Omid Mohaddesi

My name is pronounced "Oh-meed Moe-had-duh-see"

Bio

I am a Behavioral Data Scientist dedicated to understanding human decision-making in complex systems. My work uniquely integrates methodologies from Human-Computer Interaction (HCI), Data Science, and Behavioral Decision Science, paving the way for an enhanced understanding of human behavior and optimization of performance across various domains, including supply chains.

I received my Ph.D. in Industrial Engineering at Northeastern University under the advisement of Dr. Casper Harteveld. Prior to that, I received a Master of Science in Financial Engineering from Raja University and a Bachelor of Science in Industrial Engineering from the University of Tabriz.

Projects

Thought Bubbles

Distinct patterns in human decision-making can be attributed to varying mental models. To effectively elicit and evaluate these models over time and during interactions with the environment, unique approaches are required. Thought Bubbles is an innovative method for eliciting mental models in complex dynamic systems, which evoke thought processes in-situ and diegetically using open-ended prompts within an interactive virtual environment.

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Modeling Human-Simulation Interaction

One of the challenges in using game-based simulation environments (such as Gamettes) is the dynamic nature of the simulations. That means while the system's state affects human behavior, this state can also change due to human interaction with the simulation, which makes modeling human behavior a challenge. In this project, we aim at addressing this challenge by characterizing the human-simulation interaction.

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Gamettes

This project explores the use of a game-based simulation environment called Gamettes for collecting data on human decision-making in the supply chain context. Gamettes are short and simple games that are designed for a specific part of a simulation to immerse human participants into a decision scenario and collect micro-level data on their behavior.

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StudyCrafter

StudyCrafter is a playful platform where you can create, play and share research projects to study human behavior. Since 2017, I've been contributing to the research and development of this platform as well as efforts on back-end development and database design for this project.

Check out studycrafter.com to learn more.

Publications

Mohaddesi, O., Chicoine, N., Gong, M., Ergun, O., Griffin, J., Kaeli, D., Marsella, S., & Harteveld, C. (2023). Thought Bubbles: A Proxy into Players’ Mental Model Development. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Conference on Human Factors in Computing Systems, Hamburg, Germany. [PDF]
Ergun, O., Griffin, J., Chicoine, N., Gong, M., Mohaddesi, O., Raziei, Z., Harteveld, C., Kaeli, D., & Marsella, S. (2022). Supply Chain Resilience: Impact of Stakeholder Behavior and Trustworthy Information Sharing with a Case Study on Pharmaceutical Supply Chains. In Tutorials in Operations Research: Emerging and Impactful Topics in Operations. INFORMS. [PDF]
Mohaddesi, O., Griffin, J., Ergun, O., Kaeli, D., Marsella, S., & Harteveld, C. (2022). To Trust or to Stockpile: Modeling Human-Simulation Interaction in Supply Chain Shortages. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Conference on Human Factors in Computing Systems, New Orleans, LA, USA. [PDF]
Mohaddesi, O., & Harteveld, C. (2020, November). The Importance of Pilot Studies for Gamified Research: Pre-Testing Gamettes to Study Supply Chain Decisions. In Extended Abstracts of the 2020 Annual Symposium on Computer-Human Interaction in Play (pp. 316-320). [PDF]
Mohaddesi, O., Sun, Y., Azghandi, R., Doroudi, R., Snodgrass, S., Ergun, O., ... & Harteveld, C. (2020, April). Introducing Gamettes: A Playful Approach for Capturing Decision-Making for Informing Behavioral Models. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-13). [PDF]
Mohaddesi, O., Machado, T., & Harteveld, C. (2020, April). Learning from Gamettes: Imitating Human Behavior in Supply Chain Decisions. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems Extended Abstracts (pp. 1-9). [PDF]
Snodgrass, S., Mohaddesi, O., Hart, J., Rodriguez, G. R., Holmgård, C., & Harteveld, C. (2019, August). Like PEAS in PoDS: the player, environment, agents, system framework for the personalization of digital systems. In Proceedings of the 14th International Conference on the Foundations of Digital Games (p. 26). ACM. [PDF]
Snodgrass, S., Mohaddesi, O., & Harteveld, C. (2019, August). Towards a generalized player model through the PEAS framework. In Proceedings of the 14th International Conference on the Foundations of Digital Games (p. 98). ACM. [PDF]
Zandieh, M., and Mohaddesi. S.O. Portfolio Rebalancing under Uncertainty Using Meta-heuristic Algorithm. arXiv preprint arXiv:1812.07635, 2018. [PDF]
Doroudi, R., Azghandi, R., Feric, Z., Mohaddesi, O., Sun, Y., Griffin, J., ... Harteveld, C. An Integrated Simulation Framework for Examining Resiliency in Pharmaceutical Supply Chains Considering Human Behaviors. Proceedings of the 2018 Winter Simulation Conference, 2018. [PDF]
Harteveld, C., Snodgrass, S., Mohaddesi, O., Hart, J., Corwin, T., Romera Rodriguez, G. The Development of a Methodology for Gamifying Surveys. In Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts ACM, 2018. [PDF]

Contact

You can contact me by emailing mohaddesi.s@northeastern.edu

Northeastern University

Mechanical and Industrial Engineering Department

360 Huntington Ave

Boston, MA 02115

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