Shahram Rahimi

Shahram Rahimi

Department Head and Professor

Research and Fields of Interest:

  • Computational Intelligence
  • Machine Learning and Soft Computing
  • Artificial Intelligence
  • Multi-Agent Systems

Recent Publications

Journal Papers

  • J4. N. Marhamati, E. Khorasani, S. Rahimi,” Integration of Z-numbers and Bayesian decision theory: A hybrid approach to decision making under uncertainty and imprecision,” Applied Soft Computing, Elsevier, Vol. 72, pp. 273-290, 2018. Doi: https://doi.org/10.1016/j.asoc.2018.07.053 [PDF]
  • J3. E.S. Khorasani, S. Rahimi, “Constraint Propagation Tree for the Realization of a Computing with Word Based Question Answering System”, International Journal of Computational Intelligence: Theory and Practice, Vol. 6, No.2, pp. 75-87, 2018. [PDF]
  • J2. S. Rahimi, and M. Zargham. “Quantitative Evaluation of Virtual Private Networks and its Implications for Communication Security in Industrial Protocols”, Journal of Advance Computational Research, Vol. 3, No.1, 2018. [PDF]
  • J1. M. R. Khoie, T. S. Tabrizi, E. Sahebkar, S. Rahimi, N. Marhamati, “A Hospital Recommendation System based on Patient Satisfaction Survey,” Smart Healthcare Special Issue, Applied Sci., Vol. 7, Issue 10, pp. 966-990, 2017. [PDF]

Proceedings of International Conferences and Workshops

  • I12. K. T. Baghaei and S. Rahimi, "Sepsis Prediction: An Attention-Based Interpretable Approach," 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), New Orleans, LA, USA, 2019, pp. 1-6. Doi: https://doi.org/10.1109/FUZZ-IEEE.2019.8858808 [PDF]
  • I11. Pourkia J., Rahimi S., Baghaei K.T. (2019) Hospital Data Interpretation: A Self-Organizing Map Approach. In: Kearfott R., Batyrshin I., Reformat M., Ceberio M., Kreinovich V. (eds) Fuzzy Techniques: Theory and Applications. IFSA/NAFIPS 2019 2019. Advances in Intelligent Systems and Computing, vol 1000. Springer, Cham. Doi: https://doi.org/10.1007/978-3-030-21920-8_44 [PDF]
  • I10. H. Kumar, S. Rahimi, A. Sommers, S. Bozorgzad, and A. Stephens, Predictive, “Analytics for Left Without Treatment in the Emergency,” proceedings of The 5th Int'l Conf on Health Informatics and Medical Systems (HIMS'19), pp. 97-101, 2019. [PDF]
  • I9. M. McCoy, S. Rahimi, “Towards a Twitter-Based Prediction Tool for Digital Currency,” proceedings of 21st International Conference in Artificial Intelligence (ICAI’19), Las Vegas, pp. 305-311, 2019, pp. 305-311. [PDF]
  • I8. M. K. Kopuru, S. Rahimi, K. T. Baghaei, “Recent Approaches in Prognostics: State of the Art,” proceedings of 21st International Conference in Artificial Intelligence (ICAI’19), Las Vegas, pp. 358-365, 2019. [PDF]
  • I7. B. Gupta, N. Rahimi, H. Hexmoor, S. Rahimi, K. Maddali and G. Hu, "Design of Very Efficient Lookup Algorithms for a Low Diameter Hierarchical Structured Peer-to-Peer Network," 2018 IEEE 16th International Conference on Industrial Informatics (INDIN), Porto, 2018, pp. 861-868. Doi: https://doi.org/10.1109/INDIN.2018.8471936 [PDF]
  • I6. S. Rahimi, N. Rahimi and B. Gupta, “Secured Data Lookup in LDE Based Low Diameter Structured P2P Network,” 2018 ISCA 33rd International Coonference on Computers and Their Applications (CATA-2018), Las Vegas, pp. 56-61, 2018. [PDF]
  • I5. S. Rahimi, D. Che and E. Fathi, “Predicting Social Network Check-in Locations: Noise Impact Reduction for Classification,” 2018 ISCA 33rd International Coonference on Computers and Their Applications (CATA-2018), Las Vegas, pp. 62-68, 2018. [PDF]
  • I4. L. Asadzadeh and S. Rahimi, "Analyzing Facebook Activities for Personality Recognition," 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), Cancun, 2017, pp. 960-964. Doi: https://doi.org/10.1109/ICMLA.2017.00-29 [PDF]
  • I3. T. Ahmed, A. Bosu, A. Iqbal and S. Rahimi, "SentiCR: A customized sentiment analysis tool for code review interactions," 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), Urbana, IL, 2017, pp. 106-111. Doi: https://doi.org/10.1109/ASE.2017.8115623 [PDF]
  • I2. B. Gupta, N. Rahimi, S. Rahimi and A. Alyanbaawi, "Efficient data lookup in non-DHT based low diameter structured P2P network," 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), Emden, 2017, pp. 944-950. Doi: https://doi.org/10.1109/INDIN.2017.8104899 [PDF]
  • I1. A. Alyanbaawi, B. Gupta, S. Rahimi, N. Rahimi and K. Sinha, "An efficient approach for load-shared and fault-tolerant multicore shared tree multicasting," 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), Emden, 2017, pp. 937-943. Doi: https://doi.org/10.1109/INDIN.2017.8104898 [PDF]