Molecular Sensors and Nanodevices: Principles, Designs and Applications in Biomedical Engineering, Second Edition is designed to be used as a foundational text, aimed at graduates, advanced undergraduates, early-career engineers and clinicians. The book presents the essential principles of molecular sensors, including theories, fabrication techniques and reviews. In addition, important devices and recently, highly-cited research outcomes are also cited. This differentiates the book from other titles on the market whose primary focus is more research-oriented and aimed at more of a niche market.
- Covers the fundamental principles of device engineering and molecular sensing, sensor theories and applications in biomedical science and engineering
- Introduces nano/micro fabrication techniques, including MEMS, bioMEMS, microTAS and nanomaterials science that are essential in the miniaturization of versatile molecular sensors
- Explores applications of nanomaterials and biomaterials, including proteins, DNAs, nanoparticles, quantum dots, nanotubes/wires and graphene in biomedicine
Xiaojing(John) Zhang is an Associate Professor in the Department of Biomedical Engineering at the University of Texas of Austin (UT Austin). He received his Ph.D. from Stanford University, California, and was a Research Scientist at Massachusetts Institute of Technology (MIT) before joining the faculty at UT Austin.
Dr. Zhang’s research focuses on integrating Micro-electro-mechanical Systems (MEMS), nano-materials, micro-imaging and biosensors to provide innovative solutions to critical healthcare issues. Dr. Zhang has actively engaged in teaching new concepts and methods in these emerging biomedical engineering frontiers and has demonstrated innovation and excellence in engineering education. The materials presented in this textbook are based on his lecture notes while teaching a popular course on molecular sensors and nanodevices at UT Austin for the past 8 years.
He has a track record for developing both core and emerging engineering curriculum along with developing well-funded research programs with fellow students. Among his numerous awards, Dr. Zhang received the Wallace H. Coulter Foundation Early Career Award in Biomedical Engineering, NSF CAREER award, DARPA Young Faculty Award among many others. To recognize his accomplishment in research and education, Dr. Zhang was selected to attend the prestigious US National Academy of Engineering, Frontiers of Engineering (NAE FOE) program in 2011, the NAE Frontiers of Engineering Education (NAE FOEE) program in 2012, and subsequently China-America Frontiers of Engineering Symposium (CAFOE) program in 2013.
As an active member in his professional community, Dr. Zhang has served on numerous international conference organizing committees and editorial boards. He is an editor for ASME/IEEE Journal of Microelectromechanical Systems (JMEMS) and an associate editor Biomedical Microdevices.
Kazunori Hoshino received his PhD degree in mechanical engineering from the University of Tokyo, Tokyo, Japan, in 2000. He worked for the University of Tokyo from 2003 to 2006 as a lecturer in the Department of Mechano-Informatics, School of Information Science and Technology, where he conducted several government funded project as the principal investigator. In 2006, he joined the University of Texas at Austin, where he works as a Senior Research Associate in the Department of Biomedical Engineering. His research interests are (1) NEMS/MEMS-based nanophotonic sensing and imaging systems and (2) microfluidic detection, imaging, and analysis of cancer cells. He has more than 100 peer reviewed publications in top international journals and conferences in the field of sensors, micro-electro-mechanical system (MEMS), and micro total analytical systems (µTAS). He is the inventor of 6 issued US patents and 12 issued Japanese patents. The courses he has taught at the University of Tokyo and the University of Texas at Austin include: molecular sensors and nanodevices, intelligent micro-electro-mechanical systems, digital control systems, and engineering mathematics.
