Mrs. Nazli Kazemi, Polytechnique Montr´eal, Canada
Nazli Kazemi, designated as Mrs., is a distinguished figure in the field of Electrical Engineering, currently serving as a Postdoctoral Fellow at Polytechnique Montreal. Born on August 18, 1986, in Athens, Greece, Nazli’s journey in academia and research spans over a decade, marked by groundbreaking contributions to microwave sensors enhanced with machine learning techniques. Nazli holds a Ph.D. in Software Engineering and Intelligent Systems from the University of Alberta, complemented by an M.Sc. in Electromagnetics and Microwaves and a B.Sc. in Electrical Engineering from Iran University of Science and Technology. Her academic prowess and practical acumen shine through her role as an RF/Antenna Consultant at Polaris RF Antenna Solutions Inc., where she pioneers innovative wireless power transfer systems for electric vehicles. Her research focuses on advancing microwave planar sensors, leveraging machine learning algorithms to enhance accuracy and sensitivity across diverse applications. Notably, Nazli’s work includes pioneering contributions to energy harvesting using metasurfaces, anomaly detection in smart grids, and the development of predictive glucose sensors. She has authored numerous papers in esteemed journals and is recognized for her teaching excellence at Humber College.
Professional Profile:
ORCID
Education:
- Ph.D. in Software Engineering and Intelligent Systems
- University of Alberta, Canada
- Thesis: Enhancing Microwave Sensors with Advanced Machine-Learning Techniques
- M.Sc. in Electromagnetics and Microwaves
- Iran University of Science and Technology, Iran
- B.Sc. in Electrical Engineering
- Iran University of Science and Technology, Iran
Current Position:
- Postdoctoral Fellow
- Polytechnique Montreal, Canada
- Department of Electrical Engineering
- Specializing in Microwave Sensors with a focus on Machine Learning
Previous Positions:
- Research Associate
- Energy Digitization Lab, University of Alberta
- Projects: Energy harvesting using metasurfaces, anomaly detection in smart grids, glucose sensing with predictive features
- RF/Antenna Consultant
- Polaris RF Antenna Solutions Inc., Canada
- Developed wireless power transfer systems for electric vehicles
Teaching Experience:
- Humber College, Canada
- Courses: Digital fundamentals, networking technologies, sensors
- Integrated theoretical knowledge with practical applications
Research Focus Areas:
- Microwave Sensors
- Machine Learning
- Active Circuit Design
- Radar and Remote Sensing
Academic Achievements:
- Published numerous papers in Biosensors and Bioelectronics, IEEE Transactions, Sensors, etc.
- Recognized with several awards and accolades for innovation and research excellence
This background underscores Nazli Kazemi’s extensive academic journey and professional contributions in advancing microwave sensor technology through innovative research and practical applications.
Publication top Notes:
Distribution Grid Fault Classification and Localization using Convolutional Neural Networks
A Comparative Study of Reinforcement Learning Algorithms for Distribution Network Reconfiguration With Deep Q-Learning-Based Action Sampling
AI-Assisted Ultra-High-Sensitivity/Resolution Active-Coupled CSRR-Based Sensor with Embedded Selectivity
In-human testing of a non-invasive continuous low-energy microwave glucose sensor with advanced machine learning capabilities
Resolution enhancement of microwave sensors using super-resolution generative adversarial network