BioSensics
Chieh Wu
Northeastern Univ.
Setareh Ariafar
Google Brain
Alican Bozkurt
Paige AI
Junxiang Chen
UPitt Postdoc
Yale Chang
Phillips Research
Uri Peer
MIT Lincoln Labratory
Sarah Brown
Univ. Rhode Island
Jamshid Sourati
DePaul Univ.
Sindhu Ghanta
AIClub
James Ross
Harvard Medical School
Jing Fan
Humana
Yan Yan
TikTok
Donglin Niu
ByteDance
Shyamal Patel
ŌURA
Yue Guan
Tremor Video
Sila Kurugol
Boston Children’s Hospital
Ying Cui
Apple
Ting Su
Mathworks