Sadid Hasan
Philips Research North America
Cambridge, Massachusetts
E-mail: sadid.hasan@philips.com
"The questions are always more important than the answers."
- Randy Pausch, The Last Lecture
Sadid Hasan @ Philips Research
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I am a Senior Scientist at the Artificial Intelligence Laboratory in Philips Research North America, Cambridge, Massachusetts. My research interests span a wide range of topics in the areas of Computational Linguistics, Natural Language Processing (NLP), Artificial Intelligence, and Machine Learning. I currently focus on solving problems related to Clinical Question Answering, Paraphrase Generation, and Medical Image Caption Generation using Deep Learning.

Before joining Philips, I was a Post Doctoral Fellow at the Department of Mathematics and Computer Science, University of Lethbridge, Canada. I obtained my PhD. in May, 2013 in Computer Science (with a focus in Computational Linguistics, Natural Language Processing, and Machine Learning) at the University of Lethbridge. My PhD. dissertation was entitled "Complex Question Answering: Minimizing the Gaps and Beyond". My doctoral committee members were: Yllias Chali, Dragomir Radev, Guy Lapalme, Sajjad Zahir, Kevin Grant, and Howard Cheng.

Recent News:
- (Jul, 2017) Ranked First in ImageCLEF 2017 Medical Image Caption Generation Task.
- (Jul, 2017) Paper on "Diagnostic Inferencing with Deep Reinforcement Learning" accepted in MLHC 2017.
- (Jul, 2017) Paper on "Medical Concept Normalization" accepted in ICHI 2017.
- (Feb, 2017) Paper on "Improving Diagnosis Inference with Knowledge" accepted in SENSE 2017. (Best Paper Nominee)
- (Feb, 2017) Paper on "Word Embedding Models for Biomedical NLP Tasks" accepted in IJCNN 2017.
- (Feb, 2017) Attended the biggest ever AAAI: AAAI-2017 Conference in San Francisco Bay, California.
- (Jan, 2017) Invited Speaker at the 2017 Smart Data Conference, San Francisco Bay, California.
- (Dec, 2016) Paper on "Adverse Drug Event Detection in Tweets" accepted in WWW 2017.
- (Dec, 2016) Attended the biggest ever COLING: COLING-2016 Conference in Osaka, Japan.
- (Nov, 2016) Gave a talk on clinical question answering at the NIST TREC-2016 Conference.
- (Nov, 2016) Paper on "Condensed Memory Networks for Clinical Diagnostic Inferencing" accepted in AAAI 2017.
- (Oct, 2016) Paper on "Neural Clinical Paraphrase Generation" published in the Clinical NLP Workshop at COLING 2016.
- (Sep, 2016) Paper on "Neural Paraphrase Generation" published in COLING 2016.
- (Aug, 2016) Paper on "Translation of UMLS Ontologies from European to Brazilian Portuguese" accepted in CBIS 2016.
- (May, 2016) Attended Yoshua Bengio's talk at Twitter Boston.
- (May, 2016) Invited talk on "Complex Question Answering" at Brandeis University.
- (Aug, 2015) Paper on semantic search published in MEDINFO-2015.
- (May, 2015) Philips Research Collaborates with MIT.
- (Mar, 2015) Paper on question generation published in Computational Linguistics.
- (Feb, 2015) Paper on reinforcement learning published in Information Processing and Management.
- (Oct, 2014) Paper on reinforcement learning published in EMNLP-2014.

Selected Academic Services:
- Program Committee Member/Reviewer for IJCNLP-2017, NIPS-2017, ACL-2017, AMIA-2017, MEDINFO-2017, AISTATS-2017, ClinicalNLP-2016, NIPS-2016, NAACL-2016, AMIA-2016, AMIA-2015, MEDINFO-2015, IEEE Transactions on Knowledge and Data Engineering, Computer Speech and Language, Artificial Intelligence Review, Journal of Artificial Intelligence Research.
- Problem Author for the North American Computational Linguistics Olympiad (NACLO-2017).