Mohamed Elgendi
IEEE Circuits and Systems Society joint Chapter of the Vancouver/Victoria Sections

Dr. Mohamed Elgendi
Mining for Miracles Fellow
Department of Obstetrics and Gynecology
Department of Electrical and Computer Engineering
University of British Columbia
Vancouver, BC

Basic Tips and Tricks for Data Visualization

(Presentation is available in pdf format.
Video recording has been posted on YouTube.)

Friday, March 3, 2017, 1:30 pm to 3:00 pm
ASB 10908 (SFU's Big Data Hub), Simon Fraser University, Burnaby, BC, Canada

Light refreshments will be served.
The event is open to public.
We would greatly appreciate if you would please register so that we may more accurately estimate the room size and refreshments.


Whether you are writing a paper, designing a poster, giving a talk, or writing a report, effective data visualizing is key. It is easy to be distracted by the large amounts of data and statistical results, leading one to overlook the importance of the figures that represent your data. This talk will help you communicate your message more accurately and effectively. Through the use of real-life examples,you will learn ways to improve visualization of your charts, creating more accessible and understandable visuals. Dr. Elgendi's interactive and conversational workshop style creates an easy-to-remember learning environment. Attendees will learn Dr. Elgendi's tips and tricks that he has harnessed over the years, leaving you with a new perspective on visualizations in this upbeat and engaging workshop. This workshop will include:

Who should attend:
This workshop is ideal for staff, students, fellows, or managers in a wide range of disciplines with an interest in the visual presentation of data. No programming experience or specific software experience is necessary.


Dr. Mohamed Elgendi is a senior IEEE member and currently a Mining for Miracles Postdoctoral Fellow at the University of British Columbia in Vancouver, Canada. In addition to his 10+ years of experience in the field of data analysis, he received training on Big Data Analysis and Leadership in Education from MIT. Elgendi's experience in the area of data analysis and visualization includes his work in Global Health with the PRE-EMPT Initiative (funded by the Bill and Melinda Gates Foundation), and at the Institute for Media Innovation at Nanayang Technological University (Singapore). Elgendi specializes in bridging the areas of engineering, computer science, psychology, neuroscience and medicine for knowledge translation.

Last updated 
Sat Jan 28 14:34:32 PST 2017.