5109 Sennott Square,
Pittsburgh, PA, 15213
I was born and raised in Damascus, the oldest continuously inhabited city in the world. I joined the computer science department at the University of Pittsburgh in 2006 for MS degree. Later on, I joined the PhD program and graduated in 2012. Currently, I’m a postdoctoral associate working with Dr Milos Hauskrecht on a variety of machine learning projects.
· Data Mining and Machine Learning
o Temporal Pattern Mining
o Subgroup Discovery
o Time Series Classification and Feature Extraction
o Probabilistic Graphical Models
o Multi-label Classification
· Machine Learning for Medical Applications
· Information Retrieval and Text Mining
· Database: Indexing and Querying Spatial, Temporal and XML databases
I. Batal, C. Hong and M. Hauskrecht. An Efficient Probabilistic Framework for Multi-Dimensional Classification. ACM Conference on Information and Knowledge Management (CIKM). San Fransisco, CA, 2013.
I. Batal, H. Valizadegan, G. Cooper and M. Hauskrecht. A Temporal Pattern Mining Approach for Classifying Electronic Health Record Data. ACM Transaction on Intelligent Systems and Technology (ACM TIST), Special Issue on Health Informatics, 2013.
M. Hauskrecht, I. Batal, M. Valko, S. Visweswaran, G. Cooper and G. Clermont. Outlier-detection for Patient Monitoring and Alerting. Journal of Biomedical Informatics, 2013.
I. Batal, H. Valizadegan, G. Cooper and M. Hauskrecht. A Pattern Mining Approach for Classifying Multivariate Temporal Data. IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (acceptance rate 20%). Atlanta, GA, 2011. [NSF travel award]
I. Batal and M. Hauskrecht. A Supervised Time Series Feature Extraction Technique using DCT and DWT. International Conference on Machine Learning and Applications (ICMLA), 2009.
I. Batal, L. Sacchi, R. Bellazzi and M. Hauskrecht. A Temporal Abstraction Framework for Classifying Clinical Temporal Data. Annual American Medical Informatics Association (AMIA), 2009.
I. Batal and M. Hauskrecht. Boosting KNN Text Classification Accuracy by using Supervised Term Weighting Schemes. ACM Conference on Information and Knowledge Management (CIKM), 2009.
I. Batal, L. Sacchi, R. Bellazzi, and M. Hauskrecht. Multivariate Time Series Classification with Temporal Abstractions. International Florida AI Research Society Conference (FLAIRS), 2009.
I. Batal and A. Labrinidis. QuickStack: A Fast Algorithm for XML Query Matching, Technical Report TR-08-155, 2008.
[CS131] SOFTWARE FOR PERSONAL COMPUTING (Fall 2008).
ACM SIGKDD home page (data mining tools, datasets and other resources)
My graduation from Damascus University