Abstract technology background with blue digital particles

Dr. Apurva Narayan

Leading Research in Intelligent Data Science and Machine Learning

About

Dr. Apurva Narayan leads the IDSL research group. He is an assistant professor in the Department of Computer Science at Western University and affiliate assistant professor in the Department of Computer Science and School of Engineering at the University of British Columbia, as well as an adjunct assistant professor in the Department of Systems Design Engineering at the University of Waterloo (UW).

His research focuses on developing novel machine learning algorithms and data science techniques to solve complex real-world problems. He is particularly interested in the intersection of artificial intelligence, optimization, and their applications in healthcare, climate science, and beyond.

With a passion for both teaching and research, he strives to bridge the gap between theoretical advancements and practical applications, mentoring the next generation of data scientists and AI researchers.

Dr. Apurva Narayan

Education

Doctor of Philosophy (Ph.D.) in Systems Design Engineering

University of Waterloo

2010 - 2014

IEEE • SSI • Student Technology Advisory Committee • VP Communications - Systems Graduate Student Association

BSc Engg in Electrical Engineering

Dayalbagh Educational Institute

2004 - 2008

IEEE • Systems Society of India • Student Co-ordinator - Multimedia Laboratories

Experience

Associate Professor

Western University

Jul 2025 - Present10 months

London, Ontario, Canada

Assistant Professor

Western University

Jul 2022 - Jul 20253 years

London, Ontario, Canada

Affiliate Assistant Professor

The University of British Columbia

Jul 2022 - Present3 yrs 10 mos

BC, Canada

Assistant Professor

The University of British Columbia

Jul 2018 - Jul 20224 years

British Columbia, Canada

Adjunct Assistant Professor

University of Waterloo

Oct 2018 - Present7 yrs 7 mos

Waterloo, Ontario, Canada

Postdoctoral Fellow

University of Waterloo

Dec 2015 - Jun 20182 yrs 6 mos

Waterloo, ON

Research in Artificial Intelligence; Machine Learning & Deep Learning; Theoretical Neuroscience; Stochastic Optimization; Multidisciplinary Design Optimization under Uncertainty; safety-critical real time systems.

Research Focus

Machine Learning

Developing novel algorithms for predictive modeling and pattern recognition.

AI for Social Good

Applying AI to solve pressing societal challenges in healthcare and education.

Data Science

Extracting insights from complex, high-dimensional datasets.