Analytics and Digital Technologies

Championing AI for social justice

MLR7 — Tue, 19 May 2020 06:36:26 +0000

��˴�Ƭ University researchers Samuel Dahan and Xiaodan Zhu are using AI to level the legal playing field for Canadians, including those affected by COVID-19 unemployment.

Queen’s Centre for Security and Privacy

kvd1 — Tue, 21 May 2024 15:27:30 +0000

Scotiabank Centre for Customer Analytics

kvd1 — Fri, 09 Jul 2021 19:06:00 +0000

Fixing financial fairy tales – The rise of sustainable finance in Canada

kvd1 — Mon, 14 Sep 2020 19:33:12 +0000

The Institute for Sustainable Finance based at ��˴�Ƭ Smith School of Business is dedicated to exploring how the many different ways in which we spend money might be adapted to reflect the principles of sustainability.

Canada has the financial expertise to make sustainable finance a reality as we shape the future post COVID-19 | #QueensuResearch

Ning Lu

kvd1 — Tue, 25 Aug 2020 18:09:25 +0000

Managing the Internet of Things

The Internet of Things (IoT) is an emerging network paradigm connecting billions of wireless devices. Proper network resource management will play a critical role in reaping the benefits of this emerging technology for our communications future. But, first, fundamental approaches must provide solutions for intricacies such as imperfect wireless communications, complex network dynamics, complexity of distributed computation, and stringent application-specific Quality of Service requirements as society evolves its dependence on telecommunications.

Amber Simpson

kvd1 — Tue, 25 Aug 2020 18:02:02 +0000

Moving Towards Precision Medicine

How can we harness the power of artificial intelligence and machine learning to identify tailored treatments for patients with cancer? Dr. Amber Simpson, Canada Research Chair in Biomedical Computing and Informatics, seeks to transform how clinicians treat patients with cancer using a data-driven approach. By defining relevant biomarkers to guide targeted treatments, and ultimately improve human health, she will move the field from the “treat everyone to help a few” paradigm towards precision medicine.

The coronavirus pandemic highlights the need for a surveillance debate beyond ‘privacy’

kvd1 — Wed, 12 Aug 2020 17:25:53 +0000

Confronting COVID-19

Tags:

surveillance

COVID-19

Coronavirus

policy

Capturing the Art of Research: Celebrating the 2020 prize recipients

MLR7 — Mon, 06 Jul 2020 13:52:42 +0000

The Queen’s Art of Research photo contest celebrates its fifth year, with the selection of ten stunning winning images.

Explore photos from ��˴�Ƭ researchers with the Art of Research as they take you behind-the-scenes of their #QueensuResearch

Researchers at Offroad Robotics

kvd1 — Thu, 11 Jun 2020 20:30:45 +0000

Heshan Fernando

A group of multidisciplinary engineering researchers with expertise in mining and construction applications, mechanical and mechatronics systems, as well as electrical and computer engineering collaborate to develop the next generation of field and mobile robots.

Location of photograph:

Jackson Hall, Queen’s University

Prize name:

Community Collaborations

Submission Year:

2019-20

Staying safe in the new digital world

kvd1 — Mon, 04 May 2020 04:14:00 +0000

With a large percentage of the population in isolation in an effort to stop the spread of the novel coronavirus, attention has turned to technology. Those working from home are relying on digital tools now more than ever to collaborative with colleagues and keep in touch with family and friends. Importantly, children and young people are also using technology to keep up with their schoolwork and connect with friends.

Confronting COVID-19

Tags:

Institute for Sustainable Finance

kvd1 — Wed, 11 Dec 2019 19:27:42 +0000

Teaching Language to Computers

kvd1 — Wed, 11 Dec 2019 15:25:19 +0000

Dr. Xiaodan Zhu is an assistant professor in the Department of Electrical and Computer Engineering at Queen’s, where he leads the Text Analytics and Machine Learning Lab (TAML). He is also a member of ��˴�Ƭ Ingenuity Labs Research Institute and is an affiliated expert with Queen’s Conflict Analytics Lab. He is associate editor of the journal Computational Intelligence and serves as the program co-chair of the 33rd Canadian Conference on Artificial Intelligence.

Helping Robots Learn to Walk

kvd1 — Wed, 11 Dec 2019 15:12:03 +0000

Dr. Amy Wu is an assistant professor in the Department of Mechanical and Materials Engineering in the Faculty of Engineering and Applied Science at Queen’s University. She leads the Biomechanics x Robotics Laboratory (BxRL) and is a member of the Queen’s Ingenuity Labs Research Institute. Her research interests include mechatronics, human biomechanics, and wearable and assistive devices. One of Dr.

E-tattoos and Healthcare: Nano Materials for Superior Wearable Tech

kvd1 — Wed, 27 Nov 2019 21:21:30 +0000

Dr. Shideh Kabiri Ameri is an assistant professor in the Department of Electrical and Computer Engineering in the Faculty of Engineering and Applied Science at Queen’s University. Her research focuses on 2D material-based electronic devices and their applications in wearables, bioelectronics, human machine interface, electronic tattoos, internet of things, and mobile healthcare. She leads the Ameri Nano Research Group interested in looking for innovative and novel solutions for technological challenges by applying nano-sciences to Engineering. In 2017, Dr.

Algorithms and Precedent: How AI Can Provide Open-Access Legal Resources

kvd1 — Wed, 13 Nov 2019 20:52:46 +0000

Dr. Samuel Dahan is an assistant professor in the Faculty of Law and a Queen’s National Scholar. He is the director of the Conflict Analytics Lab at Queen’s University, a LegalTech global consortium on the application of data analytics and AI to dispute resolution and negotiation. Dr. Dahan has worked as a legal secretary to the Court of Justice of the European Union and as a legal advisor for the Comparative Law Unit of the French Administrative Supreme Court. His research focuses on regulatory responses to the euro crisis from an empirical data perspective.