Waterloo AI and WIN Joint Workshop on “Artificial Intelligence for Science & Engineering”

Tuesday, January 18, 2022 8:45 am - Thursday, January 20, 2022 2:30 pm EST (GMT -05:00)

people in a workshop a view of the back of their heads

Waterloo.AI and Waterloo Institute for Nanotechnology (WIN) are co-hosting an “AI for Science & Engineering Workshop” with over 20 speakers sharing highlights on how they are using AI to generate new insights for potential breakthroughs. The talks will range from new materials discovery at micro and nano-scale, unconventional computing and quantum computers to applications for environment, water, biosensors and biomedical. The event will be three half-days with all the sessions recorded and shared thereafter on Waterloo.AI and WIN websites.

DATES & TIMES:
Day 1: Tuesday, January 18th | 8:45 AM - 12:40 PM
Day 2: Wednesday, January 19th | 9:00 AM - 12:00 PM
Day 3: Thursday, January 20th | 10:00 AM - 2:30 PM

Agenda

Day 1: Tuesday, January 18, 2022

  • Opening Remarks and Welcome | 8:45 - 9:00am
  • Keynote Industry Speaker 1 - Jill Becker, Kebotix Inc | 9:00 - 9:45am

Technical Talk Session 1: AI for Security and Public Health Monitoring

  • Monitoring of Frail Subjects for Risk Situation Detection with AI Tools - Jenny Benois-Pineau, University of Bordeaux | 9:45 -€“ 10:05am
  • ML models for distance optimization for infectious disease-tracing (including Covid-19) using Bluetooth enabled device - Patricia Nieva or William Mallek | 10:05 - 10:25am
  • Data and Knowledge Integration for Digital Public Health - Gayo Diallo, University of Bordeaux | 10:25 -€“ 10:45am


Technical Talks Session 2: AI for New Materials Discovery

  • AI -€“ a potentially powerful tool for nano-material characterization -€“ Peyton Shi | 10:45 - 11:05am
  • Empowering Spectroscopic Analysis Using the Interpretive Capabilities of ML -€“ Rod Smith | 11:05 - 11:20am
  • ML molecular properties from mass spectrometry data - Scott Hopkins | 11:20 - 11:40am
  • Break | 11:40am -€“ 12:20pm
  • Machine Learning Assisted Design and Development of High-entropy Alloys - Stephane Gorsse, University of Bordeaux | 12:20 -€“ 12:40pm
  • DIADEM Project: Towards AI in Materials Science -€“ Mario Maglione, University of Bordeaux | 12:40 -€“ 1:00pm

Day 2: Wednesday, January 19, 2022

  • Keynote Speaker 2 - Sylvain Saïghi, University of Bordeaux | 9:00 – 9:45am

Technical Talks Session 3: AI for Medical Applications and Diagnoses

  • AI for biomedical data - Mohammad Kohandel | 9:45 –€“ 10:05am
  • Using AI to enable the eye as a window on neurodegenerative diseases of the brain - Melanie Campbell | 10:05 -€“ 10:25am
  • Test tube evolution of DNA aptamers as biosensors - Juewen Liu | 10:25 - 10:45am
  • Break | 10:45 -€“ 11:00am


Technical Talks Session 4: AI for Water Quality and Environment

  • Deep learning for automatic microplastic recognition in water via FT-IR Spectroscopy - Frank Zhu | 11:00 -€“ 11:20am
  • Applications of Artificial Intelligence (and related topics) in Micro and Nano for Water and Health (pre-recorded) -€“ Vassili Karanassios | 11:20 -€“ 11:40am
  • Predictive capability of water quality monitoring sensors: Need for machine learning - Sushanta Mitra | 11:40am -€“ 12:00pm

Day 3: Thursday, January 20, 2022

  • Keynote Speaker 3 -€“ Wilfred van der Wiel, NanoElectronics Group, Director BRAINS Centre for Brain-Inspired Nano Systems | 10:00 -€“ 10:45am


Technical Talks Session 5: AI for Improved Manufacturing and Industry Applications

  • Boosting Manufacturing through Virtualization and Intelligence -€“ Kaan Erkorkmaz | 10:45 - 11:05am
  • ML tools for predicting maintenance requirements on a distant remote-controlled facility -€“ Michel Fich | 11:05 - 11:25am
  • Dynamic Latent Variable Analytics for Inferential Sensor Modeling and Supervised Monitoring - Qinqin Zhu | 11:25 -€“ 11:45am
  • AI for Critical Systems: Progresses and Limits - Laurent Simon, University of Bordeaux | 11:45am - 12:05pm
  • Break for lunch | 12:05 - 1:00pm


Technical Talks Session 6: Foundational AI

  • Logic Guided Machine Learning -€“ Vijay Ganesh | 1:00 -€“ 1:20pm
  • AI-powered Radar Sensing - George Shaker | 1:20 -€“ 1:40pm
  • Generative models and quantum computers - Roger Melko | 1:40 -€“ 2:00pm
  • Brain Inspired Computing for Artificial Intelligence - Yimin Wu | 2:00 -€“ 2:20pm
  • Closing remarks and next steps | 2:20 - 2:30pm