About Me

I am a PhD student at Tufts University studying Computer Science and Cognitive Science.  Before coming to Tufts, I recieved a M.Eng in Electrical and Computer Engineering from National University of Singapore and a B.Sc. in Computer Engineering from Iran University of Science and Technology. Broadly speaking, my research interests lie at the intersection of AI, machine learning and cognitive science.


Sadeghi, S., Scheutz, M. (2017). Joint Acquisition of Word Order and Word Referent in a Memory-Limited and Incremental Learner. In Proceedings of the 2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom). pdf

Sadeghi, S., Scheutz, M., Krause, E. (2017). An Embodied Incremental Bayesian Model of Cross-Situational Word Learning. In Proceedings of the 2017 Joint IEEE International Conference on Development and learning and Epigenetic Robotics (ICDL-EPIROB). pdf (Demo is available here).

Scheutz, M., Krause, E., and Sadeghi, S. (2014). An Embodied Real-Time Model of Language-Guided Incremental Visual Search. In Proceedings of the 36th annual meeting of the cognitive science society. pdf

Sadeghi, S., Scheutz, M., Pu, H., Holcomb, P. J., and Midgley, K. J. (2013). A PDP Model for Capturing N400 Effects in Early L2 Learners during Bilingual Word Reading Tasks. In Proceedings of the 35th annual conference of the cognitive science society. pdf

Sadeghi, S., and Ramanathan, K. (2011, July). A Hubel Wiesel model of early concept generalization based on local correlation of input features. In Neural Networks (IJCNN), The 2011 International Joint Conference on (pp. 709-716). IEEE. pdf


Ramanathan, K and Sadeghi, S., Data structure and a method for using the data structure. US Patenet 13/354, 185.


Monroe, B.M., Laine, T., Gupta, S., Sadeghi, S. and Farber, I. (January 2012). A Test of Predictive Validity of Connectionist Models of Person Judgments. Talk presented at Social Dynamics and Computational Modeling Preconference, Society of Personality and Social Psychology Annual Conference, San Diego, USA.

Unpublished Manuscripts

Sadeghi S., A Hubel Wiesel Model of Early Concept Generalization based on Local Correlation of Input Features. M.Eng. Thesis.

Sadeghi, S., Fusion of Color and Infrared images for pedestrian detection using SVM, B.Sc. Thesis.