Developmental Planning of A Rural Area in China under Conflicting Objectives and Interval Uncertainties

Population growth and economic development exert significant threats on ecological and environmental systems of rural areas in China. Integrated socio-economic and eco-environmental management is desired for addressing these threats, but is challenged by the conflict of multiple developmental objectives and the intervalness of uncertain system characteristics. Therefore, this project aims to provide scientific support for […]

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Marine Technology Research

In this project I will be working with Aalto university’s Marine Technology research group at the Aalto ice tank. The purpose of such an ice tank is to explore the function of arctic marine structures in pack ice conditions. For example, this could include structural testing of oil and gas facilities or model testing of […]

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A New Microfluidic-nanoelectronic Platform for Alzheimer’s Disease

The main objective of this project is developing a novel technology to understand Alzheimer’s disease (AD). The main cause of AD has not been clearly discovered, and therefore the effective treatment to stop the disease has not yet been established. This technology which is an integration of microfluidic, nano-electronics, and optical imaging techniques would provide […]

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Shape deviation quantification and tolerancing for Metal AM

Additive Manufacturing (AM) is a fast growing technology with application areas in automobile, biomedical, and aerospace etc. The technology is moving rapidly from polymers to metal AM due to advantages in terms of shape complexity, and minimum material and energy wastage. The major challenge in Metal AM is the shape deviation modeling, and quantification. Shape […]

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Bench – Scale Approach to Understand the Release of Opportunistic Pathogens from Biofilms in Drinking Water Distribution Systems

Legionella pneumophila is an opportunistic pathogen that affects humans that are immunocompromised. It is the most frequently reported drinking water related disease in the United States. In order to investigate its occurrence and release from pipe walls in the drinking water distribution system, a bench – scale method has been designed. Disinfectants (chlorine) and corrosion […]

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Using deep appearance to extract distinctive features from road users in traffic video

The partner organization, Brisk Synergies, produces software tools for use by Urban Planners in doing traffic monitoring and analysis. Their software detects traffic objects in video, such as cars, trucks, buses, motorcycles, pedestrians and bicyclists. This project aims to enhance Brisk Synergies software by creating deep learning algorithms that can detect and track traffic objects. […]

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Selenium fractionation and speciation in surface mine

This project will deal with the detection, the fractionation and the quantification of selenium in its many forms (elemental form or in the form of selenide (Se2-), selenate (SeO4 2-), or selenite (SeO3 2-)) in mining waters. Dissolved and total recoverable Se will be quantified by inductively coupled plasma mass spectrometry (ICP-MS). Quantitative Se speciation […]

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A cloud-based ecosystem for predictive maintenance and management of shipping container

The shipping container is one of the most important assets of international shipping and global trade. Built to withstand extreme conditions, the quality of these large metallic boxes is often overestimated resulting in the international container fleet being perpetually undermaintained. As trade volumes increase terminal inspectors lave less time to conduct container quality inspections. This […]

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Véhicule industriel électrique et autonome à pile à combustible pour les usines et les entrepôts

La compagnie DIVEL développe et commercialise des plateformes mobiles pour la gestion des entrepôts. Ces plateformes mobiles utilisent en majorité les batteries comme sources d’énergie pour la motricité. Le contexte d’opération typique d’une usine impose des contraintes de temps d’opération qui induit des décharges profondes au détriment de l’efficacité énergétique et la préservation de la […]

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Simulating bead deposition and heat transfer mechanisms for metal based additive manufacturing processes for complex components

Additive manufacturing (AM) is a process family in which layers of material are deposited to create components. It can also be used to repair complex 3D parts. The scope of this research is to establish a process planning framework for metal-based bead deposition processes that considers the various heat cycling, materials, and process parameters. The […]

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Predicting In-patient Discharges to Identify Bed Availability for Housekeeping During Emergency Department Surge Using Machine Learning Algorithms

Prolonged patient waiting times for an inpatient bed in the Emergency Department (ED) is considered a global crisis and most cited reason for the ED crowding. Inability to move admitted patients from the ED to an inpatient bed due to capacity shortage and inefficiencies in patient-flow affects patient care and patient experiences. Housekeeping is crucial […]

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