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Su Nguyen
Senior Lecturer in AI and Analytics
Su Nguyen is a Senior Lecturer in AI and Analytics at RMIT University in Australia. He specializes in research that intersects artificial intelligence, analytics, and operations research, focusing on sustainable and safe solutions in these fields. Su Nguyen holds a Ph.D. in Artificial Intelligence and Operations Research, which underpins his academic and research activities.1234
In his role at RMIT, he is involved in both teaching and research, contributing to the academic community through various projects and publications. His expertise includes business optimization, data analytics, and simulation, and he has garnered significant recognition in his field, with numerous citations for his work.5
Highlights
A big thank you to everyone who attended our virtual lunch-and-learn session on AI in the Workplace! It was a pleasure to explore the transformative role of artificial intelligence in today’s work environments with all of you.
During the session, we discussed the evolution of AI, its practical applications across various workplace scenarios, and how it’s streamlining workflows and enhancing decision-making processes. We also explore the critical aspects of responsible AI use, trust, and the importance of education in embracing these technologies.
Your engagement and insightful questions made the session truly memorable. Let’s continue the conversation on how we can responsibly harness AI to drive innovation in our workspaces.
#AI #ArtificialIntelligence #WorkplaceInnovation #ResponsibleAI #FutureOfWork
I'm thrilled to share that our recent paper, "A hybrid and adaptive evolutionary approach for multitask optimization of post-disaster traveling salesman and repairman problems," has been published in Computers and Operations Research. This research addresses the challenges of route planning and repair scheduling in areas affected by disasters.
🔍 Highlights:
- We have adapted traditional route planning and repair scheduling methods for situations where roads are damaged, and clearing debris adds to travel time.
- Our new method improves the way we explore and refine solutions in these complex scenarios, leading to better and more efficient results.
- This approach significantly improves our ability to handle the complexities of disaster recovery, providing effective solutions that can be used in real-world emergencies.
#Research #DisasterResponse #Operationsreserch #Optimization #EvolutionaryComputation
