Publications

Published <selected papers>:

Journals:

· Alsinglawi, B., Alshari, O., Alorjani, M., Mubin, O., Alnajjar, F., Novoa, M. and Darwish, O., 2022. An explainable machine learning framework for lung cancer hospital length of stay prediction. Scientific reports, 12(1), pp.1-10 .

· Alsinglawi, B., Zheng, L., Kabir, M.A., Islam, M.Z., Swain, D. and Swain, W., 2022. Internet of Things and Microservices in Supply Chain: Cybersecurity Challenges, and Research Opportunities. In International Conference on Advanced Information Networking and Applications (pp. 556-566). Springer, Cham

· Alsinglawi, B., Mubin, O., Alnajjar, F., Kheirallah, K., Elkhodr, M., Al Zobbi, M., Novoa, M., Arsalan, M., Poly, T.N., Gochoo, M. and Khan, G., 2021. A simulated measurement for COVID-19 pandemic using the effective reproductive number on an empirical portion of population: epidemiological models. Neural Computing and Applications, pp.1-9.

· Elkhodr, M., Ashokkumar, S., Alsinglawi, B., Darwish, O., Karajeh, O. and Gide, E., 2021, May. A Cloud-Based Mobile Application for Women with Gestational Diabetes. In International Conference on Advanced Information Networking and Applications (pp. 514-523). Springer, Cham.

· Poly, T.N., Islam, M.M., Li, Y.C.J., Alsinglawi, B., Hsu, M.H., Jian, W.S. and Yang, H.C., 2021. Application of artificial intelligence for screening covid-19 patients using digital images: Meta-analysis. JMIR Medical Informatics, 9(4), p.e21394.

Karajeh, O., Darweesh, D., Darwish, O., Abu-El-Rub, N., Alsinglawi, B. and Alsaedi, N., 2021. A Classifier to Detect Informational vs. Non-Informational Heart Attack Tweets. Future Internet, 13(1), p.19.

· Elkhodr, M., Mubin, O., Iftikhar, Z., Masood, M., Alsinglawi, B., Shahid, S. and Alnajjar, F., 2021. Technology, Privacy, and User Opinions of COVID-19 Mobile Apps for Contact Tracing: Systematic Search and Content Analysis. Journal of Medical Internet Research, 23(2), p.e23467.

· Kheirallah, K; Alsinglawi,B; Alzoubi, A; Saidan, M; Mubin, O; Alorjani, M; Mzyak, F. The Effect of Strict State Measures on the Epidemiologic Curve of Covid-19 Infection in the Context of a Developing Country: A Simulation From Jordan to appear at International Journal of Environmental Research and Public Health 2020

· Al Zobbi, M.; Alsinglawi, B.; Mubin, O.; Alnajjar, F. Measurement Method for Evaluating the Lockdown Policies during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2020, 17, 5574.

· Arsalan, M.; Mubin, O.; Alnajjar, F.; Alsinglawi, B. COVID-19 Global Risk: Expectation vs. Reality. International Journal of Environmental Research and Public Health 2020, 17, 5592.

· Elkhodr, M. and Alsinglawi, B., Data provenance and trust establishment in the Internet of Things. Security and Privacy, 2020 p.e99.

· Arsalan M, Mubin O, Alnajjar F, Alsinglawi B and Zaki N (2020) Global and Temporal COVID-19 Risk Evaluation. Frontiers in Public Health 8:440.

· Mubin, O., Alnajjar, F., Al Mahmud, A., Jishtu, N. and Alsinglawi, B., 2020. Exploring serious games for stroke rehabilitation: a scoping review. Disability and Rehabilitation: Assistive Technology, pp.1-7.

· Mubin, O., Alnajjar, F., Jishtu, N., Alsinglawi, B. and Al Mahmud, A., 2019. Exoskeletons With Virtual Reality, Augmented Reality, and Gamification for Stroke Patients’ Rehabilitation: Systematic Review. JMIR rehabilitation and assistive technologies, 6(2), p.e12010.

· Alsinglawi, B., Nguyen, Q.V., Gunawardana, U., Maeder, A. and Simoff, S., 2017. RFID Systems in Healthcare Settings and Activity of Daily Living in Smart Homes: A Review. E-Health Telecommunication Systems and Networks, 6(01), p.1. ISSN: 2167-9525

· Alsinglawi, B., Elkhodr, M., Nguyen, Q.V., Gunawardana, U., Maeder, A. and Simoff, S., 2017. RFID Localisation for Internet of Things Smart Homes: A Survey. International Journal of Computer Networks & Communications arXiv preprint arXiv:1702.02311. ISSN: 0975-2293

Conferences and Chapters in Books:

· Belal Alsinglawi, Fady Alnajjar, Omar Mubin, Mauricio Novoa, Mohammed Alorjani, Ola Karajeh, Omar Darwish , Predicting Length of Stay for Cardiovascular Hospitalizations in the Intensive Care Unit: Machine Learning Approach. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

· Alsinglawi B., Alnajjar F., Mubin O., Novoa M., Karajeh O., Darwish O. (2020) Benchmarking Predictive Models in Electronic Health Records: Sepsis Length of Stay Prediction. In: Barolli L., Amato F., Moscato F., Enokido T., Takizawa M. (eds) Advanced Information Networking and Applications. AINA 2020. Advances in Intelligent Systems and Computing, vol 1151. Springer, Cham

· Darwish O., Stone C.M., Karajeh O., Alsinglawi B. (2020) Survey of Educational Cyber Ranges. In: Barolli L., Amato F., Moscato F., Enokido T., Takizawa M. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2020. Advances in Intelligent Systems and Computing, vol 1150. Springer, Cham.

· Alsinglawi, B. and Mubin, O., 2019, March. Predictive Analytics and Deep Learning Techniques in Electronic Medical Records: Recent Advancements and Future Direction. In Workshops of the International Conference on Advanced Information Networking and Applications (pp. 907-914). Springer, Cham.

· Alsinglawi, B.S., Nguyen, Q.V., Gunawardana, U., Simoff, S., Maeder, A., Elkhodr, M. and Alshehri, M.D., 2019. Passive RFID Localization in the Internet of Things. In Recent Trends and Advances in Wireless and IoT-enabled Networks (pp. 73-81). Springer, Cham.

· Alshehri, M.D., Hussain, F., Elkhodr, M. and Alsinglawi, B.S., 2019. A Distributed Trust Management Model for the Internet of Things (DTM-IoT). In Recent Trends and Advances in Wireless and IoT-enabled Networks (pp. 1-9). Springer, Cham.

· Elkhodr, M., Alsinglawi, B. and Alshehri, M., 2019. A Privacy Risk Assessment for the Internet of Things in Healthcare. In Applications of Intelligent Technologies in Healthcare (pp. 47-54). Springer, Cham.

· Darwish, O., Maabreh, M., Karajeh, O. and Alsinglawi, B., 2019, March. Source Codes Classification Using a Modified Instruction Count Pass. In Workshops of the International Conference on Advanced Information Networking and Applications (pp. 897-906). Springer, Cham.

· Elkhodr, M., Alsinglawi, B. and Alshehri, M., 2018, May. Data Provenance in the Internet of Things. In 2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) (pp. 727-731). IEEE.

· Alsinglawi, B., Alnajjar, F., Mubin, O. and Novoa, M., 2018, October. A Framework for Home-Based Stroke Rehabilitation Using Interactive Games and Augmented Reality Feedback. In International Conference on NeuroRehabilitation (pp. 252-255). Springer, Cham.

· Alsinglawi, B., Liu, T., Nguyen, Q.V., Gunawardana, U., Maeder, A. and Simoff, S.J., 2016. Passive RFID localisation framework in smart homes healthcare settings. In The Promise of New Technologies in an Age of New Health Challenges: Selected Papers from 5th Global Telehealth Conference 2016, Auckland, New Zealand, 1-2 November 2016 (pp. 1-8). ISBN: 978-1-61499-712-2

Thesis

· Alsinglawi, B., 2017. Location estimation in smart homes setting with RFID systems.