Name: Noha A. Yousri

Occupation: Professor, Computer & Systems Engineering Dept., Faculty of Engineering, Alexandria University, Egypt

Email: noha.yousri@alexu.edu.eg

Research Interests: Pattern Recognition, Data Mining, Bioinformatics

• Research Interests:
• Pattern Recognition (Clustering, Classification, Outlier analysis, Validity, Feature Selection, and others).
• Bioinformatics: Gene expression analysis, Biological Text Mining.
• Text Mining: Document analysis, Information Retrieval, and Social Networks.
• Ongoing research:
• Current research in Pattern Recognition focuses on enhancing exploratory tools for discovering clusters of arbitrary shapes and densities, to find the natural clusters in high dimensional data. This includes fuzzy exploration techniques, validity measures, outlier analysis, and core pattern analysis. These tools can be used in a number of real applications as medical data, text and document analysis, character recognition, face detection, etc.
• Current research in Bioinformatics focuses on analyzing public and local gene expression sets, to derive interactions between genes and biological entities relevant to a particular cancer. Gene expression is analyzed using cluster analysis, over-expression and pattern core filtering, along with gene functional annotation and pathway analysis.
• Current research in Text Mining includes text and document analysis/Mining using unsupervised learning, for web documents, recommender systems and social network analysis.
• Education:
• Doctor of Philosophy degree from Computer and System Engineering Dept., Faculty of Engineering, University of Alexandria with co-supervision by Dr. Mohamed Kamel under a visiting scholar program at the University of Waterloo, Canada. Thesis title: “Novel Methodologies for Discovering Clusters of Arbitrary Shapes and Densities in High Dimensional Data with Applications”.
• Master of Science degree from Computer and System Engineering Dept.1, Faculty of Engineering, Alexandria University, January, 2003. Thesis title: “New Algorithms for Materialized View Selection in a Data warehouse”.
• Bachelor degree from Computer & System Engineering Dept.1, Faculty of Engineering, Alexandria university, August, 1999. Graduation project field: Implementing a data warehouse system.
• Courses:

o Pattern Recognition Course [PDF]

o Operating System Course [PDF]

o Bioinformatics Course [PDF]

o Advanced Bioinformatics Course [PDF]

• Teaching:

Involved in teaching/have the ability to teach:

• Pattern Recognition. Introduced and taught an undergraduate course: Pattern Recognition at the affiliated department of Computer and System Engineering.
• Bioinformatics. Introduced and taught two graduate courses: Bioinformatics and Advanced Bioinformatics at the affiliated department of Computer and System Engineering.
• Operating Systems (undergraduate course)
• Machine Learning.
• Research Grants:
• Breast Cancer bioinformatics research project (Co-PI), funded by Alexandria University and Alexandria’s Regional Center for Woman’s Health and Development, April 2011. Collaborators: Faculty of Medicine, Alexandria's Regional Center for Woman’s Health and Development, and American University in Cairo (AUC).
• “Auto-Scoring System of Arabic translation”, (Co-PI) funded by CMIC (Microsoft Innovation Laboratory in Cairo), July 2011.
• Text mining research project funded by CMIC (Microsoft Innovation Laboratory in Cairo) between November 2008 and July 2009. (PI: Mohamed Kamel (University of Waterloo)).
• Publications:

2013

1. Noha. A. Yousri, KORA Cohort, Karsten Suhre, “Identifying Stable and Unstable Metabolites over Long Terms for a given Subjects’ Cohort”, Poster Presentation, EMBO Practical Course on Metabolomics Bioinformatics for Life Scientists, EMBL-EBI, Hinxton, UK, February 2013.

2. Noha. A. Yousri, KORA Cohort, Karsten Suhre, “Long Term Stability of Metabolites in Longitudinal German Population Study”, Poster Presentation, Weill Cornell Medical College- Qatar’s Research Retreat, Doha, Qatar, January 2013.

2012

3. Noha A. Yousri, Dalal M. Elkaffash: Associating functional groups to multiple clinical types using combined t-test scores and contingency-based measures: a study on breast cancer genes. International Journal of Computational Biology and Drug Design 5(3/4): 261-283 (2012).

4. Mohammed A. Gaafar, Noha A. Yousri, Mohamed A. Ismail: A novel ensemble selection method for cancer diagnosis using microarray datasets. IEEE 12^th International conference on BioInformatics and BioEngineering, BIBE 2012: 368-373.(acceptance rates in previous years range from 12% to 40%)

5. Rania Ibrahim, Naglaa Ahmed, Noha A. Yousri, Mohamed A. Ismail: Incremental Mitosis: Discovering Clusters of Arbitrary Shapes and Densities in Dynamic Data. ICMLA (1) 2012: 102-107. (Acceptance rate according to 2010 is 44%)

6. Noha A. Yousri, Mohamed S. Kamel, Mohamed A. Ismail: A Possibilistic Density Based Clustering for Discovering Clusters of Arbitrary Shapes and Densities in High Dimensional Data. ICONIP (3) 2012: 577-584

7. Ahmad M. Bakr, Noha A. Yousri, Mohamed A. Ismail: Efficient incremental phrase-based document clustering. International Conference of Pattern Recognition, ICPR 2012: 517-520 (Accepted for oral presentation :Oral presentation acceptance Rate : 15%, paper acceptance rate : 44.5% )

2011

8. Amr Magdy, Noha A. Yousri, Nagwa M. El-Makky: Discovering Clusters with Arbitrary Shapes and Densities in Data Streams. ICMLA (1) 2011: 279-282

9. Noha A. Yousri, Dalal M. Elkaffash: Associating gene functional groups with multiple clinical conditions using Jaccard similarity.IEEE BIBM Workshops 2011: 241-246.

2010

10. Noha A. Yousri: On the validation of gene expression clusters. IEEE 5th Cairo International Biomedical Engineering Conference (CIBEC), Cairo, Egypt,2010.

11. Noha A. Yousri: Cluster-based characterization of gene over-expression in cancer sets. ISDA 2010: 74-79.

12. Noha A. Yousri: A validity index for outlier detection. ISDA 2010: 325-329.

13. Noha A. Yousri: A Multi-objective Sequential Ensemble for Cluster Structure Analysis and Visualization and Application to Gene Expression. MCS 2010: 274-283.

14. Kareem Darwish, Ahmed El-Deeb, Noha A. Yousri, Mohamed S. Kamel: Improved relevance feedback using density-based clustering. ISDA 2010: 580-585

15. Nesreen Mahmoud, Hend El-Eraky, Noha A. Yousri, Sara Magdy, Omneya Khaled, Mai Ahmed, Shaimaa Abdel-Moety: A novel interactive visualization framework for gene expression analysis. ISDA 2010: 1247-1252

16. Ahmed Elgohary, Hussein Nomir, Ibrahim Sabek, Mohamed Samir, Moustafa Badawy, Noha A. Yousri: Wiki-rec: A semantic-based recommendation system using Wikipedia as an ontology. ISDA 2010: 1465-1470

2009

17. Noha A. Yousri, Mohamed S. Kamel, Mohamed A. Ismail: A distance-relatedness dynamic model for clustering high dimensional data of arbitrary shapes and densities. Pattern Recognition 42(7): 1193-1209 (2009)

2008

18. Noha A. Yousri, Mohamed S. Kamel, Mohamed A. Ismail: A Fuzzy Approach for Analyzing Outliers in Gene Expression Data. BMEI (1) 2008: 207-213

19. Noha A. Yousri, Mohamed S. Kamel, Mohamed A. Ismail: Finding Arbitrary Shaped Clusters for Character Recognition. ICIAR 2008: 597-608

20. Noha A. Yousri, Mohamed S. Kamel, Mohamed A. Ismail: A novel validity measure for clusters of arbitrary shapes and densities. ICPR 2008: 1-4

2007

21. Noha A. Yousri, Mohamed S. Kamel, Mohamed A. Ismail: Pattern Cores And Connectedness in Cancer Gene Expression. BIBE 2007: 100-107

22. Noha A. Yousri, Mohamed A. Ismail, Mohamed S. Kamel: Discovering Connected Patterns in Gene Expression Arrays. CIBCB 2007: 113-120

23. Noha A. Yousri, Mohamed A. Ismail, Mohamed S. Kamel: Fuzzy outlier analysis a combined clustering - outlier detection approach. SMC 2007: 412-418

24. Noha A. Yousri, Mohamed A. Ismail, Mohamed S. Kamel: Adaptive similarity search in metric trees. SMC 2007: 419-424

2005

25. N. A. R. Yousri, Khalil M. Ahmed, Nagwa M. El-Makky: Algorithms for selecting materialized views in a data warehouse. AICCSA 2005: 27

• Presentations:
• “Unsupervised Data Exploration Challenges and Application to Bioinformatics”, Carnegie Mellon University Qatar, October 2011.
• “On the validation of gene expression clusters”, in IEEE 5th Cairo Biomedical Engineering Conference (CIBEC), 2010.
• “Cluster-based Characterization of Gene Over-expression in Cancer sets”, ISDA 2010.
• “A Validity Index for Outlier Detection”, ISDA 2010.
• “A Multi-Objective Sequential Ensemble for Cluster Structure Analysis and Visualization & Application to Gene Expression”, Poster Presentation, In International Workshop on Multiple Classifier Systems, MCS 2010.
• “Gene Expression Clustering and Pattern Analysis”, Nile University, November 2009.
• “Fuzzy Outlier Analysis” in IEEE SMC (Systems Man & Cybernetics), Montreal Canada, October, 2007.
• “Adaptive Similarity Search” in IEEE SMC (Systems Man & Cybernetics), Montreal, Canada, October, 2007.
• “Pattern Cores and Connectedness in cancer Gene Expression” in IEEE BIBE (International Conference on BioInformatics and BioEngineering), Boston, USA, November 2007.
• “Discovering Connected Patterns in Gene Expression Arrays”, poster in IEEE CIBCB (Symposium on Computational Intelligence in Bioinformatics and Computational Biology), Hawaii, USA, April, 2007.
• Reviewing:
• Pattern Recognition Journal
• Pattern Recognition Letters Journal
• Algorithmic Operations Research Journal
• ICPR 2008, 2010 (International Conference on Pattern Recognition)
• ICONIP 2009,2010 (International Conference on Neural Information Processing)
• CIBEC 2010 (Cairo International Biomedical Engineering Conference)
• IEEE AICSSA 2008 (ACS/IEEE on Computer Systems And Applications)