Dilution prediction and reduction in underground mines based on stoping methods using artificial intelligence

Given that dilution is a problem that reduces the profit of many underground operations, the dilution monitoring, prediction, and reduction convey the capability to increase operational efficiency. The proposed research aims to develop an unplanned dilution monitoring, prediction, and reduction tool. The research methodology will be based on artificial intelligence (AI)-based models. More specifically, the […]

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False Data Injection Attacks Targeting Power System Generation Control/Scheduling and Their Mitigations

Electric power systems are subject to cyberattacks. In this project, we intend to investigate false data injection attacks (FDIAs) targeting the automatic generation control (AGC) and the economic dispatch (ED) of electric power systems. Such a class of attacks may significantly affect the system frequency stability and result in huge economic loss and even catastrophic […]

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Automation of multi-factorial neurodevelopmental toxicity and neurodegeneration analysis using Ananda Devices NeuroHTSTM plates

Ananda Devices has developed an innovative technology to produce high-throughput organ-on-chip technology for commercialization in the pharma industry and cosmetic industry. For cost effective and fast commercializing the device, semi automation/automation is required for the high throughput data analysis. Further validation of the automation algorithm is required for data accuracy. So, our aim is to […]

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Secure Communication Based on Public Key Distribution with Imbalanced Twin-Field-QKD-like Infrastructure in Classical Coherent Optical Fiber Network

In quantum key distribution (QKD), the twin-field has been proposed as a means to overcome the linear key rate bound, and hence the key generation rate, as well as to enable repeaterless QKD transmission. Despite significant progress in TF-QKD and its variations in recent times, the key rates are still significantly low compared to practical […]

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Characterizing the genetic architecture of agronomic and quality traits, and deleterious mutations in common bean (Phaseolus vulgaris L.)

Common bean is a promising commodity to ensure food security and increase diet quality due to its high content of protein, minerals, and vitamins. To contribute to the increase of the genetic gain in breeding programs for agronomic and quality traits, the project aims to study the genetic architecture of agronomic and quality traits, and […]

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Implementing Instrumental and Observational Effects in 21cm Simulations

Cosmic Dawn (CD) is the period in our Universe’s history when first-generation stars and galaxies were formed. Despite its importance, we have yet to directly observe this period. Next-generation radio telescopes promise to change this by utilizing a technique known as 21cm tomography. The current state-of-the-art software package for making theoretical predictions in 21cm tomography […]

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Séjour de rédaction et de recherche auprès de Stéphane Chaudier

Mon séjour de recherche s’organise autour de ma thèse de doctorat, en cours de rédaction, qui interroge l’oeuvre de l’écrivain français Pierre Michon en tant que fabrique de la transcendance, dans le rapport qu’entretient cette transcendance avec l’art du XIXe siècle. Le premier volet du séjour sera consacré à la rédaction de mon deuxième chapitre […]

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Interactions of mesoscale eddies and sea ice

Fundamental questions remain on how polar oceans will respond to climate change and how rapidly changes will occur. Based on observations made from satellite, there is growing evidence that ocean and sea ice interact at scales on the order of a few tens of kilometers, the mesoscale. However, it is not clear how exactly the […]

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AerOsol-Cloud Interactions: the Role of orgAnic compounds and particle Size in CLoud droplEt activation (ORASCLE)

Aerosol particles and their interactions with clouds are one of the largest sources of uncertainty in global climate change. Many aerosols that activate into cloud droplets form from gas-phase reactions of semi-volatile organic compounds (SVOCs). Surfactants are a special class of compounds in aerosol particles which partition to the surface of a particle or an […]

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Hydrogen-bonding naphthalene diimide (NDI) based cathode interlayer for high performance organic solar cells

Considering the continually growing energy demands and concerns about climate change due to anthropogenic CO2 generated from fossil fuels, there has been a global endeavor to transition towards low-carbon renewable energy sources, particularly photovoltaic technologies. Organic solar cells (OSCs) are ideal candidates for low-cost PV technologies thanks to the possibility of large-scale device fabrication by […]

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