Publications

Full List of Publications: Google Scholar

Journal Articles

  1. R. Chen, M. Sodhi, M. Imani, M. Khanzadeh, A. Yadollahi, and F. Imani, “Brain-inspired Computing for In-process Melt Pool Characterization in Additive Manufacturing”, CIRP Journal of Manufacturing Science and Technology, 2023. (Accepted)
  2. S. Bansude, F. Imani, and R. Sheikhi, “A Data-driven Framework for Computationally Efficient Integration of Chemical Kinetics Using Neural Ordinary Differential Equations,” Journal of Computational Physics, 2022. (Under Review)
  3. R. Chen, E. W. Reutzel, M. Khanzadeh, and F. Imani, “Heterogeneous Gaussian Process for Modeling Design-induced Defect in Powder Bed Fusion Additive Manufacturing,” Journal of Additive Manufactuirng Letters, Vol.3, p100042, 2022. DOI
  4. Z. Zou, H. Alimohamadi, A. Zakeri, F. Imani, Y. Kim, M. Najafi, and M. Imani, “Memory-inspired spiking hyperdimensional network for robust online learning,” Nature Scientific Reports, Vol.3, No. 1, p1-13, 2022. DOI
  5. P. Poduval, A. Zakeri, F. Imani, H. Alimohamadi, M. Imani, “Graphd: Graph-based hyperdimensional memorization for brain-like cognitive learning,” Frontiers in Neuroscience, Vol. 16, p.5, 2022. DOI
  6. R. Chen, M. Imani, F. Imani, “Joint Active Search and Neuromorphic Computing for Efficient Data Exploitation and Monitoring in Additive Manufacturing,” Elsevier Journal of Manufacturing Process, Vol. 71, p 743-752, 2021. DOI
  7. R. Yazdi, F. Imani, and H. Yang, “A Hybrid Deep Learning Model of Process-Build Interactions in Additive Manufacturing,” Elsevier Journal of Manufacturing System, 2020. DOI
  8. 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, Vol. 141, No. 4, p044501, 2019. DOI (Best poster award in IISE Conference Quality Control and Reliability Engineering Division)
  9. 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, Vol. 9, No. 4, p315-326, 2019. DOI (Featured Article in ISE Magazine, August 2019)
  10. 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, Vol. 141, No. 11, p111001, 2019. DOI
  11. 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, Vol. 3, No. 1, p98-121, 2019. DOI
  12. 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}}, Vol. 24, No. 6, 2019. DOI (Best poster award in the 2019 Northeastern Regional Conference on Complex Systems)
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. F. Imani, H. Shahriari, and A. Asl Hadad, “An Optimal Preventive Maintenance Policy During the Lifetime Warranty,” Technical Journal of Engineering and Applied Sciences, Vol. 3, No. 24, p3525-3533, 2013.

Peer-reviewed Conference Papers

  1. S. Rescsanski*, M. Imani, and F. Imani, “Heterogeneous Sensing and Bayesian Optimization for Smart Calibration in Additive Manufacturing Process,” ASME The International Mechanical Engineering Congress and Exposition (IMECE), 2022. (Accepted)
  2. F. Imani and R. Chen, “Latent Representation and Characterization of Scanning Strategy on Laser Powder Bed Fusion Additive Manufacturing,” ASME The International Mechanical Engineering Congress and Exposition (IMECE), 2022. (Accepted)
  3. K. Safari, S. Khalfalla*, and F. Imani, “A Novel Fuzzy-BELBIC Structure for the Adaptive Control of Satellite Attitude,” ASME The International Mechanical Engineering Congress and Exposition (IMECE), 2022. (Accepted)
  4. K. Safari and F. Imani, “Dependency Evaluation of Defect Formation and Printing Location in Additive Manufacturing,” ASME The International Mechanical Engineering Congress and Exposition (IMECE), 2022. (Accepted)
  5. P. Poduval, Y. Ni, Z. Zou, F. Imani, Y. Kim, R. Cammarota, K. Ni, and M. Imani, “NetHD: Brain-Inspired Hyperdimensional System for Robust Data Transmission and Integrated Learning,” IEEE International Conference on Computer Communications (INFOCOM), 2022. (Submitted)
  6. Z. Zou, Y. Kim, F. Imani, H. Alimohamadi, R. Cammarota, and M. Imani, “Scalable edge-based hyperdimensional learning system with brain-like neural adaptation,” International Conference for High Performance Computing, Networking, Storage and Analysis, pp.1-15, 2021. DOI
  7. P. Poduval, M. Issa, F. Imani, C. Zhuo, X. Yin, H. Najafi, and M. Imani, “Robust In-Memory Computing with Hyperdimensional Stochastic Representation,” IEEE/ACM International Symposium on Nanoscale Architectures, pp.1-6, 2021. DOI
  8. F. Imani, and M. Khanzadeh, “Image-Guided Multi-Response Modeling and Characterization of Design Defects in Metal Additive Manufacturing,” ASME The International Mechanical Engineering Congress and Exposition (IMECE), 2021. DOI
  9. X. Zhao, A. Imandoust, M. Khanzadeh, F. Imani, and Linkan Bian, “Automated Anomaly Detection of Laser-based Additive Manufacturing Using Melt Pool Sparse Representation and Unsupervised Learning,” Solid Free Form Fabrication Symposium, 2021. LINK
  10. J. Quevedo, M. Abdelatti, F. Imani, and M. Sodhi, “Using Reinforcement Learning for Tuning Genetic Algorithms,” The Genetic and Evolutionary Computation Conference (GECCO), 2021. DOI
  11. F. Imani, Z. Qiu, and H. Yang, “Markov Decision Process Modeling for Multi-stage Optimization of Intervention and Treatment Strategies in Breast Cancer,” Proceeding of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, July 20-24, 2020, the EMBS Virtual Academy. DOI
  12. Z. Qiu, F. Imani, and H. Yang, “Hierarchical Gaussian Process Modeling and Estimation of State-action Transition Dynamics in Breast Cancer,” Proceeding of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, July 20-24, 2020, the EMBS Virtual Academy. DOI
  13. F. Imani, R. Chen, C. Tucker, and H. Yang, “Random Forest Modeling for Survival Analysis of Cancer Recurrences,” Proceeding of the 15th IEEE International Conference on Automation Science and Engineering (CASE), Aug 22-26, 2019, Vancouver, BC, Canada. DOI (IEEE CASE invited talk)
  14. F. Imani, R. Chen, E. Diewald, E. Reutzel, and H. Yang, “Image-guided Variant Shape Analysis of Layerwise Build Quality in Additive Manufacturing,” Proceeding of the 14th International Manufacturing Science and Engineering Conference (MSEC), June 10-14, 2019, Erie, PA. LINK
  15. A. Gaikwad, F. Imani, P. Rao, H. Yang, and E. Reutzel, “On Design Rules and In-process Build Quality Monitoring of Thin-wall Features Made Using Laser Powder Bed Fusion Additive Manufacturing Process,” Proceeding of the 14th International Manufacturing Science and Engineering Conference, June 10-14, 2019, Erie, PA. LINK
  16. F. Imani, B. Yao, R. Chen, P. Rao, and H. Yang, “Fractal Pattern Recognition of Image Profiles for Manufacturing Process Monitoring and Control,” Proceeding of the 13th International Manufacturing Science and Engineering Conference, pp. V003T02A003, June 10-14, 2018, College Station, TX. DOI (The 2nd Place in Service Enterprise Engineering Competition)
  17. F. Imani, A. Gaikwad, M. Montazeri, P. Rao, H. Yang, and E. Reutzel, “Layerwise In-process Quality Monitoring in Laser Powder Bed Fusion,” Proceeding of the 13th International Manufacturing Science and Engineering Conference, pp. V001T01A038, June 10-14, 2018, College Station, TX. DOI
  18. F. Imani, C. Cheng, R. Chen, and H. Yang, “Nested Gaussian Process Modeling for High-dimensional Data Imputation in Healthcare Systems,” Proceeding of Institute of Industrial and System Engineering (IISE) Annual Conference, pp. 1312-1317, May 19-22, 2018, Orlando, FL. LINK (Best paper finalist in IISE Conference Healthcare Systems Division)
  19. F. Imani, T. Jin, and L. Bai, “Modeling and Simulation of Hybrid Battery Swapping Stations with Fast Onboard Charging,” Proceeding of Industrial and Systems Engineering Research Conference (ISERC), pp. 1028-1033, May 21-24, 2016, Anaheim, CA. LINK
  20. K.H. Gabriel Bae, L. Zheng, and F. Imani, “A Simulation Analysis of the Vehicle Axle and Spring System Assembly Line,” Proceeding of 2015 Winter Simulation Conference (WSC), pp. 2249-2259, December 6-9, 2015, Huntington Beach, CA. DOI