Timing Travel with Precision
Davod Hosseini uses operations research to optimize transportation, from delivery routes for companies like Amazon to safer hazmat transport. His work balances efficiency, risk, and real-world constraints.
Davod Hosseini uses operations research to optimize transportation, from delivery routes for companies like Amazon to safer hazmat transport. His work balances efficiency, risk, and real-world constraints.
Memorial University geophysicist Colin Farquharson uses ACENET to analyze data and determine the depth of mineral deposits—or water sources—without costly digging. His work aids mining and resource exploration.
Zoë Migicovsky uses genetic data and computational resources to help apple breeders predict fruit traits—like ripeness and aroma—years before harvest. This accelerates development and reduces waste.
Kush Bubbar’s Sys-MoDEL lab uses ACENET’s supercomputing power to optimize renewable energy integration and power system planning with partners like NB Power and Sapphire Energy. Their work focuses on improving efficiency and reliability.
Rita Orji designs persuasive technologies to promote social good, focusing on mental and physical wellness. Her apps use AI and VR to encourage positive behavioral changes and improve user engagement.
UPEI student Matthew Kozma set a Canadian record for compute-cycle use, surpassing even graduate-level researchers. His simulations, totaling over 30 million CPU hours, advanced nanotechnology research focused on DNA manipulation.
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.
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.
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.