Sadid Hasan
Philips Research North America
Cambridge, Massachusetts
E-mail: sadidhasan@gmail.com
"The questions are always more important than the answers."
- Randy Pausch, The Last Lecture
Sadid Hasan
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I am a Senior Scientist and Technical Lead of the Artificial Intelligence Group at Philips Research North America, Cambridge, MA. My research interests span a wide range of topics in the areas of Computational Linguistics, Natural Language Processing (NLP), Artificial Intelligence, and Machine Learning. My recent work includes addressing problems related to Clinical Information Extraction, Clinical Question Answering, Natural Language Inference, 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, from where I also obtained my PhD. in Computer Science (with a focus in Computational Linguistics, Natural Language Processing, and Machine Learning) in 2013. 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:
- (Oct, 2019) Invited Speaker at the AIWorld Conference & Expo, 2019, Boston, MA.
- (Oct, 2019) Keynote Panelist: AI Adoption In Healthcare at the Global AI Conference, 2019, Boston, MA.
- (Oct, 2019) Invited Speaker at the Global AI Conference, 2019, Boston, MA.
- (Sep, 2019) Received NeurIPS-2019 Top Reviewer Award.
- (Sep, 2019) Invited Speaker at the Open Data Science Conference (ODSC) Meetup, 2019, Boston, MA.
- (Aug, 2019) Invited Speaker at the MinneBos Data Science Conference, 2019, Boston, MA.
- (Jun, 2019) Featured Talk at the RE.WORK Deep Learning in Healthcare Summit, 2019, Boston, MA.
- (May, 2019) Invited Speaker at the RE.WORK Deep Learning in Healthcare Summit, 2019, Boston, MA.
- (Apr, 2019) Paper on "Portuguese Clinical Word Embeddings" accepted in MedInfo-2019.
- (Apr, 2019) Paper on "ImageCLEF 2019 Tasks and Applications" accepted in ECIR-2019.
- (Mar, 2019) Invited Talk at LCP, MIT.
- (Jan, 2019) Selected as a Member of the
MIT Technology Review Global Panel.
- (Jan, 2019) Organizing the 2nd edition of the
Medical Domain Visual Question Answering challenge, Lugano, Switzerland.
- (Nov, 2018) Paper on "Radiology Report Classification" accepted in Artificial Intelligence in Medicine Journal.
- (Oct, 2018) Paper on "Disease Name Recognition" accepted in AMIA Informatics Summit, 2019.
- (Oct, 2018) Interview with RE.WORK TV at the Deep Learning in Healthcare Summit, 2018, Boston, MA.
- (Oct, 2018) Featured Talk at the RE.WORK Deep Learning in Healthcare Summit, 2018, Boston, MA.
- (Jun, 2018) Book Chapter on "Clinical NLP" accepted in Springer book: "Data Science for Healthcare".
- (Jun, 2018) Invited Speaker at the Boston Data Science Conference, 2018.
- (Jun, 2018) Paper on "Clinical Paraphrase Generation" accepted in KDH-2018@IJCAI-ECAI.
- (Jun, 2018) Paper on "Medical Image Caption Generation" accepted in CLEF-2018.
- (May, 2018) Invited Speaker at the Deep Learning in Healthcare Summit, 2018, Boston, MA.
- (May, 2018) Invited Speaker at the Open Data Science Conference (ODSC) 2018, Boston, MA.
- (Mar, 2018) Received Quora 2018 Top Writer Award.
- (Mar, 2018) Invited Speaker at the AI&ML-101, 2018, Boston, MA.
- (Mar, 2018) Organized the 1st edition of the Medical Domain Visual Question Answering challenge, Avignon, France.
- (Mar, 2018) Organized KDHD-2018 Workshop at IJCAI-ECAI-2018, Stockholm, Sweden.
- (Feb, 2018) Paper on "Natural Language Inference" accepted in NAACL-2018.
- (Feb, 2018) Serving as an Area Chair for COLING-2018.
- (Feb, 2018) Invited Speaker at the Automate-USA conference, 2018, Boston, MA.
- (Oct, 2017) Two papers accepted in IEEE-BIBM BHI-2017.
- (Sep, 2017) Paper on "Learning to Diagnose with Deep Reinforcement Learning" accepted in IJCNLP 2017.
- (Aug, 2017) Invited Speaker at the Global Data Science Conference 2017, Boston, MA.
- (Jul, 2017) Ranked 1st 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 ICLR-2020, AAAI-2020, AISTATS-2020, AMIA-2020, EMNLP-IJCNLP-2019, NeurIPS-2019, BioNLP-2019, IJCAI-2019, ACL-2019, MLHC-2019, Clinical NLP-2019, ICML-2019, ICLR-2019, AISTATS-2019, NIPS-2018, EMNLP-2018, ICML-2018, ACL-2018, NAACL-2018, ICLR-2018, MLHC-2018, AISTATS-2018, ICHI-2018, IJCNLP-2017, NIPS-2017, ACL-2017, AMIA-2017, MEDINFO-2017, AISTATS-2017, ClinicalNLP-2016, NIPS-2016, NAACL-2016, AMIA-2016, AMIA-2015, MEDINFO-2015, JAMIA, KAIS, PLOS ONE Journal, IEEE Transactions on Knowledge and Data Engineering, Computer Speech and Language, Artificial Intelligence Review, Journal of Artificial Intelligence Research.
- Area Chair for COLING-2018.
- Doctoral Committee Member for Lucas Oliveira, PUCPR, Brazil, 2020, Aaditya Prakash, Brandeis University, 2019.
- Problem Author for the North American Computational Linguistics Olympiad (NACLO-2017).