Ajitesh Dhal
(Taipei Medical University)
Biography
I am Ajitesh Dhal, a 2nd-year PhD student in the International PhD Program in Biomedical Engineering Department at Taipei Medical University, Taiwan. My research focuses on biosensors, microfluidics, and point-of-care diagnostic technologies, with an emphasis on developing label-free bioelectronic detection systems. I am particularly interested in integrating nanotechnology with clinical diagnostics to enable simple, rapid, and non-invasive healthcare solutions.
I am actively worked on innovative sensing approaches, including extended-gate field-effect transistor (EG-FET)-based biosensors and surface-enhanced Raman spectroscopy (SERS) systems. My recent work explores the detection of downstream biomarkers from saliva extracellular vesicles (EVs) , aiming to enable non-invasive and rapid diagnostic solutions. My research integrates microfabrication, surface functionalization, and real-time signal analysis to create sensitive and scalable diagnostic platforms.
I am highly motivated to contribute to research in biosensing and Microfluidic systems, especially in environments that emphasize translating laboratory innovations into real-world healthcare applications. I am particularly interested in the opportunity for my secondment at the University of the Basque Country(Microfluidics Cluster UPV/EHU) to further develop my research skills in biosensing and microfluidic technologies within an international and collaborative environment.
Research Interest
Primary Research Areas:
• Biosensors
• Microfluidics
• Extracellular vesicles (EVs) for disease diagnostics
• Surface-enhanced Raman spectroscopy (SERS)
• Point-of-care (POC) diagnostic technologies
Current Research Focus:
• Development of label-free electrical biosensors for detecting salivary extracellular vesicles
• Functionalization of gold surfaces with antibodies for selective biomarker capture
• Integration of sensing platforms with microfluidic channels for real-time analysis
• Exploration of non-invasive biomarkers for early disease detection