Shlomo Engelson Argamon is a computer scientist and computational linguist at Touro University, where he is a Professor of Computer Science and Associate Provost for Artificial Intelligence.

Argamon currently works on authorship profiling and identification, connecting ideology and personality with language use variation, and on analyzing metaphors and what they say about how people think and how cultures structure human experience. He explores applications in intelligence analysis, forensic linguistics, biomedical informatics, and humanities scholarship. He is director of the Linguistics Cognition Laboratory.

Argamon received his B.Sc. in Applied Mathematics from Carnegie-Mellon (1988) and his Ph.D. in Computer Science from Yale University (1994). He received a Fannie and John Hertz Foundation Doctoral Research Fellowship (1991-94), a Fulbright Postdoctoral Fellowship at Bar-Ilan University (1994-96), and an Israel Science Foundation Immigrant Scientist Fellowship (1999-2002).

Argamon was the 2014 Distinguished Visitor in Forensic Linguistics at the Centre for Forensic Linguistics at Aston University in Birmingham, UK, and is a Fellow of the British Computer Society.

 

Areas of Expertise

Artificial Intelligence (AI), machine learning, natural language processing, forensic linguistics, and higher education leadership

Education

• Bachelor of Science, Applied Mathematics, Carnegie Mellon 
• MPhil, PhD, Computer Science, Yale University

 

Publications

• Terry, J., Lau, M. L., Sun, J., Xu, C., Hendricks, B., Kise, J., Lnu, M., Bagade, S., Shah, S., Makhijani, P., Karantha, A., Boltz, T., Oellien, M., Adas, M., Argamon, S., Long, M., & Guillen, D. P. (2021). Analysis of Extended X-Ray Absorption Fine Structure (EXAFS) Data Using Artificial Intelligence Techniques. Applied Surface Science, 547, 149059. https://doi.org/10.1016/j.apsusc.2021.149059
• Argamon, S. (2018). It’s the Autonomy, Stupid! On Reasonable and Unreasonable Risk-Assessment of AI. Brain-Based and Artificial Intelligence: Socio-Ethical Conversations in Computing and Neurotechnology, Chicago, IL. Retrieved from https://touroscholar.touro.edu/president_pubs/214
• Lakens, D., Adolfi, F. G., Albers, C. J., Anvari, F., Apps, M. A., Argamon, S. E., Baguley, T., Becker, R. B., Benning, S. D., Bradford, D. E., Buchanan, E. M., Caldwell, A. R., Van Calster, B., Carlsson, R., Chen, S., Chung, B., Colling, L. J., Collins, G. S., Crook, Z., Cross, E. S., Daniels, S., Danielsson, H., DeBruine, L., Dunleavy, D. J., Earp, B. D., Feist, M. I., Ferrell, J. D., Field, J. G., Fox, N. W., Friesen, A., Gomes, C., Gonzalez-Marquez, M., & Grange, J. A. (2018). Justify Your Alpha. Nature Human Behaviour, 2 (3), 168-171. https://doi.org/10.1038/s41562-018-0311-x
• Dunn, J., Argamon, S., Rasooli, A., & Kumar, G. (2016). Profile-Based Authorship Analysis. Digital Scholarship in the Humanities, 31 (4), 689-710. https://doi.org/10.1093/llc/fqv019
• Wang, Y., Xiong, H., Argamon, S., Li, X., & Li, J. (2015). Big Data Computing and Communications. Proceedings First International Conference BigCom 2015, Taiyuan, China, 9196. https://doi.org/10.1007/978-3-319-22047-5
• Dunn, J., Beltran de Heredia, J., Burke, M., Gandy, L., Kanareykin, S., Kapah, O., Taylor, M., Hines, D., Frieder, O., Grossman, D., Howard, N., Koppel, M., Morris, S., Ortony, A., & Argamon, S. (2014). Language-Independent Ensemble Approaches to Metaphor Identification. Proceedings of the AAAI 2014 Workshop on Cognitive Computing for Augmented Human Intelligence, Quebec City. Retrieved from https://touroscholar.touro.edu/president_pubs/305
• Assaf, D., Neuman, Y., Cohen, Y., Argamon, S., Howard, N., Last, M., Frieder, O., & Koppel, M. (2013). Why “Dark Thoughts” Aren't Really Dark: A Novel Algorithm for Metaphor Identification. 2013 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 60-65. https://doi.org/10.1109/CCMB.2013.6609166

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