DSAL

AlDarmaki,H., , Asad Ullah,S., Zaki,N. (Accepted) vised Automatic Speech Recognition : A Review. Speech Communication (Q1).
Statsenko, Y., Habuza, T., Smetanina, D., Simiyu,G., Uzianbaeva,L.n., Gorkom,K., Zaki,N., et al.(2022). Brain morphometry and cognitive performance in normal brain aging: age- and sex-related structural and functional changes. Frontiers in Aging Neuroscience (Q1).
Al Zahmi, F., Habuza, T., Awawdeh, R., Elshekhali, H., Lee, M., Salamin, N., Sajid R, Kiran D., Nihalani S., Smetanina D., Talako T., Gorkom NV., Zaki N., Statsenko, Y. (2022). Ethnicity-Specific Features of COVID-19 Among Arabs, Africans, South Asians, East Asians, and Caucasians in the United Arab Emirates . Frontiers in Cellular and Infection Microbiology, 1241. (Q1)
Statsenko, Y., Al Zahmi, F., Habuza, T., Almansoori, T. M., Smetanina, D., Simiyu, G. L.,Al Koteesh, J. (2022). Impact of Age and Sex on COVID-19 Severity Assessed from Radiologic and Clinical Findings. . Frontiers in cellular and infection microbiology, 1395. (Q1)
Habuza,T., Zaki,N., Mohamed, EA., Statsenko, Y.(2022). Deviation From Model of Normal Aging in Alzheimer’s disease: Application of Deep Learning to Structural MRI data and Cognitive Tests. IEEE Access. (Q1)
Khan,Q., Kalbus, E., Zaki, N., Mohamed, MM.(2022). Utilization of social media in floods assessment using data mining techniques. PLos one 17 (4), e0267079. (Q1)
Khan, W., Zaki, N.(2022). COVID-19 Detection from Chest X-ray Using Deep Learning Ensemble Classifier. Data Intelligence and Cognitive Informatics, 429-441
Y Statsenko, T Habuza, E Fursa, A Ponomareva, TM Almansoori.(2022). Prognostication of incidence and severity of ischemic stroke in hot dry climate from environmental and non-environmental predictors. IEEE Access (Q1)

Statsenko, Y., Al Zahmi, F., Habuza, T., Gorkom, K. N. V., Zaki, N. (2021). Prediction of COVID-19 severity using laboratory findings on admission: informative values, thresholds, ML model performance. BMJ open, 11(2), e044500. (Q1).
Statsenko, Y., Habuza, T., Charykova, I., Gorkom, K. N. V., Zaki, N., Almansoori, T. M., Belghali, M. (2021). Predicting age from behavioral test performance for screening early onset of cognitive decline. Frontiers in Aging Neuroscience, 282. (Q1).
Al Breiki,B., Habuza,T., Shuqfa,Z., Serhani,M., Zaki,N., Harous,S. (2021) Customized Rule-Based Model to Identify At-risk Students and Propose Rational Remedial Actions. Big Data and Cognitive Computing. Big Data Cogn. Comput. 2021, 5(4), 71.(Q1).
Statsenko,Y., Habuza,T., Gorkom, K. N. V., Zaki,N., Almansoori,T.M., Al Zahmi,F., Ljubisavljevic,M., Belghali,M.(2021). Proportional changes in cognitive subdomains during normal brain aging. Aging Neurosci. (Q1).
Zaki,N., Singh,H., Mohamed, E. A. (2021) Identifying Protein Complexes in Protein-Protein Interaction Data Using Graph Convolutional Network. IEEE Access, vol. 9, pp. 123717-123726, 2021, doi: 10.1109/ACCESS.2021.3110845. (Q1).
AlBreiki,B., Zaki,N., Al Ashwal,H. (2021) A Systematic Literature Review of Student Performance Prediction Using Machine Learning Techniques. Educ. Sci. 2021, 11(9), 552. (Q1).
Zaki,N., Elfadil, M. (2021) The Estimations of the COVID-19 Incubation Period: A Scoping Reviews of the Literature. J. of Infection and Public Health. 14(5):638-646. (Q1).
Bashri, M., Zaki, N. (2021). #Allhandsondeck Shaun King and unite the right rally: mobilization and the networked social journalist. Atlantic Journal of Communication, 1-20. (Q2).
Habuza, T., Navaz, A. N., Hashim, F., Alnajjar, F., Zaki, N., Serhani, M. A., Statsenko, Y. (2021). AI applications in robotics, precision medicine, and medical image analysis: an overview and future trends. Informatics in Medicine Unlocked, 100596. Vol. 24, 100596.(Q2).
Khan, W., Zaki, N., Luqman, A. (2021). Intelligent Pneumonia Identification from Chest X-Rays: A Systematic Literature Review. IEEE Access. Vol 9, pp: 51747-51771, 2169-3536. (Q1).
Zaki,N., Mohamed,EA., Habuza,T. (2021). From Tabulated Data to Knowledge Graph: A Novel Way of Improving the Performance of the Classification Models in the Healthcare Data. medRxiv.
S Elyassami, Y Hamid, T Habuza.(2021). Road crashes analysis and prediction using gradient boosted and random forest trees. 2020 6th IEEE Congress on Information Science and Technology (CiSt), 520-525 (conference).
Y Statsenko, T Habuza, I Charykova, K Gorkom, N Zaki, T Almansoori.(2021). AI models of age-associated changes in CNS composition identified by MRI. Journal of the Neurological Sciences 429, 118303 (Q2).
Y Statsenko, T Habuza, I Charykova, K Gorkom, N Zaki, T Almansoori.(2021). Predicting cognitive age for screening for neurodegeneration. Journal of the Neurological Sciences 429 (Q2).
T Habuza, N Zaki, Y Statsenko, S Elyassami.(2021). MRI and cognitive tests-based screening tool for dementia. Journal of the Neurological Sciences 429, 118964 (Q2).
T Habuza, N Zaki, Y Statsenko, F Alnajjar, S Elyassami.(2021). Predicting the diagnosis of dementia from MRI data: added value to cognitive tests. The 7th Annual International Conference on Arab Women in Computing in … (Conference).
T Habuza, AN Navaz, F Hashim, F Alnajjar, N Zaki, MA Serhani.(2021). AI applications in robotics, diagnostic image analysis and precision medicine: Current limitations, future trends, guidelines on CAD systems for medicine. Informatics in Medicine Unlocked 24, 100596 (Q2).
T Habuza, N Zaki, Y Statsenko, F Alnajjar, S Elyassami.(2021). Deep learning for predicting cognitive gap as a reliable biomarker of dementia. medRxiv.
N, Zaki.(2021). Threshold values of the biomarkers predictive of COVID-19 severity. BMJ open (Q1).
M Arsalan, O Mubin, F Alnajjar, B Alsinglawi, N Zaki.(2021). Global and Temporal COVID-19 Risk Evaluation. Frontiers in Public Health (Q1).
N AlNuaimi, MM Masud, MA Serhani, N Zaki.(2021). Streaming feature selection algorithms for big data: A survey. Applied Computing and Informatics (Q1).

Statsenko,Y., Habuza,T., Gorkom, K. N. V., Zaki,N., Almansoori,T. (2020) Applying the Inverse Efficiency Score to Visual–Motor Task for Studying Speed-Accuracy Performance While Aging. Frontiers in Aging Neuroscience. (Q1)
Al Braiki, B., Harous, S., Zaki,N., Alnajjar, F. (2020) Artificial intelligence in education and assessment methods. Bulletin of Electrical Engineering and Informatics. 9 (5), 1998-2007 (SJR 0.23). (Q3)
Ali,L., Khan,W., Harous,S., Alnajjar,F., Zaki,N., Jassmi,H. (2020) Performance Evaluation of different Algorithms for Crack Detection in Concrete Structures. 2nd International Conf. on Computation, Automation and Knowledge Management (ICCAKM-2021), Dubai, 19-21 Jan 2021. (conference)
Zaki, NM., Alashwal H., Ibrahim S. (2020) Association of hypertension, diabetes, stroke, cancer, kidney disease, and high-cholesterol with COVID-19 disease severity and fatality: a systematic review. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(5), 2020,1133-1142. (Q1)
Habuza,T., Zaki, N. et al. (2020) Web-based multi-user concurrent job scheduling system on the shared computing resource objects. 14th International Conference on Innovations in Information Technology (IIT’20). (Conference)
Shuaib,K., Saleous,H., Zaki,N. (2020) A Layered Blockchain Framework for Healthcare and Genomics. SMARTCOMP’20. 14-17 Sept. 2020, Bologna, Italy. (Conference)
Zaki, N., Mohamed, EA., Ibrahim, S., Khan,G. (2020). The influence of comorbidity on the severity of COVID-19 disease: systematic review and analysis. medRxiv.
K Shuaib, H Saleous, N Zaki, F Dankar.(2021). A layered blockchain framework for healthcare and genomics. 2020 IEEE International Conference on Smart Computing (SMARTCOMP), 156-163 (Conference)

Balqis Al Braiki, Nazar Zaki, Mohamed Elfadil (2019) Using Educational Data Mining Techniques to Predict Student Performance. ICECTA'2019, AURAK, UAE.

Data Science and Analytics Lab (DSAL)

Publications

AlDarmaki,H., , Asad Ullah,S., Zaki,N. (Accepted) vised Automatic Speech Recognition : A Review. Speech Communication (Q1).

Statsenko, Y., Habuza, T., Smetanina, D., Simiyu,G., Uzianbaeva,L.n., Gorkom,K., Zaki,N., et al.(2022). Brain morphometry and cognitive performance in normal brain aging: age- and sex-related structural and functional changes. Frontiers in Aging Neuroscience (Q1).

Statsenko, Y., Al Zahmi, F., Habuza, T., Almansoori, T. M., Smetanina, D., Simiyu, G. L.,Al Koteesh, J. (2022). Impact of Age and Sex on COVID-19 Severity Assessed from Radiologic and Clinical Findings. . Frontiers in cellular and infection microbiology, 1395. (Q1)

Habuza,T., Zaki,N., Mohamed, EA., Statsenko, Y.(2022). Deviation From Model of Normal Aging in Alzheimer’s disease: Application of Deep Learning to Structural MRI data and Cognitive Tests. IEEE Access. (Q1)

Khan,Q., Kalbus, E., Zaki, N., Mohamed, MM.(2022). Utilization of social media in floods assessment using data mining techniques. PLos one 17 (4), e0267079. (Q1)

Khan, W., Zaki, N.(2022). COVID-19 Detection from Chest X-ray Using Deep Learning Ensemble Classifier. Data Intelligence and Cognitive Informatics, 429-441

Y Statsenko, T Habuza, E Fursa, A Ponomareva, TM Almansoori.(2022). Prognostication of incidence and severity of ischemic stroke in hot dry climate from environmental and non-environmental predictors. IEEE Access (Q1)

Statsenko, Y., Al Zahmi, F., Habuza, T., Gorkom, K. N. V., Zaki, N. (2021). Prediction of COVID-19 severity using laboratory findings on admission: informative values, thresholds, ML model performance. BMJ open, 11(2), e044500. (Q1).

Statsenko, Y., Habuza, T., Charykova, I., Gorkom, K. N. V., Zaki, N., Almansoori, T. M., Belghali, M. (2021). Predicting age from behavioral test performance for screening early onset of cognitive decline. Frontiers in Aging Neuroscience, 282. (Q1).

Al Breiki,B., Habuza,T., Shuqfa,Z., Serhani,M., Zaki,N., Harous,S. (2021) Customized Rule-Based Model to Identify At-risk Students and Propose Rational Remedial Actions. Big Data and Cognitive Computing. Big Data Cogn. Comput. 2021, 5(4), 71.(Q1).

Statsenko,Y., Habuza,T., Gorkom, K. N. V., Zaki,N., Almansoori,T.M., Al Zahmi,F., Ljubisavljevic,M., Belghali,M.(2021). Proportional changes in cognitive subdomains during normal brain aging. Aging Neurosci. (Q1).

Zaki,N., Singh,H., Mohamed, E. A. (2021) Identifying Protein Complexes in Protein-Protein Interaction Data Using Graph Convolutional Network. IEEE Access, vol. 9, pp. 123717-123726, 2021, doi: 10.1109/ACCESS.2021.3110845. (Q1).

AlBreiki,B., Zaki,N., Al Ashwal,H. (2021) A Systematic Literature Review of Student Performance Prediction Using Machine Learning Techniques. Educ. Sci. 2021, 11(9), 552. (Q1).

Zaki,N., Elfadil, M. (2021) The Estimations of the COVID-19 Incubation Period: A Scoping Reviews of the Literature. J. of Infection and Public Health. 14(5):638-646. (Q1).

Bashri, M., Zaki, N. (2021). #Allhandsondeck Shaun King and unite the right rally: mobilization and the networked social journalist. Atlantic Journal of Communication, 1-20. (Q2).

Habuza, T., Navaz, A. N., Hashim, F., Alnajjar, F., Zaki, N., Serhani, M. A., Statsenko, Y. (2021). AI applications in robotics, precision medicine, and medical image analysis: an overview and future trends. Informatics in Medicine Unlocked, 100596. Vol. 24, 100596.(Q2).

Khan, W., Zaki, N., Luqman, A. (2021). Intelligent Pneumonia Identification from Chest X-Rays: A Systematic Literature Review. IEEE Access. Vol 9, pp: 51747-51771, 2169-3536. (Q1).

Zaki,N., Mohamed,EA., Habuza,T. (2021). From Tabulated Data to Knowledge Graph: A Novel Way of Improving the Performance of the Classification Models in the Healthcare Data. medRxiv.

S Elyassami, Y Hamid, T Habuza.(2021). Road crashes analysis and prediction using gradient boosted and random forest trees. 2020 6th IEEE Congress on Information Science and Technology (CiSt), 520-525 (conference).

Y Statsenko, T Habuza, I Charykova, K Gorkom, N Zaki, T Almansoori.(2021). AI models of age-associated changes in CNS composition identified by MRI. Journal of the Neurological Sciences 429, 118303 (Q2).

Y Statsenko, T Habuza, I Charykova, K Gorkom, N Zaki, T Almansoori.(2021). Predicting cognitive age for screening for neurodegeneration. Journal of the Neurological Sciences 429 (Q2).

T Habuza, N Zaki, Y Statsenko, S Elyassami.(2021). MRI and cognitive tests-based screening tool for dementia. Journal of the Neurological Sciences 429, 118964 (Q2).

T Habuza, N Zaki, Y Statsenko, F Alnajjar, S Elyassami.(2021). Predicting the diagnosis of dementia from MRI data: added value to cognitive tests. The 7th Annual International Conference on Arab Women in Computing in … (Conference).

T Habuza, AN Navaz, F Hashim, F Alnajjar, N Zaki, MA Serhani.(2021). AI applications in robotics, diagnostic image analysis and precision medicine: Current limitations, future trends, guidelines on CAD systems for medicine. Informatics in Medicine Unlocked 24, 100596 (Q2).

T Habuza, N Zaki, Y Statsenko, F Alnajjar, S Elyassami.(2021). Deep learning for predicting cognitive gap as a reliable biomarker of dementia. medRxiv.

N, Zaki.(2021). Threshold values of the biomarkers predictive of COVID-19 severity. BMJ open (Q1).

M Arsalan, O Mubin, F Alnajjar, B Alsinglawi, N Zaki.(2021). Global and Temporal COVID-19 Risk Evaluation. Frontiers in Public Health (Q1).

N AlNuaimi, MM Masud, MA Serhani, N Zaki.(2021). Streaming feature selection algorithms for big data: A survey. Applied Computing and Informatics (Q1).

Statsenko,Y., Habuza,T., Gorkom, K. N. V., Zaki,N., Almansoori,T. (2020) Applying the Inverse Efficiency Score to Visual–Motor Task for Studying Speed-Accuracy Performance While Aging. Frontiers in Aging Neuroscience. (Q1)

Al Braiki, B., Harous, S., Zaki,N., Alnajjar, F. (2020) Artificial intelligence in education and assessment methods. Bulletin of Electrical Engineering and Informatics. 9 (5), 1998-2007 (SJR 0.23). (Q3)

Ali,L., Khan,W., Harous,S., Alnajjar,F., Zaki,N., Jassmi,H. (2020) Performance Evaluation of different Algorithms for Crack Detection in Concrete Structures. 2nd International Conf. on Computation, Automation and Knowledge Management (ICCAKM-2021), Dubai, 19-21 Jan 2021. (conference)

Zaki, NM., Alashwal H., Ibrahim S. (2020) Association of hypertension, diabetes, stroke, cancer, kidney disease, and high-cholesterol with COVID-19 disease severity and fatality: a systematic review. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(5), 2020,1133-1142. (Q1)

Habuza,T., Zaki, N. et al. (2020) Web-based multi-user concurrent job scheduling system on the shared computing resource objects. 14th International Conference on Innovations in Information Technology (IIT’20). (Conference)

Shuaib,K., Saleous,H., Zaki,N. (2020) A Layered Blockchain Framework for Healthcare and Genomics. SMARTCOMP’20. 14-17 Sept. 2020, Bologna, Italy. (Conference)

Zaki, N., Mohamed, EA., Ibrahim, S., Khan,G. (2020). The influence of comorbidity on the severity of COVID-19 disease: systematic review and analysis. medRxiv.

K Shuaib, H Saleous, N Zaki, F Dankar.(2021). A layered blockchain framework for healthcare and genomics. 2020 IEEE International Conference on Smart Computing (SMARTCOMP), 156-163 (Conference)

Balqis Al Braiki, Nazar Zaki, Mohamed Elfadil (2019) Using Educational Data Mining Techniques to Predict Student Performance. ICECTA'2019, AURAK, UAE.