PhD, Transportation & Logistics
North Dakota State University (ND)
I am currently an assistant professor of supply chain management at Widener University. I believe my main role in the classroom is a facilitator of the complexity of data analysis and supply chain management knowledge. Subsequently, I tailor the material to overcome the technical difficulty in the courses and I focus on how the course content can be relevant to the students’ future careers. My teaching interests lie in the areas of enterprise resource planning, decision analytics, database management systems, transportation & logistics systems, project management, and data analytics.
I received a PhD degree in transportation and logistics with a concentration in logistics and supply chain systems from North Dakota State University. Prior to joining the Widener University, I was a graduate research assistant of a transportation and logistics focused research and education center known as the Upper Great Plains Transportation Institute (UGPTI). As a graduate research assistant, I was working on federally funded projects like Mountain-Plains Consortium project (MPC- [#550]) which was the expansion of my dissertation involving “Safety Support System for Highway-Rail Grade Crossing”.
In general, exploring and developing new mathematical, statistical, and machine learning approaches to solve transportation, supply chain and logistics complex problems are among my current and future research objectives. Moreover, I am open to conduct cutting-edge research ideas including those involving multi-discipline expertise to come up with new perspectives and solutions to existing complex problems. Relevant areas of my current and future research include: data mining & statistical analysis, decision-making supported by big data, transportation network analytics, project scheduling problems, machine learning algorithms for smart manufacturing, and accident analysis.
Student Paper Award, American Association of State Highway and Transportation Officials (2017)
Faculty in the School of Business Administration found an opportunity with the Philadelphia Union to have students interacting directly with fans for hands-on research experience that has international potential.
In this episode, Greg Potter interviews Widener professors Dr. Brian Larson and Dr. Amin Keramati and marketing student Ben Miller '25 on their research project at the Philadelphia Union. The researchers discuss collecting data on sports fan experience and how interest in the project is spreading internationally, including Barcelona and the Netherlands. They explore the benefits of using human-centric marketing, artificial intelligence, and facial recognition to improve the fan experience while increasing profits and efficiency.
Assistant Professor Amin Keramati was featured in a Q&A that discussed choosing car insurance.