University of North Carolina at Charlotte, USA

Professor of Department of Software and information Systems

Director of Complex Systems Institute

Email: mirsad@uncc.edu

Qualifications

2009 MPA (Government), Harvard University, USA

1987 Ph.D. (Computer Science), Southern Methodist University, Dallas, USA

1981 M.S. (Computer Science), University of Banja Luka, USA

1977 B.S. (Computer Science), University of Banja Luka, USA

Publications (Selected)

1. Abdullah, M., Abujaber, D., Al-Qarqaz, A., Abbott, R., Hadzikadic, M. (2023). Combating propaganda texts using transfer learning. Int J Artif Intell ISSN, 2252(8938), 957.
2. Dhou, K., Kosara, R., Hadzikadic, M., Faust, M. (2021). The Influence of Decorations and Word Appearances on the Relative Size Judgment in Viewers of Tag Clouds. In Advances in Parallel Distributed Processing, and Applications: Proceedings from PDPTA'20, CSC'20, MSV'20, and GCC'20 (pp. 1005-1013).
3. Tavakoli, H. M., Xie, T., Shi, J., Hadzikadic, M., Ge, Y. (2020, December). Predicting neural deterioration in patients with alzheimer’s disease using a convolutional neural network. In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 1951-1958). IEEE.
4. Von Briesen, E., Canevello, A., Shaikh, S., Cox, J., Hadžikadić, M. (2020, October). Modeling Genocide: An Agent-Based Model of Bystander Motivations and Societal Restraints. In Conference of the Computational Social Science Society of the Americas (pp. 95-119). Cham: Springer International Publishing.
5. Qiu, R., Hadzikadic, M., Yu, S., Yao, L. (2019). Estimating disease burden using Internet data. Health Informatics Journal, 25(4), 1863-1877.
6. Carmichael, T., Hadžikadić, M. (2019). The fundamentals of complex adaptive systems. In Complex adaptive systems: Views from the physical, natural, and social sciences (pp. 1-16). Cham: Springer International Publishing.
7. Qiu, R., Jia, Y., Wang, F., Divakarmurthy, P., Vinod, S., Sabir, B., Hadzikadic, M. (2019). Predictive modeling of the total joint replacement surgery risk: a deep learning based approach with claims data. AMIA Summits on Translational Science Proceedings, 2019, 562.
8. Carmichael, T., Collins, A. J., Hadžikadić, M. (2019). Complex adaptive systems. Springer International Publishing.
9. Abdullah, M., Hadzikadicy, M., Shaikhz, S. (2018, December). SEDAT: sentiment and emotion detection in Arabic text using CNN-LSTM deep learning. In 2018 17th IEEE international conference on machine learning and applications (ICMLA) (pp. 835-840). IEEE.
10. Tabari, N., Seyeditabari, A., Peddi, T., Hadzikadic, M., Zadrozny, W. (2018, September). A comparison of neural network methods for accurate sentiment analysis of stock market tweets. In Workshop on Mining Data for Financial Applications (pp. 51-65). Cham: Springer International Publishing.
11. Tabari, N., Biswas, P., Praneeth, B., Seyeditabari, A., Hadzikadic, M., Zadrozny, W. (2018, July). Causality analysis of Twitter sentiments and stock market returns. In Proceedings of the first workshop on economics and natural language processing (pp. 11-19).
12. Mouring, M., Dhou, K., Hadzikadic, M. (2018). A Novel Algorithm for Bi-Level Image Coding and Lossless Compression based on Virtual Ant Colonies. In COMPLEXIS (pp. 72-78).
13. Abdullah, M., Hadzikadic, M. (2017, November). Sentiment analysis of twitter data: Emotions revealed regarding Donald Trump during the 2015-16 primary debates. In 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI) (pp. 760-764). IEEE.
14. Abdullah, M., Hadzikadic, M. (2017, May). Sentiment analysis on arabic tweets: Challenges to dissecting the language. In International Conference on Social Computing and Social Media (pp. 191-202). Cham: Springer International Publishing.
15. Hessary, Y. K., Hadzikadic, M. (2017). Role of behavioral heterogeneity in aggregate financial market behavior: An agent-based approach. Procedia Computer Science, 108, 978-987.
16. Hadžikadić, M., Avdaković, S. (Eds.). (2017). Advanced technologies, systems, and applications. Springer International Publishing.
17. Abbott, R., Hadžikadić, M. (2016, May). Complex adaptive systems, systems thinking, and agent-based modeling. In International Symposium on Innovative and Interdisciplinary Applications of Advanced Technologies (pp. 1-8). Cham: Springer International Publishing.
18. Hessary, Y. K., Hadzikadic, M. (2016). An agent-based simulation of stock market to analyze the influence of trader characteristics on financial market phenomena. In J. Phys. Conf. Series (Vol. 1039, No. 1).
19. Maddipatla, R. M., Hadzikadic, M., Misra, D. P., Yao, L. (2015, October). 30 Day hospital readmission analysis. In 2015 IEEE International Conference on Big Data (Big Data) (pp. 2922-2924). IEEE.
20. Carmichael, T., Hadzikadic, M. (2015). Predator-prey dynamics and the red queen hypothesis: putting limits on the evolutionary arms race. Editors Editorial Board, 65.

Profile Details

https://cci.charlotte.edu/directory/mirsad-hadzikadic/

https://scholar.google.com/citations?user=SiFFNkgAAAAJ&hl=en

https://www.researchgate.net/profile/Mirsad-Hadzikadic

WoS Researcher ID: CSF-4398-2022