AI research
Celebrating Innovation: Funding Recipients
In addition to funding interdisciplinary research, AI2 acts as a network where you can find researchers and centres with similar interests.
Funded research projects
These exceptional projects exemplify interdisciplinary research, drawing on a diverse array of expertise across multiple fields. What sets these projects apart is not just their innovative approaches, but also their alignment with our guiding principles.
Explainable AI for Design of Antimicrobial Peptides
Ré Mansbach, PI; Yiming Xiao, Co-PI; Valerie Booth, Collaborator
The purpose of this project is to increase the credence, reliability, and explicability of DL algorithms to design new antimicrobial peptides.
Explainable Interactive Unsupervised Learning for Smart Buildings
Manar Amayri, PI; Nizar Bouguila, Co-PI
Unlike existing approaches, our goal in this project is to develop unsupervised learning approaches that are explainable by design starting from only unlabeled data.
AI and Machine Learning Models for Omni-Channel Retail Supply Chain Planning
Claudio Contardo, PI; Navneet Vidyarthi, Co-PI
The goal of the proposed project is to develop conceptual frameworks, predictive and prescriptive analytical models, and solution approaches for omni-channel retail supply chains.
Bottom-Up Proptech Auditing in Montreal
Alessandra Renzi, PI; Tamara Vukov’s, Co-PI; Simone Brugiapaglia, Co-PI
We wish to examine the entanglement of the tech boom and the affordability crisis in proptech, through an interdisciplinary lens that combines platform studies, data science and computational mathematics, and critical social theory.
DigitizingWaste (aka OpenWaste): a living lab study on circular economy, IoT, open data, and AI
Ursula Eicker, Ketra Schmitt, Caroline Roux, Faisal Shennib
Digitalization is increasingly cited as a potential solution to waste management, due to its inherent efficiencies and the accelerating potential of AI.
Collaborations with Industry
The Applied AI Institute invites applications to its annual funding program meant to accelerate AI adoption across sectors. The program funds new or on-going applied AI research projects in collaboration with industry or non-profit partners.
Integrating machine learning and optimization to address very-large scale scheduling problems
Claudio Contardo, PI
Industry Partner: UKG
This project aims to leverage past historical data to accelerate the resolution of very-large scale shift scheduling problems arising in retail operations.
Intelligent Document Platform
Tristan Glatard, PI
Industry Partner: Ministère de la Cybersécurité et du numérique du Québec
Develop an intelligent document platform that supports the MCN's document lifecycle to leverage their data.
Reinforce Learning Human Feedback for Auto-Generation of Schematic Floor Plans
Yan Liu, PI
Industry Partner: Maket Technologies
The objective of this research is to design a Reinforce Learning Human Feedback (RLHF) pipeline to generate industry guideline compliant schematic floor plans of functional buildings.
Gaby Says ™
Olivier Charbonneau, PI; Megan Fitzgibbon, Co-PI
Develop an inclusive, ethical and community-driven chatbot to guide members within universities through the vast services, documentation and collections provided by libraries.