Publication

Journal Publication

1.  P. Zhang, L. Gan, "Selection of Gaussian Process Parameters for Renewable and Load Forecasting". Submitted to IET Smart Grid

2. L. K. Gan, P. Zhang, J. Lee, M. Osborne and D. Howey, "Data-driven energy management system with Gaussian process forecasting and MPC for interconnected microgrids," Accepted by IEEE Transactions on Sustainable Energy, doi: 10.1109/TSTE.2020.3017224. [preprint]

3. P. Zhang, H.-P. Tan, and G. Xiao. "Distributed Algorithms for Maximizing Lifetime in Clustered Wireless Sensor Networks Using Energy-Harvesting Relay Nodes". Journal of Electronic Research and Applications, vol. 2, no. 4, Dec. 2018. [preprint]

4. Y.-B., Chen, I. Nevat, P. Zhang, S. G. Nagarajan, and H.-Y. Wei, "Query-based Sensors Selection for Collaborative Wireless Sensor Networks with Stochastic Energy Harvesting." Accepted by IEEE Internet of Things Journal. (impact factor: 7.596) [preprint]

5. J. Lee, P. Zhang, L. Gan, D. Howey, M. A. Osborne, and S. Duncan. "Optimal operation of an Energy Management System using Model Predictive Control and Gaussian Process Time-series Modelling". in IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 6, no. 4, pp. 1783-1795, Dec. 2018. (impact factor: 4.269) [preprint]

6. P. Zhang, I. Nevat, G. W. Peters, F. Septier and M. A. Osborne, "Spatial Field Reconstruction and Sensor Selection in Heterogeneous Sensor Networks With Stochastic Energy Harvesting," in IEEE Transactions on Signal Processing, vol. 66, no. 9, pp. 2245-2257, May1, 1 2018. (impact factor: 4.3) [preprint]

7. I. Nevat, D. M. Divakaran, S. G. Nagarajan, P. Zhang, L. Su, L. L. Ko, and  V. L. Thing,  "Anomaly Detection and Attribution in Networks With Temporally Correlated Traffic". IEEE/ACM Transactions on Networking. vol. PP, no. 99, pp. 1-14, Dec. 2017. (impact factor: 3.376) [preprint]

8. P. Zhang, S. G. Nagarajan and I. Nevat, "Secure Location of Things (SLOT): Mitigating Localization Spoofing Attacks in the Internet of Things," in IEEE Internet of Things Journal, vol. 4, no. 6, pp. 2199-2206, Dec. 2017. (impact factor: 7.596) [preprint]

9. I. Nevat, P. Zhang*, G. Frenkel and G. W. Peters, "Parameter Estimation in Sensor Networks Under Probabilistic Censoring," in IEEE Transactions on Signal Processing, vol. 65, no. 15, pp. 4047-4058, Aug.1, 1 2017. (impact factor: 4.3) [preprint]

10. S. G. Nagarajan, P. Zhang and I. Nevat, "Geo-Spatial Location Estimation for Internet of Things (IoT) Networks With One-Way Time-of-Arrival via Stochastic Censoring," in IEEE Internet of Things Journal, vol. 4, no. 1, pp. 205-214, Feb. 2017. (impact factor: 7.596). [preprint]

11. P. Zhang, I. Nevat, G. W. Peters and L. Clavier, "Event Detection in Sensor Networks With Non-Linear Amplifiers via Mixture Series Expansion," in IEEE Sensors Journal, vol. 16, no. 18, pp. 6939-6946, Sept.15, 2016. (impact factor: 2.512). [preprint]

12. R. Chan, P. Zhang*, I. Nevat, S. G. Nagarajan, A. Valera, H.-X Tan, and N. Gautam, “Adaptive Duty Cycling in Sensor Networks with Energy Harvesting Using Continuous-Time Markov Chain and Fluid Models,” IEEE Journal on Selected Areas in Communications, vol. 33, no. 12, pp. 2687-2700, Dec. 2015. (Impact factor: 8.085). [preprint]

13. P. Zhang, I. Nevat, G. Peters, G. Xiao and H.-P. Tan,  “Event Detection in Wireless Sensor Networks in Random  Spatial Sensors Deployments,”  IEEE Transactions on Signal Processing, vol. 63, no. 22, pp. 6122-6135, Nov. 2015 (impact factor: 4.3). [preprint]

14. P. Zhang, G, Xiao, and H.-P. Tan, "Clustering Algorithms for Maximizing the Lifetime of Wireless Sensor Networks with Energy-Harvesting Sensors,” Computer Networks,  vol. 57, no. 14, pp. 2689-2704, Oct. 2013. [preprint] (impact factor: 2.594)

Conference Publication

1. P. Zhang and W. Fruehwirt, "Combining Gaussian Process Time Series Modeling and Model Predictive Control for Cryptocurrency Forecasting and Trading", Submitted to NeurIPS 2019 Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy. 

2. P. Zhang, G. W. Peters, I. Nevat, K. B. Teo, and Y. Wang, “Multimodal Data Fusion of Spatial Fields in Sensor Networks,” Accepted by IEEE Sensors 2019. 

3. P. Zhang, K. B. Teo, and Y. Wang, “Sensor Selection in Wireless Sensor Networks for Structural Health Monitoring,” Accepted by IEEE Sensors 2019. 

4. W. Fruehwirt, A. D. Cobb, M. Mairhofer, L. Weydemann, H. Garn, R. Schmidt, T. Benke, P. D.-Bianco, G. Ransmayr, M. Waser, D. Grossegger, P. Zhang, G. Dorffner and S. Roberts, “Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity,” in NIPS 2018 Workshop on Machine Learning for Health, Montreal, Cananda, Dec 2018. [preprint]

5. I. Nevat, S. G. Nagarajan, and P. Zhang. "Change Detection of a Subset of High-dimensional Time Series Data in Sensor Networks". 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), Porto, 2018, pp. 1-5.. [preprint]

6. J. Y. Koh and P. Zhang, “Localizing Wireless Jamming Attacks with Minimal Network Resources,” in Security, Privacy, and Anonymity in Computation, Communication, and Storage, Guangzhou, Guangdong, China, Dec 2017. [preprint]

7. W. Fruehwirt, M. Gerstgrasser, P. Zhang, L. Weydemann, M. Waser, R. Schmidt, T. Benke, P. D.-Bianco, G. Ransmayr, D. Grossegger, H. Garn, G. W. Peters, S. Roberts and G. Dorffner, “Riemannian tangent space mapping and elastic net regularization for cost-effective EEG markers of brain atrophy in Alzheimer’s disease,” in NIPS 2017 Workshop on Machine Learning for Health, Long Beach, Los Angeles, USA, Dec 2017. [preprint]

8. P. Zhang, I. Nevat, G. W. Peters, W. Fruehwirt, Y. Huang, I. Anders and M. A. Osborne, “Sensor Selection and Random Field Reconstruction for Robust and Cost-effective Heterogeneous Weather Sensor Networks for the Developing World.” in NIPS 2017 Workshop on Machine Learning for the Developing World, Long Beach, Los Angeles, USA, Dec 2017. [preprint]

9. Q. Xiang, J. Zhang, I. Nevat and P. Zhang, “A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing.” in IJCAI 2017, Melbourne, Australia Aug 2017. [preprint]

10. W. Fruehwirt, P. Zhang, M. Gerstgrasser, M. A. Osborne, D. Grossegger, R. Schmidt, T. Benke, P. Dal-Bianco, G. Ransmayr, L. Weydemann, H. Garn, M. Waser, S. Roberts, G. Dorffner, “Gaussian process classification from multivariate spatio-temporal brain potential patterns in Alzheimer’s disease.” in IJCAI 2017 BOOM Workshop, Melbourne, Australia Aug 2017. [preprint]

11. W. Fruehwirt, P. Zhang, M. Gerstgrasser, D. Grossegger, R. Schmidt, T. Benke, P. Dal-Bianco, G. Ransmayr, L. Weydemann, H. Garn, M. Waser, M. A. Osborne and G. Dorffner, “Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer’s Disease.” in AIME 2017: Artificial Intelligence in Medicine, Vienna, Austria, Jun 2017. [preprint]

12. J. Liu, I. Nevat, P. Zhang, and G. W. Peters, “Multimodal Data Fusion in Sensor Networks via Copula Processes,” in Wireless Communications and Networking Conference (WCNC), 2017 IEEE, San Francisco, CA, USA Mar 2017. [preprint]

13. Q. Xiang, I. Nevat, P. Zhang and J. Zhang, “Collusion-resistant Spatial Phenomena Crowdsourcing via Mixture of Gaussian Processes Regression,” in TRUST@ AAMAS, Singapore May 2016. [preprint]

14. R. Chan, P. Zhang, W. Zhang, I. Nevat, A. Valera, H.-X. Tan and N. Gautam, “Adaptive duty cycling in sensor networks via Continuous Time Markov Chain modelling,” in Communications (ICC), 2015 IEEE International Conference on, London, UK Jun 2015. [preprint]

15. P. Zhang, X. Ma, W. Zhang, S. Lin, H. Chen, A. Lee Y. and G. Xiao, “Multimodal fusion for sensor data using stacked autoencoders,” in Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2015 IEEE Tenth International Conference on, Singapore Apr 2015. [preprint]           

16. P. Zhang, H.-P. Tan, G. Xiao and Y. Yu, “Maximizing lifetime in clustered WSNs with energy harvesting relay: Profiling and modeling,” in Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2015 IEEE Tenth International Conference on, Singapore Apr 2015. [preprint]           

17. P. Zhang, G. Peters, I. Nevat, G. Xiao and H.-P. Tan, “Distributed event detection in sensor networks under random spatial deployment,” in Military Communications Conference (MILCOM), 2014 IEEE, Baltimore, MD, USA Oct 2014. [preprint]

18. P. Zhang, J. Y. Koh, S. Lin and I. Nevat, “Distributed event detection under byzantine attack in wireless sensor networks,” in Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014 IEEE Ninth International Conference on, Singapore Apr 2014. [preprint]

19. P. Zhang, G. Xiao and H.-P. Tan, “Distributed relay scheduling for maximizing lifetime in clustered wireless sensor networks,” in Communication Systems (ICCS), 2012 IEEE International Conference on, Singapore Nov 2012. [preprint]

20. P. Zhang, G. Xiao and H.-P. Tan, “A preliminary study on lifetime maximization in clustered wireless sensor networks with energy harvesting nodes,” in Information, Communications and Signal Processing (ICICS) 2011 8th International Conference on, Singapore Dec 2011. [preprint]