Master the principles of electronic biosensors, exploring detection physics, sensitivity analysis, and modern sensor technologies.
Master the principles of electronic biosensors, exploring detection physics, sensitivity analysis, and modern sensor technologies.
This comprehensive course examines the fundamental principles of electronic biosensors, focusing on three key metrics: response time, sensitivity, and selectivity. Students learn about various sensor types including potentiometric, amperometric, and cantilever-based mass sensors. The curriculum covers detection physics, fundamental limits, and system integration, preparing learners to design and evaluate modern biosensor technologies.
Instructors:
English
English
What you'll learn
Master fundamental principles of electronic biosensor operation
Analyze different types of nanobiosensors and their applications
Understand key metrics of sensor performance and limitations
Evaluate sensor integration in system platforms
Develop expertise in biosensor design and analysis
Skills you'll gain
This course includes:
Live video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 5 modules in this course
This in-depth course explores the science and engineering of electronic biosensors. The curriculum covers fundamental principles of biomolecule detection, focusing on response time, sensitivity, and selectivity. Students learn through comprehensive analysis of different sensor technologies, including their design principles, operational limits, and practical applications in modern biosensing systems.
Introduction to Nanobiosensors
Module 1 · 2 Weeks to complete
Setting Time
Module 2 · 2 Weeks to complete
Sensitivity
Module 3 · 2 Weeks to complete
Selectivity
Module 4 · 2 Weeks to complete
Putting the Pieces Together
Module 5 · 2 Weeks to complete
Instructors
Pioneering Researcher in Nanoelectronics and Biosensor Technology
Piyush Dak is an accomplished researcher who completed his dual degree (B.Tech + M.Tech) in Engineering Physics from the Indian Institute of Technology, Bombay in 2010. As a doctoral student at Purdue University's School of Electrical and Computer Engineering under Professor Muhammad Ashraful Alam, he has made significant contributions to the field of nanoelectronics and biosensors. His research focuses on developing simulation frameworks and design guidelines for portable, wearable, and implantable electronic biosensors, with particular emphasis on the extraordinary sensitivity of MoS2 cancer biosensors. His work includes building comprehensive modeling frameworks for micro/nano-scale devices used in non-volatile memories and contributing to the NEEDS program through the development of compact models for nanoscale biosensors. His expertise has been widely recognized in the academic community, with over 649 citations of his research work spanning 24 scientific publications. Currently working at Amazon, he continues to influence the field of nanoelectronics and biosensor technology through his innovative approaches to device simulation and modeling.
Distinguished Scholar Pioneering Semiconductor Device Physics and Reliability Engineering
Muhammad Ashraful Alam serves as the Jai N. Gupta Distinguished Professor at Purdue University's Elmore Family School of Electrical and Computer Engineering, where he has made transformative contributions to semiconductor device physics and reliability engineering. After completing his BSEE from Bangladesh University of Engineering and Technology in 1988, MS from Clarkson University in 1991, and Ph.D. from Purdue University in 1995, he spent eight influential years at Bell Laboratories and Agere Systems before joining Purdue in 2004. His research spans across the physics and technology of electronic, optoelectronic, and bioelectronic devices, with particular focus on performance limits of resonant tunneling diodes, semiconductor lasers, and MOSFET applications. His current work encompasses four major areas: reliability physics and self-heating of MOSFETs, end-to-end modeling of solar cells, performance limits of nano-composite thin-films for macroelectronics, and functionalized nano-bio sensor arrays. His contributions have earned him numerous accolades, including fellowship in IEEE, APS, and AAAS, the 2006 IEEE Kiyo Tomiyasu Award, and the 2015 SRC Technical Excellence Award. With over 300 published papers and more than 41,000 citations, he continues to shape the future of semiconductor technology through his innovative research and teaching at Purdue University.
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