From the Lab to Community: AI for Document Understanding and Public Health

Monday, March 29, 2021 - 11:00am to 12:00pm

Topic: Seminar: Muhammad Rahman

Time: Mar 29, 2021 11:00 AM Eastern Time (US and Canada)

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Artificial intelligence (AI) has made incredible scientific and technological contributions in many areas including business, healthcare and psychology. Due to the multidisciplinary nature and the ability to revolutionize, almost every field has started welcoming AI. The last decade is the witness of progresses of AI and machine learning, and their applications. In this talk, I will present my work that used AI and machine learning to solve interesting research challenges. The first part of my talk will describe an AI-powered framework that I have developed for large document understanding. The research contributed by modeling and extracting the logical and semantic structure of electronic documents using machine learning techniques. In the second part of my talk, I will present an ongoing work that uses computational technology to design a study for measuring COVID-19 effects on people with substance use disorders. I will conclude the talk by introducing few other AI-powered initiatives in mental health, substance use and addiction that I am currently working on.


Dr. Muhammad Rahman is a Postdoctoral Researcher at National Institutes of Health (NIH). Before that, he was a Postdoctoral Fellow in the Center for Language and Speech Processing (CLSP) research lab at Johns Hopkins University. He obtained his Ph.D. in computer science from the University of Maryland, Baltimore County. His research is at the intersection of artificial intelligence (AI), machine learning, natural language processing, mental health, addiction and public health. Dr. Rahman’s current research mostly focuses on the real-world applications of advanced AI and machine learning techniques in addiction, mental health and behavioral psychology. As a part of NIH, he is working on designing and developing real-time digital intervention techniques to support substance use disorders and mental illness patients. During his Ph.D., Dr. Rahman worked on large document understanding that automatically identifies different sections of documents and understands their purpose within the document. He also had research internships at AT&T Labs and eBay Research where he worked on large scale industrial research projects.