- Chair at IEEE SFU Student Branch
- Ph.D. Candidate (2019 – Expected in April 2023)
- Intelligent Sensing Laboratory,
- Mechatronic Systems Engineering,
- Faculty of Applied Sciences, Simon Fraser University
My Research Journey
- I have extensive experience in cutting-edge technologies, ranging from electronic circuits and power management units to physical neural networks and emerging computing platforms. My research career has spanned 11 years across 4 universities and has given me the opportunity to work across disciplinary boundaries, think critically about problems from multiple perspectives, and have the flexibility and adaptability to work with different technologies and systems. This foundation enables me to contribute to developing new ideas, knowledge, and solutions.
- I spent several years on leading special projects and supervising graduate students in fields such as nanotechnology, biosensors, and microfabrication.
- For several years, I focused on the design of low-power integrated circuits and the development of a complete hybrid, power-efficient integrated regulator.
- Currently, I am researching the physical realization of unconventional contextual processors using physical systems as potential next-generation computing platforms. I have hands-on experience with laboratory equipment, software development, and a strong understanding of sensors, devices, and emerging technologies.
Integrated Circuit Design
I can’t believe I spent almost 4 years during my bachelor’s and master’s programs on the design of low power integrated circuits, especially low dropout regulators, and low noise amplifiers.
Microfabrication of Sensors
I devoted almost 3 years of my research career to the microfabrication of devices. I have gone through many photolithography, lift-off, and RF sputtering processes during this time.
Breast Cancer Detection
Successfully trapping the circulating tumor cells (CTC) using patterned nanowire substrates, was one of my projects that received my attention for 2 full years.
Physical Computing Platforms
Sensors can not only sense the environment but also can make sense of it on their own. I’m developing physical computers during my Ph.D. studies using a specific type of sensors.
Synthesis of ZnO Nanostructures
Synthesis of Zinc Oxide (ZnO) nanostructures was a part of my research on capturing CTCs from normal blood cells. I have synthesized nanorods, nano leaves, nanoflowers, and nanosheets.
Device Level Simulations
I have designed and simulated many device-level structures, including tandem solar cells, field-effect diodes, memory devices, and photodetectors using Silvaco Atlas.
When they say microfluidics, I imagine a flow of blood cells in a microfluidic channel using an electrical field gradient. While the drag force tries to oppose the motion of the cells, the dielectrophoresis force deflects them based on their size in various directions.
Semiconductors, heat convection and conduction, and microfluidics are the modules I had the chance to work with during my research career. I have done transient and stationary analysis.
I can solve problems with everything I have in my power: I’ll try Matlab or Maple. I am super comfortable with both of them either in coding, designing circuits, or simulation of electrical/mechanical systems in the Simulink.