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Mohammad Arif Ul Alam PhD

TitleAssistant Professor
InstitutionUMass Chan Medical School
DepartmentMedicine
AddressUniversity of Massachusetts Medical School
55 Lake Ave North
Worcester MA 01605
Email
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    Other Positions
    InstitutionT.H. Chan School of Medicine
    DepartmentMedicine
    DivisionClinical Informatics


    Collapse Biography 
    Collapse education and training
    Bangladesh University of Engineering and Technology (BUET), Dhaka, , BangladeshBSComputer Science & Engineering
    University of Maryland, Baltimore County, Baltimore, MD, United StatesPHDInformation Systems

    Collapse Overview 
    Collapse Summary
    I connect Cyber-physical system with AI to better facilitate technological learning, education, healthcare and social changes. With the goal of impacting the practice of computer and information science, I solve complex electronic health record analytic, social media surveillance and robotic vision problems using Deep learning, AI Fairness, Causal AI, Explainable AI and AI Ethics
    Collapse overview

    I am serving as a tenure-track Assistant Professor in the Department of Computer Science at University of Massachusetts Lowell and an Adjunct Assistant Professor at University of Massachusetts Chan Medical School in the Department of Medicine. Prior joining UMass Lowell and UMass Medical, I was a Research Staff Member at MIT-IBM Watson AI Lab and a Research Scientist at Massachusetts Institute of Technology. I did my Ph. D. in Information Systems from University of Maryland Baltimore County with experiences of doing internship at Intel and IBM T. J. Watson Research Center. I have 30+ scholarly articles published in reknown venues such as AAAI, IROS, Infocom, EMBC, HotMobile, ICDCS, Percom, JMIR, TMC and PMC and filed 8 patents.



    Collapse Bibliographic 
    Collapse selected publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
    Newest   |   Oldest   |   Most Cited   |   Most Discussed   |   Timeline   |   Field Summary   |   Plain Text
    PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Mohammad Arif Ul Alam, Nirmalya Roy, Aryya Gangopadhyay, Elizabeth Galik. A Smart Segmentation Technique Towards Improved Infrequent Non-Speech Gestural Activity Recognition Model. Pervasive and Mobile Computing (PMC) Special Issue on Gerontechnology. 2022. View Publication.
    2. Koren A, Alam MAU, Koneru S, DeVito A, Abdallah L, Liu B. Nursing Perspectives on the Impacts of COVID-19: Social Media Content Analysis. JMIR Form Res. 2021 Dec 10; 5(12):e31358. PMID: 34623957.
      Citations:    
    3. Ul Alam MA. Activity-Aware Deep Cognitive Fatigue Assessment using Wearables. Annu Int Conf IEEE Eng Med Biol Soc. 2021 11; 2021:7433-7436. PMID: 34892814.
      Citations:    Fields:    Translation:Humans
    4. Mohammad Arif Ul Alam, Nirmalya Roy, Archan Misra. Tracking and Behavior Augmented Activity Recognition for Multiple Inhabitants. IEEE Transactions on Mobile Computing. 2019. View Publication.
    5. Mohammad Arif Ul Alam, N. Roy, A. Gangopadhya, E. Galik. Infrequent Non-Speech Gestural Activity Recognition using Smart Jewelery: Challenges and Opportunities for Large Scale Adaptation. Handbook of Large-Scale Distributed Computing in Smart Healthcare, Springer. 2016. View Publication.
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