2026
Toward a Noninvasive mHealth Platform
Nafi Us Sabbir Sabith, Sayed Mashroor Mamun, Masud Rabbani, Sheikh Iqbal Ahamed: Toward a Noninvasive mHealth Platform. Computer 59(1): 95-107 (2026)
Research focus
Non-invasive sensing & wearables.
Smartphones, wearable devices and physiological signals as tools for accessible health research.
Research overview
Non-invasive sensing & wearables
Work in the Ubicomp Lab examines sensing through everyday devices, including smartphone cameras, microphones and wearable technologies. The publication record includes studies of physiological measurements, signal analysis and computational sensing.
See the linked publication records and their sources for specific methods, findings and limitations.
Questions
Which signals can accessible devices capture reliably?
Related scholarship
Explore the publication record.
Related entries are selected by topic keywords in the source citations.
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2024
UbiHeart: A novel approach for non-invasive blood pressure monitoring through real-time facial video
Kazi Shafiul Alam, Sayed Mashroor Mamun, Masud Rabbani, Parama Sridevi, Sheikh Iqbal Ahamed, UbiHeart: A novel approach for non-invasive blood pressure monitoring through real-time facial video, Smart Health, Volume 32, 2024, 100473,ISSN 2352-6483, https://doi.org/10.1016/j.smhl.2024.100473.
2024
Design Recommendations towards Developing a Smartphone-Based Point-of-Care Tool for Rural Bangladeshi Users
Md. Kamrul Hasan, Devansh Saxena, Yakin Rubaiat, Sheikh Iqbal Ahamed, Shion Guha: Design Recommendations towards Developing a Smartphone-Based Point-of-Care Tool for Rural Bangladeshi Users. Int. J. Hum. Comput. Interact. 40(4): 965-985 (2024)
2024
Listening to the Brain: A Novel Approach to Understanding Cerebral Dynamics through Blood Flow Sounds
Masud Rabbani, Subarna Alam, Md Raihan Mia, Anubhav Parida, Iysa Iqbal, Hansika Kolli, Parama Sridevi, Kazi Shafiul Alam, Paramita Basak Upama, Rumi Ahmed Khan, Sheikh Iqbal Ahamed: Listening to the Brain: A Novel Approach to Understanding Cerebral Dynamics through Blood Flow Sounds. COMPSAC 2024: 950-957
2024
Noninvasive ML-Based BUN Prediction from Ten-Second Fingertip Video Using Generative AI
Parama Sridevi, Kazi Zawad Arefin, Dipranjan Das, Rumi Ahmed Khan, Sheikh Iqbal Ahamed: Noninvasive ML-Based BUN Prediction from Ten-Second Fingertip Video Using Generative AI. COMPSAC 2024: 1630-1635
2023
An Artificial Intelligence–Based Smartphone App for Assessing the Risk of Opioid Misuse in Working Populations Using Synthetic Data: Pilot Development Study
Slam ABMR, Khan KM, Scarbrough A, Zimpfer MJ, Makkena N, Omogunwa A, Ahamed SI, An Artificial Intelligence–Based Smartphone App for Assessing the Risk of Opioid Misuse in Working Populations Using Synthetic Data: Pilot Development Study, JMIR Form Res 2023;7:e45434 doi: 10.2196/45434
2023
Smartphone-Based Video Antenatal Preterm Birth Education: The Preemie Prep for Parents Randomized Clinical Trial
Flynn KE, McDonnell SM, Brazauskas R, Ahamed SI, McIntosh JJ, Pitt MB, Pizur-Barnekow K, Kim UO, Kruper A, Leuthner SR, Basir MA. Smartphone-Based Video Antenatal Preterm Birth Education: The Preemie Prep for Parents Randomized Clinical Trial. JAMA Pediatr. 2023 Jul 31;177(9):921–9. doi: 10.1001/jamapediatrics.2023.1586. Epub ahead of print. PMID: 37523163; PMCID: PMC10481234.
2023
Quantum Machine Learning in Early Detection and Prediction of Human Diseases with Non-invasively or Minimally-invasively Acquired Features
Paramita Basak Upama, Parama Sridevi, Masud Rabbani, Sheikh Iqbal Ahamed "Quantum Machine Learning in Early Detection and Prediction of Human Diseases with Non-invasively or Minimally-invasively Acquired Features" presented at Forward Thinking 2023 , Ubicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, United States
2023
Non-invasive Detection of Heart Rate Variability (HRV), Oxygen Saturation and HbA1c
KZ Arefin, P Sridevi, SI Ahamed, Non‐invasive Detection of Heart Rate Variability (HRV), Oxygen Saturation and HbA1c, Forward Thinking Research Symposium, Marquette University (Dec 2023)
2023
Non-invasive White Cell Count
Nafi Sabith, SI Ahamed, Non‐invasive White Cell count, Forward Thinking Research Symposium, Marquette University (Dec 2023)
2022
White cell count using a non-invasive method
Ahamed, S. I., Nafi Sabith, White cell count using non invasive way, (Submitted: Dec 2022
2022
A Novel IoT-based Framework for Non-Invasive Human Hygiene Monitoring using Machine Learning Techniques
Md Jobair Hossain Faruk, Shashank Trivedi, Mohammad Masum, Maria Valero, Hossain Shahriar, Sheikh Iqbal Ahamed. A Novel IoT-based Framework for Non-Invasive Human Hygiene Monitoring using Machine Learning Techniques. ICHI 2022: 412-42.
2022
Non-invasive Brain Signal Analysis
Masud Rabbani, P Sridevi, SI Ahamed, Non‐invasive Brain signal analysis, Forward Thinking Research Symposium, Marquette University (Dec 2022)
2020
HeLP ME: Recommendations for Non-invasive Hemoglobin Level Prediction in Mobile-phone Environment
Hasan MK, Aziz MH, Zarif MII, Hasan M, Hashem MMA, Guha S, Love R, Ahamed S. HeLP ME: Recommendations for Non-invasive Hemoglobin Level Prediction in Mobile-phone Environment. JMIR Mhealth Uhealth 2020. doi:10.2196/16806.
2018
SCalE: Smartphone-based Calorie Estimation From Food Image Information
Ahamed, S. I., Sadeq, N., Rahman, A., & Hasan, M. K. (2018). SCalE: Smartphone-based Calorie Estimation From Food Image Information. 2018 International Conference on Networking Systems and Security (NSysS 2018), pp 8 pages.
2018
Smartphone-based Human Hemoglobin Level Measurement Analyzing Pixel Intensity of a Fingertip Video on Different Color Spacees
Hasan, M. K. I., Ahamed, S. I., Love, R., & Sakib, N. (2018). Smartphone-based Human Hemoglobin Level Measurement Analyzing Pixel Intensity of a Fingertip Video on Different Color Spacees (Vol. 5-6, p. Pages 26–Pages 39). United States: Smart Health.
2018
SmartHeLP: Smartphone-based Hemoglobin Level Prediction Using an Artificial Neural Network
Md. K. Hasan, Md. M. Haque, Riddhiman Adib, Jannatul Ferdause Tumpa, Richard R. Love, Azima Begum, Young L. Kim, Sheikh Iqbal Ahamed. SmartHeLP: Smartphone-based Hemoglobin Level Prediction Using an Artificial Neural Network. AMIA 2018.
2018
A Study and Estimation a Lost Person Behavior in Crowded Areas Using Accelerometer Data from Smartphones
Mohammed Balfas, Sheikh Iqbal Ahamed, Chandana P. Tamma, Muhammad Arif, Ahmed J. Kattan, William Chu. A Study and Estimation a Lost Person Behavior in Crowded Areas Using Accelerometer Data from Smartphones. COMPSAC (1) 2018: 860-865.
2018
Smartphone-based Calorie Estimation From Food Image Using Distance Information
Nafis Sadeq, Fazle Rabbi Rahat, Ashikur Rahman, Sheikh Iqbal Ahamed, Md Kamrul Hasan. Smartphone-based Calorie Estimation From Food Image Using Distance Information. NSysS 2018: 66-73.
2017
Classification of physical activities using wearable sensors
Muhammad Arif, Ahmed Kattan, Sheikh Iqbal Ahamed. Classification of physical activities using wearable sensors. Intelligent Automation & Soft Computing 23(1): 21-30 (2017).
2017
A Novel Real-Time Non-invasive Hemoglobin Level Detection Using Video Images from Smartphone Camera
Golam Mushih Tanimul Ahsan, Md. Osman Gani, Md. K. Hasan, Sheikh Iqbal Ahamed, William C. Chu, Mohammad Adibuzzaman, Joshua Field. A Novel Real-Time Non-invasive Hemoglobin Level Detection Using Video Images from Smartphone Camera. COMPSAC (1) 2017: 967-972.
2017
Analyzing the existing noninvasive hemoglobin measurement techniques
Md. Kamrul Hasan, Nazmus Sakib, Richard Love, Sheikh Iqbal Ahamed. Analyzing the existing noninvasive hemoglobin measurement techniques. UEMCON 2017: 442-448.
2016
Pain Level Detection from Facial Image Captured by Smartphone
Md. Kamrul Hasan, Golam Mushih Tanimul Ahsan, Sheikh Iqbal Ahamed, Richard Love, Reza Salim. Pain Level Detection from Facial Image Captured by Smartphone. JIP 24(4): 598-608 (2016).
2016
Your Walk is My Command: Gait Detection on Unconstrained Smartphone Using IoT System
Akm Jahangir Alam Majumder, Piyush Saxena, Sheikh Iqbal Ahamed. Your Walk is My Command: Gait Detection on Unconstrained Smartphone Using IoT System. COMPSAC 2016: 798-806.
2015
A Novel Activity Detection System Using Plantar Pressure Sensors and Smartphone
Ferdaus Ahmed Kawsar, Md. Kamrul Hasan, Richard Love, Sheikh Iqbal Ahamed. A Novel Activity Detection System Using Plantar Pressure Sensors and Smartphone. COMPSAC (Stephen S. Yau Academic Symposium) 2015: 44-49.
2015
Assessment of Pain Using Facial Pictures Taken with a Smartphone
Mohammad Adibuzzaman, Colin Ostberg, Sheikh Iqbal Ahamed, Richard J. Povinelli, Bhagwant Sindhu, Richard Love, Ferdaus Ahmed Kawsar, Golam Mushih Tanimul Ahsan. Assessment of Pain Using Facial Pictures Taken with a Smartphone. COMPSAC 2015: 726-731.
2015
Risky Behaviors Management Using Smartphones
Ahamed, S. I., Do, D., Franco, Z., Yu, X., 2015 Forward Thinking Poster Session, Risky behaviors management using Smart phones. (December 2015).
2015
Cloud Control Using Smartphone
Ahamed, S. I., 2015 Forward Thinking Poster Session, Cloud control using Smart phone. (December 1, 2015).
2015
Hemoglobin Level Detection Using Smartphone
Ahamed, S. I., Hasan, M., Ahsan, G., Love, R., 2015 Forward Thinking Poster Session, Hemoglobin Level detection using Smart Phone. (December 1, 2015).
2015
Pain Level Detection Using Smartphone
Ahamed, S. I., Hasan, M., Ahsan, G., Love, R., 2015 Forward Thinking Poster Session, Pain Level Detection using Smart Phone. (December 1, 2015).
2015
Affective Computing Using Smartphone
Ahamed, S. I., Affective Computing using Smart phone, Taichung. (June 30, 2015).
2015
mHealth and Affective Using Smartphone
Ahamed, S. I., mHealth and affective using Smart phone, University, Taipei, Taiwan. (March 2015).
2014
Your Phone Knows You: Almost Transparent Authentication for Smartphones
Mohammad Tanviruzzaman, Sheikh Iqbal Ahamed. Your Phone Knows You: Almost Transparent Authentication for Smartphones. COMPSAC 2014: 374-383.
2014
Remote Monitoring Using Smartphone Based Plantar Pressure Sensors: Unimodal and Multimodal Activity Detection
Ferdaus Ahmed Kawsar, Sheikh Iqbal Ahamed, Richard Love. Remote Monitoring Using Smartphone Based Plantar Pressure Sensors: Unimodal and Multimodal Activity Detection. ICOST 2014: 138-146.
2014
Smartphone based multimodal activity detection system using plantar pressure sensors
Ferdaus Ahmed Kawsar, Sheikh Iqbal Ahamed, Richard Love. Smartphone based multimodal activity detection system using plantar pressure sensors. SAC 2014: 468-469.
2014
Your Phone Knows You: Almost Transparent Authentication for Smartphones
Ahamed, S. I., IEEE 38th Annual Computer Software and Applications Conference, COMPSAC 2014, Vasteras, Sweden, July 21-25, 2014, Your Phone Knows You: Almost Transparent Authentication for Smartphones. IEEE Computer Society. (July 2014).
2014
iPeer: Mentorship Using Smartphones
Ahamed, S. I., HWPP Annual conference, iPeer: mentorship using smart phones. MCW. (May 2014).
2013
RSSI Based Indoor Localization for Smartphone Using Fixed and Mobile Wireless Node
Md. Osman Gani, Casey O'Brien, Sheikh Iqbal Ahamed, Roger O. Smith. RSSI Based Indoor Localization for Smartphone Using Fixed and Mobile Wireless Node. COMPSAC 2013: 110-117.
2013
Elderly Safety: A Smartphone Based Real Time Approach
Mohammad A. Alam, Weiqiang Wang, Sheikh Iqbal Ahamed, William C. Chu. Elderly Safety: A Smartphone Based Real Time Approach. ICOST 2013: 134-142.
2013
smartPrediction: a real-time smartphone-based fall risk prediction and prevention system
A. K. M. Jahangir Alam Majumder, Ishmat Zerin, Md. Miftah Uddin, Sheikh Iqbal Ahamed, Roger O. Smith. smartPrediction: a real-time smartphone-based fall risk prediction and prevention system. RACS 2013: 434-439.
2013
iPrevention: towards a novel real-time smartphone-based fall prevention system
A. K. M. Jahangir Alam Majumder, Farzana Rahman, Ishmat Zerin, William Joseph Ebel Jr., Sheikh Iqbal Ahamed. iPrevention: towards a novel real-time smartphone-based fall prevention system. SAC 2013: 513-518.
2013
A Real-Time Smartphone- and Smart Shoe-Based Fall Prevention System
Ahamed, S. I. (Presenter & Author), Majumder, A. J. A. (Presenter & Author), Forward thinking poster session, A Real-time Smartphone- and Smart shoe-based Fall Prevention System. ORSP, AMU, Marquette University. (December 30, 2013).
2013
Recognition of Complex Human Activity on Smartphone
Ahamed, S. I. (Presenter & Author), Gani, M. O. (Presenter & Author), Forward Thinking Poster Session, Recognition of Complex Human Activity on Smartphone. ORSP, Marquette University. (December 3, 2013).
2013
Physiological Monitoring of Children With ASD During PEERS Intervention
Ahamed, S. I. (Presenter & Author), Jain, N. (Presenter & Author), Van Hecke, A. V. (Presenter & Author), Forward Thinking Poster Session, Physiological Monitoring of Children with ASD during PEERS Intervention, ORSP, Marquette University. (December 3, 2013).
2013
RSSI-Based Indoor Localization for Smartphone Using Fixed and Mobile Wireless Node
Ahamed, S. I. (Presenter & Author), 37th Annual IEEE International Computer Software and Applications Conference (COMPSAC 2013), RSSI based Indoor Localization for Smartphone using Fixed and Mobile Wireless Node. IEEE Computer Society, Kyoto, Japan. (July 2013).
2013
Smartphone-Based Fall Prevention System
Ahamed, S. I. (Presenter & Author), 28th Symposium On Applied Computing, Smartphone-based Fall Prevention System. ACM Special Interest Group on Applied Computing, Coimbra, Portugal. (March 2013).
2012
Americans with Disabilities Act - Compliance Assessment Toolkit on Smartphone
Mohammad Tanviruzzaman, Rizwana Rizia, Sheikh Iqbal Ahamed, Roger O. Smith. Americans with Disabilities Act - Compliance Assessment Toolkit on Smartphone. COMPSAC 2012: 442-451.
2012
Americans With Disabilities Act – Compliance Assessment Toolkit on Smartphone
Tanviruzzaman, M., Rizia, R., Ahamed, S. I., Smith, R., COMPSAC 2012: IEEE Signature Conference on Computer Software and Applications, Americans With Disabilities Act – Compliance Assessment Toolkit on Smartphone. Izmir, Turkey. (July 2012).
2011
Towards Abnormality in Gait Using Smartphone
Ahamed, S. I., Majumder, A.K.M. J., Ebel, Jr., W., Gani, M. O., Kawsar, F., Forward Thinking Poster Session, TAGS: Towards Abnormality in Gait Using Smartphone. Marquette University. (December 2011).
2011
Towards Assessing Accessibility Using a Smartphone
Ahamed, S. I., Tanviruzzaman, M., Rizia, R., Forward Thinking Poster Session, "Towards Assessing Accessibility Using a Smartphone," Marquette University. (December 2011).
2011
Towards Fall Prevention Using Human Activity Genome on Smartphones
Ahamed, S. I., Gani, M. O., Forward Thinking Poster Session, "Towards Fall Prevention Using Human Activity Genome on Smartphones," Marquette University. (December 2011).
Automated cardiac pulse cycle analysis from photoplethysmogram (PPG) signals generated from fingertip videos captured using a smartphone to measure blood hemoglobin levels
M. H. Aziz, M. K. Hasan, A. Mahmood, R. Love and S. I. Ahamed, Automated cardiac pulse cycle analysis from photoplethysmogram (PPG) signals generated from fingertip videos captured using a smartphone to measure blood hemoglobin levels, in IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2021.3068658.
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