Sensors and Intelligent Systems Laboratory

Recent Journal Publications
   
  1. L. Chen, F. Meng, and Y. Zhang, “Fast human-in-the-loop Control for HVAC Systems via Meta-learning and Model-based Offline Reinforcement Learning,” IEEE Transactions on Sustainable Computing, vol. 8, no. 3, pp. 504-521, July-Sept. 2023.
  2. J. Li, G. Sun, H. Kang, A. Wang, S. Liang, Y. Liu, and Y. Zhang, “Multi-Objective Optimization Approaches for Physical Layer Secure Communications Based on Collaborative Beamforming in UAV Networks,” IEEE/ACM Transactions on Networking, vol. 31, no. 4, pp. 1902-1917, August 2023.
  3. C. Cheng, S. Liu, H. Wu, and Y. Zhang, “Mixed-field source localization based on robust matrix propagator and reduced-degree polynomial rooting,” Signal Processing, vol. 208, 108988, July 2023.
  4. C. Cheng, S. Liu, H. Wu, and Y. Zhang, “An Efficient Maximum-Likelihood-Like Algorithm for Near-Field Coherent Source Localization,” IEEE Transactions on Antennas and Propagation, vol. 70, no. 7, pp. 6111-6116, July 2022.
  5. L. Chen, A. Ermis, F. Meng, and Y. Zhang, “Meta-learning of Personalized Thermal Comfort Model and Fast Identification of the Best Personalized Thermal Environmental Conditions,” Building and Environment, vol. 235, May 2023, 110201.
  6. L. Chen, F. Meng, and Y. Zhang, “An HVAC Control Approach via Combining Model-based Deep Reinforcement Learning and Model Predictive Control,” IEEE Internet of Things Journal, DOI: 10.1109/JIOT.2022.3164023, March 2022.
  7. T. Shin, H. Sun, J. Zhu, and Y. Zhang, “Nondestructive damage detection of concrete with alkali-silica reactions using coda wave and anomaly detection,” IEEE Sensors Journal, vol. 22, no. 6, pp. 6124-6135, March 2022.
  8. L. Chen and Y. Zhang, “Accelerated distributed model predictive control for HVAC systems,” Control Engineering Practice, vol. 110, Article No. 104782, May 2021.
  9. Z. Xia, Md. M. H. Shandhi, Y. Li, O. Inan and Y. Zhang, “The Delineation of Fiducial Points for Non-contact Radar Seismocardiogram Signals without Concurrent ECG,” IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 4, pp. 1031-1040, April 2021.
  10. G. Sun, Y. Liu, Z. Chen, A. Wang, Y. Zhang, D. Tian and V. Leung, “Energy Efficient Collaborative Beamforming for Reducing Sidelobe in Wireless Sensor Networks” IEEE Transactions on Mobile Computing, vol. 20, no. 3, pp. 965-982, March 2021.
  11. R. Chai and Y. Zhang, “Online Thermal Effect Modeling and Prediction of Implantable Devices,” IEEE Sensors Journal (Featured Article), vol. 21, no. 3, pp. 2443-2453, February 2021.
  12. C. Cheng, S. Liu and Y. Zhang, “Robust and low-complexity time-reversal subspace decomposition methods for acoustic emission imaging and localization,” IEEE Sensors Journal, vol. 21, no. 3, pp. 3486-3496, February 2021.
  13. A. Ermis, Y. Lai and Y. Zhang, “Online Predictive Modeling of the Thermal Effect of Bio-Implants with Spatially Distributed Parameters,” IEEE Sensors Journal, vol. 21, no. 2, pp. 2013-2023, January 2021.
  14. S. Liang, Z. Fang, G. Sun, Y. Liu, G. Qu, S. Jayaprakasam and Y. Zhang, “A joint optimization approach for distributed collaborative beamforming in mobile wireless sensor networks,” Ad Hoc Networks, vol. 106, Article No. 102216, September 2020.
  15. G. Sun, X. Zhao, G. Shen, Y. Liu, A. Wang, S. Jayaprakasam, Y. Zhang and V. Leung, “Improving performance of distributed collaborative beamforming in mobile wireless sensor networks: a multi-objective optimization method,” IEEE Internet of Things Journal, vol. 7, no. 8, pp. 6787-6801, August 2020.
  16. R. Chai, Y. Zhang, G. Sun and H. Li, “Self-aware power management for maintaining event detection probability of supercapacitor-powered cyber-physical systems,” ACM Transactions on Cyber-Physical Systems, vol. 4, no. 4, Article No. 42, pp. 1-19, July 2020.
  17. Y. Li, Z. Xia and Y. Zhang, “Standalone systolic profile detection of non-contact SCG signal with LSTM network,” IEEE Sensors Journal, vol. 20, no. 6, pp. 31230-3131, March 2020.
  18. S. Liang, Z. Fang, G. Sun, Y. Liu, G. Qu and Y. Zhang, “Sidelobe reductions of antenna arrays via an improved chicken swarm optimization approach,” IEEE Access, vol. 8, pp. 37664-37683, February 2020.
  19. C. Cheng, S. Liu, H. Wu and Y. Zhang, “Neural network based direct adaptive robust control of unknown MIMO nonlinear systems using state observer,” International Journal of Adaptive Control and Signal Processing, vol. 34, no. 1, pp.1-14, January 2020.
  20. H. Cui, X. Zhang, J. Zhang and Y. Zhang, “Nanomaterials-based gas sensors of SF6 decomposed species for evaluating the operation status of high-voltage insulation devices: a review,” High Voltage, vol. 4, no. 4, pp. 242-258, December 2019.
  21. C. Cheng, Y. Zhang, and S. Liu, “Neural observer-based adaptive prescribed performance control for uncertain nonlinear systems with input saturation,” Neurocomputing, vol. 370, pp. 94-103, December 2019.
  22. H. Cui, X. Zhang, Y. Li, D. Chen and Y. Zhang, “First-principles insight into Ni-doped InN monolayer as a noxious gases scavenger,” Applied Surface Science, vol. 494, pp. 859-866, November 2019.
  23. S. Liang, Z. Fang, G. Sun, Y. Liu, X. Zhao, G. Qu, Y. Zhang and V. Leung, “Joint Sidelobe Suppression Approach for Collaborative Beamforming in Wireless Sensor Networks,” IEEE Access, vol. 7, pp. 151803-151817, October 2019.
  24. Z. Zhang, Z. Tian, Y. Zhang, M. Zhou and B. Wang, “u-DeepHand: FMCW Radar based Unsupervised Hand Gesture Feature Learning using Deep Convolutional Auto-Encoder Network,” IEEE Sensors Journal, vol. 19, no. 16, pp.6811-6821, August 2019.
  25. H. Cui, T. Liu, Y. Zhang and X. Zhang, “Ru-InN monolayer as a gas scavenger to guard the operation status of SF6 insulation devices: A first-principles theory,” IEEE Sensors Journal, vol. 19, no. 13, pp. 5249-5255, July 2019.
  26. H. Cui, D. Chen, Y. Zhang and X. Zhang, “Dissolved gas analysis in transformer oil using Pd catalyst decorated MoSe2 monolayer: A first-principles theory,” Sustainable Materials and Technologies, vol. 20, pp. e00094, July 2019.
  27. Q. Ju, G. Sun, H. Li and Y. Zhang, “Collaborative In-network processing for Internet of Battery-less Things,” IEEE Internet of Things Journal, vol. 6, no. 3, pp. 5184-5195, June 2019.
  28. D. Chen, X. Zhang, H. Cui, J. Tang, S. Pi, Z. Cui, Y. Li and Y. Zhang, “High selectivity n-type InSe monolayer toward decomposition products of sulfur hexafluoride: A density functional theory study,” Applied Surface Science, vol. 479, pp. 852-862, June 2019.
  29. H. Cui, D. Chen, C. Yan, Y. Zhang and X. Zhang, “Repairing the N-vacancy in an InN monolayer using NO molecules: a first-principles study,” Nanoscale Advances, vol. 1, no. 5, pp. 2003-2008, May 2019.
  30. R. Chai and Y. Zhang, “Adaptive Thermal Management of Bioimplants,” IEEE Sensors Journal, vol. 19, no. 3, pp. 1176-1185, February 2019.
  31. M. Yang, A. Wang, G. Sun and Y. Zhang, “Deploying charging nodes in wireless rechargeable sensor network based on improved firefly algorithm,” Computers and Electrical Engineering, vol. 72, pp. 719-731, November 2018.
  32. G. Sun, Y. Liu, H. Li, A. Wang, S. Liang and Y. Zhang, “A Novel Connectivity and Coverage Algorithm Based on Shortest Path for Wireless Sensor Networks,” Computers and Electrical Engineering, vol. 71, pp. 1025-1039, October 2018.
  33. G. Sun, Y. Liu, H. Li, J. Li, A. Wang and Y. Zhang, “Power Pattern Synthesis for Energy Beamforming in Wireless Power Transmission,” Neural Computing and Applications, vol. 30, no. 7, pp. 2327-2342,  October 2018.
  34. L. Jin, W. Chen, and Y. Zhang, “Application of Graphene Hybrid Materials in Fault Characteristic Gas Detection of Oil-Immersed Equipment” Frontiers in Chemistry, vol. 6, Article No. 399, pp. 1-8, September 2018.
  35. G. Sun, Y. Liu, Z. Chen, S. Liang, A. Wang, and Y. Zhang, “Radiation Beam Pattern Synthesis of Concentric Circular Antenna Arrays Using Hybrid Approach Based on Cuckoo Search,” IEEE Transaction on Antennas and Propagation, vol. 66, no. 9, pp. 4563-4576, September 2018.
  36. Z. Xia, Md. M.H. Shandhi, O. T. Inan, and Y. Zhang, “Non-Contact Sensing of Seismocardiogram Signals Using Microwave Doppler Radar,” IEEE Sensors Journal, vol. 18, no. 14, pp. 5956-5964, July 2018.
  37. J. Gu, M. Gu, X. Lu and Y. Zhang, “Asymptotically optimal policy for stochastic job shop scheduling problem to minimize makespan” Journal of Combinatorial Optimization, vol. 36, no. 1, pp.142-161, July 2018.
  38. P. Shi, D. Yuan, D. Han, Y. Zhang and R. Fu, “Stochastic Resonance in a Time-delayed Feedback Tristable System and Its Application in Fault Diagnosis,” Journal of Sound and Vibration, vol. 424, pp.1-14, June 2018.
  39. Q. Ju, H. Li and Y. Zhang, “Power Management for Kinetic Energy Harvesting IoT,” IEEE Sensors Journal, vol. 18, no. 10, pp. 4336-4345, May 2018.
  40. G. Sun, Y. Liu, R. Chai, F. Mei and Y. Zhang, “Online Model Parameter Identification for Supercapacitor Based on Weighting Bat Algorithm,” International Journal of Electronics and Communications, vol. 87, pp.113-118, April 2018.
  41. G. Sun, Y. Liu, S. Liang, Z. Chen, A. Wang, Q. Ju and Y. Zhang, “A Sidelobe and Energy Optimization Array Node Selection Algorithm for Collaborative Beamforming in Wireless Sensor Networks,” IEEE Access, vol. 6, pp. 2169-3536, February 2018.
  42. Q. Ju and Y. Zhang, “Predictive Power Management for Internet of Battery-less Things,” IEEE Transactions on Power Electronics, vol. 33, no. 1, pp. 299-312, January 2018.
  43. D. Han, S. An, P. Shi and Y. Zhang, “A New Weak Fault Diagnosis Method Based on Multi-scale Wavelet Noise Tuning Cascaded Multi-stable Stochastic Resonance,” Journal of Vibroengineering, vol. 20, no. 1, pp. 258-271, January 2018.
  44. Q. Ju and Y. Zhang, “Clustered Data Collection for Internet of Battery-less Things,” IEEE Internet of Things Journal, vol. 4, no. 6, pp. 2275-2285, December 2017.
  45. J. Huang, Y. Ma, Y. Zhang and F. Fan, “An Infrared Image Enhancement Algorithm based on Adaptive Histogram Segmentation,” Applied Optics, vol. 56, no. 35, pp. 9686-9697, December 2017.
  46. P. Shi, K. Liang; D. Han and Y. Zhang, “A novel intelligent fault diagnosis method of rotating machinery based on deep learning and PSOSVM,” Journal of Vibroengineering, vol. 19, no. 8, pp. 5932-5946, December 2017.
  47. G. Sun, Y. Liu, M. Yang, S. Liang, A. Wang and Y. Zhang, “Beam Pattern Design of Circular Antenna Array via Efficient Biogeography-based Optimization,” International Journal of Electronics and Communications, vol. 79, pp. 275-285, September 2017.
  48. D. Han, S. Wei, P. Shi, Y. Zhang, K. Gao and N. Tian, “Damage Identification of a Derrick Steel Structure Based on the HHT Marginal Spectrum Amplitude Curvature Difference,” Shock and Vibration, vol. 2017, Article No. 1062949, August 2017.
  49. G. Sun, Y. Liu, J. Li, Y. Zhang and A. Wang, “Sidelobe reduction of large scale antenna array for 5G beamforming via hierarchical cuckoo search,” Electronics Letters, vol. 53, no. 16, pp. 1158-1160, August 2017.
  50. X. Zhang, Y. Ma, F. Fan, Y. Zhang and J. Huang, “Infrared and Visible Image Fusion via Saliency Analysis and Local Edge-Preserving Multi-Scale Decomposition,” Journal of the Optical Society of America A (Editor’s Pick), vol. 34, no. 8, pp. 1400-1410, August 2017.
  51. G. Sun, Y. Liu, M. Yang, A. Wang, S. Liang and Y. Zhang, “Coverage Optimization of VLC in Smart Homes based on Improved Cuckoo Search Algorithm,” Computer Networks, vol. 116, no. 7, pp. 63-78, April 2017.
  52. R. Chai, H. Ying and Y. Zhang, “Supercapacitor Charge Redistribution Analysis for Power Management of Wireless Sensor Networks,” IET Power Electronics, vol. 10, no. 2, pp. 169-177, February 2017.
  53. X. Ding, H. Li, K. Zhu and Y. Zhang, “A Force Rebalanced Micro-Gyroscope Driven by Voltages Oscillating at Half of Structure’s Resonant Frequency,” IEEE Sensors Journal, vol. 16, no. 24, pp. 8897 – 8907, December 2016.
  54. M. Gu, X. Lu, J. Gu and Y. Zhang , “Single-machine Scheduling Problems with Machine Aging Effect and an Optional Maintenance Activity,” Applied Mathematical Modelling, vol. 40, no. 21-22, pp. 8862-8871, November 2016.
  55. Z. Xia and Y. Zhang, “Dual-Carrier Non-Contact Vital Sign Detection with a Noise Suppression Scheme Based on Phase Locked Loop,” IEEE Transactions on Microwave Theory and Techniques, vol. 64, no. 11, pp. 4003-4011, November 2016.
  56. X. Zhang, Y. Gui, Y. Zhang, Y. Qiu and L. Chen, “Influence of Humidity and Voltage on Characteristic Decomposition Components under needle-plate Discharge Model,” IEEE Transactions on Dielectrics and Electrical Insulation, vol. 23, no. 5, pp. 2633-2640, October 2016.
  57. X. Zhang, Y. Gui, H. Xiao and Y. Zhang, “Analysis of Adsorption Properties of Typical Partial Discharge Gases on Ni-SWCNTs Using Density Functional Theory,” Applied Surface Science, vol. 379, pp. 47-54, August 2016.
  58. Y. Gui, X. Zhang, Y. Zhang, Y. Qiu and L. Chen, “Study on the Characteristic Decomposition Components of Air-insulated Switchgear Cabinet under Partial Discharge,” AIP Advances, vol. 6, no. 7, id. 7075106, July 2016.
  59. H. Yang and Y. Zhang, “A Task Scheduling Algorithm Based on Supercapacitor Charge Redistribution and Energy Harvesting for Wireless Sensor Nodes,” Journal of Energy Storage, vol. 6, pp. 186-194, May 2016.
  60. F. Liu, Y. Zhang, L. Zhang, L. Geng, Y. Wang, N. Ni and J. Zhou, “Analysis, Experiment and Correlation of a Petal-Shaped Actuator Based on Dielectric Elastomer Minimum Energy Structures,” Applied Physics A, vol. 122, no. 323, Article: 4, April 2016.
  61. Q. Ju and Y. Zhang, “Charge Redistribution-aware Power Management for Supercapacitor-operated Wireless Sensor Networks,” IEEE Sensors Journal, vol. 16, no. 7, pp. 2046-2054, April 2016.
  62. H. Yang and Y. Zhang, “Characterization of Supercapacitor Models for Analyzing Supercapacitors Connected to Constant Power Elements,” Journal of Power Sources, vol. 312, pp.165-171, April 2016.
  63. J. Sun, Q. Xiao, J. Wen and Y. Zhang, “Natural Gas Pipeline Leak Aperture Identification and Location Based on Local Mean Decomposition Analysis,” Measurement, vol. 79, pp. 147-157, February 2016.
  64. J. Sun, Q. Xiao, J. Wen and Y. Zhang, “Natural Gas Leak Location with K-L Divergence-Based Adaptive Selection of ELMD Components and High-Order Ambiguity Function,” Journal of Sound and Vibration, vol. 347, pp. 232-245, July 2015.
  65. X. Wei and Y. Zhang, "Interference Removal for Autofocusing of GPR Data from RC Bridge Decks," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 3, pp. 1145-1151, March 2015.
  66. R. Chai and Y. Zhang, "A Practical Supercapacitor Model for Power Management in Energy Harvesting Wireless Sensor Nodes," IEEE Transactions on Power Electronics, vol. 30, no. 12, pp. 6720-6730, 2015.
  67. H. Yang and Y. Zhang, "Estimation of Supercapacitor Energy Using a Linear Capacitance for Applications in Wireless Sensor Networks," Journal of Power Sources, vol. 275, pp. 498-505, February 2015.
  68. H. Yang and Y. Zhang, "A Study of Supercapacitor Charge Redistribution for Applications in Environmentally Powered Wireless Sensor Nodes," Journal of Power Sources, vol. 273, pp. 223-236, January 2015.
  69. X. Wei and Y. Zhang, "Autofocusing Techniques for GPR Data from RC Bridge Decks," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 12, pp. 4860-4868, December 2014.
  70. H. Yang and Y. Zhang, "Analysis of Supercapacitor Energy Loss for Power Management in Environmentally Powered Wireless Sensor Nodes," IEEE Transactions on Power Electronics, vol. 28, no. 11, pp. 5391-5403, November 2013.
  71. Z. Xie, Y. Zhang and H. F. Wu, "Automated Data Fusion and Visualization for Impact-Echo Testing of Concrete Structures," IEEE Sensors Journal, vol. 12, no. 12, pp. 3446-3453, December 2012.
  72. Y. Zhang and A.M. Agogino, "Interactive Hybrid Evolutionary Computation for MEMS Design Synthesis," Mathematics and Computers in Simulation, vol. 86, pp. 32-38, December 2012.
  73. Y. Zhang and Z. Xie, "Ensemble Empirical Mode Decomposition of Impact-echo Data for Testing Concrete Structures," NDT&E International, vol. 51, pp. 74-84, October 2012.
  74. Y. Zhang, X. Wei, Y. Tsai, J. Zhu, F. Fetrat and N. Gucunski, "Multisensor Data Fusion for Impact-Echo Testing of Concrete Structures," Smart Materials and Structures, vol. 21, no. 7, 075021, June 2012.
  75. Y. Zhang and B. Zhu, "Analysis and Simulation of Multi-mode Piezoelectric Energy Harvesters," Smart Structures and Systems, vol. 9, no. 6, pp. 549-563, June 2012.
  76. Y. Zhang and A.M. Agogino, "Hybrid Evolutionary Optimal MEMS Design," International Journal of Advanced Manufacturing Technology, vol. 63, pp. 305-317, January 2012.
  77. H. Yang and Y. Zhang, "Self-discharge Analysis and Characterization of Supercapacitors for Environmentally Powered Wireless Sensor Network Applications," Journal of Power Sources, vol. 196, no. 20, pp. 8866-8873, October 2011.
  78. Y. Zhang and H. Yang, "Modeling and Characterization of Supercapacitors for Wireless Sensor Network Applications," Journal of Power Sources, vol. 196, no. 8, pp. 4128-4135, April 2011.
  79. Y. Zhang and A.M. Agogino, "Hierarchical Component-Based Representations for Evolving Microelectromechanical Systems Designs," Artificial Intelligence for Engineering Design, Analysis and Manufacturing (AIEDAM Journal), vol. 25, no. 1, pp. 41-55, February 2011.

 

Selected Conference Proceedings

   
  1. M. Beaulieu, A. Candocia, H. Taboh, L. Chen and Y. Zhang, "Feature Importance Analysis For A Personalized Thermal Comfort Model Using Meta-learning," 2023 IEEE International Opportunity Research Scholars Symposium (ORSS), Atlanta, GA, USA, 2023, pp. 24-28, doi: 10.1109/ORSS58323.2023.10161792.
  2. A. Ermis, Y.-P. Lai, and Y. Zhang, “Nonlinear Model Predictive Control for Thermal Management of Bio-Implants,” in Proc. of the 2022 American Control Conference (ACC), 2022, pp. 2817-2822, Atlanta, GA, USA, June 8-10, 2022.
  3. C. Qi, F. Amato, Y. Guo, Y. Zhang and G. Durgin, “A Backscatter Channel Sounder Using Tunneling RFID Tags,” in Proc. of the15th Annual IEEE International Conference on RFID (RFID 2021), Atlanta, Georgia, USA, April 27-29, 2021.
  4. J. Li, H. Kang, G. Sun, S. Liang, Y. Liu and Y. Zhang, “Physical Layer Secure Communications Based on Collaborative Beamforming for UAV Networks: A Multi-objective Optimization Approach,” in Proc. of the IEEE International Conference on Computer Communications (INFOCOM 2021), Vancouver, Canada, May 10-13, 2021.
  5. A. Ermis, M. Zhou, Y.-P. Lai, and Y. Zhang, “A Performance Comparison of LSTM and Recursive SID Methods in Thermal Modeling of Implantable Medical Devices,” in Proc. of the 2020 IEEE Conference on Control Technology and Applications (CCTA), Montréal, Canada, August 24-26, 2020.
  6. A. Ermis, Y.-P. Lai, X. Pan, R. Chai and Y. Zhang, “Recursive Subspace Identification for Online Thermal Management of Implantable Devices,” in Proc. of the 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, Illinois, USA, September 24-27, 2019.
  7. G. Sun, X. Zhao, S. Liang, Y. Liu, X. Zhou, Q. Ju and Y. Zhang, “A modified chicken swarm optimization algorithm for synthesizing linear, circular and random antenna arrays,” in Proc. of the IEEE 90th Vehicular Technology Conference: VTC2019-Fall, Honolulu, Hawaii, USA, September 22-25, 2019.
  8. G. Sun, X. Zhao, S. Liang, Y. Liu, Y. Zhang and V. C. M. Leung, “A hybrid optimization approach for suppressing sidelobe level and reducing transmission power in collaborative beamforming,” in Proc. of the IEEE 90th Vehicular Technology Conference: VTC2019-Fall, Honolulu, Hawaii, USA, September 22-25, 2019.
  9. T. Shin, V. Soltangharaei, P. Ziehl and Y. Zhang, “Prediction of volumetric strain in concrete due to ASR reactions using acoustic emission technique and artificial neural network,” in Proc. of the 12th International Workshop on Structural Health Monitoring, Stanford, CA, USA, September 10-12, 2019.
  10. R. Chai, Y.-P. Lai, W. Sun, M. Ghovanloo and Y. Zhang, “Online Predictive Modeling for the Thermal Effect of Implantable Devices,” in Proc. of the 2018 IEEE Biomedical Circuits and Systems Conference (BIOCAS 2018), Cleveland, Ohio, USA, October 17-19, 2018.
  11. Q. Ju, G. Sun, H. Li and Y. Zhang, “Latency-aware In-network Computing for Internet of Battery-less Things,” in Proc. of the IEEE 88th Vehicular Technology Conference: VTC2018-Fall, Chicago, USA, August 27-30, 2018.
  12. G. Sun, Y. Liu, Z. Chen, S. Liang, Q. Ju and Y. Zhang, “Sparse Synthesis of Concentric Circular Antenna Array via Multi-objective Evolutionary Computation,” in Proc. of the IEEE 88th Vehicular Technology Conference: VTC2018-Fall, Chicago, USA, August 27-30, 2018.
  13. R. Chai and Y. Zhang, “Power Management for Controlling Event Detection Probability of Supercapacitor Powered Sensor Networks,” in Proc. of the 2018 American Control Conference (ACC 2018), Milwaukee, Wisconsin, June 27-29, 2018.
  14. G. Sun, Y. Liu, G. Shen, A. Wang, Y. Zhang and V. Leung, “Multi-objective Optimization for Distributed Collaborative Beamforming in Mobile Wireless Sensor Networks,” in Proc. of the IEEE Symposium on Computers and Communications (ISCC 2018), Natal, Brazil, June 25-28, 2018.
  15. G. Sun, Y. Liu, M. Yang, J. Li, A. Wang and Y. Zhang, “Charging Nodes Deployment Optimization in Wireless Rechargeable Sensor Network Based on Improved Firefly Algorithm,” in Proc. of the IEEE GLOBECOM 2017, Singapore, December 4-8, 2017.
  16. Q. Ju, H. Li and Y. Zhang, “Towards Human-powered IoT: Optimizing Harvested Power from Human Daily Motion,” in Proc. of the 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON), New York City, New York, October 19-21, 2017.
  17. Z. Xia, Md. M. H. Shandhi, O. T. Inan and Y. Zhang, “Interference and Removal of Respiration Harmonics on Noncontact Seismocardiogram Signals,” in Proc. of the 11th International Workshop on Structural Health Monitoring, Stanford, CA, September 12-14, 2017.
  18. Md. M. H. Shandhi, Z. Xia, O. T. Inan and Y. Zhang, “Clutter Effect on the Noncontact Seismocardiogram Signals Measured Using Microwave Radars,” in Proc. of the 11th International Workshop on Structural Health Monitoring, Stanford, CA, September 12-14, 2017.
  19. R. Chai and Y. Zhang, “Recursive Multi-step Prediction of Bioimplants Thermal Effect,” in Proc. of the 11th International Workshop on Structural Health Monitoring, Stanford, CA, September 12-14, 2017.
  20. Q. Ju and Y. Zhang, “Adaptive Clustering for Internet of Battery-less Things,” in Proc. of the IEEE Wireless Communications and Networking Conference, San Francisco, CA, March 19-22, 2017.
  21. G. Sun, Y. Liu, Z. Chen, Y. Zhang, A. Wang and S. Liang, “Thinning of Concentric Circular Antenna Arrays Using Improved Discrete Cuckoo Search Algorithm,” in Proc. of the IEEE Wireless Communications and Networking Conference, San Francisco, CA, March 19-22, 2017.
  22. Z. Xia, A. M. Carek, O. T. Inan and Y. Zhang, “Comparison of noncontact and accelerometer based cardiogenic chest wall movement signals: a preliminary study,” in The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, FL, August 16-20, 2016.
  23. Z. Xia and Y. Zhang, “Bandwidth of a Noise Suppression Phase Locked Loop for Non-Contact Vital Sign Detection,” in Proc. of SPIE Smart Structures/NDE – Nano-, Bio-, Info-Tech Sensors and Systems, vol. 9802, p 980215, Las Vegas, NV, March 20-24, 2016.
  24. R. Chai, Y. Zhang and M. Ghovanloo, “Joint Power and Thermal Management for Implantable Devices,” Biomedical Circuits and Systems Conference (BioCAS 2015), pp. 65-68, Atlanta, GA, 2015.
  25. X. Wei, J. Zhou and Y. Zhang, “Modified Compressive Sensing-Based Migration for GPR Probing of Reinforced Concrete Bridge Decks,” in Proc. of the 10th International Workshop on Structural Health Monitoring, Paper # 1197, Stanford, CA, 2015.
  26. Q. Ju, S. Chen and Y. Zhang, “Benchmarking RenderScript: Potential for Energy Efficient Multi-Core Mobile Networks,” in Proc. of Smart Wireless Access Networks for Smart City (SWANSITY), Seattle, Washington, June 2015.
  27. Q. Ju and Y. Zhang, "Reducing Charge Redistribution Loss for Supercapacitor-Operated Energy Harvesting Wireless Sensor Nodes," in Proc. of the 2nd International Workshop on Energy Neutral Sensing Systems (ENSSys) 2014, November 6, 2014, Memphis, TN, USA.
  28. X. Wei and Y. Zhang, "Hyperbolic Signature Extraction of Deeper Rebar Layer in Concrete Bridge Decks Using GPR," in Proc. of the 8th International Workshop on Structural Health Monitoring, 2013, Stanford, CA, pp.2578-2585.
  29. X. Wei, Y. Zhang and H.F. Wu, "Preliminary Study of Matching Pursuit for Extracting GPR Rebar Reflections," in Proc. of SPIE – Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure and Homeland Security, vol. 8694, p 86940L, 2013.
  30. X. Wei, Z. Xie and Y. Zhang, "An Investigation on the Detectability of Deeper Rebar Layer in Concrete Bridge Decks Using GPR," in Proc. of the ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS2012), 2012, SMASIS2012-8154.
  31. Z. Xie, X. Wei and Y. Zhang, "Automatic Extraction of Hyperbolic Signatures in Ground Penetrating Radar Images," in Proc. of the ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS2012), 2012, SMASIS2012-8153.
  32. X. Wei, Z. Xie and Y. Zhang, "Multisensor Data Fusion and Visualization for Impact Echo Testing of Bridge Decks," in Proc. of SPIE – Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure and Homeland Security, vol. 8347, p 834706, 2012.
  33. H. Yang and Y. Zhang, "Modeling and Analysis of a Solar Powered Wireless Sensor Node," in Proc. of the International Conference on Computing, Networking & Communications (ICNC), 2012, pp.970-974.
  34. H. Yang and Y. Zhang, "Evaluation of Supercapacitor Models for Wireless Sensor Network Applications," in Proc. of the 5th International Conference on Signal Processing and Communications Systems (ICSPCS), 2011, pp.1-6.
  35. Z. Xie, X. Wei and Y. Zhang, "Impact Echo Signal Interpretation Using Ensemble Empirical Mode Decomposition," in Proc. of the 8th International Workshop on Structural Health Monitoring, 2011, Stanford, CA, pp.989-996.
  36. Y. Zhang, X. Wei and Z. Xie, "Multisensor Data Fusion for Nondestructive Evaluation of Bridge Decks," in Proc. of SPIE – Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure and Homeland Security, vol. 7983, p 798309, 2011.
  37. H. Yang and Y. Zhang, "An Equivalent Circuit Model of Supercapacitors for Applications in Wireless Sensor Networks," in Proc. of SPIE – Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, vol. 7981, p 79810D, 2011.
  38. Y. Zhang, Z. Xie, D.J. Parris and R.A. Cohen, "Analysis of Short-term Estuarine Phytoplankton Dynamics using Neural Networks," in Proc. of the 8th International Conference on Fuzzy Systems and Knowledge Discovery, 2011, pp.753-757.
  39. H. Yang and Y. Zhang, "Modeling and Analysis of Hybrid Energy Storage Systems for Wireless Sensor Networks," in Proc. of SPIE – Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring, vol. 7647, p 76472U, 2010.
  40. Y. Zhang, "Theoretical Analysis of Multi-mode Piezoelectric Vibration Energy Harvesters," in Proc. of the 7th International Workshop on Structural Health Monitoring, 2009, Stanford, CA, pp.1782-1789.
  41. A. Kailas, M.A. Ingram, and Y. Zhang, "A Novel Routing Metric for Environmentally-Powered Sensors with Hybrid Energy Storage Systems," in Proc. of the 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace and Electronic Systems Technology ( Wireless VITAE), 2009, pp.42-46.
  42. Y. Zhang and W. He, "Multi-mode Piezoelectric Energy Harvesters for Wireless Sensor Network Based Structural Health Monitoring," in Proc. of SPIE – 15th Annual International Symposium on Smart Structures and Materials, 2008, vol. 6934, #69340Z.
  43. C. Cobb, Y. Zhang, A.M. Agogino and J. Mangold, "Case-Based Reasoning and Object-Oriented Data Structures Exploit Biological Analogs to Generate Virtual Evolutionary Linkages," in Proc. of IEEE Congress on Evolutionary Computation, 2007, pp.334-341.
  44. C.L. Cobb, Y. Zhang and A.M. Agogino, "MEMS Design Synthesis: Integrating Case-based Reasoning and Multi-objective Genetic Algorithms," in Proc. of SPIE: Smart Materials, Nano- and Micro-Smart Systems, 2006, vol. 6414, #641419. (Invited Paper)
  45. Y. Zhang, A.M. Agogino and C.H. Séquin, "Design Synthesis of Microelectromechanical Systems Using Genetic Algorithms with Component-Based Genotype Representation," in Proc. of GECCO (Genetic and Evolutionary Computation Conference), 2006, vol. 1, pp.731-738.
  46. R. Kamalian, E. Yeh, Y. Zhang, A.M. Agogino, and H. Takagi, "Reducing Human Fatigue in Interactive Evolutionary Computation through Fuzzy Systems and Machine Learning Systems," in Proc. of IEEE International Conference on Fuzzy Systems 2006, pp.3295-3301.
  47. Y. Zhang, R. Kamalian, A.M. Agogino and C.H. Séquin, "Hierarchical MEMS Synthesis and Optimization," in Proc. of SPIE – 12th Annual International Symposium on Smart Structures and Materials: Smart Electronics, MEMS, BioMEMS, and Nanotechnology, 2005, pp.96-106.
  48. R. Kamalian, Y. Zhang and A.M. Agogino, "Micro Fabrication and Characterization of Evolutionary MEMS Resonators," in Proc. of the International Symposium on Micro-NanoMechatronics and Human Science, 2005, pp.109-114.
  49. R. Kamalian, Y. Zhang, H. Takagi and A.M. Agogino, "Reduced Fatigue Interactive Evolutionary Computation for Micro-Machine Design," in Proc. of the Fourth International Conference on Machine Learning and Cybernetics (ICMLC), 2005, pp.5666-5671.
  50. Y. Zhang, G.M. Lloyd and M.L. Wang, "Random Vibration Response Testing of PVDF Gages for Long-span Bridge Monitoring," in Proc. of the Fourth International Workshop on Structural Health Monitoring, 2003, pp.115-122.
  51. G. Lloyd, Y. Zhang, P. Fabo and M.L. Wang, "Hybrid Frequency Response Characteristics of a Low-Frequency Charge-Mode PVDF Curvature Sensor Measured with a Random Vibration Method," in Proc. of IMECE (The ASME International Mechanical Engineering Congress Exposition), 2001, pp.25-33.
  52. G. Lloyd, Y. Zhang, P. Fabo and M.L. Wang, "Design and Testing of a Charge Mode PVDF Displacement Sensor for Low Frequency Infrastructure Monitoring," In Proc. of SPIE – 8th Annual International Symposium on Smart Structures and Material: Smart Systems for Bridges, Structures, and Highways, 2001, pp.46-55.

 

Book Chapters
   
  1. H. Yang and Y. Zhang, “Power Management in Supercapacitor-Based Wireless Sensor Nodes,” Supercapacitor Design and Application, ISBN 978-953-51-2749-9, InTech – open science | open minds, 2016, pp. 165-179.
  2. Y. Zhang, C. Li, Z. Xie and Y. Zhang, “A Modeling Method of State Prediction for Algae Growth in Coastal Water,” Lecture Notes in Electrical Engineering 155: Advances in Electric and Electronics, Springer Berlin Heidelbert, 2012, pp.155-162.
  3. Y. Zhang and A.M. Agogino, "Interactive Hybrid Evolutionary Computation for MEMS Design Synthesis," Lecture Notes in Electrical Engineering 67: Advances in Neural Network Research and Applications, Springer Berlin Heidelberg, 2010, pp.211-218.
  4. C. Cobb, Y. Zhang, A.M. Agogino and J. Mangold, "Knowledge-Based Evolutionary Linkage in MEMS Design Synthesis," Book Chapter in Linkage in Evolutionary Computation (Ying-ping Chen; Meng-Hiot Lim (Eds.)), Studies in Computational Intelligence, Springer Berlin, Heidelberg, 2008, vol.157, pp.461-483.
  5. R. Kamalian, Y. Zhang, H. Takagi, and A.M. Agogino, “Evolutionary Synthesis of Micromachines Using Supervisory Multiobjective Interactive Evolutionary Computation,” Lecture Notes in Artificial Intelligence 3930: Advances in Machine Learning and Cybernetics, Springer Verlag, Berlin, 2006, pp.428-437.
 

 

 

 

 

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