Samir E. AbdelRahman, MSc, PhD

Research Interests

  • Data Mining in Biomedical Informatics
  • Big Data Analytics
  • Visual Analytics
  • Predictive Analytics
  • Machine Learning
  • Information Retrieval
  • Information Extraction
  • Artificial Intelligence

Languages

  • English

Academic Information

  • Departments: Biomedical Informatics - Assistant Professor

Academic Office Information

  • 801-587-5237
  • Biomedical Informatics
    421 Wakara Way, Room: 2034; Suite: 140
    Salt Lake City, UT 84108

Research Statement

Dr. Abdelrahman main research interests are data mining, visual analytics, multi-agent, information retrieval, and information extraction using natural language processing and ontologies. His current research is directed to conduct advanced big data analytics and modeling to devise computational algorithms and frameworks for biomedical computing. These solutions primarily tackle clinical data analytics problems such as temporal behaviors, data heterogeneity (structured and free-text), missing data, imbalance, and sparseness. His research lab conducts intelligent computing projects of (1) data analytics for biomedical computing, and (2) computational algorithms for real-life applications.

Academic Bio

Dr. Abdelrahman earned B.Sc. in Operations Research, and M.Sc, Ph.D. in computer science (artificial intelligence domain). He has trained as a research scholar in highly prestigious universities; namely the University of Minnesota at Twin Cities, Vanderbilt University, the University of Illinois at Urbana–Champaign, and the University of Utah. Since 2010, he has been a research scholar in biomedical informatics domain. He has conducted several predictive analytics projects at University of Utah Health Care to predict patient risk factors and outcomes in the areas of congestive heart failure readmissions, clinic appointment no-shows/last-minute cancellations, bleeding or readmission events following left ventricular assist device implantation, pneumonia mortality, and sepsis. Currently, Dr. Abdelrahman is a faculty at Cairo University (Egypt) and the University of Utah in computer science and biomedical informatics domains respectively.

Through his academic career, Dr. Abdelrahman taught several computer science courses such as artificial intelligence, machine learning, data mining, concepts of programming languages, programming in [C#, Java, Python, and declarative languages], data structures, algorithms, compilers, databases, and operating systems. He also mentored around 20 Ph.D./M.Sc. students and supervised over 15 undergraduate projects.

"Innovative computational solutions are acquired through successful collaborations among seniors, juniors, and scholars. My research analytics, programming skills, and industrial experience enable me to be hands-on with my students".

Education History

Type School Degree
Research Fellow University of Utah
Biomedical Informatics
Postdoctoral Research Fellow
Research Fellow University of Illinois at Urbana-Champaign
Informatics
Postdoctoral Research Fellow
Research Fellow Vanderbilt University
Biomedical Informatics
Postdoctoral Research Fellow
Doctoral Training Cairo University, Faculty of Computers and Information
Artificial Intelligence with parsing
Ph.D.
Graduate Training Cairo University, Computer Science Department, Institute of Statistical and Science Research
Artificial Intelligence
M.Sc.
Diploma Cairo University, Computer Science Department, Institute of Statistical and Science Research
Computer Science
Diploma
Undergraduate King Saud University
Operations Research
B.Sc.

Global Impact

Education History

Type School Degree Country
Doctoral Training Cairo University, Faculty of Computers and Information
Artificial Intelligence with parsing
Ph.D. Egypt
Graduate Training Cairo University, Computer Science Department, Institute of Statistical and Science Research
Artificial Intelligence
M.Sc. Egypt
Diploma Cairo University, Computer Science Department, Institute of Statistical and Science Research
Computer Science
Diploma Egypt
Undergraduate King Saud University
Operations Research
B.Sc. Saudi Arabia

Awards & Honors

Description Country
Second Honor Class, King Saud University, Riyadh, Saudi Arabia Saudi Arabia
One of the best professors, Faculty of Computers and Information, Cairo University, Cairo, Egypt Egypt
Best University Graduate Project, Egyptian Computer Society. Project Title: The Collaborative Network Administrator Services Egypt
Best Graduate Project, Information Technology Academia Collaboration. Project Title: Mobile Hiding Information Services Egypt
Best Graduate Project, Communication Ministry Best Faculty Graduate Project. Project Title: Mobile Web Services Next Generation Egypt

Career

Institution Description Country
Crystals Software Company Developer, Designer, Analyst Egypt
Misr University for Science and Technology Teacher Assistant, College of Engineering Egypt
Consultant Group Software Company Developer, Designer, Analyst Egypt
4S Software Company Developer, Designer Egypt
Arabic Computer Systems Software Company Developer Saudi Arabia
European Commission and Cairo University Researcher Assistant Egypt
Cairo University Associate Professor (permanent, unpaid leave of absence), Faculty of Computers and Information Egypt
Cairo University Assistant Professor, Faculty of Computers and Information Egypt

Selected Publications

Journal Article

  1. Amr M Sayed, AbdelRahman SE, Reem Bahgat, Aly Fahmy (2016). Time Emotional Analysis of Arabic Tweets at Multiple Levels. International Journal of Advanced Computer Science and Applications, 7(10), 336-324.
  2. Eman Negm, AbdelRahman SE, Reem Bahgat (2017). PREFCA: A portal retrieval engine based on formal concept analysis. Information Processing & Management, 53(1), 203-222.
  3. AbdelRahman SE, Mobarz H, Rashown M, Farag I (2014). Arabic Phrase Level Contextual Polarity Recognition to Enhance Sentiment Arabic Lexical Semantic Database Generation. International Journal of Computer Science Issues, 5(10).
  4. AbdelRahman SE, Zhang M, Bray BE, Kawamoto K (2014). A three-step approach for the derivation and validation of high-performing predictive models using an operational dataset: congestive heart failure readmission case study. BMC Med Informat Decis Making, 14, 41.
  5. Elarnaoty M, AbdelRahman SE, Fahmy A (2012). A Machine Learning Approach For Opinion Holder Extraction. International Journal of Artificial Intelligence and Applications.
  6. Sayed S, AbdelRahman SE, Farag I (2012). Three-Phase Tournament-Based Method For Better Email Classification. International Journal of Artificial Intelligence and Applications, 3(6), 49-56.
  7. AbdelRahman SE, Bahgat R, Farag GM (2011). Order Statistics Bayesian-Mining Agent Modeling for Automated Negotiation. Informatica, 35, 123-37.
  8. Xu H, AbdelRahman S, Lu Y, Denny JC, Doan S (2011). Applying semantic-based probabilistic context-free grammar to medical language processing--a preliminary study on parsing medication sentences. J Biomed Inform, 44(6), 1068-75.
  9. Radwan A, AbdelRahman SE, Bahgat R (2010). An Ontology based Middleware Services. Journal of Al-Azhar University Engineering Sector.
  10. AbdelRahman SE, AbdelLatif AM (2010). DisBlue+: A Distributed Annotationbased C# Compiler. Informatics.
  11. Hossny E, AbdelRahman SE, Badr A (2010). An Intelligent Web Service Workow: A Petri Net Based Approach. The Open Information Systems Journal, 3, 146-56.
  12. Schuler W, AbdelRahman SE, Miller T, Schwartz L (2010). Broad-Coverage Parsing using Human-Like Memory Constraints. Computational Linguistics (Association for Computational Linguistics), 36(1).
  13. AbdelRahman SE, Hassan B, Bahgat R (2010). A New Email Retrieval Ranking Approach. International Journal of Computer Science and Information Technologies, 2(5).
  14. AbdelRahman SE, Arnaoety M, Magdy M, Fahmy A (2010). An Integration between Machine Learning Techniques for Arabic Named Entity Recognition. International Journal of Computer Science Issues, 7(4), 3.
  15. AbdelRahman SE (2008). Multifold Server-Desktop Search Utilities for Better Lucene-oriented Information Retrieval. Egyptian Informatics Journal, 9.
  16. AbdelRahman SE, Makady S (2005). A New Tool for Modeling UML constraints. Egyptian Informatics Journal, 6(1).
  17. AbdelRahman SE, Bahgat R, Fahmi A, El-Gamal S (2003). New Middleware Model for Programming Classes Relationships. Egyptian Informatics Journal.
  18. AbdelRahman SE, Bahgat R, Fahmi A, El-Gamal S (2003). UML+: A Multi-Paradigm Software Engineering Environment. Journal of Al-Azhar University Engineering Sector.

Book Chapter

  1. Bahgat R, AbdelRahman SE (2000). Combining Constraint Logic Programming Techniques for Solving Linear Problems. In Apt KR, Monfroy E, Kakas AC, Rossi F (Eds.), Lecture Notes in Computer Science: New Trends in Constraints (1865, pp. 188-211). Springer Berlin Heidelberg.

Conference Proceedings

  1. Sumithra Velupillai, Danielle L Mowery, AbdelRahman SE, Lee Christensen, Wendy Chapman (2015). Towards a Generalizable Time Expression Model for Temporal Reasoning in Clinical Notes. AMIA Conference.
  2. AbdelRahman SE, Bray B (2016). Frequency Tree Clustering for ICU Mortality Analytics using Graph Database: Circulatory System Diseases Case Study. The IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2016, College of Computing & Informatics.
  3. AbdelRahman SE, Sayed E, Bahgat R (2014). The Integration among Disambiguation Lexical Resources for more Effective Phrase-Level Contextual Polarity Recognition. 2014 The 9th International Conference on Computer Engineering & Systems (ICCES), IEEE, 86-81.
  4. Mobarz H, Rashown M, AbdelRahman SE (2011). An Automatic lexical resource Generation for Opinion Mining in Arabic language. 11th Conference on Language Engineering, Faculty of Engineering, AinShams University, Cairo, Egypt.
  5. Farag GM, AbdelRahman SE, Bahgat R, A-Moneim AM (2010). Towards KDE Mining Approach for Multi-Agent Negotiation. 2010 The 7th International Conference on Informatics and Systems (INFOS), IEEE, 1-7.
  6. Mahdi M, AbdelRahman SE, Bahgat R, Ismail I (2010). F-Tree: an algorithm for Clustering Transactional Data Using Frequency Tree. El-Azhar College of Engineering Conference.
  7. AbdelRahman SE, Salim S (2010). A Multiple-Domain Ontology Builder. Proceedings of the 23rd International Conference on Computational Linguistics, Association for Computational Linguistics, 967-75.
  8. Ibrahim M, AbdelRahman SE, Farag I (2008). IWSMD: An Intelligent Web Service based Medical Diagnosis System. 2008 6th International Conference on Informatics and Systems (INFOS 2008).
  9. Schuler W, AbdelRahman SE, Miller T, Schwartz L (2008). Toward a Psycholinguistically-Motivated Model of Language Processing. Proceedings of the 22nd International Conference on Computational Linguistics, Association for Computational Linguistics.

Abstract

  1. Soowhan Lah, AbdelRahman SE, Kensaku Kawamoto (2015). Predicting Costs In Pneumonia: A Bayesian Network Analysis [Abstract]. A47 CLINICAL ASPECTS AND DIAGNOSIS OF RESPIRATORY TRACT INFECTIONS.
  2. EM Gilbert J Nativi-Nicolau, A Healy, AbdelRahman SE, J Jaramillo, A Elmer, S Tagge, S McKellar, J Stehlik, S Drakos, J Fang (2016). Readmission Rates in Patients with Left Ventricular Assist Devices [Abstract]. The Journal of Heart and Lung Transplantation.

Other

  1. Morid, MA, Sheng, ORL, AbdelRahman SE (2016). Leveraging Patient Similarity and Time Series Data in Healthcare Predictive Models. In Proc. of 7th Annual Workshop on Health IT and Economics (WHITE) (Eds.). Washington, DC.
  2. Morid, MA, Sheng, ORL, AbdelRahman SE (2016). PPMF: A Patient-based Predictive Modeling Framework for Early ICU Mortality Prediction. Healthcare Analytics and Medical Decision Making, INFORMS Workshop. Nashville, Tennessee.
  3. Morid, MA, Sheng, ORL, AbdelRahman SE (2016). Healthcare Predictive Analytics for Patient Time Series with Non-ignorable Missingness: The Case of Early ICU Mortality Prediction (Best Paper Award). In Proc. of 11th Data Mining & Decision Analytics (DMDA), INFORMS Workshop. Nashville, Tennessee.
  4. Sumithra Velupillai, Danielle L Mowery, AbdelRahman SE, Lee Christensen, Wendy W Chapman (2015). BluLab: Temporal Information Extraction for the 2015 Clinical TempEval Challenge (1st Rank). the 2015 Clinical TempEval Challenge.
  5. AbdelRahman SE, Blake C (2012). A Rule-based Human Interpretation System for Semantic Textual Similarity Task. Proceedings of the First Joint Conference on Lexical and Computational Semantics (1, pp. 536-42). Association for Computational Linguistics.
  6. Xu H, AbdelRahman SE, Jiang M, Fan JW, Huang Y (2011). An Initial Study of Full Parsing of Clinical Text using the Stanford Parser. International Workshop on Biomedical and Health Informatics, IEEE Conference of Bioinformatics and Biomedicine.

Poster

  1. AbdelRahman SE, Kensaku Kawamoto (2015). Design, Development, and Initial Application of a Systematic, Semi-Automated Predictive Analytics Framework. Poster session presented at AMIA 2015, Washington DC.