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Publications


Book Chapters




  1. H. Song, Y. Wang*, K. Pant, “Model Order Reduction," Encyclopedia of Micro-and Nano-fluidics, 2014, pp. 1-16, DOI: 10.1007/978-3-642-27758-0_1047-3, D. Li, Eds. Springer.
  2. Y. Wang, Q. Lin and T. Mukherjee, "Composable Behavioral Models and Schematic-Based Simulation of Electrokinetic Lab-on-a-Chip Systems," Design Automation Methods and Tools for Microfluidics-Based Biochips, 2006, pp. 109-142, K. Chakrabarty and J. Zeng, Eds. Norwell, MA: Springer.
  3. A.S. Bedekar, Y. Wang, S. Krishanamoorthy*, S. S. Siddhaye, and S. Sundaram, "System-Level Simulation of Flow-Induced Dispersion in Lab-on-a-Chip Systems," Design Automation Methods and Tools for Microfluidics-Based Biochips, 2006, pp. 189-214, K. Chakrabarty and J. Zeng, Eds. Norwell, MA: Springer.
  4. Y. Wang*, A.S. Bedekar, S. Krishanamoorthy, S. Sundaram, A. K. Singhal, “Model Order Reduction," Encyclopedia of Micro-and Nano-fluidics, 2008, pp. 1382-1391, D. Li, Eds. Springer.



Journal Publications




    Submitted
  1. J. Ou, X. Wu, Y. Qian, Y. Wang*, “GPU-enabled Evolutionary Dynamic Programming for Rapid Route and Rescue Planning for First Responders”, Journal of Traffic and Transportation Engineering (English Edition)    , (Under Review)
  2. J. Guo, Y. Qian, Y. Wang*, “A Transfer-learning TNet for Multitask Railroad Inspection”, Journal of Industrial Information Integration, (Submitted)
  3. C. Sevart, J. Kim, Y. Wang*, J. Simac, A. Kaminsky, “Optimal Sensor Placement and Parametric Aerostructural Control based on State-Consistent Reduced-Order Models”, AIAA Journal, (Under Review)
  4. J. Kim, J.I. Shu, Y. Wang*, J. Simac, A. Kaminsky, “Configurable Parametric AeroServoElastic-Gust Reduced-Order Models with State Consistence Enforcement”, AIAA Journal, (Minor Revision)
  5. G. Song, Y. Qian, Y. Wang*, “STGCN-PAD: A Spatial-Temporal Graph Convolutional Network for Detecting Abnormal Pedestrian Behaviors at Grade Crossings”, Pattern Analysis and Applications, (In Revision)
  6. J. Guo, S. Zhang, N. Amiri, L. Yu, Y. Wang*, “An Adversarial Transformer for Anomalous Lamb Wave Pattern Detection”, Neural Network, (Under Review)
  7. J. Ou, G. Song, Y. Wang*, “GPU-enabled Path Planning based on Global Evolutionary Dynamic Programming and Local Genetic Algorithm Optimization”, Applied Soft Computing, (Submitted)
    8. 2024
  8. Md A.K Tonmoy, T. Mahmood, C. Sevart, Y. Ling, Y. Wang*, “Explainable and Reduced-Feature Machine Learning Models for Shape and Drag Prediction of a Freely Moving Drop in the Sub-critical Weber Number Regime”, Chemical Engineering Journal, (Accepted)
  9. G. Song, S.H. Hong, T. Kyzer, Y. Wang*, “U-TFF: A U-Net-based Anomaly Detection Framework for Robotic Manipulators Energy Consumption Auditing Using Fast Fourier Transform”, Applied Sciences, https://doi.org/10.3390/app14146202.
  10. S.H. Hong, B. Albia, T. Kyzer, J. Cornelius, E.R. Mark, A.J. Hall, and Yi Wang*, "Artificial Neural Network-based Model Predictive Visual Servoing for Mobile Robots", Robotica, doi:10.1017/S0263574724001176.
  11. Y. Tang, Y. Wang, Y. Qian, “Railroad missing components detection via cascade region-based convolutional neural network with predefined proposal templates”, Computer-Aided Civil and Infrastructure Engineering, https://onlinelibrary.wiley.com/doi/10.1111/mice.13279.
  12. T. Mahmood, A. Tonmoy, C. Sevart, Y Wang, Y. Ling, “Data-driven modeling of the aerodynamic deformation and drag for a freely moving drop in the sub-critical Weber number regime”, International Journal of Multiphase Flow, https://doi.org/10.1016/j.ijmultiphaseflow.2024.104859.
  13. F. Hashemian, H. Yang, Y Wang*, X Deng, S. Kim, R. Vaidhyanathan, “Parametric Dynamic Simulation and Bayesian Design Optimization of a Front-Loading Washing Machine”, Journal of Vibration Engineering & Technologies, https://doi.org/10.1007/s42417-024-01401-4.
  14. A. J Wang, J. Deng, D. Westbury, A. RJ Downey, Y. Wang*, G. Wang*, “Travel time after photobleaching velocimetry”, Experiments in Fluids, https://doi.org/10.1007/s00348-024-03806-z.
  15. Md Asfiqur Rahman, J. I. Shu, Y. Qian, Y Wang*, J. A. Khan, “Multi-Phase Flow Simulation for Transient Analysis of Ballast Drainage Behavior and Shoulder Cleaning Effect”, Transportation Geotechnics, https://doi.org/10.1016/j.trgeo.2024.101258.
  16. J. I. Shu, Y. Wang*, “Droplet Injection for Multiphase Rainfall Simulations on Dynamically Refined Mesh for Effective Interface Capturing”, International Journal of Computational Fluid Dynamics, https://doi.org/10.1080/10618562.2024.2339286.
  17. X. Wei, D. Ma, J. Ou, G. Song, J. Guo, J. Robertson, Y. Wang, Q. Wang, C. Liu, “Narrowing Signal Distribution by Adamantane Derivatization for Amino Acid Identification Using α-Hemolysin Nanopore”, Nan Letters, https://doi.org/10.1021/acs.nanolett.3c03593.
  18. Y. Tang, Y. Wang, Y. Qian, “Edge-computing Oriented Real-Time Missing Track Components Detection Transportation Research Board”, Transportation Research Record, https://doi.org/10.1177/03611981241230546.
  19. J. Rains, Y. Wang*, A. House, A.L. Kaminsky, N.A. Tison, V.M. Korivi, “Constrained Optimized Dynamic Mode Decomposition with Control for Physically Stable Systems with Exogeneous Inputs”, Journal of Computational Physics, https://doi.org/10.1016/j.jcp.2023.112604.
    20. 2023
  20. J. Guo, S. Zhang, Y. Qian, and Y. Wang*, “An Adaptively Weighted Loss-enabled Lightweight Teacher-Student Model for Real-time Railroad Inspection on Edge Devices”, Neural Computing and Applications, https://doi.org/10.1007/s00521-023-09038-2.
  21. J. Ou, S.H. Hong, G. Song, Y. Wang*, "Hybrid Path Planning based on Adaptive Visibility Graph Initialization and Edge Computing for Mobile Robots", Engineering Applications of Artificial Intelligence , https://doi.org/10.1016/j.engappai.2023.107110.
  22. H. Yang, J. Ou, and Y. Wang*, “Neural-physics Multi-fidelity Model with Active Learning and Uncertainty Quantification for GPU-enabled Microfluidic Concentration Gradient Generator Design”, Computer Methods in Applied Mechanics and Engineering, https://doi.org/10.1016/j.cma.2023.116434.
  23. G. Song, S.H. Hong, T. Kyzer, and Y. Wang*, “Energy Consumption Auditing based on a Generative Adversarial Network for Anomaly Detection of Robotic Manipulators”, Future Generation Computer Systems, https://doi.org/10.1016/j.future.2023.07.034..
  24. F. Hashemian, X. Deng, Y. Wang, S. Kim, R. Vaidhyanathan, "A Comprehensive Study of the Effects of Various Design Variables on the Dynamic Behavior and Vibration Characteristics of a Front-Loading Washing Machine", Noise & Vibration Worldwide, https://doi.org/10.1177/09574565231194312..
  25. G. Song, Y. Qian, and Y. Wang*, “Analysis of Abnormal Pedestrian Behaviors at Grade Crossings based on Semi-supervised Generative Adversarial Networks.”, Applied Intelligence, https://doi.org/10.1007/s10489-023-04639-9..
  26. J. Ou, S.H. Hong, T. Kyzer, H. Yang, X. Zhou, Y. Wang*, "A Low-cost Indoor Positioning System based on Data-driven Modeling for Robotics Research and Education", Robotica, https://doi.org/10.1017/S0263574723000589.
  27. H. Yang, S.H. Hong, Y. Qian, Y. Wang*, "Multi-fidelity Surrogate-based Optimization for Microfluidic Concentration Gradient Generator Design", Engineering Computations, https://doi.org/10.1108/EC-01-2022-0037.
  28. J.I Shu, Y. Wang*, A. Brown, and A. Kaminsky, “Genetic Algorithm-Guided Development of Parametric Aeroelastic Reduced-Order Models with State-Consistence Enforcement”, AIAA Journal, https://arc.aiaa.org/doi/full/10.2514/1.J062918
  29. L.M. Lee, G.J. Klarmann, D.W. Haithcock, Y. Wang, K.H. Bhatt, B. Prabhakarpandian, K. Pant, L.M. Alvarez, and E. Lai, "Label-free Enrichment of Human Adipose-Derived Stem Cells using a Continuous Microfluidic Sorting Cascade", Lab on a Chip, https://doi.org/10.1039/D2LC01138G.
  30. E.A. Ogunniyi, C. Drnek, S.H. Hong, A. Downey, Y. Wang, J. Bakos, P. Avitabile, J. Dodson, "Real-time Structural Model Updating using Local Eigenvalue Modification Procedure for Applications in High-Rate Dynamic Events", Mechanical Systems and Signal Processing, https://doi.org/10.1016/j.jii.2022.100427.
  31. Y. Tang, Y. Wang, and Y. Qian*, “Railroad Crossing Surveillance and Foreground Extraction Network (RC-SAFE)-a weakly supervised AI approach” Transportation Research Record: Journal of the Transportation Research Board, Transportation Research Board of the National Academies, https://doi.org/10.1016/j.jii.2022.100427.
  32. F. Guo, Y. Wang, and Y. Qian*, “Real-Time Dense Traffic Detection Using Lightweight Backbone and Improved Path Aggregation Feature Pyramid Network." Journal of Industrial Information Integration, https://doi.org/10.1016/j.jii.2022.100427.
    33. 2022
  33. H. Yang, Y. Wang, "A Sparse Multi-fidelity Surrogate-based Optimization method with Computational Awareness", Engineering with Computers, https://doi.org/10.1007/s00366-022-01766-8.
  34. J.I. Shu, Y. Wang, W. Krolick, K. Pant, "Aeroelastic Reduced Order Model with State Consistence Enforcement", AIAA Journal, https://arc.aiaa.org/doi/10.2514/1.J062274.
  35. Z. Jiang, S. H. Hong, B. Albia; A. A. Hood, A. J. Hall, J. Cornelius, Y. Wang*, "A Multi-feature Fusion Network Model for Bearings Condition Assessment in Accelerated Aging Experiments", Neural Computing and Applications, https://doi.org/10.1007/s00521-022-07982-z .
  36. J.I. Shu, Y. Wang, Y. Qian, J.A Khan, “Analysis of the Effect of Shoulder Cleaning on Particle Migration within Ballast Based on a Coupled CFD-DEM Approach”, Transportation Geotechnics, https://doi.org/10.1016/j.trgeo.2022.100855.
  37. S.H. Hong, J. Ou, Y. Wang, "Physics-guided Neural Network and GPU Accelerated Nonlinear Model Predictive Control for Quadcopter", Neural Computing and Applications, https://doi.org/10.1007/s00521-022-07783-4.
  38. F. Bai, Y. Wang*, "DEIM-Embedded Hybrid Snapshot Simulation to Accelerate Reduced Order Model Generation", Engineering Computations, https://doi.org/10.1108/EC-11-2021-0647.
  39. Z. Jiang, G. Song, Y. Qian, Y. Wang*, "A deep learning framework for detecting and localizing abnormal pedestrian behaviors at grade crossing", Neural Computing and Applications, https://doi.org/10.1007/s00521-022-07660-0.
  40. H. Yang, S.H. Hong, G. Wang, Y. Wang*, "Multi-Fidelity Reduced-order Model for GPU-Enabled Microfluidic Concentration Gradient Design", Engineering with Computers, https://doi.org/10.1007/s00366-022-01672-z.
  41. H. Yang, S.H. Hong, Y. Wang*, "A Sequential Multi-Fidelity Surrogate-based Optimization Methodology based on Expected Improvement Reduction", Structural and Multidisciplinary Optimization, https://doi.org/10.1007/s00158-022-03240-x.
  42. F. Bai, Y. Wang*, “A Reduced Order Modeling Method Based on GNAT-embedded Hybrid Snapshot Simulation”, Mathematics and Computers in Simulation, https://doi.org/10.1016/j.matcom.2022.03.006.
  43. J. Ou, S.H. Hong, Y. Wang*, "GPU-based Global Path Planning using Genetic Algorithm with Near Corner Initialization", Journal of Intelligent & Robotic Systems, (online)
  44. F. Guo, Z. Jiang, Y. Wang, C. Chen, Y. Qian*, "Dense Traffic Detection at Railroad Grade Crossings", IEEE Intelligent Transportation Systems Transactions, https://ieeexplore.ieee.org/document/9686603, 2022.
  45. S.H. Hong, J.I. Shu, J. Ou, Y. Wang*, "GPU-Enabled Microfluidic Design Automation for Concentration Gradient Generators", Engineering with Computers, https://link.springer.com/article/10.1007/s00366-021-01548-8, 2022.
    46. 2021
  46. F. Guo, Y. Wang, Y. Qian, "Computer Vision-Based Approach for Smart Traffic Condition Assessment at Railroad Grade Crossing", Advanced Engineering Informatics, https://www.sciencedirect.com/science/article/pii/S1474034621002068?via%3Dihub.
  47. Z. Jiang, F. Guo, Y. Qian, Y. Wang*, W. D. Pan, "A Deep Learning-Assisted Mathematical Model for Decongestion Time Prediction at Railroad Grade Crossings", Neural Computing and Applications, https://doi.org/10.1007/s00521-021-06625-z.
  48. J.I. Shu, Y. Wang, Y. Qian, J.A. Khan, S. Schmidt, "Numerical Analysis of Temporal Effect of Ballast Shoulder Cleaning", Transportation Geotechnics, 28, 100532, 2021.
  49. S.H. Hong, J.I. Shu, Y. Wang*, O. Baysal, "Automated Optimization of Double Heater Convective Polymerase Chain Reaction Devices based on CFD Simulation Database and Artificial Neural Network Model", Biomedical Microdevices, 23, 20, 2021. https://doi.org/10.1007/s10544-021-00551-6.
  50. W.C. Krolick, J.I. Shu, Y. Wang*, K.Pant, “State Consistence of Data-driven Reduced Order Models for parametric Aeroelastic Analysis”, SN Applied Sciences, 3, 267 (2021). https://doi.org/10.1007/s42452-021-04252-w.
    51. 2020
  51. F. Bai, Y. Wang*, "DEIM Reduced Order Model Constructed by Hybrid Snapshot Simulation", SN Applied Sciences, https://doi.org/10.1007/s42452-020-03958-7
  52. S.H. Hong, J. Cornelius, Y. Wang*, K. Pant, "Optimized Artificial Neural Network Model and Compensator in Model Predictive Control for Anomaly Mitigation", Journal of Dynamic Systems, Measurement and Control, https://doi.org/10.1115/1.4049130
  53. J.I. Shu, S.H. Hong, Y. Wang*, and O. Baysal, "Surrogate- and Possibility-based Design Optimization for Convective Polymerase Chain Reaction Devices", Microsystem Technologies, 2020, https://doi.org/10.1007/s00542-020-05007-0.
  54. S.H. Hong, H. Yang, and Y. Wang*, "Inverse Design of Microfluidic Concentration Gradient Generator using Deep Learning and Physics-based Component Model", Journal of Microfluidics and Nanofluidics (accepted and online first) 24:44, 2020.
  55. J. Wang, Y. Wang*, J. Shi*, "A Time Step Fusion Method with Finite Volume Formulation for Accelerated Thermal Analysis of Selective Laser Melting", International Journal of Precision Engineering and Manufacturing-Green Technology, 8, 1181-1196, 2021.
  56. F. Bai, and Y. Wang*, “Reduced Order Modeling based on Hybrid Snapshot Simulation”, International Journal of Computational Methods (accepted)
  57. J.I. Shu, J.W. Lee, S. Kim, J.L. Lee, and Y. Wang, "Multi-Stage Liquid Rocket Weight Estimation and Optimization for Early Design Stages", Journal of Aerospace Engineering, (accepted).
  58. H. Yang, S.H. Hong, R. ZhG, and Y. Wang*, "Surrogate-based Optimization with Adaptive Sampling for Microfluidic Concentration Gradient Generator Design", RSC Advances, 10, 13799-13814, 2020.
  59. A.L. Kaminsky*, Y. Wang*, and K. Pant, "An Efficient Batch K-Fold Cross-Validation Voronoi Adaptive Sampling Technique for Global Surrogate Modeling", Journal of Mechanical Design, (online first), Paper No. MD-19-1928, 2020.
  60. P. Borate, G. Wang*, Y. Wang* , "Data-Driven Structural Health Monitoring Approach Using Guided Lamb Wave Responses", Journal of Aerospace Engineering, DOI: 10.1061/(ASCE)AS.1943-5525.0001145, 2020
  61. J. Wang, Y. Wang, and J. Shi*, "On Efficiency and Effectiveness of Finite Volume Method for Thermal Analysis of Selective Laser Melting", Engineering Computations, Vol. 37, No. 6, 2155-2175, 2020.
  62. S.H. Hong, J. Cornelius, Y. Wang*, K. Pant, "Fault Compensation by Online Updating of Genetic Algorithm-selected Neural Network Model for Model Predictive Control", SN Applied Sciences, 1:1488, 2019.
    63. 2019
  63. S. Zhu, Y. Wang*, "Scaled Sequential Threshold Least-Squares (S2TLS) Algorithm for Sparse Regression Modeling and Flight Load Prediction", Aerospace Science and Technology, Vol. 85, 514-528, 2019
    64. 2018
  64. E. D. Robertson, Y. Wang*, K. Pant, M. J. Grismer, J. A. Cameros, "A Flow Feature Detection Framework for Large-scale Computational Data Based on Incremental Proper Orthogonal Decomposition and Data Mining", International Journal of Computational Fluid Dynamics, Vol. 32, pp. 261-277, 2018
  65. L. M. Lee, J. M. Rosano, Y. Wang*, G. Klarmann, C. J. Garson, B. Prabhakarpandian, K. Pant, L. M. Alvarez and E. Lai, "Label-Free Mesenchymal Stem Cells Enrichment from Bone Marrow Samples by Inertial Microfluidics", Analytical Methods, 10(7), 713-721, 2018
    66. 2017
  66. J. Zhu, Y. Wang*, K. Pant, "Genetic Algorithm-based Model Order Reduction of Aeroservoelastic Systems with Consistent States", Journal of Aircraft, Vol. 54, pp. 1443-1453, 2017
  67. H. Song, J.M.Rosano, Y.Wang*, C.J. Garson, B. Prabhakarpandian, K. Pant, G.J. Klarmann, L.M.Alvarez, E. Lai, "Spiral-shaped inertial stem cell device for high-throughput enrichment of iPSC-derived neural stem cells", Microfluid Nanofluid, Vol. 21: 64. DOI:10.1007/s10404-017-1896-5, 2017
    68. 2016
  68. H. Song, J. Rosano, Y. Wang*, et al. "Identification of Mesenchymal Stem Cell Differentiation State Using Dual-micropore Microfluidic Impedance Flow Cytometry", Analytical Methods, Vol. 8, pp. 7437-7444, 2016. (Cover Story)
    69. 2015
  69. J. Qian, Y. Wang*, H. Song, K. Pant, "Projection-Based Reduced Order Modeling For Spacecraft Thermal Analysis", Journal of Spacecraft and Rockets, Vol. 52, pp. 978-989, 2015.
  70. H. Song, J. Rosano, Yi Wang*, et al. "Continuous-Flow Sorting of Stem Cells and Differentiation Products based on Dielectrophoresis", Lab on Chip, 15, Vol. 5, pp. 1320-1328, 2015.
  71. H. Song, Y. Wang*, C. Garson, K. Pant, "Concurrent DNA Preconcentration and Separation in Bipolar Electrode-Based Microfluidic Device", Analytical Methods, Vol. 7, 1273-1279, 2015. (Cover Story)
  72. X. Tian, H. Guo, K. H. Bhatt, S. Q. Zhao, Y. Wang, J. Guo*, "Super-Period Gold Nanodisc Grating-Enabled Surface Plasmon Resonance Spectrometer Sensor", Applied Spectroscopy, Vol. 69, pp. 1182-1189, 2015.
    73. 2014
  73. Yi Wang*, J. Qian et al. "Feature Extraction from Massive, Dynamic Computational Data based on Proper Orthogonal Decomposition and Feature Mining", Journal of Visualization, Vol. 17, pp. 363-372, 2014
  74. H. Song, Y. Wang*, C. Garson, K. Pant, "Nafion-film-based Micro–nanofluidic Device for Concurrent DNA Preconcentration and Separation in Free Solution", Microfluidics and Nanofluidics, Vol. 17, pp. 693-699, 2014
  75. Y. Wang*, H. Song, K. Pant, "A reduced-order model for whole-chip thermal analysis of microfluidic lab-on-a-chip systems", Microfluidics and Nanofluidics, Vol. 16, pp. 369-380, 2014.
    76. 2013
  76. H. Song, Y. Wang*, J. M. Rosano, B Prabhakarpandian, C. Garson, K. Pant, and E. Lai, "A microfluidic impedance flow cytometer for identification of differentiation state of stem cells", Lab on Chip, Vol. 13, pp. 2300-2310, 2013.
  77. H. Song*, Y. Wang, K. Pant, “Scaling law for cross-stream diffusion in microchannels under combined electroosmotic and pressure driven flow”, Microfluidics and Nanofluidics, Vol. 14, pp. 371-382, 2013.
  78. G. Lamberti*, Y. Tang, B. Prabhakarpandian, Y. Wang, K. Pant, M. F. Kiani, B. Wang, "Adhesive interaction of functionalized particles and endothelium in idealized microvascular networks", Microvascular Research, Vol. 89, pp. 107–114, 2013.
    79. 2012
  79. H. Song*, Y. Wang, K. Pant, “Cross-stream diffusion under pressure-driven flow in microchannels with arbitrary aspect ratios: a phase diagram study using a three-dimensional analytical model”, Microfluidics and Nanofluidics, Vol. 12, pp. 265-277, 2012.
    80. 2011
  80. H. Song, Y. Wang*, K. Pant, “System-level simulation of liquid filling in microfluidic chips”, Biomicrofluidics, Vol. 5, 024107, 2011.
  81. Prabhakarpandian B.*, Y. Wang, A. Rea-Ramsey, S. Sundaram, MF Kiani, K. Pant, "Bifurcations: focal points of particle adhesion in microvascular networks", Microcirculation, Vol. 18, No. 5, pp. 380-389, 2011.
    82. 2010
  82. Y. Zhou, Y. Wang, Q. Lin*, A Microfluidic Device for Continuous-Flow Magnetically Controlled Capture and Isolation of Microparticles, Journal of Microelectromechanical Systems, Vol. 19, No. 4, pp. 743-751, 2010.
    83. 2009
  83. Y. Wang*, K. Pant, et al., “Numerical Analysis of Electrokinetic Transport in Micro-nanofluidic Interconnect Preconcentrator in Hydrodynamic Flow”, Microfluidics and Nanofluidics, Vol. 7, pp. 683-696, 2009.
  84. Z. Zhou, Y. Wang*, T. Mukherjee, Q. Lin*, “Generation of Complex Concentration Profiles by Partial Diffusive Mixing in Multi-stream Laminar Flow”, Lab on Chip, Vol. 9, pp. 1439-1448, 2009.
    85. 2007
  85. Y. Wang*, Aditya S. Bedekar, S. Krishnamoorthy, Sachin S. Siddhaye, and Shivshankar, “System-Level Modeling and Simulation of Biochemical Assays in Lab-on-a-Chip Devices”, Microfluidics and Nanofluidics, Vol. 3, pp. 307-322, 2007.
  86. A. S. Bedekar*, Y. Wang, S. S. Siddhaye, S. Krishnamoorthy, and S. F. Malin, "Design Software for Application-Specific Microfluidic Devices," Clinical Chemistry, Vol. 53, pp. 2023-2026, 2007.
    87. 2006
  87. Y. Wang, Q. Lin* and T. Mukherjee, “Systematic Modeling and Design of Microfluidic Concentration Gradient Generators”, Journal of Micromechanics and Microengineering, Vol. 16, pp. 2128-2137, 2006.
  88. Y. Wang, Q. Lin and T. Mukherjee, “Composable Behavioral Models and Schematic-Based Simulation of Electrokinetic Lab-on-a-Chip Systems”, IEEE Trans. CAD., 2006, Vol. 2, pp.258-273.
  89. A.S. Bedekar, Y. Wang, S. Krishnamoorthy*, S.S. Siddhaye and S. Sundaram, “System-Level Simulation of Flow-Induced Dispersion in Lab-on-a-Chip Systems”, IEEE Trans. CAD., 2006, Vol. 2, pp. 294-304.
    90. 2005
  90. Y. Wang, Q. Lin* and T. Mukherjee, “A model for laminar diffusion-based complex electrokinetic passive micromixers”, Lab on chip, 2005, Vol. 5, pp. 877-887.
    91. 2004
  91. Y. Wang, Q. Lin* and T. Mukherjee, “A Model for Joule Heating-Induced Dispersion in Microchip Electrophoresis”, Lab on chip, 2004, Vol.4 pp. 625-631.
  92. Y. Wang, Q. Lin* and T. Mukherjee, “System-Oriented Dispersion Models of General-Shaped Electrophoresis Microchannels”, Lab on chip, 2004, Vol. 4, pp. 453-463. (Hot Article)
    93. 2002
  93. W. Chen, X. Zhou, J. Xia, X. Jin, and Y. Wang, “Simulation Research on Control Strategies and Modeling of the Double-Evaporator Air-Conditioner with Inverter”, Journal of System Simulation (Chinese), 2002, Vol. 14, pp. 643-646.
    94. 2001
  94. X. Zhou, W. Chen, J. Xia, and Y. Wang, “Research on the Transient Performance of the Double-Evaporator VRV Air Conditioner”, Fluid Machinery (Chinese), 2001, Vol. 29, pp. 53-56.
    95. 2000
  95. Y. Wang, X. Zhou, J. Xia, and W. Chen, “Numerical Research on Simulation Model in Double-Evaporator Air Conditioning System with Inverter”, Energy Conservation (Chinese), 2000, Vol. 9, pp. 7-10.
  96. X. Zhou, Y. Wang, Z. Zhou, and F. Xiao, “Simulation Research on Fuzzy Control of Inverter-aid Air Conditioner Based on Systems of Variable Conditions”, Fluid Machinery (Chinese), 2000, Vol. 7, pp. 42-46.
  97. Z. Zhou, X. Zhou, Y. Wang, and F. Wang, “Simulation Research on the System Characters of Air-Conditioner with Inverter”, Fluid Machinery (Chinese), 2000, Vol. 28, pp. 43-47.
  98. Y. Wang, X. Zhou, “Dynamic Simulation Study on the characteristics of the Evaporators in Air-Conditioner with Inverter”, Journal of Anhui Institute of Architecture (Chinese), 2000, Vol. 8, pp. 61-64




Conference Proceedings




  1. G. Song, S.H.Hong, T.Kyzer, and Y. Wang*, "Energy Consumption Auditing based on a Generative Adversarial Network for Anomaly Detection of Robotic Manipulators", Annual Conference of the PHM Society, (Accepted), 2023
  2. J. Guo , S. Zhang, Y. Qian, and Y. Wang*, "A NanoDet Model with Adaptively Weighted Loss for Real-time Railroad Inspection ", Annual Conference of the PHM Society, (Accepted), 2023
  3. G. Song, Y. Qian, Y. Wang*, " A Deep Generative Adversarial Network (GAN)-enabled Abnormal Pedestrian Behavior Detection at Grade Crossings ", IEEE SoutheastCon, https://ieeexplore.ieee.org/document/10114963, 2023
  4. J. Ou, S.H. Hong, Y. Wang*, "Adaptive Visibility Graph Initialization on Edge Computing to Accelerate Hybrid Path Planning for Mobile Robots ", IEEE SoutheastCon, https://ieeexplore.ieee.org/document/10115186, 2023
  5. J.I. Shu, Y. Wang*, A. Brown, A.L. Kaminsky, "Parametric Aeroelastic Reduced-Order Modeling with Hyperparameter Optimization for Flutter Analysis", AIAA SCITECH, Paper No. 2701, 2023.
  6. J.I. Shu, Y. Wang*, W.C. Krolick, K. Pant, "Genetic Algorithm-Guided Parametric Aeroelastic Reduced-Order Model with State-Consistence Enforcement", AIAA SCITECH, Paper No. 1313, 2023.
  7. H. Yang, S.H. Hong, Y. Wang*, "A Novel Adaptive Sampling Method Based on Expected Improvement Reduction", IEEE Southeast Conference, 10.1109/SoutheastCon48659.2022.9764023, 2022.
  8. S.H. Hong, K. Kyzer, J. Cornelius, F. Zahiri, Y. Wang*, "Intelligent Anomaly Detection of Robot Manipulator Based on Energy Consumption Auditing", IEEE Aerospace Conference, 10.1109/AERO53065.2022.9843528, 2022.
  9. S.H. Hong, Y. Wang*, and Y. Yu, "Model Predictive Control of Quadcopter Using Physics-guided Neural Network", AIAA SciTech, Paper No. 1730, 2022.
  10. A. Brown, A. Kaminsky, Y. Wang, K. Pant, and M. McDaniel, "An Approach for the Automated Adjustment of Local Models for Improved Adaptive Design of Experiments”, AIAA SciTech, 0302, 2022.
  11. J. Shu, W. Krolick, Y. Wang*, and K. Pant, “Aeroelastic Reduced Order Model with State Consistence Enforcement”, AIAA SciTech, Paper No. 0990, 2022.
  12. Y. Qian, Y. Wang, Kashani, H., and Fanucci, F., “Effect of Ballast Shoulder Cleaning on Fouling Particles Migration within Ballast Matrix”, 2021 American Railway Engineering and Maintenance-of-Way Association Annual Conference, Indianapolis, IN, September 2021.
  13. F. Guo, Y. Qian*, Y. Wang, D.C. Rizos, and Y. Shi, “Laboratory study on frost heave of ballast” submitted to the 4th International Conference on Transportation Geotechnics (ICTG), May 23-26, 2021.
  14. S.H. Hong, A. House, A.L. Kaminsky, N. Tison, Y. Ruan, V. Korivi, Y. Wang*, K. Pant, "Machine Learning-based Thermal and Flow Simulation on Heterogeneous Platform for Signature Prediction", Ground Vehicle Systems Engineering and Technology Symposium 2021.
  15. Y. Wang*, W.C. Krolick, A.L. Kaminsky, N. Tison, Y. Ruan, V. Korivi, K. Pant, "A Hybrid Reduced Order Modeling Approach for Rapid Transient Thermal Simulation and Signature Analysis", Ground Vehicle Systems Engineering and Technology Symposium 2021.
  16. W.C. Krolick, Y. Wang*, K. Pant, “Nonlinear Aeroelastic Reduced Order Modeling Based on Nested Optimization and Regularization”, AIAA SciTech Forum, Paper No. AIAA-2021-1912, 2021.
  17. J. Cornelius, B. Brockner, S.H. Hong, Y. Wang, K. Pant, J. Ball, “Estimating and Leveraging Uncertainties in Deep Neural Networks for Remaining Useful Life Prediction”, IEEE International Conference on Prognostics and Health Management, DOI: 10.1109/ICPHM49022.2020.9187063, 2020.
  18. S.H. Hong, A. Downy, Y. Wang, J. Dodson, and J. Hong, “Real-Time Model Updating Algorithm for Structures Experiencing High-rate Dynamic Events”, The ASME 2020 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2020-2439, V001T03A018, 2020.
  19. F. Guo, Y. Qian, Y. Wang, D.C. Rizos, S. Wang, and H. Yu, “Real-Time Traffic Congestion Assessment and Decongestion Time Prediction at Grade Crossing for the First Responders”, Transportation Research Board 2020 Annual Meeting. Paper No. 20-00756.
  20. H. Song, Y. Wang*, and K. Pant, “Parametric Fluid-structural Interaction Reduced Order Models in Continuous Time Domain for Aeroelsatic Analysis of High-speed Vehicles”, Proceedings of AIAA SciTech 2020. Paper No. AIAA2020-0939.
  21. S. H. Hong; J. Cornelius, Y. Wang*, K. Pant, “Online Machine Learning Model Compensator for Model Predictive Control and Anomaly Mitigation of Mechanical Systems”, Proceedings of AIAA SciTech 2020. Paper No. AIAA2020-2251.
  22. C. S. Talley, T. J. Wray, Y. Wang, and S. D. Habchi, “Flutter Analysis at Variable Mach and Angle of Attack Utilizing Reduced-Order Models”, Proceedings of the International Forum on Aeroelasticity and Structural Dynamics 2019.
  23. J. Wang, J. Shi, Y. Wang, Y. Bai, “Thermal Analysis and Verification for Direct Metal Deposition of 0Cr18Ni9 Stainless Steel”, Proceedings of MSEC2019, 2019 ASME Manufacturing Science and Engineering Conference, Paper No.: MSEC2019-2892.
  24. W.C. Krolick, Y. Wang*, K. Pant, “Parametric Data-Driven Reduced Order Models with State Consistence for Aeroelastic Analysis”, Proceedings of the ASME/IMECE, 2019, Paper No. 11333.
  25. Y. Wang*, K. Pant, W. N. Hashii, and A. Atachbarian, “Surrogate Modeling and Data Analytics for Flight Load Analysis”, 49th Annual Symposium of the Society of Flight Test Engineers (SFTE), 2018.​
  26. A. L Kaminsky, Y. Wang, K. Pant, W. N. Hashii, A. Atachbarian, “Adaptive sampling techniques for surrogate modeling to create high-dimension aerodynamic loading response surfaces”, 2018 Applied Aerodynamics Conference, AIAA AVIATION Forum, Paper ID AIAA 2018-4199, 2018.
  27. J. Wang, J. Shi, Y. Hu, Y. Wang, J. Dai, K. Xu, “Fast Computation of Thermal Field of Direct Metal Deposition: A Preliminary Study Based On Quiet Element Method”, 2018 Manufacturing Science and Engineering Conference & North American Manufacturing Research Conference, Paper ID MSEC2018-6696, 2018
  28. Y. Wang*, K. Pant, M.J. Brenner, J.A. Ouellette, "Greedy Sampling and Incremental Surrogate Model-based Tailoring of Aeroservoelastic Model Database for Flexible Aircraft", 59th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Material Conference, Paper No. AIAA 2018-1210, 2018.
  29. L.M. Lee, Y. Wang*, C.J. Garson, G.J. Klarmann, B. Prabhakarpandian, K. Pant, L.M. Alvarez, and Eva Lai, "Enrichment of Human Adipose-Derived Stem Cells by a Spiral-shaped Inertial Microfluidic Sorter", The 21st International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS 2017), Paper No. M188h
  30. J. Zhu, Y. Wang*, K. Pant, P.M. Suh, M.J. Brenner, "Genetic Algorithm-Guided, Adaptive Model Order Reduction of Flexible Aircrafts", 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Material Conference, Paper ID AIAA 2017-1598, 2017.
  31. Y. Wang*, H. Song, K. Pant, M.J. Brenner, P. Suh, "Model Order Reduction of Aeroservoelastic Model of Flexible Aircraft", 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Material Conference, Paper ID. AIAA 2016-1222, 2016.
  32. H. Song, J.M. Rosano1, G.J. Klarmann, C.J. Garson1, B. Prabhakarpandian, L.M. Alvarez, E. Lai, Y. Wang*, Kapil Pant, "High Throughput Enrichment of iPSC-Derived Neural Stem Cells using Spiral-shaped Inertial Microfluidic Devices", International Conference of Microfluidics, Nanofluidics and Lab-on-a-Chip, Paper ID. 11-437, 2016.
  33. H. Song, J.M. Rosano1, Y. Wang*, et al., "A Continuous-Flow Microfluidic Device For The Separation Of Stem Cells And Their Differentiation Progency Based On Dielectrophoresis", 19th International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS), pp. 361-363, 2015.
  34. H. Song, J. Qian1, Y. Wang* et al. "Development of Aeroelastic and Aeroservoelastic Reduced Order Models for Active Structural Control", 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Material Conference, paper ID: 2015-2055, 2015.
  35. H. Song, Y. Wang*, C. Garson, K. Pant, "Nafion film based nanofluidic device for concurrent DNA preconcentration and separation", IEEE NANO, 549-552, 2013.
  36. H. Song, Y. Wang*, K. Pant, "Three-Dimensional Analytical Model for Pressure-Driven Cross-Stream Diffusion in Microchannels With Arbitrary Aspect Ratios", ASME 3rd International Conference on Micro/Nanoscale Heat and Mass Transfer (MNHMT), pp. 27-37, 2012
  37. Y. Wang*, H. Song, K. Pant, H. Peabody, J. Ku, and C.D.Butler, “A Projection-Based Model Order Reduction Simulation Tool for Spacecraft Thermal Analysis”, 2011 Thermal & Fluids Analysis Workshop (TFAWS), Paper ID: TFAWS2011-PT-001, 2011
  38. J.J. Wei*, M. Rexius, M. Kofke, Y. Wang, S. Singhal, D.H. Waldeck, "Nano-plasmonics Sensing and Integration with Microfluidics for a Lab-on-chip", Nanotech 2011, Vol. 3, pp. 79-82, 2011
  39. Y. Wang*, H. Song, K. Bhatt, K. Pant, "Electrokinetics Models for Micro and Nano Fluidic Impedance Sensors", 27th Annual Army Science Conference, Paper ID: AP-009, 2010
  40. K. Bhatt*, Y. Wang, J. Nichols, I. Mills, and K. Pant, "A Novel Nanofluidics-Based Sensor System", Annual Army Science Conference, Paper ID: MP-007, 2010
  41. Y. Wang*, K. Pant, "System-Level Modeling of Surface-Immobilized Biomolecular Concentration Gradient Generation", ASME 1st International Conference on Micro/Nanoscale Heat and Mass Transfer (MNHMT), 179-186, 2009.
  42. Y. Wang*, K. Pant, ZJ Chen, W. Diffey, P. Ashley, S. Sundaram, “Numerical Analysis of Nanofluidic Sample Preconcentration in Hydrodynamic Flow”, 11th International Conference on Modeling and Simulation of Microsystems, pp. 442-445, 2008.
  43. Z. Zhou, Y. Wang, T. Mukherjee, Q. Lin*. “Design Synthesis and Experimental Validation of Microfluidic Concentration Gradient Generators”. IEEE MEMS’2008, pp. 579-582, 2008.
  44. Y. Wang*, K. Pant, J. Grover, S. Sundaram, “Multi-physics Simulational Analysis of a Novel PCR Micro-Device”, 10th International Conference on Modeling and Simulation of Microsystems, Vol. 3, pp. 456-459, 2007.
  45. Y. Wang, Q. Lin* and T. Mukherjee, “System-Level Modeling and Design of Microfluidic Concentration Gradient Generators”. 1st IEEE International Conference on Nano/Micro Engineered and Molecular Systems, pp. 1368-1373, 2006.
  46. Y. Wang*, A.S. Bedekar, S. Krishnamoorthy et. al. “Mixed methodology-based system level simulation of biochemical assays in integrated microfluidic systems”, 9th International Conference on Modeling and Simulation of Microsystems, pp. 546-549, 2006.
  47. G.R. Wang*, J. Guo, Y. Lin, J. Feng, J. Wei, Y. Wang, S.Krishnamoorthy, S. Sundaram, “Laser-Induced Fluorescence Photobleaching Anemometer for Flow Velocity Measurement in Sub-Microscale Fluidic Channels”, 2006 IEEE/LEOS Summer Topical Meeting on Optofluidics: Emerging Technologies and Applications, pp. 34-35, 2006.
  48. Y. Wang*, R. Magargle, Q. Lin, J.F. Hoburg and T. Mukherjee, “System-Oriented Modeling and Simulation of Biofluidic Lab-on-a-chip”, The 13th International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers’05), pp. 1280-1283, 2005.
  49. Y. Wang*, Q. Lin and T. Mukherjee, “System Simulations of Complex Electrokinetic Passive Micromixers”, 8th International Conference on Modeling and Simulation of Microsystems, pp. 579-582, 2005.
  50. Y. Wang*, Q. Lin and T. Mukherjee, “Applications of Behavioral Modeling and Simulation on Lab-on-a-chip: Micro-Mixer and Separation System”, 2004 IEEE International Behavioral Modeling and Simulation Conference, pp. 1-6, 2004.
  51. Y. Wang*, Q. Lin and T. Mukherjee, “Models for Joule Heating Dispersion in Complex Electrophoretic Separation Microchannels”, 2004 ASME International Mechanical Engineering Congress and Exposition, No. 60970, 2004.
  52. Y. Wang*, Q. Lin and T. Mukherjee, “Analytical Models for Complex Electrokinetic Passive Micromixers”, The 8th International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS) , pp. 596-598, 2004.
  53. Y. Wang*, Q. Lin and T. Mukherjee, “Composable System Simulation of Dispersion in Complex Electrophoretic Separation Microchips”, 7th International Conference on Modeling and Simulation of Microsystems, pp. 59-62, 2004.
  54. Y. Wang*, Q. Lin and T. Mukherjee, “Analytical Dispersion Models for Efficient Simulation of Complex Microchip Electrophoresis Systems”, The 7th International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS), pp. 135-138, 2003.
  55. Y. Wang*, Q. Lin and T. Mukherjee, “Universal Joule Heating Model in Electrophoretic Separation Microchips”, The 6th International Conference on Miniaturized Systems for Chemistry and Life Sciences (MicroTAS), pp. 82-84, 2002.
  56. Y. Wang*, Q. Lin, J. Hoburg and T. Mukherjee, “Modeling of Joule Heating in Electrophoretic Separation Microchips”, 5th International Conference on Modeling and Simulation of Microsystems, pp. 80-83, 2002.
  57. X. Zhou*, Y. Wang, J. Xia, B. Shen, “Research on Dynamic Characteristics of Double Evaporators in VRV Air Conditioner”, 2000 International Conference of Air Conditioning in High Rise Buildings (ACHRB), pp. 279-283, 2000.
  58. J. Xia*, F. Xiao, X. Jin, Y. Wang, G. Huang, “Optimal Sizing Analysis of Water Chillers in Large Air Conditioning System”, 2000 International Conference of Air Conditioning in High Rise Buildings (ACHRB), pp. 145-149, 2000.
  59. B. Shen*, Z. Su, Y. Wang, “Control of Air-Conditioner with Inverter Using Evaporating Pressure as Middle-Target via Fuzzy Method”, 2000 International Refrigeration Conference at Purdue, pp. 457-464, 2000.
  60. B. Shen*, Z. Su, Y. Wang, “Research On Characteristics Of Double-Evaporators In VRV Air Conditioner”, 2000 International Refrigeration Conference at Purdue, pp. 135-142, 2000.
  61. H. Song1*, Y. Wang, D. Gordon, et al., "A Novel Microfluidic Device for Continuous Protein Separation and Purification", Scientific Conf. on Chemical & Biological Defense Research, 2015.
  62. Y. Wang*, "Parameter-Varying AeroServoElastic Reduced Order Model for X-56A", Aerospace Flutter and Dynamics Council Meeting, 2015.
  63. Y. Wang*, H. Song, K. Pant, "An Accurate Real-Time Simulation Tool for Generating Missile Hardbody Thermal Histories", National Space & Missile Materials Symposium (NSMMS) Commercial and Government Responsive Access to Space Technology Exchange (CRASTE), 2014.
  64. H. Song1, Y. Wang*, J. Rosano, et al., "A Micropore-based Impedance Flow Cytometer for Identifying Differentiation State of Stem Cells", BMES Annual Fall Meeting, 2013.
  65. K. Bhatt1*, J. Rosano, H. Song1, Y. Wang, and K. Pant, "Electrokinetic-Based Microfluidic Universal Sample-Preparation (EMUS) Platform", Scientific Conf. on Chemical & Biological Defense Research, 2010.
  66. Y. Wang*, H. Song, K. Bhatt, J. Rosano, K. Pant, "An Integrated, Electrokinetics-Augmented Microfluidic Device for Forensic DNA Analysis", Scientific Conf. on Chemical & Biological Defense Research, 2010.
  67. H. Song1, Y. Wang*, K. Pant, "System-level Simulation of Liquid Filling in Microfluidic Chips", Lab on a Chip World Congress, 2010.
  68. Y. Wang*, K. Pant ZJ Chen, W. Diffey, P. Ashley, and S. Sundaram. “Numerical Analysis of Electrokinetic Transport at Micro-Nanofluidic Interfaces in Hydrodynamic Flow and Applications in Sample Preconcentration”, Eighth International Electrokinetic Conference, 2008.
  69. Y. Wang, K. Pant*, S. Sundaram, “A Novel Electrostatics-Based Aerosol Concentrator for Biodefense Applications”, Scientific Conf. on Chemical & Biological Defense Research, 2007.
  70. B. Prabhakarpandian, K. Pant, Y. Wang, and S. Sundaram*, “An Integrated Microfluidic Device for Fully Automated Isolation of RNA From Small Cell Cultures”, BMES Annual Fall Meeting, 2007.
  71. A. J. Pfeiffer, Y. Wang, Q. Lin, R. Magargle, J. Hoburg, T. Mukherjee and S. Hauan, “Design and Optimization of Microchip Based Electrophoretic Channel Topologies”, 2003 AIChE Annual Meeting, pp. 24b, 2003.
  72. Y. Wang, X. Zhou, J. Xia, and W. Chen, “Study of Fuzzy Self–Adaptive PID Control Method of Electronic Expansion Valve in Air Conditioning Systems with Inverter-aid Compressor”, Annual Conference of Chinese Society of Engineering Thermodynamics, pp. 54-59, 2000, Beijing, P.R.China (Chinese).
  73. Y. Wang, X. Zhou, J. Xia, and W. Chen, “Transient Simulation Study of Superheat Degree in Air Conditioning Systems with Inverter-aid Compressor”, Annual Conference of Chinese Society of Engineering Thermodynamics, pp. 60-65, 2000, Beijing, P.R.China. (Chinese)




Patents




  1. “Miniaturized Electrothermal Flow Induced Infusion Pump”, U.S. Patent No. 9,283,597, Non-provisional Patent Filed on Sept. 6, 2006
  2. “Electrostatic Aerosol Concentrator”, U.S. Patent No. 8,246,720 B2, Non-provisional Patent Filed on Jul. 31, 2007
  3. “Microfluidic Biological Extraction Chip”, U.S. Patent No. 8,435,465 B2, Non-provisional Patent Filed on Nov.3, 2008
  4. “Method and Apparatus for Separating Particles by Dielectrophoresis”, U.S. Patent No. 8,778,160 B2, Non-provisional Patent Filed on Jul.26, 2011
  5. “Bipolar Electrode Sample Preparation Devices”, U.S. Patent No. 9,784,710 B2, Non-provisional Patent Filed on Mar. 10, 2014