Dr. Syed Ahson Ali Shah
Syed Ahson Ali Shah (Member, IEEE) received the B.Sc. degree in Telecommunication Engineering from the University of Engineering and Technology, Mardan, Pakistan, in 2015. He has received the M.S. Leading to Ph.D. degree in Electronic Engineering at the Applied Bioelectronics Laboratory, Hanyang University, Seoul, South Korea, in 2022 under the supervision of Dr. Hyoungsuk Yoo. He has worked as a Postdoctoral Researcher with the Applied Bioelectronics Laboratory, Hanyang University from September 2022 to March 2023. Since April 2023, he has been working as a Postdoctoral Researcher with the Mobile Power Electronics Laboratory and Power Systems Laboratory, Gwangju Institute of Science and Technology. To date, he has published several journal articles and conference papers. His research interests include free-space antennas for wireless communications, implantable antennas and systems, implant safety, wireless power transfer system, sensor-integrated biotelemetric stents, reconfigurable antenna, metamaterial-based antenna systems, and 5G antennas development.
Dr. Ahson has received IETE MN SAHA Memorial Award and Gold Medal for best Application-Oriented Paper, in 2018. He has also received Bronze Paper Award at IEEE Student Paper Contest, Seoul, in 2019, in 2021, and in 2022. He has also won 3rd Best Student Paper Award in 2021 Competition arranged by the Korean Institute of Electromagnetic Engineering & Science (KIEES). His PhD Thesis has been recognized as one of the excellent dissertations and received the Best PhD Thesis Award in overall university and the only in Electronic Engineering Department. He has been a Registered Engineer with Pakistan Engineering Council (PEC), Pakistan, since 2016. He is also serving as a Reviewer for IEEE Transactions in Antennas and Propagation, IEEE Transactions on Industrial Electronics, IEEE Access, International Journal of RF and Microwave Computer-Aided Engineering, Nature Scientific Reports, and SN Applied Sciences.
Dr. Ahson has received IETE MN SAHA Memorial Award and Gold Medal for best Application-Oriented Paper, in 2018. He has also received Bronze Paper Award at IEEE Student Paper Contest, Seoul, in 2019, in 2021, and in 2022. He has also won 3rd Best Student Paper Award in 2021 Competition arranged by the Korean Institute of Electromagnetic Engineering & Science (KIEES). His PhD Thesis has been recognized as one of the excellent dissertations and received the Best PhD Thesis Award in overall university and the only in Electronic Engineering Department. He has been a Registered Engineer with Pakistan Engineering Council (PEC), Pakistan, since 2016. He is also serving as a Reviewer for IEEE Transactions in Antennas and Propagation, IEEE Transactions on Industrial Electronics, IEEE Access, International Journal of RF and Microwave Computer-Aided Engineering, Nature Scientific Reports, and SN Applied Sciences.
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Papers by Dr. Syed Ahson Ali Shah
Background and Objective
Owing to the significant role of hyperthermia in enhancing the efficacy of chemotherapy or radiotherapy for treating malignant tissues, this study introduces a real-time hyperthermia simulator (RTHS) based on the three-dimensional finite element method (FEM) developed using the MATLAB App Designer.
Methods
The simulator consisted of operator-defined homogeneous and heterogeneous phantom models surrounded by an annular phased array (APA) of eight dipole antennas designed at 915 MHz. Electromagnetic and thermal analyses were conducted using the RTHS. To locally raise the target temperature according to the tumor's location, a convex optimization algorithm (COA) was employed to excite the antennas using optimal values of the phases to maximize the electric field at the tumor and amplitudes to achieve the required temperature at the target position. The performance of the proposed RTHS was validated by comparing it with similar hyperthermia setups in the FEM-based COMSOL software and finite-difference time-domain (FDTD)-based Sim4Life software.
Results
The simulation results obtained using the RTHS were consistent, both for the homogeneous and heterogeneous models, with those obtained using commercially available tools, demonstrating the reliability of the proposed hyperthermia simulator. The effectiveness of the simulator was illustrated for target positions in five different regions for both homogeneous and heterogeneous phantom models. In addition, the RTHS was cost-effective and consumed less computational time than the available software. The proposed method achieved 94% and 96% accuracy for element sizes for the homogeneous model. For the heterogeneous model, the method demonstrated 93% and 95% accuracy for element sizes. The accuracy can be further improved by using a more refined mesh at the cost of a higher computational time.
Conclusions
The proposed hyperthermia simulator demonstrated reliability, cost-effectiveness, and reduced computational time compared to commercial software, making it a potential tool for optimizing hyperthermia treatment.
Background and Objective
Owing to the significant role of hyperthermia in enhancing the efficacy of chemotherapy or radiotherapy for treating malignant tissues, this study introduces a real-time hyperthermia simulator (RTHS) based on the three-dimensional finite element method (FEM) developed using the MATLAB App Designer.
Methods
The simulator consisted of operator-defined homogeneous and heterogeneous phantom models surrounded by an annular phased array (APA) of eight dipole antennas designed at 915 MHz. Electromagnetic and thermal analyses were conducted using the RTHS. To locally raise the target temperature according to the tumor's location, a convex optimization algorithm (COA) was employed to excite the antennas using optimal values of the phases to maximize the electric field at the tumor and amplitudes to achieve the required temperature at the target position. The performance of the proposed RTHS was validated by comparing it with similar hyperthermia setups in the FEM-based COMSOL software and finite-difference time-domain (FDTD)-based Sim4Life software.
Results
The simulation results obtained using the RTHS were consistent, both for the homogeneous and heterogeneous models, with those obtained using commercially available tools, demonstrating the reliability of the proposed hyperthermia simulator. The effectiveness of the simulator was illustrated for target positions in five different regions for both homogeneous and heterogeneous phantom models. In addition, the RTHS was cost-effective and consumed less computational time than the available software. The proposed method achieved 94% and 96% accuracy for element sizes for the homogeneous model. For the heterogeneous model, the method demonstrated 93% and 95% accuracy for element sizes. The accuracy can be further improved by using a more refined mesh at the cost of a higher computational time.
Conclusions
The proposed hyperthermia simulator demonstrated reliability, cost-effectiveness, and reduced computational time compared to commercial software, making it a potential tool for optimizing hyperthermia treatment.