Gregory Kiar, Phd Email & Phone Number

Montreal, Quebec, Canada

Gregory Kiar, PhD, is a research scientist at the Child Mind Institute. Throughout his degrees in Biomedical Engineering, Greg has developed techniques to study biosignal data, a turn-key tool that allows researchers to generate maps of brain connectivity from diffusion MRI data, and techniques to assess and improve the stability of research in neuroscience.Greg's research bridges the fields of numerical analysis and brain imaging to evaluate and improve the trustworthiness of techniques used to study the brain. He has developed infrastructures that support the reliable evaluation of neuroimaging experiments, studied the role that unavoidable computing errors play in results, and developed techniques to consider such errors when building robust models of the brain. His work ultimately seeks to inform decision making surrounding robust data collection, image processing, and biomarker discovery. Greg has considerable experience in computational statistics, uncertainty quantification, pipeline development, and machine learning.

Montreal, Canada Area

Responsible for the exploration and integration of distributed software software services with high performance computing clouds and clusters, providing development, training, and support towards the use of tools and services within international collaborations. Focused on the development of methods for evaluating the trustworthiness and stability of neuroimaging tools and experiments. Applied machine learning ensembling approaches towards increasing the robustness of scientific findings.

Center For Imaging Science

Department Of Biomedical Engineering

Responsible for instruction, evaluation, and supporting content design for: Freshman Modeling and Design for BME (2014, 2015), Systems and Controls (2015), Introduction to Connectomics (2015, 2016), Statistical Connectomics (2015), The Art of Data Science (2016).

Center For Imaging Science

Department Of Systems And Computer Engineering

Taught basic C++ programming to 1st year engineering students at Carleton University. Marked midterms, assignments promptly. Conducted extra tutorials for students who required extra help.

Student Academic Success Centre

Conducted tutorial sessions for students on basic electromagnetics and power engineering. Created worksheets and mock exams relevant to course material.

Dr. Rafik Goubran

Programmed algorithms for wireless PPG (photoplethysmography) sensor data processing on an Arduino microcontroller. Built on existing publish-subscribe system for real-time streaming of patient vital signs to a closed-server ip.

Dr. Andy Adler

Finite element modelling of electrical systems in Matlab. Acquired data using Memta software and GRASS data acquisition systems. Solved inverse problems using neural networks. Wrote and presented conference publication in Germany.

Parks And Recreation

Taught swimming and life saving skills to people of all ages. Kept current standards in and taught emergency first aid techniques.

Dr. Jeff Dawson

Programmed Arduino microcontroller for processing of biological data received from locusts. Designed algorithms to detect muscular impulses on parallel channels and determine outputs from correlated signals. Printed circuit boards and circuit assembly. Created a prototype and completed base research for project which later was further developed by student research teams.

Doctor Of Philosophy - Phd, Bioengineering And Biomedical Engineering

Master'S Degree, Biomedical/Medical Engineering

Bachelor'S Degree, Biomedical And Electrical Engineering

Activities and Societies: CUBES (Carleton University Biomedical Engineering Society), CSES (Carleton Student Engineering Society), CUSERT.