CV

Research Interests

• Machine Learning

• Explainable Artificial Intelligence (XAI)

• Natural Language Processing

• Data Mining

• Text Mining

Publications

Journal papers

• M. Moradi, M. Samwald, "Explaining Black-box Models for Biomedical Text Classification," IEEE Journal of Biomedical and Health Informatics, In Press, 2021. https://doi.org/10.1109/JBHI.2021.3056748

• M. Moradi, M. Samwald, "Post-hoc explanation of black-box classifiers using confident itemsets," Expert Systems with Applications, vol. 165, p. 113941, 2021. https://doi.org/10.1016/j.eswa.2020.113941

• M. Moradi, M. Dashti, M. Samwald, "Summarization of biomedical articles using domain-specific word embeddings and graph ranking," Journal of Biomedical Informatics, vol. 107, p. 103452, 2020. https://doi.org/10.1016/j.jbi.2020.103452

• M. Moradi, G. Dorffner, M. Samwald, "Deep contextualized embeddings for quantifying the informative content in biomedical text summarization," Computer Methods and Programs in Biomedicine, vol. 184, p. 105117, 2020. https://doi.org/10.1016/j.cmpb.2019.105117

• M. Moradi, "CIBS: A biomedical text summarizer using topic-based sentence clustering," Journal of Biomedical Informatics, vol. 88, p. 53-61, 2018. https://doi.org/10.1016/j.jbi.2018.11.006

• M. Moradi, N. Ghadiri, "Different approaches for identifying important concepts in probabilistic biomedical text summarization," Artificial Intelligence in Medicine, vol. 84, p. 101-116, 2018. https://doi.org/10.1016/j.artmed.2017.11.004

• M. Moradi, N. Ghadiri, "Quantifying the informativeness for biomedical literature summarization: An itemset mining method," Computer methods and Programs in Biomedicine, vol. 146, p. 77-89, 2017. https://doi.org/10.1016/j.cmpb.2017.05.011

Conference papers

• M. Moradi, "Frequent Itemsets as Meaningful Events in Graphs for Summarizing Biomedical Texts," 2018 8th International Conference on Computer and Knowledge Engineering (ICCKE), p. 135-140, 2018. https://doi.org/10.1109/ICCKE.2018.8566651

• M. Moradi, "A centralized reinforcement learning method for multi-agent job scheduling in Grid," 2016 6th International Conference on Computer and Knowledge Engineering (ICCKE), p. 171-176, 2016. https://doi.org/10.1109/ICCKE.2016.7802135

• S. H. Aboutorabi, M. Rezapour, M. Moradi, N. Ghadiri, "Performance evaluation of SQL and MongoDB databases for big e-commerce data," 2015 International Symposium on Computer Science and Software Engineering (CSSE), p. 1-7, 2015. https://doi.org/10.1109/CSICSSE.2015.7369245

Thesis

• M. Moradi, "Concept-based single- and multi-document biomedical text summarization," MSc Thesis, Department of Electrical and Computer Engineering, Isfahan University of Technology, 2017.

Skills

Languages

• Persian (Farsi)-native speaker

• English-professional proficiency

• German-elementary proficiency

Computer Skills

• Programming languages: C, C++, C#, Java, Python, R, MATLAB, Java script, Action script

• Deep learning libraries: Tensorflow, Keras, Pytorch

• Data and text mining: WEKA, GATE, NLTK

• Databases: MS SQL, MS Access, My SQL, MongoDB

• Web languages and technologies: ASP.NET, HTML, XML, XQuery, CSS, familiar with PHP

• Parallel processing programming: MPI, OpenMP

• Graphic and multi-media software: Adobe Photoshop, Adobe Flash

Served as reviewer for

• IEEE Transactions on Neural Networks and Learning Systems

• Journal of Biomedical Informatics

• BMC Bioinformatics

• ACM Transactions on Asian and Low-Resource Language Information Processing

• International Conference on Natural Language Processing (NLP 2020)

Teaching experience

• Instructor, Databases Laboratory Course, Department of Electrical and Computer Engineering, Isfahan University of Technology, Fall 2015, Spring 2016, Fall 2016

• Teaching Assistant, Databases Course, Department of Electrical and Computer Engineering, Isfahan University of Technology, Fall 2015, Spring 2016

• Teaching Assistant, Programming Languages Course, Aghigh Institute of Higher Education, Fall 2013