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February 18, 2021
February 18, 2021
Our team is mentioned in a new
Globe & Mail Article!
Our team is mentioned in a new
Globe & Mail Article!
You can access it here through CTV News.
It was published alongside five "projects to watch" in Canada.
2020
2020
November 10, 2020
November 10, 2020
CONGRATULATIONS TO MY STUDENT HUMZA!
CONGRATULATIONS TO MY STUDENT HUMZA!
His MSc Thesis won this year's CS Department "Outstanding Masters Thesis" Award!
June 2020
June 2020
CONGRATULATIONS TO MY STUDENT ANIMESH!
CONGRATULATIONS TO MY STUDENT ANIMESH!
The MSc Thesis by Animesh Kumar Paul, "Learning Models for Psychiatric Diagnosis and Prognosis" was nominated for a best MSc Thesis.
May 20, 2020
May 20, 2020
GREAT SUPERVISOR AWARD
GREAT SUPERVISOR AWARD
I am very fortunate to work with many immensely talented, and hard working, students... who recently surprised me (again!) by nominating me to receive a 2020 Great Supervisor Award
I am honoured... and so lucky ! Thanks!
April 24, 2020
April 24, 2020
LAB MEETING...WITH SURPRISE!!!
LAB MEETING...WITH SURPRISE!!!
I have weekly lab meetings with my team (UGrad/Grad Students + PostDocs) every Friday... which of course has been “from home using G’meet” over the last few weeks due to COVID-19.
MAY 2020
MAY 2020
CAIAC MASTER'S THESIS AWARD
CAIAC MASTER'S THESIS AWARD
With great pride, I am delighted to report that my former MSc student, Humza Haider, was awarded the Master's Thesis Award by CAIAC (the Canadian Artificial Intelligence Association) for his thesis "Individual Survival Distributions: A More Effective Tool for Survival Prediction"
https://www.caiac.ca/en/best-theses-dissertations
Well done, Humza!
November 6, 2020
November 6, 2020
Our research is contributing to new insights on blood groups and COVID-19!
Our research is contributing to new insights on blood groups and COVID-19!
August 2020
August 2020
WE ARE FEATURED IN FOLIO MAGAZINE!
WE ARE FEATURED IN FOLIO MAGAZINE!
June 2020
June 2020
WE HAVE A NEW PUBLICATION IN THE JOURNAL OF MACHINE LEARNING RESEARCH(JMLR):
WE HAVE A NEW PUBLICATION IN THE JOURNAL OF MACHINE LEARNING RESEARCH(JMLR):
Effective Ways to Build and Evaluate Individual Survival Distributions
Effective Ways to Build and Evaluate Individual Survival Distributions
Check out the article here.
May 16, 2020
May 16, 2020
HELPING WITH COVID-19 RESEARCH
HELPING WITH COVID-19 RESEARCH
My work is highlighted in the AICan Bulletin: Russ Greiner is developing machine learning models to help physicians diagnose pneumonia with ultrasound scanners.
Read the associated article: Fourteen AI research projects join the fight against COVID-19
2019
2019
November 11, 2019
November 11, 2019
*image credit Business in Edmonton*
ARTICLE RE: HEALTHCARE
ARTICLE RE: HEALTHCARE
Recently asked to summarize some of the impacts of AI to Healthcare; check out Business in Edmonton
August 11, 2019
August 11, 2019
AI-POWERED CHATBOT TO HELP
AI-POWERED CHATBOT TO HELP
We are beginning work to create a novel AI-based ChatBot to help guide caretakers to information relevant to children with neurodevelopmental disabilities. Check out the Folio article
Research lead by Dr Francois Bolduc
April 2, 2019
April 2, 2019
*image credit National Post*
AI & DRUG DISCOVERY
AI & DRUG DISCOVERY
I was quoted in the April 1st National Post article
"'Filling in the missing pieces': How AI is transforming drug discovery, development and innovation"
October 20, 2019
October 20, 2019
WE'RE ON GERMAN TV!
WE'RE ON GERMAN TV!
Our team, led by outstanding PostDoctoral Fellow, Sunil Kalmadi, used Machine Learning techniques to produce a novel method that learns a model that can use a person's fMRI data to predict if s/he is a never-treated schizophrenia patient, versus a "healthy control". This result appeared in the prestigious Nature journal, npj Schizophrenia
A story on this research was aired on the German national TV show "Nano" (channel 3Sat)
(Time: 21:50)Also discussed in many other news articles, in Japanese, Russian, Arabic, Spanish, Turkish, Hindi, … as well as many in English
February 4, 2019
February 4, 2019
NEW TECHNIQUE TO DIAGNOSE (NEVER TREATED) SCHIZOPHRENIA PATIENTS!
NEW TECHNIQUE TO DIAGNOSE (NEVER TREATED) SCHIZOPHRENIA PATIENTS!
Our team, led by outstanding PostDoctoral Fellow, Sunil Kalmady, used Machine Learning techniques to produce an important tool that uses a person's fMRI data to determine if s/he is a never-treated schizophrenia patient, versus a "healthy control". This result appeared in the prestigious Nature journal, npj Schizophrenia Check out the buzz -- in press articles from around the world
#machinelearning #artificialintelligence #uofa #amii #nimhans #schizophrenia
2018
2018
September 7, 2018
September 7, 2018
Article in "New Trail"
Article in "New Trail"
The UofA FoS publication "New Trail Spring" included a short article discussing our work on "Diagnose and Sometime Predict Mental Illness", in their Spring 2018 issue (17 May 2018 )
See page 30-31 in the ISSUU version:
August 31, 2018
August 31, 2018
*image from Folio, May 7, 2018*
Using AI to combat invasive species
Using AI to combat invasive species
I was fortunate to work with Mark Lewis and Yanyu Xiao on a project that showed how AI techniques could help manage invasive species... check out the article
Other articles about this:
The Star: Study shows artificial intelligence can help environmentalists combat invasive species
August 21, 2018
August 21, 2018
Invited Presentation!
Invited Presentation!
I was honored to give a plenary presentation at the Machine Learning for HealthCare conference August 17, 2018, on "Working with Medical Colleagues to Produce Effective Predictor Systems":
September 4, 2018
September 4, 2018
Best Paper (IMIA Yearbook of Medical Informatics)
Best Paper (IMIA Yearbook of Medical Informatics)
IMIA Yearbook of Medical Informatics 2018, named our paper "A DREAM Challenge to Build Prediction Models for Short-Term Discontinuation of Docetaxel in Metastatic Castration-Resistant Prostate Cancer" as one of the three best papers.
See announcement.
This was covered by Global TV, on Oct 30, 2018. Check out NewsReport (Su-Ling Goh).
August 21, 2018
August 21, 2018
"Hello World" ... almost ...
"Hello World" ... almost ...
Back in Oct 2017, I had the pleasure of chatting for over 3 hours with Ashlee Vance, the host of Bloomberg's fascinating "Hello World" video technology travelogue, when they were filming their "Hello World Canada: The Rise of AI" episode.
Great experience, working with professionals -- both interviewer, and camera crew. And even better: One of my animations made the final cut (around 30minutes in), as did my name, at the end.
Check out the pictures!
You can also view older News Items on my previous website
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