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Mohammad Arif Ul Alam, PhD
Assistant Professor, UMass Lowell
Miner School of Computer & Information Sciences (tenure track)
Biomedical Engineering and Biotechnology (affiliate)
Principal Computer Scientist, National Institute of Health
National Institute on Aging (NIA), Division of Behavioral and Social Research
Assistant Professor, UMass Chan Medical School
Department of Medicine (Adjunct)
Office: 344 Dandeneau Hall
Telephone: 978-934-1971
Email addresses
UMass Lowell: mohammadariful_alam at uml dot edu
UMass Medical: mohammadariful.alam1 at umassmed dot edu
NIH/NIA: mohammad.alam3 at nih dot gov
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Research
My research focuses on on Interactive, Cognitive, Mobile and Ubiquitous Computing. I am also interested in deep learning, big data analytics, optical spectroscopy and their application in healthcare and life sciences. We mainly research on human accessibility that leverages a network of connected biomedical devices, sensors and AI aided cognitive systems to help people with disabilities.
Recent Classes
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Artificial Intelligence, Fall 2021, Spring 2023 (Website)
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Internet of Things, Spring 2020, Spring 2021, Spring 2022 (Website)
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Healthcare Data Analytics, Fall 2019, Fall 2020(Website)
Sponsors
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National Science Foundation (NSF), Smart and Connected Community (Integrative Research Grants)
Project Title: SCC-IRG Track 1: Community Based Approach to Address Contaminants in Drinking Water using Smart Cloud-Connected Electrochemical Sensors (Link)
Role: Co-PI
Total Amount: 2,495,019 USD (~2.5 Million)
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University of Massachusetts Lowell, National Science Foundation Innovation Corps (I-Corps)
Project Title: Monitoring Hydration with Smart Technologies
Role: PI
Total Amount: 3,000 USD (+5,000 USD extended)
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Minshall Family Faculty Research Fund and Connell Family Endowment Fund (Seed Grant)
Project Title: Developing a coding sequence from dementia caregivers’ social media posts on managing the problem behaviors of dementia
Role: Consultant
Total Amount: 10,000 USD
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University of Massachusetts Lowell (Seed Grant)
Category: Research Partnerships Leading to Understanding of the COVID-19 Pandemic
Project: Monitoring The Voices of Nurses in Social Media During Pandemic
Duration: 4 months
Role: Co-PI
Total Amount: 10,000 USD
Affiliations
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