Ashkan Ebadi (0000-0002-4542-9105)

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Ashkan Ebadi is a multidisciplinary applied data science researcher with expertise in artificial intelligence (AI), machine learning, deep learning, and graph analytics. He received his Ph.D. in information systems engineering with an emphasis on AI-based decision support systems. He also carried a two-year postdoctoral fellowship in health informatics at the University of Florida (USA). He is currently a senior research officer at the National Research Council Canada (NRC), the government of Canada’s largest research organization, an Adjunct Assistant Professor at the University of Waterloo, an Affiliate Assistant Professor at Concordia University (Canada), and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) organization. Ashkan has intensive academic and industrial experience in the design and implementation of data-driven solutions. His 12+ years of professional industry experience covers the entire life-cycle of the data science pipeline, from (business) problem definition to scalable big data analytics applications. His research aims to leverage advanced analytics and machine learning to solve complex real-life problems in various domains.

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University of Waterloo: Waterloo, Ontario, CA

2021-04-01 to present | Adjunct Assistant Professor (Systems Design Engineering)

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Ashkan Ebadi

https://orcid.org/0000-0002-4542-9105

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Employment (8)

University of Waterloo: Waterloo, Ontario, CA

Concordia University: Montreal, Quebec, CA

National Research Council Canada: Montréal, Québec, CA

Pratt & Whitney: Montréal, Québec, CA

Provalis Research: Montréal, Québec, CA

University of Florida: Gainesville, Florida, US

University of Florida: Gainesville, FL, US

Concordia University: Montreal, QC, CA

Education and qualifications (2)

Concordia University: Montreal, QC, CA

Concordia University: Montreal, QC, CA

Works (29)

Unveiling Weak Signals of Emergence in Underwater Sensing Research Trends

COVID-Net L2C-ULTRA: An Explainable Linear-Convex Ultrasound Augmentation Learning Framework to Improve COVID-19 Assessment and Monitoring

Machine Learning Insights into Hypersonics Research Evolution: A 21st Century Perspective

Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis

Women and key positions in scientific collaboration networks: analyzing central scientists’ profiles in the artificial intelligence ecosystem through a gender lens

COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound

Detecting emerging technologies and their evolution using deep learning and weak signal analysis

Gender-specific patterns in the artificial intelligence scientific ecosystem

Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing

Application of machine learning techniques to assess the trends and alignment of the funded research output

A quest for the structure of intra- and postoperative surgical team networks: does the small-world property evolve over time?

MySurgeryRisk: Development and Validation of a Machine-learning Risk Algorithm for Major Complications and Death After Surgery.

Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome

Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data

Unsupervised Machine Learning Analysis of Urinary Transcriptome Reveals Distinct Genotypic Clustering in Surgical Sepsis

DisTeam: A decision support tool for surgical team selection

Ensemble Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Complex Graph Measures from Diffusion Tensor Images

A hybrid multi-criteria hotel recommender system using explicit and implicit feedbacks

iSEER: an intelligent automatic computer system for scientific evaluation of researchers

How to boost scientific production? A statistical analysis of research funding and other influencing factors

A computer system for automatic evaluation of researchers' performance

How to become an important player in scientific collaboration networks?

How to Receive More Funding for Your Research? Get Connected to the Right People!

A network perspective of academiaindustry nanotechnology collaboration: A comparison of Canada and the United States

On the Relation between the Small World Structure and Scientific Activities

How the Export Volume Is Affected by Determinant Factors in a Developing Country?

Analyzing Scientific Activities of the Top Ten Canadian Universities

Impact of Funding on Scientific Output and Collaboration: A Survey of Literature

Effect of collaboration network structure on knowledge creation and technological performance: the case of biotechnology in Canada

Peer review (9 reviews for 5 publications/grants)