Sadid Hasan
Philips Research North America
New York, USA
E-mail: sadid.hasan@philips.com
"The questions are always more important than the answers."
- Randy Pausch, The Last Lecture
Sadid Hasan @ Philips Research
  Home   |   Publications   |   Resume   |   Research   |   Links   |   Contact Me  

I am a Research Scientist at Philips Research, New York. 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 problems related to Clinical Question Answering and Intelligent Information Extraction.

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:
- (Aug, 2015) Attended the MEDINFO-2015 Conference in Sao Paulo, Brazil.
- (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.
- (Nov, 2014) Gave a talk on clinical question answering at the NIST TREC-2014 Conference.
- (Nov, 2014) Attended the AMIA-2014 Conference in Washington DC.
- (Oct, 2014) Paper on reinforcement learning published in EMNLP-2014.
- (Aug, 2014) Attended the biggest ever KDD: KDD-2014 Conference in New York City.
- Reviewer for AMIA-2015, MEDINFO-2015, IEEE Transactions on Knowledge and Data Engineering, Computer Speech and Language, Artificial Intelligence Review, Journal of Artificial Intelligence Research.