MAHBUBUL HASAN
  • Home
  • Publications
  • CV
  • Experiences
  • Teaching
  • Blog + Resources

Upcoming meetings & events


  • Nezon D, Okafor C, Hasan Mahbubul, Park M, McKenzie Gupta S. Comprehension of Pediatric Discharge Instructions: Do Gaps Exist for Caregivers Who Prefer to Communicate in a Language Other Than English? Scientific Day. May 2024.
  • ​Our project (title: Molecular Tumor Testing on Colorectal Adenocarcinoma Specimens in a Large Community-Based Healthcare System )has been accepted for presentation at ACG by American Journal of Gastroenterology, this October 2023
  • EDM 2022 in July. 
  • Research presentation at IEEE S&P 2022, and ICISDM 2022
  • Chair at 2022 American Statistical Association Conference on Statistical Practice
  • Honor mention for our deep learning paper in ASA-WT 2021 
  • WATSA local chapter presentations, Nov 5, 2020 
  • SMA Presentation- Nov 7, 2020 

The University of Memphis: Applied Statistics  

Picture
My research investigates on how advances in causal inference, statistical machine learning, bayesian and computational statistics can empower discovery in the biomedical and health sciences. I'm trained in applied statistical machine learning, biostatistics, information systems, and learning sciences. I've received teaching and research awards, including the Provost and Dean's Outstanding Student Award, and prestigious UofM '20 under 35' during my doctoral training.
Before starting my Ph.D. at the College of Arts and Sciences at the University of Memphis, I earned a BA in Social Science (summa cum laude) from the University of Dhaka. I am an active member of the American Statistical Association(ASA), International Society for Computational Biology, Society for Clinical Trials, West-TN American Statistical Association Chapter, Society for Marketing Advances, American Marketing Association, and American Educational Research Association. Furthermore, I have worked in private and public organizations, including Smith and Nephew and a World Bank Funded Project in Bangladesh and the USA. ​
While at Memphis, I have actively participated in the wider university and academic communities - served as the Student Research Forum Chair, Treasurer of the Graduate Student Association, President's Student Advisory Council member, Dean's Student Advisory Council member, Student Trusty Selection Committee, Doctoral Committee Representative, Member of University Council for Graduate Studies, GSA Travel Finance Committee Chair, GSA Fundraising Committee Chair, Graduate School Student Grade Appeal Committee member, SGA Commencement Speaker Selection Committee, GSA Election Commissioner, SGA Senator, and founding member of the Shikhon Lab. I have worked as a the Institute for Intelligent Systems Student Organization (IISSO) president. ​
​I enjoy traveling with family, meeting new people, reading new books, running marathons, and playing golf. In addition, I love spending time with my family and friends. 

Awards

  • Dean's Award at U of Memphis Graduate School and GSA Annual Award Ceremony  2022
  • Provost's Outstanding Student Award at University of Memphis  2022
  • 20 Under 35 Award at University of Memphis  2022
  • Research award in WTASA 2021 
  • Distinguish Research Award, Student Research Forum at the University of Memphis, 2017
  • Most Intellectual Student Award, Peer Power Foundation, Memphis, 2016
  • The Best Poster/First Place in the College of Education/Behavioral Science Group, 2015
  • Eye of the Tiger Award” Peer Power Foundation, Memphis, TN, 2015
  • Duke of Edinburg, Bronze Award, 2013

Research Interests 

Picture
Over the past decade, my research has focused on harnessing the power of artificial intelligence (AI) and machine learning (ML) to drive advances in translational research and precision medicine. My sustained efforts in these fields aim to catalyze significant healthcare innovations through advanced computational methods. The key themes of my research over this period include:
  • Translational Research Utilizing AI and ML: My long-term commitment to reducing the gap between laboratory discoveries and clinical applications has involved the use of AI and ML to develop predictive models that dramatically accelerate the research-to-treatment pipeline.
  • Natural Language Processing in Medicine: My research explores the use of NLP to extract meaningful information from unstructured medical data, such as patient records, clinical notes, and research articles. This includes developing algorithms that can interpret complex medical texts to assist in diagnosis, treatment planning, and patient monitoring.
  • Precision Medicine through Machine Learning: For over ten years, I have been developing algorithms that leverage vast arrays of biological and clinical data to facilitate personalized medical treatments, a cornerstone of modern healthcare customization.
  • Deep Learning for Cognitive Diagnostic Assessment (CDA): I have pioneered the use of deep learning technologies to refine cognitive diagnostic assessments, enhancing the precision and reliability of tools used to diagnose cognitive health and disorders.
  • Data Science Education: I have been dedicated to promoting and enhancing data science education, designing curricula that equip learners with essential skills for analyzing and interpreting complex healthcare data effectively.
  • Biostatistics and Data Science: My research applies robust biostatistical methods to solve complex problems in healthcare, ensuring that decisions are informed by scientifically valid and clinically relevant data.
  • Ethical AI Use in Healthcare: Consistently advocating for the responsible use of AI in healthcare, my work emphasizes ethical considerations, focusing on data privacy, security, and equitable access to technological advancements.


Selected Research 

  • ​​​​Krasity B, Hasan Mahbubul, Uppuluri S, Prazad P. Standardization of Urinary Tract Infection Diagnosis in the Neonatal ICU: Experience at a Tertiary Care Center. Advocate GME. February 2024. [Link to Full Text].
  • Studebaker N, Oram R, Marsh M, Henschen E, Hasan Mahbubul, et al. Antibiotic Appropriateness at Hospital Discharge: An Opportunity for Stewardship. Scientific Day. May 2024.
  • Nezon D, Okafor C, Hasan Mahbubul, Park M, McKenzie Gupta S. Comprehension of Pediatric Discharge Instructions: Do Gaps Exist for Caregivers Who Prefer to Communicate in a Language Other Than English? Scientific Day. May 2024.
  • Variational autoencoders to estimate MIRT models (2nd place winner) Hasan, M., Bowman, D., Deng, L., Yang, C.,
    EDM 2022, American Statistical Association TN fall meeting, 2021, Also presented at LDI talk, and Agency Lab (Invited Talk)
  • Emotional Triggers and Engagement in Viral Advertising (Best NLP Paper Award) Hasan, M.,
    American Statistical Association TN fall meeting, 2021
    Also presented at SP Wang annual seminar, and WTASA, 2019
  • Epistemological thinking while using iPad science application(1st place winner) Hasan, M., Winsor, D. L.,
    Annual Meeting of American Educational Research Conference, 2017
    Also presented at Student Research Forum, SRF 2015
  • Social networking sites and its association with loneliness Hasan, M., Yang, C.-c
    Biannual Meeting of Society for Research on Adolescence(Poster), 2016 Also presented at UM Student Research Forum(SRF 2017) 

A Brief Glimpse of the Research, Teaching and Professional Services[most recent]

2016 First Place at SRF at UM
2016- First Place- Poster Presentation- Student Research Forum, UM,Memphis
2016- Distinguish Research Award
2017 Judging 3MT presentations at UTHSC Memphis
2016 BDI conference at San Francisco, CA
2018 - Graduate Student Orientation - U of Memphis
2016 - Invited Talk - Dhaka
2016 - Teaching - Dhaka
2017 - Research Award - University of Memphis
2017 - Intro to Business - Fogelman Business School
2019 - Graduate Student Orientation- University of Memphis
2018 - ACT Math/Science - University of Memphis
2016 - EMK Center - Dhaka
2017 - AERA Conference - San Antonio, TX
Selected Media
Powered by Create your own unique website with customizable templates.
  • Home
  • Publications
  • CV
  • Experiences
  • Teaching
  • Blog + Resources