Prof. Chavis Srichan | Surface sensors | Best Researcher Award

Prof. Chavis Srichan | Surface sensors | Best Researcher Award

Prof. Chavis Srichan ,Faculty of Engineering, Khon Kaen University ,Thailand

Dr. Chavis Srichan has a diverse academic and professional background in computer engineering and microelectronics. He received his Bachelor’s degree with First Class Honors and as a Gold Medalist from Khon Kaen University in 2002. His pursuit of advanced studies took him to Technische Universitat Hamburg, Germany, where he earned his Master’s degree in Microelectronics and Microsystems with distinction in 2006. Following this, he completed his Doctor of Engineering in Microelectronics and Embedded Systems at the Asian Institute of Technology in 2018.Dr. Srichan’s career has been marked by significant contributions to research and academia. He has held various positions, including software developer roles at MRI Laboratory, Khon Kaen University, and SIEMENS AG Munich, Germany. His research interests span printed electronics, nanoelectronics, MEMS, and embedded systems, focusing on applications such as smart home care systems and sensor development for medical diagnostics. He currently serves as a Lecturer in Computer Engineering at Khon Kaen University, where he contributes to the education of future engineers and researchers. Dr. Srichan’s work has been recognized with honors such as the Lucent Technology Scholarship, DAAD-SIEMENS scholarship, and grants from institutions like the US National Institute of Health (NIH) and Japan NICT through the ASEAN IVO Project for sensor development.

Professional Profile:

Education/Training:
  • Bachelor’s Degree (First Class Honors, Gold Medalist)
    • Institution: Khon Kaen University, Khon Kaen, Thailand
    • Completion Date: 06/2002
    • Field of Study: Computer Engineering
  • Master of Science (with Distinction)
    • Institution: Technische Universitat Hamburg, Germany
    • Completion Date: 06/2006
    • Field of Study: Microelectronics and Microsystems
  • Doctor of Engineering
    • Institution: Asian Institute of Technology
    • Completion Date: 08/2018
    • Field of Study: Microelectronics and Embedded Systems

Positions and Honors:

  • Current Position:
    • Lecturer, Computer Engineering, Khon Kaen University (since 2010)

 Experience and Training:

  • 2001: Software Developer, MRI Laboratory, Khon Kaen University, Thailand
  • 2002-2003: Teaching Assistant, Faculty of Engineering, Khon Kaen University
  • 2004: Software Developer, Taboo Search Heuristic Job Scheduling
  • 2005: Software Developer, Corporate Technology Production, SIEMENS AG Munich, Germany
  • 2008-2010: Researcher, Printed Electronics Project, Nanoelectronics and MEMS Lab, National Electronic and Computer Technology Center, Thailand

Computer Skills:

  • Python, Java, Visual C++, Labview, ANSYS, Matlab, Cadence, OpenGL, OpenCV, Tensorflow

Honors:

  • 2001-2002: Lucent Technology Scholarship
  • 2002: National Software Competition, National Electronic and Computer Technology Center, Thailand (Second Place: Facial Recognition System Using Multi-resolution Analysis and Artificial Neural Network)
  • 2004-2005: DAAD-SIEMENS Scholarship
  • 2019-2020: US National Institute of Health (NIH) Grant for Smart Home Care Connected Sensors and Mobile Application for Peritoneal Dialysis Patients
  • 2022-2024: Japan NICT funding through ASEAN IVO Project “Photonic and Electrochemical Sensors Development for Early CCA Detection”

Publication top Notes:

 

Highly-sensitive surface-enhanced Raman spectroscopy (SERS)-based chemical sensor using 3D graphene foam decorated with silver nanoparticles as SERS substrate

CITED : 108

Inkjet printing PEDOT: PSS using desktop inkjet printer

CITED : 57

Non-invasively accuracy enhanced blood glucose sensor using shallow dense neural networks with NIR monitoring and medical features

CITED : 26

Ultra-sensitive and label-free neutrophil gelatinase-associated lipocalin electrochemical sensor using gold nanoparticles decorated 3D Graphene foam towards acute kidney injury …

CITED : 21

Simple RC low pass filter circuit fabricated by unmodified desktop inkjet printer

CITED : 21