Research

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Modeling and Simulation of Complex Systems

My research primarily involves stochastic simulation (discrete-event, agent-based, and Monte Carlo) and optimization approaches in design and operation of complex systems.  My methodological and applied research aim to develop innovative algorithms that contribute to the science of decision-making in a wide range of areas from queueing systems, supply chain, bike sharing, energy, and infrastructure resilience to the intersection of production and marketing strategies for innovations.

Funding:

A. Negahban (PI), G. Qiu, M. Stutman, S. W. Wagner. “Energy Efficient Buildings: Using Data Analytics to Incorporate Occupancy in Scheduling and Load Profiling,” Institutes for Energy and the Environment, The Pennsylvania State University. April 2018 – June 2019, $33,050.

M. Darayi, A. Negahban (co-PI), Q. Qiang, S. M. Srinivasan. “Leveraging Big Data for Holistic Analysis of PA’s Freight Transportation Infrastructure Resilience Subject to Natural and Man-Made Disasters,” The Center for Security Research and Education (CSRE), The Pennsylvania State University. January 2019 – December 2019, $71,437.


Immersive Simulation-Based Learning

The project involves designing, developing, and assessing the effectiveness of problem-based learning (PBL) via immersive simulations. An immersive simulation PBL module is a learning environment specified by: (a) A virtual setting (immersive simulation model) that resembles a real system/environment and enables contextually enriched, technology-enhanced active learning and can be explored on a 2D display or via a virtual reality (VR) headset (if available); (b) processes in the virtual environment that include multiple stations, and comprise technical as well as organizational aspects; (c) A set of products or entities that flow throughout the environment and are processed (e.g., manufactured, assembled, stored, transported); and, (d) a didactical concept that comprises formal and informal learning, enabled by own actions of the learners during and after virtual site visits/field trips based on remote active learning instead of on-site learning. These represent problems/projects inspired by real-world situations and tied to the emerging and growing STEM workforce needs. More information and open online immersive simulation PBL modules can be found in the project’s website: https://sites.psu.edu/immersivesimulationpbl/

Funding:

A. Negahban (PI), O. Onipede, S. Ozden, O. Ashour, C. Millet. “Transforming Online and On-Campus Education through Simulated Real-World Inspired Industry Projects,” University Strategic Initiative Seed Grants, The Pennsylvania State University. January 2019 – December 2020, $59,348.

A. Negahban (PI). “Virtual Reality-Enabled Simulation Modules for Teaching and Learning of Modeling Concepts,” Teaching & Learning Innovation Grant, The Pennsylvania State University, February 2019 – May 2020, $8,200.

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