William Aiken

Research Assistant, PhD Candidate University of Ottawa

William is a driven practitioner and researcher of artificial intelligence and computer security with a vocation in merging the fields of manufacturing, cybersecurity, deep learning, and augmented reality. He enjoys learning both human and computer languages, and always appreciates a good challenge. Theses:

“Neural Network Laundering: Removing Black-box Watermarks from Deep Neural Networks”
Master’s degree thesis in Electrical and Computer Engineering
Sungkyunkwan University, Spring 2019 “On Cloud Security and Usability: How Do We Make Security Usable?”
BA degree thesis in Security and Risk Analysis with honors in Information Sciences and Technology
The Pennsylvania State University, Schreyer Honors College, Fall 2015

Main Conference Day 1 - October 8, 2025

11:20 AM Panel Discussion: Using AI to Reduce Energy Usage and Emissions Output through Effective Continuous Monitoring and Predictive Maintenance

Generative AI (Gen AI) and multimodal AI have the potential to significantly reduce emissions and drive the efficiency of operational maintenance. This session will explore how to leverage AI to gain precise insights from continuous monitoring and drive quality inspections.

How combining multimodal AI with Gen AI can deliver real-time insights from continuous monitoring
Using heat maps to spot unnecessary energy usage and speed up necessary maintenance
Using insights from continuous monitoring to automate inspections, reduce downtime and ultimately reduce emissions outputs

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Telephone: +1 813-658-2511
Email: enquire@iqpc.co.uk