Jump to content

User:Dr.Lei.Zhang/sandbox

From Wikipedia, the free encyclopedia
Dr. Lei Zhang
张蕾
Born
Qingdao, China
NationalityChinese
CitizenshipCanadian Permanent Resident
Education
Scientific career
FieldsQuantum Computing
Artificial Intelligence
Machine Learning
Computer Vision
Neuroscience
Artificial Neural Networks
FPGA
Electronic Engineering
InstitutionsUniversity of Regina
ThesisFPGA Embedded System for Ultrasonic Non-Destructive Testing (2012)
Doctoral advisors
  • Wamadeva Balachandran
  • Abbes Amira
Websiteuregina.ca/~zhang53l/[1]
In this Chinese name, the family name is Zhang (张).
The native form of this personal name is Zhang Lei (张 蕾). This article uses Western name order when mentioning individuals.

To add pictures, use this format: [[File:Photo.ext|thumb|Photo caption]].

Biography

[edit]

Dr. Lei Zhang[1] is an Associate Professor in the Faculty of Engineering and Applied Science at the University of Regina. She completed her BEng degree in Electronic Engineering from Qingdao University (China) in 2023, MSc degree in Electrical and Electronic Engineering from Durham University (UK) in 2006, and her PhD degree in Electrical and Electronic Engineering from Brunel University (UK) in 2012.

Early Career

[edit]

From 2006 to 2013, she worked in the UK as an electronic design engineer with The Welding Institute, and later as a hardware design consultant with the Cambridge Technology Group. She is the electronic designer for the commercial ultrasound testing system Teletest Focus ®. [2] [3]

Recognition

[edit]

Dr. Zhang has been granted with the CEng title -Chartered Engineer (UK) by British Engineering Council, and the title of European Engineer (EUR ING) by the European Federation of National Engineering Associations (FEANI). She is a registered Professional Engineer (PEng) in Canada with the Association of Professional Engineers and Geoscientists of Saskatchewan (APEGS).

Academic Life

[edit]

Since 2013, she became an Assistant Professor with the Faculty of Engineering and Applied Science at the University of Regina in Canada, and was promoted to tenured Associate Professor in 2020. She is the author of three book chapters, and more than 60 journal and conference articles. Her research interests include quantum computing, artificial neural networks, spiking neural networks, artificial intelligence, low-power and fast computing, FPGA hardware acceleration, and bio-inspired design applications.

Research

[edit]

Dr. Lei Zhang's research interests include quantum computing, artificial intelligence, machine learning, computer vision, cognitive neuroscience, and computational neuroscience. She has published more than 60 peer-reviewed research papers, listed on her Google Scholar page.[1] Her work appears in computer science and engineering journals including IEEE Access,[4] IEEE Transactions on Artificial Intelligence,[5] Neural Networks,[6] Nonlinear Dynamics,[7] Sensors.[8]

Book Chapters

[edit]

Dr.Lei Zhang extended her research on AI and machine learning to healthcare and financial applications and contributed 3 book chapters:

  • Nonlinear Autoregressive Model Design and Optimization Based on ANN for the Prediction of Chaotic Patterns in EEG Time Series in book Biomedical Engineering and Computational Intelligence (2019) by by Springer Nature.[9]
  • Deep Learning and Statistical-Based Daily Stock Price Forecasting and Monitoring in book AI and Machine Learning Paradigms for Health Monitoring System (2021) by Springer Publishing.[10]
  • Artificial Intelligence: Its Role in Diagnosis and Monitoring Against COVID-19 in book AI and Machine Learning Paradigms for Health Monitoring System (2021) by Springer Publishing.[11]

Teaching

[edit]

She teaches undergraduate and graduate classes in the Electronic System Engineering Program. She also supervises Master's and PhD students, and undergraduate final year projects.

  • ENEL 384 Digital Electronics
  • ENEL 351 Microcontroller System Design
  • ENEL 453/789 FPGA Design Using VHDL
  • ENEL 864 FPGA Design Appliances
  • ENEL 890AP Dynamical Systems in Neuroscience
  • ENEL 890AH System Design and Testing Using Boundary-Scan

References

[edit]
  1. ^ a b c Lei Zhang publications indexed by Google Scholar
  2. ^ Zhang, Lei (December 21, 2012). "FPGA Embedded System Design of Multi-Channel Guided Waves Ultrasonic Testing Instrument for Pipeline Inspection".
  3. ^ Zhang, Lei (October 20, 2014). "A multichannel data acquisition system design for Guided Waves Ultrasound Testing".
  4. ^ Zhang, Lei (2019). "Building logistic spiking neuron models using analytical approach". IEEE Access. 7: 80443–80452. doi:10.1109/ACCESS.2019.2921003. ISSN 2169-3536.
  5. ^ Shah, Syed Aamir Ali; Bais, Abdul; Zhang, Lei (2023). "Optimization of patient specific stimulus for deep brain stimulation using spatially distributed neural sources". IEEE Transactions on Artificial Intelligence. 5 (2): 786–800. doi:10.1109/TAI.2023.3282199. ISSN 2691-4581.
  6. ^ Shah, Syed Aamir Ali; Zhang, Lei; Bais, Abdul (2020). "Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals". Neural Networks. 130: 75–84. doi:10.1016/j.neunet.2020.06.018.
  7. ^ Shah, Syed Aamir Ali; Bais, Abdul; Zhang, Lei (2020). "Adaptation of dynamical properties of time series data and its applications in deep brain stimulation". Nonlinear Dynamics. 99: 3231–3251. doi:10.1007/s11071-019-05453-0.
  8. ^ Ahmad, Maruf; Lei, Zhang (2024). "FPGA Implementation of Complex-Valued Neural Network for Polar-Represented Image Classification". Sensors. 24 (3). doi:10.3390/s24030897.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  9. ^ Zhang, Lei (July 27, 2019). "Nonlinear Autoregressive Model Design and Optimization Based on ANN for the Prediction of Chaotic Patterns in EEG Time Series". Retrieved July 7, 2024.
  10. ^ Chimmula, Viny; Zhang, Lei; Malik, L; Kumar Yadav, H (February 15, 2021). "Deep Learning and Statistical-Based Daily Stock Price Forecasting and Monitoring. In: Malik, H., Fatema, N., Alzubi, J.A. (eds) AI and Machine Learning Paradigms for Health Monitoring System. Studies in Big Data, vol 86. Springer, Singapore". Springer. Retrieved July 6, 2024.
  11. ^ Chimmula, Viny; Zhang, Lei; Kumar, Abhinay (February 15, 2021). "Deep Learning and Statistical-Based Daily Stock Price Forecasting and Monitoring. In: Malik, H., Fatema, N., Alzubi, J.A. (eds) AI and Machine Learning Paradigms for Health Monitoring System. Studies in Big Data, vol 86. Springer, Singapore". Springer. Retrieved July 6, 2024.


Retrieved from "https://en.wikipedia.org/w/index.php?title=User:Dr.Lei.Zhang/sandbox&oldid=1233270379"