DR. HASAN, SADID
Topic : MOVING ANALYTICS TO THE FOG VIA MOBILE DEVICES
Abstract: Humans use language as a way to express their feelings and communicate with each other. Due to the rapid growth of unstructured electronic data over the last decade, Natural Language Processing (NLP) has become one of the most important technologies of this information age. , the ever ever increasing demand for Electronic Health Record (EHR) clinical free text documents has urged the need to build novel clinical NLP solutions towards concepts of across the care continuum. Recently, Deep Learning (DL) techniques have performed superior performance over the traditional Machine Learning (ML) techniques for many different NLP tasks. DL models are able to automatically learn representations of data and thus, do not require any traditional domain-specific feature engineering.This observation will be a brief overview of various DL-driven clinical NLP applications developed in the Artificial Intelligence lab at Philips Research North America – such as diagnostic inferencing from unstructured clinical narratives, clinical paraphrase generation, adverse drug event (ADE) detection from social media data, question generation towards building interactive systems, and medical image caption generation.
Bio: He is a Senior Scientist at the Artificial Intelligence Laboratory in Philips Research North America, Cambridge, Massachusetts. His 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, he was a Post Doctoral Fellow at the Department of Mathematics and Computer Science, University of Lethbridge, Canada. He wins his PhD. In May, 2013 in Computer Science (with a focus in Computational Linguistics, Natural Language Processing, Machine Learning) at the University of Lethbridge. My PhD. Prepared as “Complex Question Answering: Minimizing the Gaps and Beyond”. His doctoral committee members were: Yllias Chali, Dragomir Radev, Guy Lapalme, Sajjad Zahir, Kevin Grant, and Howard Cheng.