Research students

Chayanin's research is focused on utilizing mathematical models to gain a deeper understanding of the transmission dynamics of infectious diseases and to evaluate the effectiveness of interventions. Currently, she is working on a project that involves the development of mathematical models to simulate the spatiotemporal spread of rabies among dogs, taking into account the distribution of roads and building structures. She is also actively involved in modeling the transmission of COVID-19 and monitoring SARS-CoV-2 in wastewater in Thailand. Chayanin completed her Bachelor of Science degree in Physics at Khon Kean University in Thailand.

Natcha's research is centered around the utilization of epidemic models to simulate the transmission of infectious diseases, with the goal of gaining a more profound comprehension of transmission dynamics and evaluating the effectiveness of interventions. Her current project is focused on developing evolutionary epidemic models that can simulate the evolutionary spread of COVID-19 in Thailand, with the hope of shedding light on the disease's transmission mechanisms and identifying effective intervention strategies. Natcha is currently pursuing a one-year research internship at the Pathogen Dynamics Group at the University of Cambridge. The internship is providing her with the opportunity to work alongside other researchers and deepen her understanding of infectious diseases and the application of modeling techniques to analyze COVID-19 transmission dynamics.

Noppamas Yolai, also known as Pop, is actively involved in a research project that employs finite element modeling to investigate the impact of different types and shapes of microneedles on the activation of antigen-presenting cells (APCs), which play a vital role in initiating an adaptive immune response. Along with analyzing the impact of APC activation, she also evaluates the mechanical strength of polymer microneedles, aiming to enhance their ability to withstand the compressive forces exerted during skin insertion. Noppamas is motivated to develop innovative microneedle technology that can provide efficient and safe drug and vaccine delivery methods. Her research is expected to make significant contributions to the field of microneedle technology and improve healthcare outcomes.

Pikkanet Suttirat is currently focused on utilizing machine learning with wearable device sensors to develop a system that can provide early warning alerts for respiratory infection events, even before the onset of symptoms. He is proficient in both supervised and unsupervised approaches to machine learning for classification. He has experience with traditional classification algorithms such as Logistic Regression, K-Nearest Neighbor, and Random Forest. Furthermore, he is interested in one-class classification and outlier detection techniques, including Isolation Forest and Elliptic Envelope. Pikkanet's previous experience in finite element modeling is based on his work during his master's degree, where he applied the finite element method to study the effect of microneedle arrangement in vaccine delivery systems.

Tanakorn is a Ph.D. student currently conducting research in my research group. He completed his BSc and MSc degrees at Mahidol University, with a focus on computational fluid dynamics and computational aerodynamics for his Master's research. Tanakorn's current research focuses on exploring the transmission of infectious diseases across complex networks and analyzing the impact of immunization on disease dynamics. Through his research, Tanakorn aims to gain insights into the mechanisms underlying infectious disease transmission and identify effective interventions to control its spread.

Thanchanok Lincharoen's research interests lie in the transmission dynamics of infectious diseases, with a specific focus on understanding how face masks affect airborne transmission. For her Master's thesis, she is investigating the effectiveness of face masks in reducing SARS-CoV-2 transmission. To do this, Thanchanok is utilizing respiratory particle size distribution and virus concentration data to calculate the number of inhaled and exhaled viruses with and without face masks. Additionally, she is simulating SARS-CoV-2 transmission models to obtain a more comprehensive understanding of the impact of face masks on COVID-19 transmission.

Chalermchai Tongbai is dedicated to the development and design of microneedles. His primary focus is on engineering microneedles that can effectively and safely penetrate the skin while delivering drugs or vaccines with high efficiency. His work is motivated by the numerous benefits of microneedle technology, such as reduced discomfort and increased patient compliance, when compared to traditional injection methods. Chalermchai's research aims to contribute to the continued advancement of microneedle technology to improve healthcare outcomes for patients.