Botian Zhang

Botian Zhang received the B.E. degree in electrical engineering from Southeast University, Nanjing, China, in 2014 and the M.S. degree in electrical engineering from the University of California, Los Angeles (UCLA), Los Angeles, USA, in 2016. In 2013, he worked in the State Key Laboratory of Millimeter Waves at Southeast University, China, where he conducted research in dual-band GNSS antennas. In 2014, he received the state scholarship from the Ministry of Education, P.R.C, and studied at the Royal Institute of Technology, Sweden, where he did research on wireless sensor network systems. From 2014 to 2016, he worked in the Antenna Research, Analysis, and Measurement Laboratory in UCLA. He is also currently working as a full-time application engineer at CST.

His research interests include numerical EM methods, computational electromagnetics, antenna optimization and sensitivity analysis.

• L. Song, B. Zhang, D. Zhang and Y. Rahmat-Samii, "Embroidery Electro-Textile Patch Antenna Modeling and Optimization Strategies with Improved Accuracy and Efficiency," IEEE Transactions on Antennas and Propagation, vol. , no. , pp. , 2022.
• B. Zhang and Y. Rahmat-Samii, "Robust Optimization With Worst Case Sensitivity Analysis Applied to Array Synthesis and Antenna Designs," IEEE Transactions on Antennas and Propagation, vol. 66, no. 1, pp. 160-171, January 2018.

• J. Wang, B. Zhang, and Y. Rahmat-Samii, "Hexagonal Pixels Facilitating Topological Design of 2-bit 2- switch Phase-Reconfigurable Unit Cells," in 2023 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), Boulder, CO, USA, January 2023.
• B. Zhang, L. Song, Y. Rahmat-Samii, "Textile Patch Antenna Surrogate-based Optimization: Kriging Surrogate Modeling on Equivalent Circuit Components," in 2023 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), Boulder, CO, USA, January 2023.
• B. Zhang and Y. Rahmat-Samii, "Hybrid Fourier Neural Network in Solving 2D Electrodynamic Equations in Multilayer Media," in 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI), pp. 1013-1014, Portland, OR, USA, 2023.
• J. Wang, B. Zhang and Y. Rahmat-Samii, "Maximizing RF Switch Usage Efficiency in Electronically Reconfigurable Unit Cells: A Design using Binary Particle Swarm Optimization," in 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI), pp. 1614-1615, Denver, CO, USA, July 2022.
• B. Zhang and Y. Rahmat-Samii, "On the Implementation of Fourier Neural Operator in Solving Electromagentics Problems," in 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI), pp. 693-694, Denver, CO, USA, July 2022.
• B. Zhang and Y. Rahmat-Samii, "Adaptive Moment (Adam) Estimation Optimization Applied to AVM-FEM for Rapid Convergence," in Proceedings of the IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI), pp. 1451-1452, Singapore, Singapore, December 2021.
• B. Zhang and Y. Rahmat-Samii, "Efficient Implementation of Adjoint Variation Method for Finite Element with 3D Edge Elements," in Proceedings of the IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI), pp. 1095-1096, Singapore, Singapore, December 2021.
• B. Zhang and Y. Rahmat-Samii, "Stochastic Analysis of Human Exposure Assessment by Surrogate Model," in Proceedings of the United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), pp. 259-260, Boulder, CO, January 2021.
• B. Zhang and Y. Rahmat-Samii, "Worst-case sensitivity analysis (WCSA) by particle swarm optimization (PSO): Applications in realistic optimal antenna designs," in Proceedings of the International Conference on Electromagnetics in Advanced Applications (ICEAA), pp. 974-977, September 2016.
• B. Zhang and Y. Rahmat-Samii, "Including design sensitivity into Particle Swarm Optimization: Adaptive gradient-based techniques," in Proceedings of Asia-Pacific Microwave Conference (APMC), Nanjing, December 2015.