• Arafat, N. A., Mobaraki, E. B., Khan, A., Velaj, Y., & Bonchi, F. (October 2024). Estimate and Reduce Uncertainty in Uncertain Graphs. Proceedings of the IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2024, San Diego, CA, USA.

• Mobaraki, E. B., & Khan, A. (April 2023). Interpretability Methods for Graph Neural Networks (Demonstration). In 6th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA): Co-located with SIGMOD 2023 (18 June 2023, Seattle, WA, USA).

• Khan, A., & Mobaraki, E. B. (May 2023). Interpretability Methods for Graph Neural Networks (Tutorial). In 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 9 October 2023, Thessaloniki, Greece [Presentation].

• Mobaraki, E. (2017). A Model for Improving the Business Intelligence of the Companies Envisaging Knowledge Management Approach: A Case Study of the Knowledge-Based Organizations of East Azarbaijan Science and Technology Park. Journal of Engineering and Applied Sciences, 12(19), 5024-5034.  

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• Ehsan Mobaraki, (2017) An Elaboration on the Status of E-commerce in Iran Considering Its Growth and ChallengesInternational Journal of Applied Business and Economic Research, Volume: No.15 (2017), Issue No.: 5 (2017), Pages: 433-442.