Simona Doboli
Professor of Computer Science
Degrees
PHD, 2001, Univ Cincinnati Cincinnati; MS, 1996, Univ Timisoara; BS, 1995, Univ Timisoara
Bio
Simona Doboli is a Professor of Computer Science at Hofstra University. She received her PhD from University of Cincinnati in 2001. Her research interests are in artificial intelligence, deep learning, neural cognitive modeling, creativity and computational neuroscience. Her recent work includes developing algorithms for automatic assessment of novelty in short text, studying interactions between group and individual level creativity, and developing neural cognitive models for idea generation processes. She has over 50 journal and conference publications. Her research was funded by NSF. She is an Associate Editor for the journal of Cognitive Systems Research since 2014. She was an Associate Editor for the IEEE Transactions on Neural Networks journal between 2005 and 2007. She is the tutorial chair for IJCNN 2019. She has been special session chair for IJCNN 2011 and the workshop chair for IJCNN 2013. She is a member of the program committee of IJCNN. She is currently the director of Computer Engineering program. She was the department chair between 2011 and 2016.
Recent Publications:
- L.E. Coursey, B.C. Williams, J.B. Kenworthy, P.B. Paulus, S. Doboli: Divergent and Convergent Group Creativity in an Asynchronous Online Environment, Journal of Creative Behavior, Published on 12 July 2018 https://doi.org/10.1002/jocb.363
- H. Li, X. Liu, F Jiao, A. Doboli and S. Doboli, InnovA: A Cognitive Architecture for Computational innovation through robust divergence and its application for analog circuit design, IEEE Transactions on CAD of Integrated Circuits and Systems, Vol 37(10), Oct 2018, pp. 1943-1956.
- M. Mei, X. Guo, B.C. Williams, Simona Doboli, J.B. Kenworthy, P.B. Paulus, A.A. Minai: Using semantic clustering and autoencoders for detecting novelty In corpora of short texts. In Proceedings of the International Joint Conference on Neural Networks (IJCNN'2018), 2018: 1-8
- Doboli, A., and Doboli, S.: iflows: A Novel Simulation Model for Predicting the Effectiveness of a Research Community. In Proceedings of the 2014 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, Fl, December 2014.
- Doboli, S., Jacques, M., Minai, A.A., Paulus, P., Korde, R., and Doboli, A.: Modeling the effects of hint timing on the idea generation process. In Proceedings of the International Joint Conference on Neural Networks, Dallas, TX, August 2013.
Teaching Interests
Artificial intelligence, information retrieval, text mining, data science, programming, data structures and algorithms, computer architecture.Research Interests
Artificial intelligence, text mining, deep learning, creativity, neural cognitive models, and computational neuroscience.Recent Courses Taught
| Course | Title | Level |
|---|---|---|
| CSC 015 | (CS) FUNDAMENTALS OF CMP SCI I | Undergraduate |
| CSC 015H | (CS)INTRO PRGRMNG FOR HUMNTIES | Undergraduate |
| CSC 016 | (CS) FUNDAMENTALS CMP SCI II | Undergraduate |
| CSC 143U | SP TPC: INFORMATION RETRIEVAL | Undergraduate |
| CSC 158 | INTRO-ARTFCL INTELL | Undergraduate |
| CSC 193 | DEPT HONORS CANDIDACY: THESIS | Undergraduate |
| CSC 197A | INDEPENDENT SENIOR DESIGN I | Undergraduate |
| CSC 197B | INDEPENDENT SENIOR DESIGN II | Undergraduate |
| CSC 198F | SENIOR SEMINAR | Undergraduate |
| CSC 198S | SENIOR SEMINAR | Undergraduate |
| CSC 199 | CSC & COMPTR ENGG INTRNSHP | Undergraduate |
| CSC 199E | INTRNSHP IN LDRSHP & INNOVATN | Undergraduate |
| CSC 270 | ARTIFICIAL INTELLIGENCE | Graduate |
| CSC 291D | DEEP LEARNING | Graduate |
| CSC 291G | SEMINAR: DATA SCIENCE | Graduate |
| CSC 291V | TEXT MINING | Graduate |
| CSC 300 | INDEPENDENT PROJECTS | Graduate |
| HUHC 021F | ALGORITHMS FOR DATA | Undergraduate |
