Name: Scientific visualization: with big data comes great responsibility
Start: 2022-06-08T17:45:00+02:00
End: 2022-06-08T19:15:00+02:00
Location: Faculty of Technology and Metallurgy, Amphitheatre

We are very excited to announce our 19th Data Science Meetup. On Wednesday, 08.06.2022, from 17:45 to 19:00, Dr. Nikola Stikov a professor at University of Montreal will give a super interesting talk about big data vizualization.

Dr. Nikola Stikov is associate professor of biomedical engineering, a researcher at the Montreal Heart Institute, and co-director of NeuroPoly, the Neuroimaging Research Laboratory at École Polytechnique, University of Montreal. Prior to joining the Polytechnique faculty, Dr. Stikov completed his postdoctoral training at the Montreal Neurological Institute, and his B.S., M.S., and Ph.D. degree at Stanford University. He is currently a visiting professor at FINKI and member of the board of the newly formed Center for advanced interdisciplinary research at UKIM.
Dr. Stikov's research runs the gamut of quantitative magnetic resonance imaging, from basic issues of standardization and accuracy, to biophysical modeling, microstructural imaging and clinical applications. He is also a vocal open science advocate, leading the reproducibility efforts of the International Society for Magnetic Resonance Imaging (ISMRM) and sitting on the steering committee of the Canadian Open Neuroscience Platform (CONP). He is also co-cofounder of NeuroLibre.org, a preprint server for hosting executable research objects.

Abstract
As research increasingly relies on big data and intense computation, scientists are developing innovative ways to visualize and analyze their data. The first part of this lecture will give an overview of basic visualization techniques and the ways in which they facilitate data analysis. In the second part we will focus on visualization examples from magnetic resonance imaging, exploring ways to interact with the data using Jupyter notebooks and Plot.ly figures. Finally, the ramifications of this approach will be discussed in the context of academic publishing, offering a way to go beyond the PDF by creating interactive research documents that integrate figures, code and data.

The event is supported by FCSE, National Competency Center for HPC, HPDA and AI, FEIT and Infinite Solutions.

Snacks and drinks provided by Infinite Solutions :)

Goran Stojanovski

Valentin Gjorgjioski

Hristijan Gjoreski

Gjorgji Madjarov

Data Science Macedonia

Technology

Business Intelligence

Big Data

Machine Learning

Data Analytics

Data Visualization

Predictive Analytics

Data Mining

Data Science

Data Science using Python

Data Science for Business

Scientific visualization: with big data comes great responsibility

Faculty of Technology and Metallurgy, Amphitheatre

Share

Data Science Macedonia

Scientific visualization: with big data comes great responsibility

Data Science Macedonia

Details

Members are also interested in