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I am an Assistant Professor in the Department of Computer Science at the
University of Massachusetts (UMass) Lowell, and an Adjunct Assistant Professor in the Department of Biomedical Informatics at Harvard University.
I joined UMass Lowell after completing Postdoctoral fellowships at Harvard University (Zaklab) and
the University of Maryland (CLIP lab).
I received my Ph.D. in Computer Science from the National University of Singapore (NGS, LMS) and
my M.Eng. in Electrical and Computer Engineering from the University of Tehran (DBRG).
More information can be found in my CV.
I direct the Computational Language Understanding (CLU) Lab at UMass Lowell. At CLU, we conduct computational research to tackle some of the key problems in natural language processing (NLP) and healthcare. Prospective students can see this page for current research opportunities.
I organized the CS department's Fall 2020 and Spring 2021 colloquium series. Details can be found here.
My research centers on NLP and its application in healthcare. The current problems of interest include semantic representation, learning with spurious and imbalanced data, curriculum learning, and AI-based diagnosis. My selected publications are listed below, see the complete list here:
Machine Learning of Patient Characteristics to Predict Admission Outcomes in the Undiagnosed Diseases Network
Hadi Amiri, Issac S. Kohane. In the Journal of the American Medical Association (JAMA). 2021.
Neural Self-Training through Spaced Repetition
Hadi Amiri. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL’19).
Serial Recall Effects in Neural Language Modeling
Hassan Hajipoor, Hadi Amiri, Maseud Rahgozar, Farhad Oroumchian. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL’19).
Spotting Spurious Data with Neural Networks
Hadi Amiri, et al. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL’18).
Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks
Hadi Amiri, et al. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP’17).
Target-dependent Churn Classification in Microblogs
Hadi Amiri, Hal Daumé III. In Proceedings of the Twenty-Ninth Conference on Artificial Intelligence (AAAI’15).
Emerging Topic Detection for Organizations from Microblogs
Chen Yan, Hadi Amiri, Zhojun Li, Tat-Seng Chua. In Proceedings of ACM SIGIR conference on research and development in Information Retrieval (SIGIR’13).
Mining Slang and Urban Opinion Words and Phrases from cQA Services: An Optimization Approach
Hadi Amiri, Tat-Seng Chua. In Proceedings of the Fifth ACM International Conference on Web Search and Data Mining (WSDM’12).
One University Avenue, 334 Dandeneau Hall, Lowell, MA 01854
+1 (978) 934 3612