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Industrial Engineering

The Department of Industrial Engineering faculty are widely recognized for their significant contributions to industrial engineering research and education. Their diverse research expertise often pairs with other departments and colleges within the university.

Research Applications

Research Methodologies

Stochastic Modeling and Systems

Stochastic modeling is built upon probability theory, statistics, and stochastic processes to address uncertain, complex physical, cyber, and service systems. Our fundamental research in this area includes modeling systems, analyzing the system performance with respect to input uncertainty, and validating output against real-world uncertain outcomes. The research in IE spans a whole host of applications in supply chains and healthcare systems.

Focus Areas

  • Reinforcement Learning
  • Queuing Theory
  • Simulation
  • Applied Probability

Faculty

Tuğçe Işık

Tuğçe Işık

ASSISTANT PROFESSOR
(864) 656-2454
tisik@clemson.edu

Amin Khademi profile

Amin Khademi

ASSOCIATE PROFESSOR
(864) 656-6919
khademi@clemson.edu

Kharoufeh profile

Jeffrey P. Kharoufeh

PROFESSOR
(864) 656-5540
kharouf@clemson.edu

Hamed Rahimian profile

Hamed Rahimian

ASSISTANT PROFESSOR
(864) 656-7889
hrahimi@clemson.edu

Song profile

Yongjia Song

ASSOCIATE PROFESSOR
(864) 656-9832
yongjis@clemson.edu

Kevin M. Taaffe profile

Kevin M. Taaffe

PROFESSOR/DEPARTMENT CHAIR
Harriet and Jerry Dempsey Professor
(864) 656-0291
taaffe@clemson.edu

Emily Tucker profile

Emily Tucker

ASSISTANT PROFESSOR
(864) 656-9573
etucke3@clemson.edu

The Department of Industrial Engineering faculty are widely recognized for their significant contributions to industrial engineering research and education. Their diverse research expertise often pairs with other departments and colleges within the university.

Research Applications

Research Methodologies