Waterloo Engineering research in the news
Researchers boost business with smart industrial planning tech
Waterloo Engineering researchers have designed smart technology to help industries navigate geopolitical uncertainty, inflation and supply chain issues.
Led by Dr. Luis Ricardez-Sandoval, a professor in the Department of Chemical Engineering, the team has harnessed machine learning (ML) to improve industrial production scheduling. This ability to improve planning helps manufacturers withstand unpredictable market conditions more effectively.
New O’Donovan Chairs to lead AI research in trust and safety
Two Waterloo Engineering faculty members have been appointed to updated Val O’Donovan Chair positions that reflect the Faculty’s strategic focus on advancing artificial intelligence through ethical research, interdisciplinary collaboration and student engagement.
Starting September 1, Dr. Amir-Hossein Karimi will hold the O’Donovan Chair in Trustworthy AI, while Dr. Sirisha Rambhatla will hold the O’Donovan Chair in Efficient, Safe and Adaptive AI.
Explore AI & Data research labs and centres
- Advanced Interface Design Lab (AIDL)
- Automation and Intelligent Systems (AIS) Group
- Autonomous Systems Laboratory (ASL)
- Bio-Robotics, Artificial Intelligence and Neuroscience (BRAIN) Lab
- Centre for Pattern Analysis and Machine Intelligence (CPAMI)
- Centre for Theoretical Neuroscience (CTN)
- Collaborative Human-AI Reasoning Machines (CHARM) Lab
- Computational Neuroscience Research Group (CNRG)
- Computer Vision for Smart Structure (CViSS) Lab
- Data Science Lab
- Design Optimization under Uncertainty Group (DOUG)
- Ecological and Resilient Autonomous roBots Lab (ERABLab)
- Environmental Modelling and Analysis Group
- Health AI and Analytics Lab
- Motion Research Group
- Multi-Physics Interaction Lab (MPILAB)
- Neural and Rehabilitation Engineering (NRE) Lab
- Robotic Interaction, Perception and Learning (RIPL) Lab
- Social and Human-centred AI for Reimagined Engagement (SHARE) Lab
- Vision and Image Processing Lab (VIP)
- Waterloo Analytics and Optimization Lab (WANOPT)
- Waterloo Data and Artificial Intelligence Institute (Waterloo.AI)
Meet our researchers and discover their areas of expertise
AI + Data
Research at the intersection of artificial intelligence and data, focusing on developing algorithms, models, and systems that extract insights and make predictions from large, complex datasets.
Autonomous Agents
Systems or machines capable of making independent decisions and actions in dynamic environments, often using AI, robotics, and control theory.
Big Data
Management, analysis, and visualization of massive datasets requiring advanced computational and storage techniques.
Business Analytics
Application of data analysis, statistical methods, and optimization techniques to improve business decision-making and operations.
Cybersecurity
Protecting systems, networks, and data from digital attacks, unauthorized access, and security vulnerabilities.
Data Analytics
Techniques and tools for analyzing data to support decision-making and extract actionable insights.
Deep Learning
A subfield of machine learning that uses neural networks with many layers to learn complex patterns in data.
Human-Machine Interface
Design and evaluation of systems that allow effective interaction between humans and machines.
Informed Decision-Making
Research that supports structured, data-driven decision-making in uncertain or complex environments.
Intelligent Systems
Research on systems that can perceive, learn, reason, and act intelligently in complex environments.
Internet of Things (IoT)
Networked systems of physical devices embedded with sensors and software to collect, exchange, and act on data.
Logistics and Distribution
Research on managing and optimizing supply chains, transport, and distribution networks.
Medical Imaging and Image Processing
Research on techniques and systems for capturing, processing, and analyzing medical and engineering images.
Modelling
Building computational, physical, or mathematical representations of systems to study their behavior and optimize performance.
Optimization
Developing mathematical methods and algorithms to maximize efficiency, minimize cost, or improve performance.
Pattern Recognition and Machine Learning
Research on algorithms and models that recognize patterns in data, enabling prediction, classification, and decision-making.
Predictive Analytics and Trend Detection
Predictive analytics uses historical data, statistical models, and machine learning to forecast future outcomes, while trend detection identifies emerging patterns, enabling proactive decisions and strategic planning across various domains today.
- Alana Lund
- Christian Bachmann
- Claudio Canizares
- Costa Kapsis
- Elliot Biro
- Fatih Safa Erenay
- Houra Mahmoudzadeh
- Jangho Yang
- Kumaraswamy Ponnambalam
- Mihaela Vlasea
- Muhammad Umair Shah
- Naveen Chandrashekar
- Rodrigo Costa
Reasoning with Uncertainty
Methods for making reliable decisions under uncertain, incomplete, or probabilistic information.
Social Impact and Ethics
Social impacts and ethics in AI and data involve ensuring fairness, privacy, transparency, accountability, and preventing bias or misuse, promoting trust, equity, and responsible technological development for society’s benefit.
Software
Research in software engineering, development, programming languages, verification, and systems.
