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dragan.djurdjanovic@mail.utexas.edu
512-232-0815
Office Location: ETC 5.122

Dragan Djurdjanovic

Professor

Accenture Endowed Professorship in Manufacturing Systems Engineering

Department Research Areas

Analytics and Probabilistic Modeling

Research Interests

Physical analytics, exploring fusion of physics and data driven models for modeling, monitoring and control of complex systems, with applications in advanced manufacturing and human neuromusculoskeletal data analytics; fusion of physics and data analytics, condition monitoring, automatic process control, semiconductor manufacturing, human body performance.

Bio

Dragan Djurdjanovic obtained his B.S. in Mechanical Eng. and in Applied Mathematics in 1997 from the Univ. of Nis, Serbia, his M.S. in Mechanical Eng. from the Nanyang Technological Univ., Singapore in 1999, and his M.S. in Electrical Eng. (Systems) and Ph.D. in Mechanical Eng. in 2002 from the Univ. of Michigan, Ann Arbor. His research interests include advanced quality and process control in multistage manufacturing systems, intelligent proactive maintenance techniques and applications of advanced data analytics in biomedical engineering. He was the director of the recently graduated NSF Industry-University Cooperative Research Center (I-UCRC) on Intelligent Maintenance Systems at The University of Texas at Austin and is Associate Director of the NSF Engineering Research Center on Nanomanufacturing Systems (NASCENT Center). He co-authored 69 journal publications, 9 book chapters and more than 30 refereed conference publications. He is a Fellow of the International Society for Engineering Asset Management, Associate Member of the International Academy for Production Research (CIRP) and is the recipient of several prizes and recognitions, including the 2018 August-Wilhelm Scheer Visiting Professorship from Technical University of Munich, 2006 Outstanding Young Manufacturing Engineer Award from the Society of Manufacturing Engineers (SME) and 2005 Teaching Incentive Award from the Department of Mechanical Engineering of the University of Michigan.

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