Laboratory for Intelligent Systems and Analytics
The Harold and Inge Marcus Department of Industrial and Manufacturing Engineering
The Harold and Inge Marcus Department of Industrial and Manufacturing Engineering
Meet our distinguished faculty members leading research in intelligent systems and analytics
Professor and Lab Director
Ph.D. in Industrial Engineering, [University]
email@psu.edu
(814) 863-XXXX
233 Leonhard Building
Associate Professor
Ph.D. in Computer Science, [University]
email@psu.edu
(814) 863-XXXX
233 Leonhard Building
Our talented doctoral students conducting cutting-edge research
PhD in Industrial Engineering
Research: AI & ML in Manufacturing
email@psu.edu
PhD in Industrial Engineering
Research: Healthcare Analytics
email@psu.edu
PhD in Industrial Engineering
Research: Complex Networks
email@psu.edu
PhD in Industrial Engineering
Research: Supply Chain Resilience
email@psu.edu
PhD in Industrial Engineering
Research: Smart Manufacturing
email@psu.edu
PhD in Industrial Engineering
Research: Sensor Networks
email@psu.edu
Our dedicated master's students contributing to research projects
MS in Industrial Engineering
Research: Data Analytics
email@psu.edu
MS in Industrial Engineering
Research: Machine Learning
email@psu.edu
MS in Industrial Engineering
Research: Healthcare Systems
email@psu.edu
MS in Industrial Engineering
Research: Process Optimization
email@psu.edu
Former lab members who have gone on to successful careers in academia and industry
PhD in Industrial Engineering, 2023
Assistant Professor, [University]
Dissertation: "Advanced Machine Learning Techniques for Manufacturing Systems"
PhD in Industrial Engineering, 2022
Research Scientist, [Company]
Dissertation: "Complex Network Analysis for Supply Chain Resilience"
PhD in Industrial Engineering, 2021
Data Scientist, [Company]
Dissertation: "Healthcare Analytics for Patient Flow Optimization"
PhD in Industrial Engineering, 2020
Assistant Professor, [University]
Dissertation: "Sensor Data Fusion for Smart Manufacturing"
MS in Industrial Engineering, 2023
Process Engineer, [Company]
Thesis: "Optimization of Manufacturing Processes using Machine Learning"
MS in Industrial Engineering, 2022
Data Analyst, [Company]
Thesis: "Predictive Maintenance for Manufacturing Equipment"