Farhad Imani

Assistant Professor

School of Mechanical, Aerospace, and Manufacturing Engineering

---

Education

• Dual Ph.D. in Industrial Engineering and Operations Research, The Pennsylvania State University, State College, PA
• M.S. in Industrial Engineering, University of Louisville, 2016
• B.S. in Industrial Engineering, University of Science and Culture, 2010

Research Interests

• Sensor-based process monitoring of additive manufacturing (AM)
  Biomedical and health informatics
• Bayesian optimization and statistical learning
• Big data analytics, privacy and cybersecurity
• Control theory and sequential decision making
• Nonlinear dynamics and chaos
• Computer simulation and optimization

Honors and Awards

• 2020, James E. Marley Graduate Fellowship in Engineering, The Pennsylvania State University
• 2020, Breakthrough Project, Highlighted in National Science Foundation IUCRC website
• 2019, Doctoral Student Colloquium, Institute for Operations Research and Management Sciences (INFORMS) Annual Meeting, Seattle, WA
• 2019, Brush Graduate Fellowship, The Pennsylvania State University
• 2019, Best Poster Award, Northeast Regional Conference on Complex Systems conference, Binghamton, NY
• 2019, Featured Article in ISE Magazine, Institute of Industrial and System Engineers (IISE) Transactions on Healthcare Systems Engineering
• 2019, The 2nd Place in Service Enterprise Engineering Poster Competition, Department of Industrial and Manufacturing Engineering, The Pennsylvania State University
• 2019, The 3rd Place, Poster Competition in Industrial Advisory Board Meetings, NSF Center for Health Organization Transformation (CHOT), Seattle, WA
• 2018 – Present, Research Scholar, NSF CHOT (Suzan G. Komen)
• 2018, Best Poster Award, Quality Control and Reliability Engineering Division (QCRE), IISE Annual Conference, Orlando, FL
• 2018, Best Paper Finalist, Healthcare Systems Track, IISE Annual Conference, Orlando, FL
• 2018, NSF Student Travel Award, ASME 13th International Manufacturing Science and Engineering Conference (MSEC), College Station, TX
• 2017 – 2018, Research Scholar, NSF Center for e-Design (Lockheed Martin)
• 2016 – 2017, Prestigious University Graduate Fellowship, (1 out of 30 in the 2016 recruiting class), The Pennsylvania State University

Publications

F. Imani, B. Yao, R. Chen, P. Rao, and H. Yang, “Joint Multifractal and Lacunarity Analysis of Image Profiles for Manufacturing Quality Control,” ASME Journal of Manufacturing Science and Engineering, 141(4):044501-044501-7, 2019. DOI: https://doi.org/10.115/1.4042579 (Best poster award in IISE Conference Quality Control and Reliability Engineering Division)

F. Imani, C. Cheng, R. Chen, and H. Yang, “Nested Gaussian Process Modeling and Imputation of High-dimensional Incomplete Data Under Uncertainty,” IISE Transactions on Healthcare Systems Engineering, 2019. DOI: https://doi.org/10.1080/24725579.2019.1583704 (Featured Article in ISE Magazine 2019)

F. Imani, R. Chen, E. Diewald, E. Reutzel, and H. Yang, “Deep Learning of Variant Geometry in Layerwise Imaging Profiles for Additive Manufacturing Quality Control,” ASME Transactions Journal of Manufacturing Science and Engineering, 2019. DOI: https://doi.org/10.1115/1.4044420

A. Gaikwad, F. Imani, P. Rao, H. Yang, and E. Reutzel, “In Situ Monitoring of Thin-Wall Build Quality in Laser Powder Bed Fusion Using Deep Learning,” ASTM Journal of Smart and Sustainable manufacturing systems, 2019. DOI: https://doi.org/10.1520/SSMS20190027

F. Imani, R. Chen, E. Reutzel, and H. Yang, “Spatiotemporal Gaussian Process for Image-guided Quality Control of Additive Manufacturing,” under review, IISE Transactions on Design and Manufacturing, 2019.

R. Chen, F. Imani, and H. Yang, “Heterogeneous Recurrence Analysis of Disease-altered Spatiotemporal Patterns in Multi-channel Cardiac Signals,” IEEE Journal of Biomedical and Health Informatics, 2019. DOI: https://doi.org/10.1109/JBHI.2019.2952285 (Best poster award in the 2019 Northeastern Regional Conference on Complex Systems)

F. Imani, A. Gaikwad, M. Montazeri, P. Rao, H. Yang, and E. Reutzel, “Process Mapping and In-process Monitoring of Porosity in Laser Powder Bed Fusion Using Layerwise Optical Imaging,” ASME Transactions Journal of Manufacturing Science and Engineering, Vol. 140, No. 10, p101009, 2018. DOI: http://dx.doi.org/10.1115/1.4040615

B. Yao, F. Imani, H. Yang, and E. Reutzel, “Multifractal Analysis of Image Profiles for the Characterization and Detection of Defects in Additive Manufacturing,” ASME Journal of Manufacturing Science and Engineering, Vol. 140, No. 3, p031014, 2018. DOI: http://dx.doi.org/10.1115/1.4037891

B. Yao, F. Imani, and H. Yang, “Markov Decision Process for Image-guided Additive Manufacturing,” IEEE Robotics and Automation Letters, Vol. 3, No. 4, p2792-2798, 2018. DOI: http://dx.doi.org/10.1109/LRA.2018.2839973

R. Chen, F. Imani, E. Reutzel, and H. Yang, “From Design Complexity to Build Quality in Additive Manufacturing – A Sensor-based Perspective,” IEEE Sensor Letters, Vol. 3, No. 4, p1-4, 2018. DOI: http://dx.doi.org/10.1109/LSENS.2018.2880747

F. Imani, and K.H. Gabriel Bae, “Preventive Maintenance Modeling in Lifetime Warranty,” International Journal of Quality Engineering and Technology, Vol.6, No. 4, p249-268, 2017. DOI: http://dx.doi.org/10.1504/IJQET.2017.094306