Faculty Profile

Rahmat Beheshti

Rahmat Beheshti

Assistant Professor
414 Smith Hall
Newark, Delaware 19716
P: 302-831-0072

Personal Website


Postdoctoral | 2018 | Johns Hopkins Bloomberg School of Public Health
PhD | 2015 | University of Central Florida
MSc | 2011 | Iran University of Science and Technology
BSc | 2008 | Kharazmi University


Rahmat Beheshti works in the area of Health Data Science and Applied Machine Learning. He has worked extensively on two major public health epidemics: smoking and obesity and has focused on very different aspects of these two, including the social, economic, environmental, and lately biological factors that affect these epidemics.



  1. R. Beheshti, Y. Treesukosol, T. Igusa, and T. H. Moran, “A predictive model of rats’ calorie intake as a function of diet energy density,” American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 2018. [accepted/in press]
  2. R. Beheshti, T. Igusa, J. Jones-Smith, “Taking dietary habits into account: A computational method for modeling food choices that goes beyond price,” PLoS One 12, 1-13, 2017. PMCID:28542615.
  3. R. Beheshti, M. Jalalpour, and T. A. Glass, “ Comparing methods of targeting obesity interventions in populations: An agent-based simulation,” Social Science & Medicine –  Population Health, vol. 3, pp. 211– 218, 2017.
  4. R. Beheshti, T. Igusa, and J. Jones-Smith, “Simulated models suggest that price per calorie is the dominant price metric that low-income individuals use for food decision-making,” The Journal of Nutrition , vol. 146, no. 11, pp. 2304– 2311, 2016. [Impact Factor: 4.15]
  5. R. Beheshti and G. Sukthankar, “A hybrid modeling approach for parking and traffic prediction in urban simulations,” AI and Society , vol. 30, no. 3, pp. 333-344, 2015.
  6. R. Beheshti and N. Mozayani, “ HOMAN, a learning based negotiation method for Holonic multi-agent systems,” Journal of Intelligent and Fuzzy Systems , vol. 26, no. 2, pp. 655– 666, 2014.

Book Chapters

  1. R. Beheshti and N. Mozayani, “A new mechanism for negotiations in multi-agent systems based on ARTMAP artificial neural network,” in Agent and Multi-Agent Systems: Technologies and Applications, vol. 6682 of Lecture Notes in Computer Science, pp. 311-320, Springer International Publishing, 2011.
  2. R. Beheshti and N. Mozayani, “Negotiations in Holonic multi-agent systems,” in Recent Advances in Agentbased Complex Automated Negotiation, pp. 107-118, Springer International Publishing, 2016.

 View Full CV