Research and teaching interests

My research interests are in the intersection of high-performance computing and graph analytics for real-world applications in Network Science. My laboratory, Inter-Disciplinary Evolving Algorithmic Sciences (IDEAS), applies innovative soft computing techniques such as evolutionary computation, bio-inspired computation and machine learning to solve challenging issues in complex network systems and data scientific problems. I explore novel algorithmic optimization techniques for these problems to efficiently map, design and develop scalable algorithms for futuristic multicore architectures.

My research is supported by the Natural Sciences and Engineering Research Council of Canada, Research Manitoba, MITACS ACCELERATE, MITACS Globalink, NSERC Engage and University of Manitoba local grants such as the Faculty of Science Interdisciplinary grants and the University of Manitoba Research Grants Program.

I have also received the Teaching Recognition Award at the University of Manitoba and am a member and senior member of the ACM and IEEE societies, respectively.