ABOUT
Contact
mobashir (dot) shandhi [at] duke (dot) edu
I am Md Mobashir Hasan Shandhi, Ph.D., an American Heart Association Postdoctoral Fellow in Biomedical Engineering at Duke University and a mHealth Training Institute 2023 Scholar. I am currently working in the Big Ideas Lab with Dr. Jessilyn Dunn in developing and validating sensors and algorithms to monitor patients with chronic (e.g., heart failure and other cardiovascular diseases) and infectious diseases (e.g., COVID-19, flu).
Before my Postdoc at Duke, I finished my Ph.D. in Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology. During my Ph.D., I have worked with Dr. Omer T. Inan in developing wearable sensors and corresponding signal processing and machine learning algorithms for monitoring cardiovascular and respiratory health, especially for patients with heart failure. During my Master’s in ECE at the University of Utah, I developed a high channel density neural array (Utah Multisite Electrode Array) for large neuronal mapping with Drs. Sandeep Negi and Florian Solzbacher.
My research interests are in the field of biosensing, physiological monitoring, signal processing, machine learning, bioMEMS, and micromachining techniques. I have finished my B.Sc. in Electrical and Electronics Engineering at the Bangladesh University of Engineering and Technology (BUET).
For my research work, I have received multiple awards so far, including the American Heart Association Postdoctoral Fellowship for my research proposal on wearable biosensors to monitor cardiorespiratory fitness in patients with heart failure with a two-year grant of $143k as the principal investigator. Besides this fellowship, I have received an Early Career Fellowship, Runner-up Best Paper award, First Place Research award, and Distinguished Poster Nominee for my work.
Apart from my research, I like hiking, biking, reading, camping, and spending time with my family.
News & Highlights
February 28, 2024 | Super excited to share that my research proposal on “Artificial Intelligence and Wearable Sensors to Detect and Track Cancer Treatment-Related Cardiotoxicities.” has been awarded one-year funding ($50k) by Duke Heart Center and Translating Duke Health (TDH). This is my second research grant as a principal investigator.
February 22, 2024 | Our journal paper “Assessment of Ownership of Smart Devices and the Acceptability of Digital Health Data Sharing” was published in Nature (npj) Digital Medicine.
February 20, 2024 | New journal paper “Real-world walking behaviors are associated with early-stage heart failure: a Project Baseline Health Study” has been accepted in the Journal of Cardiac Failure. The first paper from my collaboration with the Project Baseline Health Study by Verily.
February 05, 2024 | Super excited to see my first-authored paper “Assessment of Ownership of Smart Devices and the Acceptability of Digital Health Data Sharing” was finally accepted in Nature (npj) Digital Medicine, as well as to find the paper in SSRN’s Top Ten download list for: Digital Health eJournal (3rd) and Preprints with The Lancet (6th) categories, on the same day.
January 04, 2024 | Great to start the New Year with a paper acceptance (accept in principle) in Nature (npj) Digital Medicine, my second Nature paper as the first author from my Postdoc. [Preprint]
December 31, 2023 | Glad to be an Associate Editor for the upcoming IEEE EMBC 2024, Theme 7: Wearable Biomedical Sensors and Systems.
December 6, 2023 | Great to be a part of the “Agile Metabolic Health Project” with UC Berkeley and UCSF.
November 13, 2023 | Submitted my first Duke internal grant as the PI.
October 15-18, 2023 | Attended IEEE BHI 2023 in Pittsburgh, PA. Busy few days with organizing a workshop (“Unraveling Challenges in Time Series Analysis with Open Source Tools for Digital Health Applications“), chairing a special session (“Open-Source Initiatives in Digital Health: Challenges Faced and Lessons Learned”), and chairing a rapid-fire session.
October 13, 2023 | Presented my research work on “Patients’ Ownership and Usage of Smart Devices and Their Willingness to Share Personal Data from Smart Devices for Research” in a poster session at BMES 2023 in Seattle, WA.
October 12, 2023 | Submitted my first NIH grant proposal (K99/R00) as the PI.
October 11-14, 2023 | Attended BMES 2023 in Seattle, WA.
September 15, 2023 | New research paper “Transcutaneous vagal nerve stimulation modulates stress-induced plasma ghrelin levels: A double-blind, randomized, sham-controlled trial” is available online in the Journal of Affective Disorders.
September 01, 2023 | New preprint available: “Data-Driven Approaches Uncover Key Factors in Digital Health Study Adherence and Retention“.
August 29, 2023 | New preprint available: “Assessment of Ownership of Smart Devices and the Acceptability of Digital Health Data Sharing“.
August 15, 2023 | One 1-page extended abstract got accepted for IEEE BHI 2023.
July 27, 2023 | New roadmap paper “The 2023 Wearable Photoplethysmography Roadmap” is accepted in IOP Physiological Measurement.
July 16-20, 2023 | Attended NIH mHealth Training Insitute 2023 in-person session at the University of California, Los Angeles, with scholars, faculties, and program officers.
May 30, 2023 | One special session proposal and one workshop proposal got accepted for IEEE BHI 2023.
May 10, 2023 | Invited presentation on “Challenges in Bring-Your-Own-Device Design-based Digital Health Studies to Develop Reliable and Generalizable AI Tools for Healthcare Application” in Duke AI Health Spring Seminar Series.
April 29, 2023 | New review paper “Blood Pressure Variability in Clinical Practice: Past, Present, and the Future” is available online in JAHA: Journal of the American Heart Association.
April 26, 2023 | New paper “What Filter Passband Should Be Applied to the Ballistocardiogram?” is available online in Biomedical Signal Processing and Control.
March 31, 2023 | Super excited to share that our open-source project (Digital Biomarker Discovery Pipeline, DBDP) is selected for this year’s Google Season of Docs program.
March 21, 2023 | New paper “What Filter Passband Should Be Applied to the Ballistocardiogram?” got accepted in Biomedical Signal Processing and Control. Check out the pre-print.
March 20, 2023 | Super excited to share that I am selected as a mHealth Scholar for the 2023 mHealth Training Institute (mHTI) program. I am eagerly waiting to learn from the experts in the field and brainstorm with my peers on cutting-edge mHealth methodologies and technologies.
March 20, 2023 | New paper “Blood Pressure Variability in Clinical Practice: Past, Present, and the Future” got accepted in JAHA: Journal of the American Heart Association.
March 16, 2023 | Check out the March 2023 Discover CircRes podcast on our recent publication “Wearable Devices in Cardiovascular Medicine“.
March 02, 2023 | New invited review paper got published in Circulation Research on “Wearable Devices in Cardiovascular Medicine“.
February 02, 2023 | Virtual guest lecture on “Wearables for monitoring chronic and infectious diseases” in BME 200 Introduction to Biomedical Engineering at the University of Portland.
January 24, 2023 | New invited review paper got accepted in Circulation Research.
December 20, 2022 | New invited commentary in Cell Reports Medicine on “AI in Medicine: Where are we now and where are we going?“.
December 07, 2022 | Super excited to share that my research proposal has received the American Heart Association Postdoctoral Fellowship Award. I am so happy to be awarded my first grant as a principal investigator.
November 17, 2022 | Accepted invited commentary paper on “AI in Medicine: Where are we now and where are we going?” in Cell Reports Medicine.
November 15, 2022 | Presented my research projects and ideas on “Wearable Sensors for Monitoring Chronic and Infectious Diseases” in Emory University Biomedical Informatics (BMI) Seminar Series Winter 2022.
November 7, 2022 | Received Distinguished Poster Nomination for my poster on the “Assessment of Ownership of Smart Devices and the Acceptability of Digital Health Data Sharing among Duke Patients” in AMIA 2022.
November 5, 2022 | Successfully organized a workshop on “Incorporating Digital Health into Clinical Workflows: The Future of Longitudinal, Remote, and Assisted Patient Monitoring” in AMIA 2022 with Drs. Jessilyn Dunn, Ida Sim, William Edward Hammond, and, Ryan Shaw, and Hayoung Jeong.
November 5-9, 2022 | Attending AMIA 2022 in Washington, DC.
October 20, 2022 | New Paper in MDPI Sensors: “A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications“.
October 14, 2022 | Co-chaired the “Bioinformatics: Machine Learning and Physionomics” session at BMES 2022.
October 14, 2022 | Presented my research project on “Leveraging Data from Commercial Wearable Devices to Improve Diagnostic Testing Allocation in Resource-Limited Settings” in the “Bioinformatics: Machine Learning and Physionomics” session at BMES 2022.
October 13, 2022 | Editor-in-Chief of npj Digital Medicine published an editorial on our recent paper on developing intelligent risk prediction and allocating diagnostic tests intelligently by leveraging data from wearables when diagnostic tests are scarce.
October 12, 2022 | Presented my research projects and ideas in the “Meeting the Faculty Candidate” forum at BMES 2022.
October 12-15, 2022 | Attending the Biomedical Engineering Society (BMES) annual meeting 2022 in San Antonio, Texas.
October 10, 2022 | Duke Biomedical Engineering (BME) department featured our recent publication in npj Digital Medicine on improving the allocation of COVID-19 diagnostic tests when the supply is limited by leveraging data from wearables: “Smartwatches Can Help Guide COVID-19 Testing“.
September 29, 2022 | Guest Lectured in Statistical Methods for Learning and Discovery (BIOSTAT707) at Duke University on Data Transformations for Multiple Predictors and Unsupervised Learning using Principal Component Analysis.
September 16, 2022 | Attending Duke University’s Graduate Bootcamp to help undergraduate students from underrepresented backgrounds in STEM prepare for grad school applications.
September 15, 2022 | Organized a session on “Digital Biomarkers for Physiological and Mental Health Monitoring: Potential, Challenges, and Areas for Future Development” in Mental Health: Sensing & Intervention workshop at UbiComp 2022 .
September 12-15, 2022 | Attending UbiComp 2022 in Atlanta. Super excited to visit Georgia Tech after almost 20 months following my Ph.D. defense!
September 01, 2022 | New Paper in npj Digital Medicine: “A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19“.
August 29, 2022 | New preprint available: “A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications“.
August 13, 2022 | Accepted application for participating in the BMES 2022 Meet the Faculty Candidates forum.
August 10, 2022 | New conference abstract got accepted for poster presentation at the BHI 2022.
August 5, 2022 | Webpage for our AMIA Annual Symposium 2022 workshop on “Incorporating Digital Health into Clinical Workflows: The Future of Longitudinal, Remote, and Assisted Patient Monitoring” is live!
August 3, 2022 | New paper got accepted in npj Digital Medicine.
July 15, 2022 | New conference abstract got accepted for oral presentation at the BMES 2022 Annual Meeting.
June, 2022| Became an Editorial Board Member in npj Digital Medicine.
June 21, 2022 | New preprint available: “What Filter Passband Should be Applied to the Ballistocardiogram?”
June 16, 2022 | New conference abstract got accepted for poster presentation in HFSA 2022.
June 15, 2022 | Attending IME South 2022 as an invited panelist for the panel “Why Medical Device & Pharmaceutical Companies Are Turning to Wearables to Improve R&D”.
June 13, 2022 | New conference abstract and workshop paper got accepted for poster presentation and workshop at the AMIA Annual Symposium 2022.
May 11, 2022 | Attending CHI 2022 Workshop on Grand Challenges for Personal Informatics and AI.
May 2-3, 2022 | Attending Energetics in Anthropology Workshop at Duke University and presenting my work on cardiorespiratory fitness using wearables.
April 1, 2022| New Preprint available: “A Method for Intelligent Allocation of Diagnostic Testing by Leveraging Data from Commercial Wearable Devices: A Case Study on COVID-19“
March 17, 2022| New Abstract got accepted in the Energetics in Anthropology Workshop.
March 12, 2022 | Workshop paper got accepted in CHI 2022 Workshop on Grand Challenges for Personal Informatics and AI.