Dr. Mahsa Mahdavisharif

Assistant Professor

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Biography

Mahsa Mahdavisharif is a Research Engineer II at the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology, affiliated with the Physical Internet Lab (PI Lab). Her research focuses on risk disruption evaluation in supply chains, emphasizing enhancing resilience and adaptability in complex systems. With expertise in machine learning, process optimization, and decision support systems, she develops innovative strategies to manage and mitigate disruptions in supply chains. Throughout her academic and professional career, Mahdavisharif has made significant contributions to the fields of supply chain management and industrial engineering, applying her work across various industries, including manufacturing, food, and healthcare, to drive improvements in operational efficiency and strategic decision-making. She has a strong foundation in Lean principles and has successfully integrated digital technologies to optimize supply chain processes in alignment with Industry 4.0 advancements. Currently, her focus is on risk disruption management while leveraging insights gained from game theory to address complex challenges in industrial engineering. She is also passionate about mentoring students and collaborating with industry partners to translate research into practical applications.

Research Interests

Experience

Research Engineer II

— Present

H. Milton Stewart School of Industrial and Systems Engineering • Atlanta, GA

Focuses on risk disruption evaluation in supply chains, enhancing resilience and adaptability in complex systems.

Requirements for Georgia Institute of Technology

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:19
Reading
Required:19
Writing
Required:19
Speaking
Required:19
Total
Required:100
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:5.5
Speaking
Required:6.5
Overall
Required:7.5
Prerequisites
Undergraduate degree in computer science or related field
Application Checklist
  • Online application
  • Official transcripts
  • Three letters of recommendation
  • Statement of Purpose
Specialization Notes

Department of Computer Science: GRE scores are optional for Fall 2026.