Client Dr. David Joly, Associate Professor, Biology, Université de Moncton ACENET Research Consultant Dr. Serguei Vassiliev Objective Reduce the time involved in processing and analyzing rapidly growing volumes of DNA sequencing data. Challenge While modern sequencers…
Client Dr. Mita Dasog, Associate Professor and Canada Research Chair in Advanced Materials for Water-Energy Nexus, Dalhousie University ACENET Research Consultant Dr. Yashar Monfared Objective This project aimed to use the Finite Element method (FEM) to…
May, 2025 Client Dr. Daniel Tubb, Associate Professor and Chair, Department of Anthropology, University of New Brunswick ACENET Research Consultant Dr. Serguei Vassiliev Objective The objective of the project was to create a modular AI workflow…
May, 2025 Client Dr. Terrence Tricco, Associate Professor, Computer Science, Memorial University Research Consultant Dr. Chris Geroux Objective The project’s goal was to optimize the Message Passing Interface (MPI) parallelization to enable scaling on distributed-memory architectures…
Dr. Lelievre uses geophysical imaging to understand how water moves through flood infrastructure, helping New Brunswick prepare for climate change. His research utilizes advanced computing and data processing techniques.
Dr. Erin Johnson won the Steacie Prize thanks to ACENET’s high-performance computing. Her research uses advanced modeling to predict molecular interactions, impacting fields like pharmaceutical development and materials science.
Shah Razul researches water’s behavior at freezing temperatures to prevent cell damage. His work could improve cryopreservation of tissues and organs, and even food storage techniques.
Researchers are using computational quantum chemistry to explore why nature chose DNA as the carrier of genetic information. The work could also lead to new drug discoveries for diseases like Alzheimer's and cancer.
Trishla Shah transforms raw data into actionable insights for diverse projects, from water safety to mental health treatment. Her work helps organizations and businesses make informed decisions using data analysis and AI.
Researchers at the University of Moncton are using AI and ACENET’s supercomputers to improve human-system interaction. Projects include speech assistance for stroke patients and intelligent automation for industrial robots.
