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Olen nõus

Sherif Aly Ahmed Sakr

https://www.etis.ee/CV/Sherif_Sakr/est
17.08.1979
25.03.2020
sherif.sakr@ut.ee
http://kodu.ut.ee/sakr/
B-1439-2018

Teenistuskäik

Töökohad ja ametid
01.01.2018–25.03.2020   
Institute of Computer science, Juhtivteadur (1,00)

Kvalifikatsioon

Teaduspreemiad ja tunnustused
2019, Sherif Aly Ahmed Sakr, Abdulhameed Shoman Best Arab Scholar Award
2019, Sherif Aly Ahmed Sakr, International Conference on Advanced Information Systems Engineering (CAiSE'19) Best Paper Award
2017, Sherif Aly Ahmed Sakr, ACM Distinguished Speaker
2017, Sherif Aly Ahmed Sakr, IEEE Distinguished Speaker
2016, Sherif Aly Ahmed Sakr, King Abdullah International Medical Research Center - Best Researcher Award
2015, Sherif Aly Ahmed Sakr, ACM Senior Member
2013, Sherif Aly Ahmed Sakr, IEEE Senior Member
2011, Sherif Aly Ahmed Sakr, NICTA Impact Awards, A. Richard Newton Excellence in Wealth Creation Winner
 
 
Teadustöö põhisuunad
ETIS KLASSIFIKAATOR: 4. Loodusteadused ja tehnika; 4.6. Arvutiteadused; CERCS KLASSIFIKAATOR: P175 Informaatika, süsteemiteooria; TÄPSUSTUS: Data Systems
 
 
Lisainfo
Editor-in-Chief of the Springer Encyclopedia of Big Data Technologies
Associate Editor, IEEE Transactions on Sutsainable Computing
Associate Editor, Cluster Computing, Springer
Guest Editor, Future Generation Computer Systems, Elsevier
Guest Editor, Big Data Research, Elsevier
Associate Editor, ACM Computing Surveys

Jooksvad projektid

Juhendamisel väitekirjad

Juhendatud väitekirjad

Publikatsioonid

Klass
Aasta
Publikatsioon
 
1.1.
2019
Aluko, Victor; Sakr, Sherif (2019). Big SQL systems: an experimental evaluation. Cluster Computing, 22 (4), 1−25.10.1007/s10586-019-02914-4.
1.1.
2019
Daghistani, T. A., Elshawi, R., Sakr, S., Ahmed, A. M., Al-Thwayee, A., & Al-Mallah, M. H. (2019). Predictors of in-hospital length of stay among cardiac patients: A machine learning approach. International Journal of Cardiology.10.1016/j.ijcard.2019.01.046.
1.1.
2019
Yousef, Mohammed Zeyad Al; Ferwana, Mazen; Sakr, Sherif; Shammari, Riyad Al (2019). Early prediction of diabetes by applying data mining techniques. Computer Methods and Programs in Biomedicine, 171, 3. DOI: 10.1016/j.cmpb.2018.12.008.
1.1.
2019
Sakr, Sherif; Rabl, Tilmann; Hirzel, Martin; Carbone, Paris; Strohbach, Martin (2019). Dagstuhl Seminar on Big Stream Processing. ACM SIGMOD Record, 47 (3), 36−39.10.1145/3316416.3316426.
1.1.
2019
Rifai, Mahmoud Al; Qureshi, Waqas T.; Dardari, Zeina; Keteyian, Steven J.; Brawner, Clinton A.; Ehrman, Jon; Ahmed, Amjad; Sakr, Sherif; Virani, Salim S.; Blaha, Michael J.; Al-Mallah, Mouaz H. (2019). The Interplay of the Global Atherosclerotic Cardiovascular Disease Risk Scoring and Cardiorespiratory Fitness for the Prediction of All-Cause Mortality and Myocardial Infarction: The Henry Ford ExercIse Testing Project (The FIT Project). The American Journal of Cardiology, 1−10.10.1016/j.amjcard.2019.05.033.
1.1.
2019
Al-Mallah, Mouaz H.; Sakr, Sherif (2019). Artificial intelligence for plaque characterization: A scientific exercise looking for a clinical application. Atherosclerosis, 288, 158−159.10.1016/j.atherosclerosis.2019.06.914.
1.1.
2019
Elshawi, Radwa; Al-Mallah, Mouaz H.; Sakr, Sherif (2019). On the interpretability of machine learning-based model for predicting hypertension. BMC Medical Informatics and Decision Making, 19 (1), 1−32.10.1186/s12911-019-0874-0.
3.1.
2019
Mohamed Maher and Sherif Sakr (2019). SmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Machine Learning Algorithms. The 22nd International Conference on Extending Database Technology (EDBT'19), Lisbon, Portugal. EDBT, 554−557. DOI: 10.5441/002/edbt.2019.54.
3.1.
2019
Ahmed Awad, Jonas Traub and Sherif Sakr (2019). Adaptive Watermarks: A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams. The 22nd International Conference on Extending Database Technology (EDBT'19), Lisbon, Portugal. EDBT, 622−625. DOI: 10.5441/002/edbt.2019.71.
3.1.
2019
Ramzy, Ahmed; Awad, Ahmed; Kamel, Amr A.; Hegazy, Osman; Sakr, Sherif (2019). Calculation of Average Road Speed Based on Car-to-Car Messaging. 2019 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 1−8.10.1109/BIGCOMP.2019.8679294.
3.1.
2019
Mohamed Ragab, Mohamed Maher and Ahmed Awad and Sherif Sakr (2019). MINARET: A Recommendation Framework for Scientific Reviewers. The 22nd International Conference on Extending Database Technology (EDBT'19), Lisbon, Portugal. EDBT, 538−541. DOI: 10.5441/002/edbt.2019.50.
3.1.
2019
Awad, Ahmed; Tommasini, Riccardo; Kamel, Mahmoud; Della Valle, Emanuele; Sakr, Sherif (2019). D $$^2$$ 2 IA: Stream Analytics on User-Defined Event Intervals. In: Advanced Information Systems Engineering (346−361). Springer. (Lecture Notes in Computer Science).10.1007/978-3-030-21290-2_22.
3.1.
2019
Tommasini, Riccardo; Sakr, Sherif; Balduini, Marco; Valle, Emanuele Della (2019). An Outlook to Declarative Languages for Big Steaming Data. Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems - DEBS '19. Springer, 199−202.10.1145/3328905.3332462.
3.1.
2019
Shahverdi, Elkhan; Awad, Ahmed; Sakr, Sherif (2019). Big Stream Processing Systems: An Experimental Evaluation. 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW). IEEE, 53−60.10.1109/ICDEW.2019.00-35.
3.1.
2019
Tarun Khajuria, Eman Badr, Mouaz Al-Mallah, Sherif Sakr (2019). LDLCT: An Instance-based Framework for Lesion Detection on Lung CT Scans. The 32th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2019), Córdoba, Spain. IEEE, 1−4.10.1109/CBMS.2019.00106.
3.1.
2019
Elshawi, Radwa; Sherif, Youssef; Al-Mallah, Mouaz; Sakr, Sherif (2019). Interpretability in HealthCare A Comparative Study of Local Machine Learning Interpretability Techniques. 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 275−280.10.1109/CBMS.2019.00065.
3.1.
2019
ElShawi, Radwa; Sherif, Youssef; Al-Mallah, Mouaz; Sakr, Sherif (2019). ILIME: Local and Global Interpretable Model-Agnostic Explainer of Black-Box Decision. In: Advances in Databases and Information Systems (53−68). Springer. (Lecture Notes in Computer Science).10.1007/978-3-030-28730-6_4.
3.1.
2019
Mahmoud, Nesma; Essam, Youssef; Elshawi, Radwa; Sakr, Sherif (2019). DLBench: An Experimental Evaluation of Deep Learning Frameworks. 2019 IEEE International Congress on Big Data (BigDataCongress). IEEE, 149−156.10.1109/BigDataCongress.2019.00034.
3.1.
2019
Riccardo Tommasini, Mohamed Ragab, Alessandro Falcetta,Emanuele Della Valle, Sherif Sakr (2019). Bootstrapping the Publication of Linked Data Streams. Proceedings of the International Semantic Web Conference (ISWC 2019). CEUR, 1−4.x.
3.1.
2019
Mohamed Ragab, Riccardo Tommasini, and Sherif Sakr (2019). Benchmarking Spark-SQL under Alliterative RDF Relational Storage Backends. CEUR, 1−15.
3.1.
2019
Dyrmishi, Salijona; Elshawi, Radwa; Sakr, Sherif (2019). A Decision Support Framework for AutoML Systems: A Meta-Learning Approach. 2019 International Conference on Data Mining Workshops (ICDMW). IEEE, 97−106. DOI: 10.1109/ICDMW.2019.00025.
5.1.
2019
Mahmoud Sobhi Al Rifai, Amjad Ahmed, Michael Blaha, Fatimah Almasoudi, Sherif Sakr, Waqas Qureshi, Clinton Brawner, Jonathan Ehrman, Steven Keteyian and Mouaz Al-Mallah (2019). CARDIORESPIRATORY FITNESS AND INCIDENT STROKE TYPES: THE FIT (HENRY FORD EXERCISE TESTING) PROJECT. Journal of the American College of Cardiology, 73 (9), 1. DOI: 10.1016/S0735-1097(19)32303-4.
6.6.
2019
Radwa Eslhawi, Mohamed Maher, Sherif Sakr (2019). Automated Machine Learning: State-of-The-Art and Open Challenges. In: .
6.8.
2019
Sakr, Sherif; Zomaya, Albert; Vasilakos, Athanasios V. (2019). Editorial for Special issue of FGCS special issue on "Benchmarking big data systems". Future Generation Computer Systems, 96, 32−34.10.1016/j.future.2019.02.001.
6.8.
2019
Sherif Sakr,GiuseppeDi Modica, OrazioTomarchio (2019). Editorial for Special Issue of Journal of Big Data Research on "Geo-distributed Big Data Processing and Management". Big Data Research, 16, 59−59.10.1016/j.bdr.2019.05.001.
1.1.
2018
Wu, Huijun; Wang, Chen; Fu, Yinjin; Sakr, Sherif; Lu, Kai; Zhu, Liming (2018). A Differentiated Caching Mechanism to Enable Primary Storage Deduplication in Clouds. IEEE Transactions on Parallel and Distributed Systems, 29 (6), 1202−1216.10.1109/TPDS.2018.2790946.
1.1.
2018
Sakr, Sherif; Elshawi, Radwa; Ahmed, Amjad; Qureshi, Waqas T.; Brawner, Clinton; Keteyian, Steven; Blaha, Michael J.; Al-Mallah, Mouaz H. (2018). Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford Exercise Testing (FIT) Project. PLoS ONE, 13 (4), ARTN e0195344.10.1371/journal.pone.0195344.
1.1.
2018
Ahmed, Amjad M.; Qureshi, Waqas T.; Sakr, Sherif; Blaha, Michael J.; Brawner, Clinton A.; Ehrman, Jonathan K.; Keteyian, Steven J.; Al-Mallah, Mouaz H. (2018). Prognostic value of exercise capacity among patients with treated depression: The Henry Ford Exercise Testing (FIT) Project. Clinical Cardiology, 41 (4), 532−538.10.1002/clc.22923.
1.1.
2018
Al-Mallah, Mouaz H.; Sakr, Sherif; Al-Qunaibet, Ada (2018). Cardiorespiratory Fitness and Cardiovascular Disease Prevention: an Update. Current Atherosclerosis Reports, 20 (1), ARTN 1.10.1007/s11883-018-0711-4.
1.1.
2018
Radwa Elshawi, Sherif Sakr, Domenico Talia, Paolo Trunfio. (2018). Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service. Big Data Research, 14, 1−11.10.1016/j.bdr.2018.04.004.
1.1.
2018
Hirzel M., Baudart G., Bonifati A., Della Valle E., Sakr S., Vlachou A. (2018). Stream Processing Languages in the Big Data Era. ACM SIGMOD Record, 47 (2), 29−40.10.1145/3299887.3299892.
1.1.
2018
Sakr S., Maamer Z., Awad A., Benatallah B., Aalst W. (2018). Business Process Analytics and Big Data Systems: A Roadmap to Bridge the Gap. IEEE Access, 6, 77308−77320.10.1109/ACCESS.2018.2881759.
1.1.
2018
Wu, Dongyao; Zhu, Liming; Lu, Qinghua; Sakr, Sherif (2018). HDM: A Composable Framework for Big Data Processing. IEEE Transactions on Big Data, 4 (2), 150−163. DOI: 10.1109/TBDATA.2017.2690906.
2.1.
2018
Sherif Sakr, Marcin Wylot, Raghava Mutharaju, Danh Le Phuoc, Irini Fundulaki (2018). Linked Data: Storing, Querying, and Reasoning. Springer.
3.1.
2018
Aldakhil R., Almallah M., Sakr S. (2018). Predictive Model for the Incidence of Hyperkalemia for Congestive Heart Failure Patients on Spironolactone. IEEE International Conference on Healthcare Informatics, ICHI 2018, New York City, NY, USA, June 4-7, 2018. IEEE, 384−385.10.1109/ICHI.2018.00065.
3.1.
2018
Wu, Dongyao; Sakr, Sherif; Zhu, Liming; Lee, Sung; Wu, Huijun (2018). HDM-MC in-Action: A Framework for Big Data Analytics across Multiple Clusters. 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS). IEEE, 1547−1550.10.1109/ICDCS.2018.00165.
4.1.
2018
Sakr, Sherif; Zomaya, Albert (2018). Encyclopedia of Big Data Technologies. Springer. DOI: 10.1007/978-3-319-63962-8.
6.1.
2018
Sakr, Sherif (2018). NoSQL Database Systems. In: Encyclopedia of Big Data Technologies (1−6). Springer. DOI: 10.1007/978-3-319-63962-8_50-2.
6.1.
2018
Wylot, Marcin; Sakr, Sherif (2018). Framework-Based Scale-Out RDF Systems. In: Encyclopedia of Big Data Technologies (1−7). Springer. DOI: 10.1007/978-3-319-63962-8_225-1.
6.1.
2018
Wylot, Marcin; Sakr, Sherif (2018). Native Distributed RDF Systems. In: Encyclopedia of Big Data Technologies (1−8). Springer. DOI: 10.1007/978-3-319-63962-8_226-1.
6.8.
2018
Barnawi, A.; Awad, A.; Elgammal, A.; Shawi, R.E.; Almalaise, A.; Sakr, S.; (2018). Correction to: Runtime self-monitoring approach of business process compliance in cloud environments. In: Cluster Computing (1).10.1007/s10586-018-2133-z.
6.8.
2018
Sakr, Sherif; Zomaya, Albert (2018). Editorial for Special Issue of Journal of Big Data Research on "Big Medical/Healthcare Data Analytics". Big Data Research, 13, 1−2.10.1016/j.bdr.2018.08.002.
1.1.
2017
Baca, Radim; Kratky, Michal; Holubova, Irena; Necasky, Martin; Skopal, Tomas; Svoboda, Martin; Sakr, Sherif (2017). Structural XML Query Processing. ACM Computing Surveys, 50 (5), ARTN 64.10.1145/3095798.
1.1.
2017
Sakr, Sherif; Elshawi, Radwa; Ahmed, Amjad M.; Qureshi, Waqas T.; Brawner, Clinton A.; Keteyian, Steven J.; Blaha, Michael J.; Al-Mallah, Mouaz H. (2017). Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project. BMC Medical Informatics and Decision Making, 17, ARTN 174.10.1186/s12911-017-0566-6.
1.1.
2017
Al-Mallah, Mouaz H.; Elshawi, Radwa; Ahmed, Amjad M.; Qureshi, Waqas T.; Brawner, Clinton A.; Blaha, Michael J.; Ahmed, Haitham M.; Ehrman, Jonathan K.; Keteyian, Steven J.; Sakr, Sherif (2017). Using Machine Learning to Define the Association between Cardiorespiratory Fitness and All-Cause Mortality (from the Henry Ford Exercise Testing Project). The American Journal of Cardiology, 120 (11), 2078−2084.10.1016/j.amjcard.2017.08.029.
1.1.
2017
Alghamdi, Manal; Al-Mallah, Mouaz; Keteylan, Steven; Brawner, Clinton; Ehrman, Jonathan; Sakr, Sherif (2017). Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project. PLoS ONE, 12 (7), ARTN e0179805.10.1371/journal.pone.0179805.
1.1.
2017
Kupsky, Daniel F.; Ahmed, Amjad M.; Sakr, Sherif; Qureshi, Waqas T.; Brawner, Clinton A.; Blaha, Michael J.; Ehrman, Jonathan K.; Keteyian, Steven J.; Al-Mallah, Mouaz H. (2017). Cardiorespiratory fitness and incident heart failure: The Henry Ford Exercise Testing (FIT) Project. American Heart Journal, 185, 35−42. DOI: 10.1016/j.ahj.2016.12.006.
1.1.
2017
Sakr, Sherif (2017). Big Data Processing Stacks. IT Professional, 19 (1), 34−41.10.1109/MITP.2017.6.
1.1.
2017
Al Rifai, Mahmoud; Patel, Jaideep; Hung, Rupert K.; Nasir, Khurram; Keteyian, Steven J.; Brawner, Clinton A.; Ehrman, Jonathan K.; Sakr, Sherif; Blumenthal, Roger S.; Blaha, Michael J.; Al-Mallah, Mouaz H. (2017). Higher Fitness Is Strongly Protective in Patients with Family History of Heart Disease: The FIT Project. The American Journal of Medicine, 130 (3), 367−371.10.1016/j.amjmed.2016.09.026.
1.1.
2017
Al-Khateeb, May; Qureshi, Waqas T.; Odeh, Raed; Ahmed, Amjad M.; Sakr, Sherif; Elshawi, Radwa; Bdeir, M. Bassam; Al-Mallah, Mouaz H. (2017). The impact of digoxin on mortality in patientswith chronic systolic heart failure: A propensity-matched cohort study. International Journal of Cardiology, 228, 214−218.10.1016/j.ijcard.2016.11.021.
3.1.
2017
Zakaria Maamar, Noura Faci, Mohamed Sellami, Khouloud Boukadi, Fadwa Yahya, Ahmed Barnawi, Sherif Sakr (2017). On Business Process Monitoring Using Cross-Flow Coordination. Service Oriented Computing and Applications, 1.
3.1.
2017
Marcin Wylot, Manfred Hauswirth, Philippe Cudré-Mauroux, Sherif Sakr. (2017). RDF Data Storage and Query Processing Schemes: A Survey. Journal of ACM Computing Surveys , 1.
4.1.
2017
Albert Zomaya and Sherif Sakr (2017). Handbook of Big Data Technologies. Springer.
5.1.
2017
Ahmed, Amjad M.; Sulaiman, Ihab; Ahmed, Dalia; Alfaris, Mousa; Aldosari, Misfer; Aljizeeri, Ahmed; Alsaileek, Ahmed; Sulaiman, Abdulbaset; Sakr, Sherif; Al-Mallah, Mouaz (2017). INCREMENTAL PROGNOSTIC VALUE OF CORONARY CALCIUM SCORING IN PATIENTS UNDERGOING 82-RUBIDIUM MYOCARDIAL PERFUSION IMAGING. Journal of the American College of Cardiology, 69 (11), 1409−1409.
5.1.
2017
Ahmed, Amjad M.; Sulaiman, Ihab; Alfaris, Mousa; Ahmed, Dalia; Aljizeeri, Ahmed; Alsaileek, Ahmed; Sulaiman, Abdulbaset; Sakr, Sherif; Al-Mallah, Mouaz (2017). NON-INVASIVE CORONARY FLOW RESERVE PREDICTS MAJOR ADVERSE CARDIAC EVENTS IN PATIENTS WITH PRIOR CORONARY ARTERY BYPASS GRAFTING. Journal of the American College of Cardiology, 69 (11), 1400−1400.
5.1.
2017
Al-Mallah, Mouaz H.; Ahmed, Amjad; Qureshi, Waqas; Elshawi, Radwa; Brawner, Clinton; Blaha, Michael; Ahmed, Haitham; Ehrman, Jonathan; Keteyian, Steven; Sakr, Sherif (2017). USING MACHINE LEARNING TO DEFINE THE ASSOCIATION BETWEEN CARDIORESPIRATORY FITNESS AND ALL-CAUSE MORTALITY: THE FIT (HENRY FORD EXERCISE TESTING) PROJECT. Journal of the American College of Cardiology, 69 (11), 1612−1612.
1.1.
2016
Bajaber, Fuad; Elshawi, Radwa; Batarfi, Omar; Altalhi, Abdulrahman; Barnawi, Ahmed; Sakr, Sherif (2016). Big Data 2.0 Processing Systems: Taxonomy and Open Challenges. Journal of Grid Computing, 14 (3), 379−405.10.1007/s10723-016-9371-1.
1.1.
2016
Batarfi, Omar; Elshawi, Radwa; Fayoumi, Ayman; Barnawi, Ahmed; Sakr, Sherif (2016). A distributed query execution engine of big attributed graphs. SpringerPlus, 5, ARTN 665.10.1186/s40064-016-2251-0.
1.1.
2016
Maamar, Zakaria; Faci, Noura; Sakr, Sherif; Boukhebouze, Mohamed; Barnawi, Ahmed (2016). Network-based social coordination of business processes. Information Systems, 58, 56−74.10.1016/j.is.2016.02.005.
1.1.
2016
Sherif Sakr, Amal Elgammal (2016). Towards a Comprehensive Data Analytics Framework in Smart Healthcare Networks. Big Data Research, 4, 44−58. DOI: 10.1016/j.bdr.2016.05.002.
2.1.
2016
Sherif Sakr, Faisal Moeen Orakzai, Ibrahim Abdelaziz, Zuhair Khayyat (2016). Large-Scale Graph Processing Using Apache Giraph. Springer.
2.1.
2016
Sherif Sakr (2016). Big Data 2.0 Processing Systems: A Survey. Springer.
2.1.
2016
Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh, Ahmed Gater, Seung Hwan Ryu (2016). Process Analytics: Concepts and Techniques for Querying and Analyzing Process Data. Springer.
3.1.
2016
Ahmed Barnawi, Ahmed Awad, Amal Elgammal, Radwa Elshawi, Abduallah Almalaise, Sherif Sakr (2016). An Anti-Pattern-based Runtime Business Process Compliance Monitoring Framework. International Journal of Advanced Computer Science and Applications, 7 (2), 551−572.
3.1.
2016
Fuad Bajaber, Amin Shafaat, Omar Batarfi, Radwa Elshawi, Abdulrahman Altalhi, Ahmed Barnawi, Sherif Sakr (2016). A Cloud-Based Platform for Democratizing and Socializing the Benchmarking Process. International Journal of Advanced Computer Science and Applications, 7 (2), 519−530.
5.1.
2016
Kupsky, Daniel F.; Ahmed, Amjad M.; Sakr, Sherif; Qureshi, Waqas; Brawner, Clinton A.; Blaha, Michael J.; Ehrman, Jonathan K.; Keteyian, Steven J.; Al-Mallah, Mouaz (2016). Cardiorespiratory Fitness and Incident Heart Failure: The FIT (Henry Ford ExercIse Testing) Project. Circulation, 134, 1.
1.1.
2015
Batarfi, Omar; El Shawi, Radwa; Fayoumi, Ayman G.; Nouri, Reza; Beheshti, Seyed-Mehdi-Reza; Barnawi, Ahmed; Sakr, Sherif (2015). Large scale graph processing systems: survey and an experimental evaluation. Cluster Computing, 18 (3), 1189−1213.10.1007/s10586-015-0472-6.
1.1.
2015
Alomari, Ebtesam; Barnawi, Ahmed; Sakr, Sherif (2015). CDPort: A Portability Framework for NoSQL Datastores. Arabian Journal For Science and Engineering, 40 (9), 2531−2553. DOI: 10.1007/s13369-015-1703-0.
1.1.
2015
Zhao, Liang; Sakr, Sherif; Liu, Anna (2015). A Framework for Consumer-Centric SLA Management of Cloud-Hosted Databases. IEEE Transactions on Services Computing, 8 (4), 534−549.10.1109/TSC.2013.5.
1.1.
2015
Barnawi, A.; Awad, A.; Elgammal, A.; El Shawi, R.; Almalaise, A.; Sakr, S.; (2015). Runtime self-monitoring approach of business process compliance in cloud environments. Cluster Computing, 18, 1503−1526.10.1007/s10586-015-0494-0.
1.2.
2015
Zakaria Maamar, Noura Faci, Ejub Kajan, Sherif Sakr, Mohamed Boukhebouze and Ahmed Barnawi (2015). How to Make Business Processes Socialize? Industrial Networks and Intelligent Systems , 2 (5), 1−15.
3.1.
2015
Barnawi, A.; Awad, A.; Elgammal, A.; Elshawi, R.; Almalaise, A.; Sakr, S.; (2015). BP-MaaS: A runtime compliance-monitoring system for business processes. CEUR Workshop Proceedings, 1418. CEUR-WS, 25−29.
3.1.
2015
Awad, A.; Sakr, S.; Elgammal, A.; (2015). Compliance Monitoring as a Service: Requirements, Architecture and Implementation. 2015 International Conference on Cloud Computing, ICCC 2015. ICCC, 1−7.10.1109/CLOUDCOMP.2015.7149636.
3.1.
2015
Awad, A.; Barnawi, A.; Elgammal, A.; Elshawi, R.; Almalaise, A.; Sakr, S.; (2015). Runtime detection of business process compliance violations: An approach based on anti patterns? Proceedings of the ACM Symposium on Applied Computing, 13-17-April-2015. ACM, 1203−1210.10.1145/2695664.2699488.
3.1.
2015
Mohammed Hammoud, Dania Abdrabu, Reza Nouri, Seyed Behteshi, Sherif Sakr (2015). DREAM: Distributed RDF Engine with Adaptive Query Planner and Minimal Communication. Proceedings of the VLDB Endowment, 8 (6), 654−666.10.14778/2735703.2735705.
1.1.
2014
Sakr, Sherif (2014). Cloud-hosted databases: technologies, challenges and opportunities. Cluster Computing, 17 (2), 487−502.10.1007/s10586-013-0290-7.
1.1.
2014
Sakr, Sherif; Elnikety, Sameh; He, Yuxiong (2014). Hybrid query execution engine for large attributed graphs. Information Systems, 41, 45−73.10.1016/j.is.2013.10.007.
2.1.
2014
Sherif Sakr and Mohamed Gaber (2014). Large Scale and Big Data: Processing and Management. CRC Press Taylor Francis Group.
2.1.
2014
Liang Zhao, Sherif Sakr, Anna Liu, Athman Bouguettaya (2014). Cloud Data Management. Springer.
1.1.
2013
Sakr, Sherif; Liu, Anna; Fayoumi, Ayman G. (2013). The Family of MapReduce and Large-Scale Data Processing Systems. ACM Computing Surveys, 46 (1), ARTN 11.10.1145/2522968.2522979.
1.1.
2012
Awad, Ahmed; Sakr, Sherif (2012). On efficient processing of BPMN-Q queries. Computers in Industry, 63 (9), 867−881.10.1016/j.compind.2012.06.002.
1.1.
2012
Sakr, Sherif; Alomari, Mohammad (2012). A decade of database conferences: a look inside the program committees. Scientometrics, 91 (1), 173−184.10.1007/s11192-011-0530-7.
1.1.
2012
Basem Suleiman, Sherif Sakr, Ross Jeffery and Anna Liu (2012). On Understanding the Economics and Elasticity Challenges of Deploying Business Applications on Public Cloud Infrastructure. Journal of Internet Services and Applications, 1.
1.1.
2012
Hooran MahmoudiNasab, Sherif Sakr (2012). AdaptRDF: Adaptive Storage Management for RDF Databases. International Journal of Web Information Systems, 8 (2), 234−250.
2.1.
2012
Sherif Sakr and Eric Pardede (2012). Graph Data Management: Techniques and Applications. IGI Global.
1.1.
2011
Sakr, S.; Warde, E.; Tchernycheva, M.; Rigutti, L.; Isac, N.; Julien, F. H. (2011). Origin of the electrical instabilities in GaN/AlGaN double-barrier structure. Applied Physics Letters, 99 (14), ARTN 142103.10.1063/1.3645011.
1.1.
2011
Sakr, Sherif; Liu, Anna; Batista, Daniel M.; Alomari, Mohammad (2011). A Survey of Large Scale Data Management Approaches in Cloud Environments. IEEE Communications Surveys & Tutorials, 13 (3), 311−336.10.1109/SURV.2011.032211.00087.
1.1.
2011
Sakr, Sherif; Alomari, Mohammad (2011). A decade of database research publications: a look inside. Scientometrics, 88 (2), 521−533.10.1007/s11192-011-0385-y.
1.1.
2011
Pascalau, E.; Awad, A.; Sakr, S.; Weske, M.; (2011). Partial process models to manage business process variants. International Journal of Business Process Integration and Management, 5 (3), 240−256.10.1504/IJBPIM.2011.042528.
1.1.
2010
Sakr, Sherif; Al-Naymat, Ghazi (2010). Efficient Relational Techniques for Processing Graph Queries. Journal of Computer Science and Technology, 25 (6), 1237−1255. DOI: 10.1007/s11390-010-9402-5.
1.1.
2010
Sherif Sakr (2010). Towards a Comprehensive Assessment for Selectivity Estimation Approaches of XML Queries. International Journal of Web Engineering and Technology, 6 (1), 58−82.10.1504/IJWET.2010.034760.
1.1.
2010
Sherif Sakr, Ghazi Al-Naymat. (2010). Graph Indexing and Querying: A Review. International Journal of Web Information Systems, 6 (2), 101−120.10.1108/17440081011053104.
1.1.
2009
Sakr, Sherif (2009). XML compression techniques: A survey and comparison. Journal of Computer and System Sciences, 75 (5), 303−322. DOI: 10.1016/j.jcss.2009.01.004.
1.1.
2009
Sakr, Sherif; Al-Naymat, Ghazi (2009). Relational Processing of RDF Queries: A Survey. Sigmod Record, 38 (4), 23−28.
1.1.
2009
Sakr, Sherif (2009). Cardinality-Aware Purely Relational XQuery Processor. Journal of Database Management, 20 (3), 76−125.
1.1.
2008
Sherif Sakr (2008). Algebra-Based XQuery Cardinality Estimation. International Journal of Web Information Systems, 4 (1), 6−47.
3.1.
2008
Jens Teubner, Torsten Grust, Sebastian Maneth, Sherif Sakr (2008). Dependable Cardinality Forecasts for XQuery. Proceedings of the VLDB Endowment, 1 (1), 463−477.
18.01.2020

Sherif Aly Ahmed Sakr

https://www.etis.ee/CV/Sherif_Sakr/eng
17.08.1979
25.03.2020
sherif.sakr@ut.ee
B-1439-2018

Career

Institutions and positions
01.01.2018–25.03.2020   
Institute of Computer science, Research Professor (1,00)

Qualifications

Honours & awards
2019, Sherif Aly Ahmed Sakr, Abdulhameed Shoman Best Arab Scholar Award
2019, Sherif Aly Ahmed Sakr, International Conference on Advanced Information Systems Engineering (CAiSE'19) Best Paper Award
2017, Sherif Aly Ahmed Sakr, ACM Distinguished Speaker
2017, Sherif Aly Ahmed Sakr, IEEE Distinguished Speaker
2016, Sherif Aly Ahmed Sakr, King Abdullah International Medical Research Center - Best Researcher Award
2015, Sherif Aly Ahmed Sakr, ACM Senior Member
2013, Sherif Aly Ahmed Sakr, IEEE Senior Member
2011, Sherif Aly Ahmed Sakr, NICTA Impact Awards, A. Richard Newton Excellence in Wealth Creation Winner
 
 
Fields of research
ETIS CLASSIFICATION: 4. Natural Sciences and Engineering; 4.6. Computer Sciences; CERCS CLASSIFICATION: P175 Informatics, systems theory ; SPECIFICATION: Data Systems
 
 
Additional information
Editor-in-Chief of the Springer Encyclopedia of Big Data Technologies
Associate Editor, IEEE Transactions on Sutsainable Computing
Associate Editor, Cluster Computing, Springer
Guest Editor, Future Generation Computer Systems, Elsevier
Guest Editor, Big Data Research, Elsevier
Associate Editor, ACM Computing Surveys

Projects in progress

Dissertations under supervision

Supervised dissertations

Publications

Category
Year
Publication
 
1.1.
2019
Aluko, Victor; Sakr, Sherif (2019). Big SQL systems: an experimental evaluation. Cluster Computing, 22 (4), 1−25.10.1007/s10586-019-02914-4.
1.1.
2019
Daghistani, T. A., Elshawi, R., Sakr, S., Ahmed, A. M., Al-Thwayee, A., & Al-Mallah, M. H. (2019). Predictors of in-hospital length of stay among cardiac patients: A machine learning approach. International Journal of Cardiology.10.1016/j.ijcard.2019.01.046.
1.1.
2019
Yousef, Mohammed Zeyad Al; Ferwana, Mazen; Sakr, Sherif; Shammari, Riyad Al (2019). Early prediction of diabetes by applying data mining techniques. Computer Methods and Programs in Biomedicine, 171, 3. DOI: 10.1016/j.cmpb.2018.12.008.
1.1.
2019
Sakr, Sherif; Rabl, Tilmann; Hirzel, Martin; Carbone, Paris; Strohbach, Martin (2019). Dagstuhl Seminar on Big Stream Processing. ACM SIGMOD Record, 47 (3), 36−39.10.1145/3316416.3316426.
1.1.
2019
Rifai, Mahmoud Al; Qureshi, Waqas T.; Dardari, Zeina; Keteyian, Steven J.; Brawner, Clinton A.; Ehrman, Jon; Ahmed, Amjad; Sakr, Sherif; Virani, Salim S.; Blaha, Michael J.; Al-Mallah, Mouaz H. (2019). The Interplay of the Global Atherosclerotic Cardiovascular Disease Risk Scoring and Cardiorespiratory Fitness for the Prediction of All-Cause Mortality and Myocardial Infarction: The Henry Ford ExercIse Testing Project (The FIT Project). The American Journal of Cardiology, 1−10.10.1016/j.amjcard.2019.05.033.
1.1.
2019
Al-Mallah, Mouaz H.; Sakr, Sherif (2019). Artificial intelligence for plaque characterization: A scientific exercise looking for a clinical application. Atherosclerosis, 288, 158−159.10.1016/j.atherosclerosis.2019.06.914.
1.1.
2019
Elshawi, Radwa; Al-Mallah, Mouaz H.; Sakr, Sherif (2019). On the interpretability of machine learning-based model for predicting hypertension. BMC Medical Informatics and Decision Making, 19 (1), 1−32.10.1186/s12911-019-0874-0.
3.1.
2019
Mohamed Maher and Sherif Sakr (2019). SmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Machine Learning Algorithms. The 22nd International Conference on Extending Database Technology (EDBT'19), Lisbon, Portugal. EDBT, 554−557. DOI: 10.5441/002/edbt.2019.54.
3.1.
2019
Ahmed Awad, Jonas Traub and Sherif Sakr (2019). Adaptive Watermarks: A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams. The 22nd International Conference on Extending Database Technology (EDBT'19), Lisbon, Portugal. EDBT, 622−625. DOI: 10.5441/002/edbt.2019.71.
3.1.
2019
Ramzy, Ahmed; Awad, Ahmed; Kamel, Amr A.; Hegazy, Osman; Sakr, Sherif (2019). Calculation of Average Road Speed Based on Car-to-Car Messaging. 2019 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 1−8.10.1109/BIGCOMP.2019.8679294.
3.1.
2019
Mohamed Ragab, Mohamed Maher and Ahmed Awad and Sherif Sakr (2019). MINARET: A Recommendation Framework for Scientific Reviewers. The 22nd International Conference on Extending Database Technology (EDBT'19), Lisbon, Portugal. EDBT, 538−541. DOI: 10.5441/002/edbt.2019.50.
3.1.
2019
Awad, Ahmed; Tommasini, Riccardo; Kamel, Mahmoud; Della Valle, Emanuele; Sakr, Sherif (2019). D $$^2$$ 2 IA: Stream Analytics on User-Defined Event Intervals. In: Advanced Information Systems Engineering (346−361). Springer. (Lecture Notes in Computer Science).10.1007/978-3-030-21290-2_22.
3.1.
2019
Tommasini, Riccardo; Sakr, Sherif; Balduini, Marco; Valle, Emanuele Della (2019). An Outlook to Declarative Languages for Big Steaming Data. Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems - DEBS '19. Springer, 199−202.10.1145/3328905.3332462.
3.1.
2019
Shahverdi, Elkhan; Awad, Ahmed; Sakr, Sherif (2019). Big Stream Processing Systems: An Experimental Evaluation. 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW). IEEE, 53−60.10.1109/ICDEW.2019.00-35.
3.1.
2019
Tarun Khajuria, Eman Badr, Mouaz Al-Mallah, Sherif Sakr (2019). LDLCT: An Instance-based Framework for Lesion Detection on Lung CT Scans. The 32th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2019), Córdoba, Spain. IEEE, 1−4.10.1109/CBMS.2019.00106.
3.1.
2019
Elshawi, Radwa; Sherif, Youssef; Al-Mallah, Mouaz; Sakr, Sherif (2019). Interpretability in HealthCare A Comparative Study of Local Machine Learning Interpretability Techniques. 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 275−280.10.1109/CBMS.2019.00065.
3.1.
2019
ElShawi, Radwa; Sherif, Youssef; Al-Mallah, Mouaz; Sakr, Sherif (2019). ILIME: Local and Global Interpretable Model-Agnostic Explainer of Black-Box Decision. In: Advances in Databases and Information Systems (53−68). Springer. (Lecture Notes in Computer Science).10.1007/978-3-030-28730-6_4.
3.1.
2019
Mahmoud, Nesma; Essam, Youssef; Elshawi, Radwa; Sakr, Sherif (2019). DLBench: An Experimental Evaluation of Deep Learning Frameworks. 2019 IEEE International Congress on Big Data (BigDataCongress). IEEE, 149−156.10.1109/BigDataCongress.2019.00034.
3.1.
2019
Riccardo Tommasini, Mohamed Ragab, Alessandro Falcetta,Emanuele Della Valle, Sherif Sakr (2019). Bootstrapping the Publication of Linked Data Streams. Proceedings of the International Semantic Web Conference (ISWC 2019). CEUR, 1−4.x.
3.1.
2019
Mohamed Ragab, Riccardo Tommasini, and Sherif Sakr (2019). Benchmarking Spark-SQL under Alliterative RDF Relational Storage Backends. CEUR, 1−15.
3.1.
2019
Dyrmishi, Salijona; Elshawi, Radwa; Sakr, Sherif (2019). A Decision Support Framework for AutoML Systems: A Meta-Learning Approach. 2019 International Conference on Data Mining Workshops (ICDMW). IEEE, 97−106. DOI: 10.1109/ICDMW.2019.00025.
5.1.
2019
Mahmoud Sobhi Al Rifai, Amjad Ahmed, Michael Blaha, Fatimah Almasoudi, Sherif Sakr, Waqas Qureshi, Clinton Brawner, Jonathan Ehrman, Steven Keteyian and Mouaz Al-Mallah (2019). CARDIORESPIRATORY FITNESS AND INCIDENT STROKE TYPES: THE FIT (HENRY FORD EXERCISE TESTING) PROJECT. Journal of the American College of Cardiology, 73 (9), 1. DOI: 10.1016/S0735-1097(19)32303-4.
6.6.
2019
Radwa Eslhawi, Mohamed Maher, Sherif Sakr (2019). Automated Machine Learning: State-of-The-Art and Open Challenges. In: .
6.8.
2019
Sakr, Sherif; Zomaya, Albert; Vasilakos, Athanasios V. (2019). Editorial for Special issue of FGCS special issue on "Benchmarking big data systems". Future Generation Computer Systems, 96, 32−34.10.1016/j.future.2019.02.001.
6.8.
2019
Sherif Sakr,GiuseppeDi Modica, OrazioTomarchio (2019). Editorial for Special Issue of Journal of Big Data Research on "Geo-distributed Big Data Processing and Management". Big Data Research, 16, 59−59.10.1016/j.bdr.2019.05.001.
1.1.
2018
Wu, Huijun; Wang, Chen; Fu, Yinjin; Sakr, Sherif; Lu, Kai; Zhu, Liming (2018). A Differentiated Caching Mechanism to Enable Primary Storage Deduplication in Clouds. IEEE Transactions on Parallel and Distributed Systems, 29 (6), 1202−1216.10.1109/TPDS.2018.2790946.
1.1.
2018
Sakr, Sherif; Elshawi, Radwa; Ahmed, Amjad; Qureshi, Waqas T.; Brawner, Clinton; Keteyian, Steven; Blaha, Michael J.; Al-Mallah, Mouaz H. (2018). Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford Exercise Testing (FIT) Project. PLoS ONE, 13 (4), ARTN e0195344.10.1371/journal.pone.0195344.
1.1.
2018
Ahmed, Amjad M.; Qureshi, Waqas T.; Sakr, Sherif; Blaha, Michael J.; Brawner, Clinton A.; Ehrman, Jonathan K.; Keteyian, Steven J.; Al-Mallah, Mouaz H. (2018). Prognostic value of exercise capacity among patients with treated depression: The Henry Ford Exercise Testing (FIT) Project. Clinical Cardiology, 41 (4), 532−538.10.1002/clc.22923.
1.1.
2018
Al-Mallah, Mouaz H.; Sakr, Sherif; Al-Qunaibet, Ada (2018). Cardiorespiratory Fitness and Cardiovascular Disease Prevention: an Update. Current Atherosclerosis Reports, 20 (1), ARTN 1.10.1007/s11883-018-0711-4.
1.1.
2018
Radwa Elshawi, Sherif Sakr, Domenico Talia, Paolo Trunfio. (2018). Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service. Big Data Research, 14, 1−11.10.1016/j.bdr.2018.04.004.
1.1.
2018
Hirzel M., Baudart G., Bonifati A., Della Valle E., Sakr S., Vlachou A. (2018). Stream Processing Languages in the Big Data Era. ACM SIGMOD Record, 47 (2), 29−40.10.1145/3299887.3299892.
1.1.
2018
Sakr S., Maamer Z., Awad A., Benatallah B., Aalst W. (2018). Business Process Analytics and Big Data Systems: A Roadmap to Bridge the Gap. IEEE Access, 6, 77308−77320.10.1109/ACCESS.2018.2881759.
1.1.
2018
Wu, Dongyao; Zhu, Liming; Lu, Qinghua; Sakr, Sherif (2018). HDM: A Composable Framework for Big Data Processing. IEEE Transactions on Big Data, 4 (2), 150−163. DOI: 10.1109/TBDATA.2017.2690906.
2.1.
2018
Sherif Sakr, Marcin Wylot, Raghava Mutharaju, Danh Le Phuoc, Irini Fundulaki (2018). Linked Data: Storing, Querying, and Reasoning. Springer.
3.1.
2018
Aldakhil R., Almallah M., Sakr S. (2018). Predictive Model for the Incidence of Hyperkalemia for Congestive Heart Failure Patients on Spironolactone. IEEE International Conference on Healthcare Informatics, ICHI 2018, New York City, NY, USA, June 4-7, 2018. IEEE, 384−385.10.1109/ICHI.2018.00065.
3.1.
2018
Wu, Dongyao; Sakr, Sherif; Zhu, Liming; Lee, Sung; Wu, Huijun (2018). HDM-MC in-Action: A Framework for Big Data Analytics across Multiple Clusters. 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS). IEEE, 1547−1550.10.1109/ICDCS.2018.00165.
4.1.
2018
Sakr, Sherif; Zomaya, Albert (2018). Encyclopedia of Big Data Technologies. Springer. DOI: 10.1007/978-3-319-63962-8.
6.1.
2018
Sakr, Sherif (2018). NoSQL Database Systems. In: Encyclopedia of Big Data Technologies (1−6). Springer. DOI: 10.1007/978-3-319-63962-8_50-2.
6.1.
2018
Wylot, Marcin; Sakr, Sherif (2018). Framework-Based Scale-Out RDF Systems. In: Encyclopedia of Big Data Technologies (1−7). Springer. DOI: 10.1007/978-3-319-63962-8_225-1.
6.1.
2018
Wylot, Marcin; Sakr, Sherif (2018). Native Distributed RDF Systems. In: Encyclopedia of Big Data Technologies (1−8). Springer. DOI: 10.1007/978-3-319-63962-8_226-1.
6.8.
2018
Barnawi, A.; Awad, A.; Elgammal, A.; Shawi, R.E.; Almalaise, A.; Sakr, S.; (2018). Correction to: Runtime self-monitoring approach of business process compliance in cloud environments. In: Cluster Computing (1).10.1007/s10586-018-2133-z.
6.8.
2018
Sakr, Sherif; Zomaya, Albert (2018). Editorial for Special Issue of Journal of Big Data Research on "Big Medical/Healthcare Data Analytics". Big Data Research, 13, 1−2.10.1016/j.bdr.2018.08.002.
1.1.
2017
Baca, Radim; Kratky, Michal; Holubova, Irena; Necasky, Martin; Skopal, Tomas; Svoboda, Martin; Sakr, Sherif (2017). Structural XML Query Processing. ACM Computing Surveys, 50 (5), ARTN 64.10.1145/3095798.
1.1.
2017
Sakr, Sherif; Elshawi, Radwa; Ahmed, Amjad M.; Qureshi, Waqas T.; Brawner, Clinton A.; Keteyian, Steven J.; Blaha, Michael J.; Al-Mallah, Mouaz H. (2017). Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project. BMC Medical Informatics and Decision Making, 17, ARTN 174.10.1186/s12911-017-0566-6.
1.1.
2017
Al-Mallah, Mouaz H.; Elshawi, Radwa; Ahmed, Amjad M.; Qureshi, Waqas T.; Brawner, Clinton A.; Blaha, Michael J.; Ahmed, Haitham M.; Ehrman, Jonathan K.; Keteyian, Steven J.; Sakr, Sherif (2017). Using Machine Learning to Define the Association between Cardiorespiratory Fitness and All-Cause Mortality (from the Henry Ford Exercise Testing Project). The American Journal of Cardiology, 120 (11), 2078−2084.10.1016/j.amjcard.2017.08.029.
1.1.
2017
Alghamdi, Manal; Al-Mallah, Mouaz; Keteylan, Steven; Brawner, Clinton; Ehrman, Jonathan; Sakr, Sherif (2017). Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project. PLoS ONE, 12 (7), ARTN e0179805.10.1371/journal.pone.0179805.
1.1.
2017
Kupsky, Daniel F.; Ahmed, Amjad M.; Sakr, Sherif; Qureshi, Waqas T.; Brawner, Clinton A.; Blaha, Michael J.; Ehrman, Jonathan K.; Keteyian, Steven J.; Al-Mallah, Mouaz H. (2017). Cardiorespiratory fitness and incident heart failure: The Henry Ford Exercise Testing (FIT) Project. American Heart Journal, 185, 35−42. DOI: 10.1016/j.ahj.2016.12.006.
1.1.
2017
Sakr, Sherif (2017). Big Data Processing Stacks. IT Professional, 19 (1), 34−41.10.1109/MITP.2017.6.
1.1.
2017
Al Rifai, Mahmoud; Patel, Jaideep; Hung, Rupert K.; Nasir, Khurram; Keteyian, Steven J.; Brawner, Clinton A.; Ehrman, Jonathan K.; Sakr, Sherif; Blumenthal, Roger S.; Blaha, Michael J.; Al-Mallah, Mouaz H. (2017). Higher Fitness Is Strongly Protective in Patients with Family History of Heart Disease: The FIT Project. The American Journal of Medicine, 130 (3), 367−371.10.1016/j.amjmed.2016.09.026.
1.1.
2017
Al-Khateeb, May; Qureshi, Waqas T.; Odeh, Raed; Ahmed, Amjad M.; Sakr, Sherif; Elshawi, Radwa; Bdeir, M. Bassam; Al-Mallah, Mouaz H. (2017). The impact of digoxin on mortality in patientswith chronic systolic heart failure: A propensity-matched cohort study. International Journal of Cardiology, 228, 214−218.10.1016/j.ijcard.2016.11.021.
3.1.
2017
Zakaria Maamar, Noura Faci, Mohamed Sellami, Khouloud Boukadi, Fadwa Yahya, Ahmed Barnawi, Sherif Sakr (2017). On Business Process Monitoring Using Cross-Flow Coordination. Service Oriented Computing and Applications, 1.
3.1.
2017
Marcin Wylot, Manfred Hauswirth, Philippe Cudré-Mauroux, Sherif Sakr. (2017). RDF Data Storage and Query Processing Schemes: A Survey. Journal of ACM Computing Surveys , 1.
4.1.
2017
Albert Zomaya and Sherif Sakr (2017). Handbook of Big Data Technologies. Springer.
5.1.
2017
Ahmed, Amjad M.; Sulaiman, Ihab; Ahmed, Dalia; Alfaris, Mousa; Aldosari, Misfer; Aljizeeri, Ahmed; Alsaileek, Ahmed; Sulaiman, Abdulbaset; Sakr, Sherif; Al-Mallah, Mouaz (2017). INCREMENTAL PROGNOSTIC VALUE OF CORONARY CALCIUM SCORING IN PATIENTS UNDERGOING 82-RUBIDIUM MYOCARDIAL PERFUSION IMAGING. Journal of the American College of Cardiology, 69 (11), 1409−1409.
5.1.
2017
Ahmed, Amjad M.; Sulaiman, Ihab; Alfaris, Mousa; Ahmed, Dalia; Aljizeeri, Ahmed; Alsaileek, Ahmed; Sulaiman, Abdulbaset; Sakr, Sherif; Al-Mallah, Mouaz (2017). NON-INVASIVE CORONARY FLOW RESERVE PREDICTS MAJOR ADVERSE CARDIAC EVENTS IN PATIENTS WITH PRIOR CORONARY ARTERY BYPASS GRAFTING. Journal of the American College of Cardiology, 69 (11), 1400−1400.
5.1.
2017
Al-Mallah, Mouaz H.; Ahmed, Amjad; Qureshi, Waqas; Elshawi, Radwa; Brawner, Clinton; Blaha, Michael; Ahmed, Haitham; Ehrman, Jonathan; Keteyian, Steven; Sakr, Sherif (2017). USING MACHINE LEARNING TO DEFINE THE ASSOCIATION BETWEEN CARDIORESPIRATORY FITNESS AND ALL-CAUSE MORTALITY: THE FIT (HENRY FORD EXERCISE TESTING) PROJECT. Journal of the American College of Cardiology, 69 (11), 1612−1612.
1.1.
2016
Bajaber, Fuad; Elshawi, Radwa; Batarfi, Omar; Altalhi, Abdulrahman; Barnawi, Ahmed; Sakr, Sherif (2016). Big Data 2.0 Processing Systems: Taxonomy and Open Challenges. Journal of Grid Computing, 14 (3), 379−405.10.1007/s10723-016-9371-1.
1.1.
2016
Batarfi, Omar; Elshawi, Radwa; Fayoumi, Ayman; Barnawi, Ahmed; Sakr, Sherif (2016). A distributed query execution engine of big attributed graphs. SpringerPlus, 5, ARTN 665.10.1186/s40064-016-2251-0.
1.1.
2016
Maamar, Zakaria; Faci, Noura; Sakr, Sherif; Boukhebouze, Mohamed; Barnawi, Ahmed (2016). Network-based social coordination of business processes. Information Systems, 58, 56−74.10.1016/j.is.2016.02.005.
1.1.
2016
Sherif Sakr, Amal Elgammal (2016). Towards a Comprehensive Data Analytics Framework in Smart Healthcare Networks. Big Data Research, 4, 44−58. DOI: 10.1016/j.bdr.2016.05.002.
2.1.
2016
Sherif Sakr, Faisal Moeen Orakzai, Ibrahim Abdelaziz, Zuhair Khayyat (2016). Large-Scale Graph Processing Using Apache Giraph. Springer.
2.1.
2016
Sherif Sakr (2016). Big Data 2.0 Processing Systems: A Survey. Springer.
2.1.
2016
Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh, Ahmed Gater, Seung Hwan Ryu (2016). Process Analytics: Concepts and Techniques for Querying and Analyzing Process Data. Springer.
3.1.
2016
Ahmed Barnawi, Ahmed Awad, Amal Elgammal, Radwa Elshawi, Abduallah Almalaise, Sherif Sakr (2016). An Anti-Pattern-based Runtime Business Process Compliance Monitoring Framework. International Journal of Advanced Computer Science and Applications, 7 (2), 551−572.
3.1.
2016
Fuad Bajaber, Amin Shafaat, Omar Batarfi, Radwa Elshawi, Abdulrahman Altalhi, Ahmed Barnawi, Sherif Sakr (2016). A Cloud-Based Platform for Democratizing and Socializing the Benchmarking Process. International Journal of Advanced Computer Science and Applications, 7 (2), 519−530.
5.1.
2016
Kupsky, Daniel F.; Ahmed, Amjad M.; Sakr, Sherif; Qureshi, Waqas; Brawner, Clinton A.; Blaha, Michael J.; Ehrman, Jonathan K.; Keteyian, Steven J.; Al-Mallah, Mouaz (2016). Cardiorespiratory Fitness and Incident Heart Failure: The FIT (Henry Ford ExercIse Testing) Project. Circulation, 134, 1.
1.1.
2015
Batarfi, Omar; El Shawi, Radwa; Fayoumi, Ayman G.; Nouri, Reza; Beheshti, Seyed-Mehdi-Reza; Barnawi, Ahmed; Sakr, Sherif (2015). Large scale graph processing systems: survey and an experimental evaluation. Cluster Computing, 18 (3), 1189−1213.10.1007/s10586-015-0472-6.
1.1.
2015
Alomari, Ebtesam; Barnawi, Ahmed; Sakr, Sherif (2015). CDPort: A Portability Framework for NoSQL Datastores. Arabian Journal For Science and Engineering, 40 (9), 2531−2553. DOI: 10.1007/s13369-015-1703-0.
1.1.
2015
Zhao, Liang; Sakr, Sherif; Liu, Anna (2015). A Framework for Consumer-Centric SLA Management of Cloud-Hosted Databases. IEEE Transactions on Services Computing, 8 (4), 534−549.10.1109/TSC.2013.5.
1.1.
2015
Barnawi, A.; Awad, A.; Elgammal, A.; El Shawi, R.; Almalaise, A.; Sakr, S.; (2015). Runtime self-monitoring approach of business process compliance in cloud environments. Cluster Computing, 18, 1503−1526.10.1007/s10586-015-0494-0.
1.2.
2015
Zakaria Maamar, Noura Faci, Ejub Kajan, Sherif Sakr, Mohamed Boukhebouze and Ahmed Barnawi (2015). How to Make Business Processes Socialize? Industrial Networks and Intelligent Systems , 2 (5), 1−15.
3.1.
2015
Barnawi, A.; Awad, A.; Elgammal, A.; Elshawi, R.; Almalaise, A.; Sakr, S.; (2015). BP-MaaS: A runtime compliance-monitoring system for business processes. CEUR Workshop Proceedings, 1418. CEUR-WS, 25−29.
3.1.
2015
Awad, A.; Sakr, S.; Elgammal, A.; (2015). Compliance Monitoring as a Service: Requirements, Architecture and Implementation. 2015 International Conference on Cloud Computing, ICCC 2015. ICCC, 1−7.10.1109/CLOUDCOMP.2015.7149636.
3.1.
2015
Awad, A.; Barnawi, A.; Elgammal, A.; Elshawi, R.; Almalaise, A.; Sakr, S.; (2015). Runtime detection of business process compliance violations: An approach based on anti patterns? Proceedings of the ACM Symposium on Applied Computing, 13-17-April-2015. ACM, 1203−1210.10.1145/2695664.2699488.
3.1.
2015
Mohammed Hammoud, Dania Abdrabu, Reza Nouri, Seyed Behteshi, Sherif Sakr (2015). DREAM: Distributed RDF Engine with Adaptive Query Planner and Minimal Communication. Proceedings of the VLDB Endowment, 8 (6), 654−666.10.14778/2735703.2735705.
1.1.
2014
Sakr, Sherif (2014). Cloud-hosted databases: technologies, challenges and opportunities. Cluster Computing, 17 (2), 487−502.10.1007/s10586-013-0290-7.
1.1.
2014
Sakr, Sherif; Elnikety, Sameh; He, Yuxiong (2014). Hybrid query execution engine for large attributed graphs. Information Systems, 41, 45−73.10.1016/j.is.2013.10.007.
2.1.
2014
Sherif Sakr and Mohamed Gaber (2014). Large Scale and Big Data: Processing and Management. CRC Press Taylor Francis Group.
2.1.
2014
Liang Zhao, Sherif Sakr, Anna Liu, Athman Bouguettaya (2014). Cloud Data Management. Springer.
1.1.
2013
Sakr, Sherif; Liu, Anna; Fayoumi, Ayman G. (2013). The Family of MapReduce and Large-Scale Data Processing Systems. ACM Computing Surveys, 46 (1), ARTN 11.10.1145/2522968.2522979.
1.1.
2012
Awad, Ahmed; Sakr, Sherif (2012). On efficient processing of BPMN-Q queries. Computers in Industry, 63 (9), 867−881.10.1016/j.compind.2012.06.002.
1.1.
2012
Sakr, Sherif; Alomari, Mohammad (2012). A decade of database conferences: a look inside the program committees. Scientometrics, 91 (1), 173−184.10.1007/s11192-011-0530-7.
1.1.
2012
Basem Suleiman, Sherif Sakr, Ross Jeffery and Anna Liu (2012). On Understanding the Economics and Elasticity Challenges of Deploying Business Applications on Public Cloud Infrastructure. Journal of Internet Services and Applications, 1.
1.1.
2012
Hooran MahmoudiNasab, Sherif Sakr (2012). AdaptRDF: Adaptive Storage Management for RDF Databases. International Journal of Web Information Systems, 8 (2), 234−250.
2.1.
2012
Sherif Sakr and Eric Pardede (2012). Graph Data Management: Techniques and Applications. IGI Global.
1.1.
2011
Sakr, S.; Warde, E.; Tchernycheva, M.; Rigutti, L.; Isac, N.; Julien, F. H. (2011). Origin of the electrical instabilities in GaN/AlGaN double-barrier structure. Applied Physics Letters, 99 (14), ARTN 142103.10.1063/1.3645011.
1.1.
2011
Sakr, Sherif; Liu, Anna; Batista, Daniel M.; Alomari, Mohammad (2011). A Survey of Large Scale Data Management Approaches in Cloud Environments. IEEE Communications Surveys & Tutorials, 13 (3), 311−336.10.1109/SURV.2011.032211.00087.
1.1.
2011
Sakr, Sherif; Alomari, Mohammad (2011). A decade of database research publications: a look inside. Scientometrics, 88 (2), 521−533.10.1007/s11192-011-0385-y.
1.1.
2011
Pascalau, E.; Awad, A.; Sakr, S.; Weske, M.; (2011). Partial process models to manage business process variants. International Journal of Business Process Integration and Management, 5 (3), 240−256.10.1504/IJBPIM.2011.042528.
1.1.
2010
Sakr, Sherif; Al-Naymat, Ghazi (2010). Efficient Relational Techniques for Processing Graph Queries. Journal of Computer Science and Technology, 25 (6), 1237−1255. DOI: 10.1007/s11390-010-9402-5.
1.1.
2010
Sherif Sakr (2010). Towards a Comprehensive Assessment for Selectivity Estimation Approaches of XML Queries. International Journal of Web Engineering and Technology, 6 (1), 58−82.10.1504/IJWET.2010.034760.
1.1.
2010
Sherif Sakr, Ghazi Al-Naymat. (2010). Graph Indexing and Querying: A Review. International Journal of Web Information Systems, 6 (2), 101−120.10.1108/17440081011053104.
1.1.
2009
Sakr, Sherif (2009). XML compression techniques: A survey and comparison. Journal of Computer and System Sciences, 75 (5), 303−322. DOI: 10.1016/j.jcss.2009.01.004.
1.1.
2009
Sakr, Sherif; Al-Naymat, Ghazi (2009). Relational Processing of RDF Queries: A Survey. Sigmod Record, 38 (4), 23−28.
1.1.
2009
Sakr, Sherif (2009). Cardinality-Aware Purely Relational XQuery Processor. Journal of Database Management, 20 (3), 76−125.
1.1.
2008
Sherif Sakr (2008). Algebra-Based XQuery Cardinality Estimation. International Journal of Web Information Systems, 4 (1), 6−47.
3.1.
2008
Jens Teubner, Torsten Grust, Sebastian Maneth, Sherif Sakr (2008). Dependable Cardinality Forecasts for XQuery. Proceedings of the VLDB Endowment, 1 (1), 463−477.
18.01.2020

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MOBTTMOBTT75Terviklik Suurandmete Analüütika-Teenusena Raamistik01.01.201831.12.2022Ahmed Mahmoud Hany Aly AwadTartu Ülikool, Loodus- ja täppisteaduste valdkond, arvutiteaduse instituut747 404,33 EUR