Simona Doboli

ORCID: 0000-0003-0158-4725
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About
Contact & Profiles
Research Areas
  • Neural dynamics and brain function
  • Memory and Neural Mechanisms
  • Creativity in Education and Neuroscience
  • Neural Networks and Applications
  • Advanced Text Analysis Techniques
  • Team Dynamics and Performance
  • Cognitive Science and Mapping
  • VLSI and FPGA Design Techniques
  • Neuroscience and Neuropharmacology Research
  • Design Education and Practice
  • Topic Modeling
  • Cognitive Science and Education Research
  • Entrepreneurship Studies and Influences
  • Embedded Systems Design Techniques
  • VLSI and Analog Circuit Testing
  • Evolutionary Algorithms and Applications
  • Complex Network Analysis Techniques
  • Low-power high-performance VLSI design
  • Knowledge Management and Sharing
  • Interconnection Networks and Systems
  • Software Engineering Research
  • Open Source Software Innovations
  • Experimental Learning in Engineering
  • Fuzzy Logic and Control Systems
  • Biomedical and Engineering Education

Hofstra University
2014-2024

Polytechnic University of Timişoara
1997-2024

Stony Brook University
2008

University of Cincinnati
1999-2003

Laboratoire d'Informatique de Paris-Nord
2002

Abstract This study examined the influence of various group diversity dimensions on collaborative creativity related to healthcare system. Research findings association between and brainstorming performance has been mixed. Diversity that increases cognitive stimulation or promotes elaboration shown increase performance. Participants exchanged ideas, replied, elaborated using an electronic discussion board in asynchronous fashion groups five over a period 4 weeks. The varied ethnicity,...

10.1002/jocb.363 article EN The Journal of Creative Behavior 2018-07-12

10.1016/s0952-1976(00)00002-6 article EN Engineering Applications of Artificial Intelligence 2000-06-01

Many creative activities take place in a group context, whether short-term meetings, work teams, or by means of electronic interaction. The process necessarily involves the exchange ideas information. Recent models creativity have focused on cognitive underpinnings this type process, primarily based brainstorming literature. authors describe an elaborated computational version their model and related models, highlight some plausible neural bases for various involved processes. major findings...

10.1177/1046496410369561 article EN Small Group Research 2010-08-18

Mining engineering metaknowledge from electronic documents is important in devising new design solutions for emerging applications as well identifying business opportunities. Continuously and comprehensively reviewing assessing the entire technical literature to find most relevant ideas cumbersome innovations are constantly being proposed. In particular, high performance analog circuit has been at forefront of technological given their importance applications, like telecommunications, mobile...

10.1109/tcad.2015.2418287 article EN IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2015-04-01

We examined the impact of task-relevant expertise level in groups on idea sharing and elaboration process development. Participants were assigned to low, heterogeneous, high asked generate ideas for development a new sport. Following two asynchronous divergent ideation phases using an electronic discussion board ideational exchanges, completed synchronous convergent phase which they selected refined their The number novelty during did not influence outcome phase. However, consistent with our...

10.3389/fpsyg.2019.00699 article EN cc-by Frontiers in Psychology 2019-04-12

Cells throughout the rodent hippocampal system show place-specific patterns of firing called place fields, creating a coarse-coded representation location. The dependencies this code—or cognitive map—on sensory cues have been investigated extensively, and several computational models developed to explain them. However, representations also exhibit strong dependence on spatial behavioral context, identical environments can produce very different codes in situations. Several recent studies...

10.1162/089976600300015484 article EN Neural Computation 2000-05-01

The recent changes in the world and engineering present both challenges opportunities to education. Engineering education is changing meet these challenges. More more programs strive include entrepreneurship innovation, traditionally American values, curriculum. In this paper, we our view on teaching future engineers describe experience introducing through an NSF-sponsored pilot program based collaboration between Stony Brook University three other major higher institutions Long Island.

10.1109/fie.2007.4418174 article EN 2007-10-01

Creativity and innovativeness are among the most essential attributes of engineering graduates also successful entrepreneurs. Entrepreneurship, or process starting a new venture, is one main roads to technological innovations. This paper presents two novel models entrepreneurship education integrated in computer science curricula geared towards computing students with entrepreneurial intentions. To expose all ideas spark their spirit, we developed several add-on modules for existing CS CE...

10.1109/fie.2010.5673619 article EN 2021 IEEE Frontiers in Education Conference (FIE) 2010-10-01

Brainstorming is the process of generating ideas in a specific task or problem context.We have previously presented connectionist framework to study dynamics idea generation individuals. In this paper, we develop model further, and apply it studying qualitatively effects priming on ideation. Motivated by experimental data from previous study, explore differential relevant irrelevant primes productivity problem/task contexts. Simulations using our suggest that even can provide modest boost...

10.1109/ijcnn.2009.5178947 article EN 2009-06-01

We present the results of an ongoing collaboration between computer science and psychology researchers that employs Natural Language Processing (NLP) methods to examine trajectory semantic space used during group idea generation sessions. Specifically, we track estimate region being degree which new ideas expand space. a visualization this mapping endeavor compare human ratings creativity dimensions (i.e., novelty, task-relevance, elaboration) algorithm-based estimations those same...

10.1080/10400419.2022.2157589 article EN Creativity Research Journal 2023-01-03

Decision making in large scale urban environments is critical for many applications involving continuous distribution of resources and utilization infrastructure, such as ambient lighting control traffic management. Traditional decision methods involve extensive human participation, are expensive, inefficient unreliable hard-to-predict situations. Modern technology, including ubiquitous data collection though sensors, automated analysis prognosis, online optimization, offers new capabilities...

10.48550/arxiv.1808.01169 preprint EN other-oa arXiv (Cornell University) 2018-01-01

Understanding the neural mechanisms of idea generation process has implications for research in brainstorming, creativity and innovation. In this paper we present a conceptual model generating ideas. The extends associative memory Brown et al. (1998) by explicitly representing categories as networks concepts ideas combinations. Simulation results are compared with experimental on effects priming low, versus high accessibility categories.

10.1109/ijcnn.2009.5178980 article EN 2009-06-01

Cognitive control -the ability to produce appropriate behavior in complex situations -is a fundamental aspect of intelligence. It is increasingly evident that this arises from the interaction dynamics several brain regions, and depends significantly on processes modulation dynamical biasing. While most research has focused explanations behavioral responses seen experiments pathologies, it reasonable expect internal functions such as planning thinking would also use similar mechanisms. In...

10.1109/ijcnn.2007.4371296 article EN IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks 2007-08-01

This paper presents InnovA, a cognitive architecture for creative problem solving in analog circuit design, e.g., topology creation (synthesis), incremental modification, and design knowledge identification reuse. The architectural modules attempt to replicate human activities, like concept formation, comparison, combination. uses multiple representations organized using topological similarity causality information. Solutions are clustered, so that each cluster represents specific set of...

10.1109/tcad.2017.2783344 article EN publisher-specific-oa IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2017-12-14

Creativity, innovation and leadership are among the essential attributes of future engineers as identified in Engineer 2020 report by National Academy Engineering. It is critical for students to have ability identify new needs opportunities technological highly complex interdisciplinary domains. Historically, entrepreneurship has fueled advent many advances. Therefore, education engineering or computing disciplines that complement strong analytical technical skills, likely significantly...

10.1109/fie.2010.5673380 article EN 2021 IEEE Frontiers in Education Conference (FIE) 2010-10-01

In this paper, we present a model for the generation of ideas within creative thinking/brainstorming context. model, emerge as conceptual combinations from interaction complex dynamics at several semantic levels: features, concepts, categories, and previously generated ideas. This is shaped by external information on task context, constraints goals, modulated evaluative feedback an internal critic working through reinforcement. While abstract, it attempts to capture interplay between...

10.1109/ijcnn.2009.5178932 article EN 2009-06-01

In creativity research a typical problem is that of assessing the novelty ideas or solutions generated by many people to open ended problems. For datasets larger than few hundreds, human assessment becomes time consuming and error prone. Existing detection methods such as: distance based text similarity language model approaches do not work well for small datasets. Moreover, when compared ratings, these fail capture same cognitive processes biases. We are proposing novel inspired leaky...

10.1109/ijcnn48605.2020.9206788 article EN 2022 International Joint Conference on Neural Networks (IJCNN) 2020-07-01

While major research universities enjoy a large pool of cutting-edge projects for technology transfer, small liberal art institutions have to adopt different model promoting entrepreneurship due resource limits. We propose sandbox teaching in software engineering class. Student activities are closely monitored and coordinated by the instructor. Introduction entrepreneurial thinking is tightly integrated with milestone Students allowed fail, but they can always resume from next milestone....

10.1109/fie.2010.5673360 article EN 2021 IEEE Frontiers in Education Conference (FIE) 2010-10-01

Semantic analysis of text corpora is broad utility, including for data from conversations, on-line chats, brainstorming sessions, comments on blogs, etc. - all which are potentially interesting sources information and ideas. In the present paper, we look at a large group experiment that generated thousands mostly brief statements. The ultimate goal to detect statements semantically atypical within overall corpus. contexts such as spam detection or intrusions, autoencoders have been used...

10.1109/ijcnn.2018.8489431 article EN 2022 International Joint Conference on Neural Networks (IJCNN) 2018-07-01
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