Simona Doboli

Degrees

PHD, 2001, Univ Cincinnati Cincinnati; MS, 1996, Univ Timisoara; BS, 1995, Univ Timisoara

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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: 

1. A. Doboli, X.Liu, H.Li, S. Doboli: "Modeling Group Creativity as the Evolution of Community-level, Creative Problem Solving". Chapter 10 in P. B. Paulus and B. A. Nijstadand  (Eds), The Oxford Handbook of Group Creativity and Innovation, Oxford University Press, June 2019. 
2. L.E. Coursey, R.T. Gertner, B.C. Williams,  J.B. Kenworthy,  P.B. Paulus, S. Doboli: Linking the Divergent and Convergent Processes of Collaborative Creativity: The Impact of Expertise Levels and Elaboration Processes, Frontiers in Psychology, Vol. 10, April 12, 2019,  https://doi.org/10.3389/fpsyg.2019.00699.
3. 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
4. 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.
5. 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
6. 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. 
7. 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.

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Teaching Interests

Artificial intelligence, information retrieval, text mining, data science, programming, data structures and algorithms, computer architecture.

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Research Interests

Artificial intelligence, text mining, deep learning, creativity, neural cognitive models, and computational neuroscience.

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Recent Courses Taught

Course	Title	Level
CSC 016	(CS) FUNDAMENTALS CMP SCI II	Undergraduate
CSC 143U	SP TPC: INFORMATION RETRIEVAL	Undergraduate
CSC 158	INTRO-ARTFCL INTELL	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 291V	TEXT MINING	Graduate
CSC 300	INDEPENDENT PROJECTS	Graduate
HUHC 021F	ALGORITHMS FOR DATA	Undergraduate