2025
Hemoglobin Level Prediction Using Image Data and an Artificial Neural Network
Ahamed, S. I., Hasan, M. K., Love, R. Hemoglobin Level Prediction Using Image Data and an Artificial Neural Network. (Patent Issued: December 2025).
Research focus
AI & health data analytics.
Machine learning and computational methods for understanding health data and supporting research.
Research overview
AI & health data analytics
Machine learning, health data analytics and computational modeling connect several parts of this research program. The bibliography includes methodological studies, applied systems and comparisons of learning approaches.
See the linked publication records and their sources for specific methods, findings and limitations.
Questions
How can models remain useful across people, settings and datasets?
Related scholarship
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2025
Quantum Computing for Smart Healthcare
Paramita Basak Upama, Sheikh Iqbal Ahamed, Chapter 24: Quantum Computing for smart healthcare, Sensor Networks for Smart Hospitals 1st Edition - January 1, 2025, Editor: Tuan Anh Nguyen, Language: English, Paperback ISBN: 9780443363702, eBook ISBN: 9780443363719
2024
A Comparative Study of Classical and Quantum Algorithms for Heart Disease Prediction Using Patients' Vital Signs
Paramita Basak Upama, Parama Sridevi, Masud Rabbani, Mohammad Syam, Abul Hasan Muhammad Bashar, Md. Rubaiyat H. Mondal, Rumi Ahmed Khan, Sheikh Iqbal Ahamed: A Comparative Study of Classical and Quantum Algorithms for Heart Disease Prediction Using Patients' Vital Signs. COMPSAC 2024: 1835-1840
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
Competitive State Anxiety Inventory Assessment Using Remote Photoplethysmography and Deep Learning
Lin He, Masud Rabbani, Maria Valero, Sheikh Iqbal Ahamed: Competitive State Anxiety Inventory Assessment Using Remote Photoplethysmography and Deep Learning. SSE 2023: 277-284
2023
Quantum Machine Learning in Disease Detection and Prediction: a survey of applications and future possibilities
Paramita Basak Upama, Anushka Kolli, Hansika Kolli, Subarna Alam, Mohammad Syam, Hossain Shahriar, Sheikh Iqbal Ahamed: Quantum Machine Learning in Disease Detection and Prediction: a survey of applications and future possibilities. COMPSAC 2023: 1545-1551
2023
Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks
Mst. Shapna Akter, Hossain Shahriar, Juan Rodriguez Cardenas, Sheikh Iqbal Ahamed, Alfredo Cuzzocrea: Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks. COMPSAC 2023: 765-776
2023
Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection
Mst. Shapna Akter, Hossain Shahriar, Sheikh Iqbal Ahamed, Kishor Datta Gupta, Muhammad Rahman, Atef Mohamed, Mohammad Rahman, Akond Rahman, Fan Wu: Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection. COMPSAC 2023: 1057-1063
2023
Towards Developing a Mobile-Based Care (KidneyCare) for Patients with Kidney Diseases Using Ten-second Fingertip Video and PPG with Machine Learning
Parama Sridevi, Masud Rabbani, Sayed Mashroor Mamun, Mohammad Syam, Rumi Ahmed Khan, Sheikh Iqbal Ahamed: Towards Developing a Mobile-Based Care (KidneyCare) for Patients with Kidney Diseases Using Ten-second Fingertip Video and PPG with Machine Learning. ICDH 2023: 202-204
2023
A Comprehensive Study for Predicting Chronic Kidney Disease, Diabetes, Hypertension, and Anemia by Machine Learning and Feature Engineering Techniques
Parama Sridevi, Masud Rabbani, Sheikh Iqbal Ahamed: A Comprehensive Study for Predicting Chronic Kidney Disease, Diabetes, Hypertension, and Anemia by Machine Learning and Feature Engineering Techniques. ICDH 2023: 248-257
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
2022
State-of-the-Art Versus Deep Learning: A Comparative Study of Motor Imagery Decoding Techniques
Olawunmi George, Sarthak Dabas, Abdur Sikder, Roger O. Smith, Praveen Madiraju, Nasim Yahyasoltani, Sheikh Iqbal Ahamed, State-of-the-Art Versus Deep Learning: A Comparative Study of Motor Imagery Decoding Techniques. IEEE Access 10: 45605-45619 (2022)
2022
Quantitative Multidimensional Stress Assessment from Facial Videos using Deep Learning
Lin He, Jiachen Ma, Sheikh Iqbal Ahamed, Piyush Saxena. Quantitative Multidimensional Stress Assessment from Facial Videos using Deep Learning. COMPSAC 2022: 710-715.
2022
Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools
Paramita Basak Upama, Md Jobair Hossain Faruk, Mohammad Nazim, Mohammad Masum, Hossain Shahriar, Gias Uddin, Shabir Barzanjeh, Sheikh Iqbal Ahamed, Akond Rahman. Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools. COMPSAC 2022: 520-529.
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.
2021
A machine learning approach to inform developmental milestone achievement for children with autism
Haque MM, Rabbani M, Dipal DD, Zarif MII, Iqbal A, Schwichtenberg A, Bansal N, Soron TR, Ahmed SI, Ahamed SI. A machine learning approach to inform developmental milestone achievement for children with autism. JMIR Med Inform. 2021 May 12. doi: 10.2196/29242. Epub ahead of print. PMID: 33984830.
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.
2019
Artificial Intelligence of Things in Sports Science: Weight Training as an Example
Chu, William C.-C., Chihhsiong Shih, Wen-Yi Chou, Sheikh I. Ahamed, and Pao-Ann Hsiung. Artificial Intelligence of Things in Sports Science: Weight Training as an Example. COMPUTER 52.11 (2019): 52-61.
2019
Identifying Buildings with Ramp Entrances Using Convolutional Neural Networks
Wu, Jiawei, Wenliang Hu, Joseph Coelho, Paromita Nitu, Hannah Paul, Praveen Madiraju, Roger Smith, Sheikh I. Ahamed, and Sheikh I. Ahamed. Identifying Buildings with Ramp Entrances Using Convolutional Neural Networks. 43rd IEEE Annual Computer Software and Applications Conference Workshops, 2019. pp. 74 - 79.
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
Basketball Team’s Data Analysis and Prediction
Ma, J., Ahamed, S. I., 2018 Forward thinking poster session, Basketball team's data analysis and prediction. (November 2018).
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).
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.
2011
Towards TTP-free lightweight solution for location privacy using location-based anonymity prediction
Sheikh Iqbal Ahamed, Chowdhury Sharif Hasan, Md Munirul Haque, Md. Osman Gani. Towards TTP-free lightweight solution for location privacy using location-based anonymity prediction. RACS 2011: 293-297.
2011
Towards TTP-Free Lightweight Solution for Location Privacy Using Location-Based Anonymity Prediction
Ahamed, S. I., Hasan, C. S., Haque, M. M., Gani, M. O., Research in Applied Computing Symposium (ACM SIG APP) 2011, "Towards TTP-Free Lightweight Solution for Location Privacy Using Location-Based Anonymity Prediction," ACM, Miami, Florida. (November 3, 2011).
2005
A Smart Meeting Room with Pervasive Computing Technologies
Ahamed, S. I. (Presenter & Author), 6th ACIS international Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/ Distributed Computing (SNDP 2005), "A Smart Meeting Room with Pervasive Computing Technologies," Maryland. (May 23, 2005).
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