Dr. Manisha Gupta

(she/her)

Dr. Manisha Gupta is a Professor in the department of Electrical and Computer Engineering and is additionally the Associate Dean, Graduate Students for the Faculty of Engineering (ECE).

Dr. Gupta has been involved in different areas of research and development in academia, scientific labs and industry. She has conducted material growth and optimization; device design and fabrication for both electronic and optoelectronic applications; semiconductor fabrication including material and electrical characterization as well as surface functionalization. Additionally, she has developed device based sensors for biosensing and optical sensors for solid content detection and label free cell detection.

Dr. Gupta’s lab has recently developed a point-of-care (POC) SARS-COV2 sensor which has been transferred to a local company for commercialization. Lastly, her lab is currently working on developing diabetic wound and neuropathy sensors using 3D printing. In addition, her group also conducts work in the area of 2D (quantum) materials, electronic devices, light scattering based detection and nano photonics.

About

Dr. Manisha Gupta joined the Electrical and Computer Engineering department at the University of Alberta in September 2014 as an Assistant Professor and is now a full Professor . She has over 20 years of research experience and obtained her PhD. in Electrical Engineering from Yale University in 2009 with a MSc from Rensselaer Polytechnic Institute in 2002.

During her PhD, she developed the first novel tunable gallium arsenide deep center laser based on electrical injection. She has worked on wafer level 3D integration of chips during her MS, along with yield studies on damascene structures.

As a postdoctoral fellow and research associate, she has conducted research in the area of optical materials including different growth techniques like Molecular Beam Epitaxy and Pulsed Laser deposition for growth and optimization of different materials for device applications.

She has also worked on several laser applications based on light scattering for label free detection of cells and also for oil sands applications. She has industrial experience at the Alberta Center for Micro Nano Technology Products, where she worked as an optoelectronics product engineer, and at H2Gen Innovations where she worked as an Instrumentation engineer, in addition to research experience at a National Laboratory in India.

Her research group currently develops biosensors using Aero sol jet printing for a variety of applications including diabetic sensing, point-of-care viral sensors.

We also explore different material growth using pulsed laser deposition for different applications including electronics, optoelectronics, fuel cells to name a few.

Courses

  • PN junction semiconductor basics, charge flow and diode equation. Zener diodes. BJT and MOSFET devices and operating regions. Amplifier basics: biasing, gain, input and output resistance, analysis and design. Large signal effects.

  • Basic optical properties of crystalline and amorphous semiconductor materials: energy band diagrams, optical constants. Recombination and light emission in semiconductors. Light emitting diodes: spectral characteristics, materials, and applications. Stimulated emission and laser oscillation conditions in semiconductors. Laser diodes: modal and spectral properties, steady state rate equations, materials and structures. Light absorption, optical to electrical energy conversion. Photovoltaic cells: fill factors and efficiency, temperature effects, alternative materials and structures.

  • Semiconductor device physics, device scaling trends, advanced MOSFET fabrication and the associated quantum mechanical framework in nanoscale systems. Semiconductor devices as a system of elemental components. Quantum phenomena in the evaluation of semiconductor devices. Impact of new materials such as high-k gate dielectrics, copper damascene processing and diffusion barriers on device performance. Choice of channel materials and strain condition for ultrascaled logic devices, RF and power electronic devices.

  • Graduate level course, devices for biosensing applications

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