Oportunidades Públicas

Mobile Virtual Reality Framework

Research aiming to identify advantages and disadvantages of various VR (Virtual Reality) Frameworks that allow to develop applications VR for mobile environments (e.g. Android based). The student will perform a research work of the different proposals of VR Frameworks and develop an application VR applied to a particular scenario. For the development of the project, the student has devices, Wireless, and Mobile VR Headset and access to the software for VR development.

Development of mechanical systems of the solar vehicle

Design, calculation and manufacturing of mechanical components of a solar vehicle.
Key words: V-Solar
Course: ICM2985

Mecanismos moleculares de utilización de oligosacáridos de leche materna

Mecanismo molecular de utilización de oligosacáridos de leche materna por Bifidobacterium longum SC664. Clonación de genes candidatos y expresión de proteínas. Purificación y ensayos enzimáticos. Curvas de crecimiento y cuantificación del consumo de azúcares por TLC.

Marine Robotics Systems -- 5CR

Several opportunities to work in a interdisciplinary team on projects related to modeling, mechanical design, electronics, control and programming of marine robotic systems. This 5 credit version is for a limited work supporting larger projects.

Development of sustainable systems for grey water reuse

theoretical and practical research work to develop innovative treatment systems of grey water.

Increased evaporation due to advection of dry air

Investigating the "oasis effect" which can increase the evaporation rates in bodies of water that are located in areas hyper-arid.

Finite element methods for problems of hyperbolic

Finite element methods for problems of hyperbolic

Evidence-based Policy and Innovation Research Lab

Contact professor

The green tax on vehicles. Does it work?

Every new car that is sold in Chile must pay a tax to the “green” that depends on their emissions of NOx and CO2 (the exact amount for each vehicle can be calculated in https://www4.sii.cl/calcImpVehiculoNuevoInternet/internet.html ) . Although the origin of this tax is the levy (it was part of the Tax Reform of 2014 to fund free university), can have a positive environmental impact. This research aims to estimate the effect of this tax on the emissions of the new car fleet. What has changed the average emission of the fleet? That is to say do You sell cars more clean today than yesterday? The brands are ahead of the compliance with future standards for their models to pay less tax?
All of these questions are very important to assess the impact of the tax, and to assess its performance as an instrument of environmental regulation.

Assembly and measurement of synthetic gene circuits

Construct DNAs using techniques from molecular biology and then measure their output in growing cell cultures.

Reconstruction of incomplete images

The images submuestreadas are a way to increase the speed of acquisition for the magnetic resonance imaging. In this project we will study different spaces in which they can represent the data in a manner to facilitate its reconstruction by employing algorithms of Compressed Sensing.

Quantification of remodeling in patients with tetralogy of Fallot

1 in 2000 kids are born with tetralogy of Fallot, a combination of 4 serious congenital heart defects. To overcome these problems, the patient undergoes a series of surgeries and the heart responds by remodeling, adapting its form and function. However, the way this adaptation occurs is not fully characterized. The goal of this study is to locally quantify the remodeling of the heart in response to these surgeries. We will magnetic resonance images and the finite element method. This research will enable the development of predictive models to help the planning and optimization of the current surgeries.

Size and scale of volcanoes in different environments of the cortex

This project will use data from a database data of morphometry of volcanoes (i.e., Grosse et al., 2008) to understand the distribution of the size and scale of the volcanoes. The student will perform statistical analysis and thermodynamic

Magnetic Resonance Imaging Acquisition and Reconstruction

Mining - Applied Research using mining software

High-order boundary integral equation methods for Stokes flow problems

I invite applications of highly motivated undergraduate students to pursue research on novel boundary integral equation methods for the solution of Stokes flow problems with applications in biology. Successful candidates are expected to have basic knowledge in the following areas: fluid mechanics, scientific computing, and programming in Matlab, Julia, or Python.

Biodesign: Research in engineering design for health

Biomass transformation

By means of using MOF-type catalysts, biomass will be transformed into value-added products, for which various chemical processes will be carried out, in which the obtained products can be characterized.

Virtual Biopsy with Cardiac Magnetic Resonance Fingerprinting and Deep Learning

Magnetic Resonance Imaging (MRI) is a powerful non-invasive medical image tool which is used for the diagnosis and treatment follow up of several diseases. MR Fingerprinting (MRF) has been recently proposed to characterize multiple tissue parameters in a single time-efficient scan, so these parameters can be used by clinicians as a “virtual biopsy”. MRF relies on: 1) MRI physics-based sequence design, 2) dictionary generation to describe the MRI signal evolution, 3) reconstruction from undersampled data as an inverse problem, and 4) pattern matching between the fingerprints and the measured signal. Additionally motion correction techniques are required in the case of imaging the heart, due to cardiac and respiration motion. This research includes the development of novel MR sequences, undersampled reconstruction techniques, motion compensation and deep learning approaches for the different steps of cardiac MRF. Depending on the project it would be useful to know about the fundamentals of MRI, optimization or AI.

Radiomics and Deep Learning solutions for Cardiac Magnetic Resonance Imaging (MRI)

MRI is an important tool for the diagnosis of many cardiovascular diseases. MRI can measure physical properties of tissue and therefore objectively characterize disease. However, diagnosis of some pathologies can be challenging due to the difficulty in detecting heterogenous patterns in the myocardial tissue. Radiomics is an emerging field that promises to increase diagnostic accuracy for many diseases. Radiomics analysis relies on the concept that medical images contain information (hidden to the “naked eye”) that reflects underlying disease-specific processes and that these relationships can be revealed via quantitative analysis of mineable high-dimensional data. Analogously, deep learning models can be developed to similar effect; e.g. by training disease classifiers. This research includes the implementation and validation of both radiomics and deep learning approaches to characterize myocardial tissue from MRI of patients with cardiac disease. The research is developed in collaboration with King’s College London. It would be useful to know about the fundamentals of AI.

Deep learning based super resolution reconstruction for high resolution coronary magnetic resonance angiography

Coronary artery disease is currently diagnosed with X-ray or computed tomography coronary angiography (CTCA). However, both modalities expose patients to ionising radiation and iodinated contrast agents (CA). We have developed an alternative approach, coronary magnetic resonance angiography (CMRA), which is non-invasive, does not require the injection of CA and is free of radiation. Our 3D CMRA technique is approaching the resolution of CTCA but still requires a 10-minute scan. To further shorten the scan time to <1 minute and match the resolution of CTCA (0.6mm3), we propose to investigate novel deep learning based super resolution (SR) image reconstruction networks. The work will include a systematic literature review and the implementation of the most promising SR networks. We have a large clinical dataset of CMRA/CTCA data that can be used for training, testing and validation. It would be useful to know about the fundamentals of artificial intelligence.

Acquisition, reconstruction and motion correction for 3D whole-heart Magnetic Resonance Imaging

Magnetic Resonance Imaging (MRI) is an important non-invasive tool for risk assessment and treatment monitoring of cardiovascular disease. In comparison to other imaging modalities (ultrasound, x-ray and computed tomography) MRI has the advantage of combining excellent soft tissue contrast with high spatial resolution. However, a major limitation of current MRI protocols is that all imaging sequences are acquired sequentially, with different resolution, geometric orientations and breath-hold positions, resulting in long planning and scan times. Moreover, image quality degradation due to respiratory and cardiac motion are major challenges that greatly affect the accuracy and reproducibility of cardiac MRI. This research includes the development of novel whole-heart 3D MRI sequences, motion compensation techniques and deep learning methods to enable 3D, easy-to-plan, fast and efficient quantitative multi-parametric MRI of heart and vessels. The research is done together with King’s College London. Basic knowledge of MRI, signal processing and artificial intelligence would be useful.

Deep-learning based Motion Estimation from Cardiac Cine Magnetic Resonance Imaging (MRI)

MRI is a fundamental tool for the diagnosis of cardiovascular diseases. Cine (dynamic) images of the heart are acquired to visualize and quantify the motion of the heart through the cardiac cycle, since wall motion abnormalities can be related to various cardiac diseases. Several approaches have been recently proposed to estimate the non-rigid motion of the heart using deep learning models. This work will involve performing a systematic literature review and implementing, comparing and/or extending the most promising models. We have clinical data that can be used for training, testing and validation.

Off-resonance correction for Echo Planar Imaging

Software development for Open Source Hardware documentation formats

This is a paid position for an open software development project to further develop the DocuBricks (https://docubricks.com/software.jsp) documentation editor and and standard format, specialised for Open Hardware instrumentation in science laboratories. The development includes developing a JS editor to work in the Eletron framework; to create a conversion tool between GitBuilding (https://gitbuilding.io/) and DocuBricks; as well as a GitHub resource development. https://forum.openhardware.science/t/software-for-making-assembly-manuals/2970/20?u=tobey

Processing Magnetic Resonance Images of patients with Multiple Sclerosis

Microstructuring of transparent electrodes of Organic Solar Cells on Flexible substrate

Spatiotemporal patterns in ambient air pollution

Ambient air pollution has been analyzed by means of pattern recognition algorithms. Results from different algortihms and input parameters will be compared to establish sensitivity of output results to those different input options. As benchmark, known results from air quality modeling will be used for ambient PM2.5 and PM10 in several cities in Chile.

The R software environment will be used in teh analyses.

Deep Learning-Based Image Processing for Osteoarticular Diseases

The objective of the work and research is to develop new methods of deep learning-based knee magnetic resonance imaging segmentation and analysis to aid in early diagnosis, kinesiological prevention, regeneration monitoring and rehabilitation of osteoarticular diseases. The research is part of the IMPACT Basal Center and associated remuneration options are available.

Intelligent Healthcare Engineering- iHEALTH

Healthcare, and medical imaging in particular, is under big pressure due to rising costs, shortage of highly trained staff, inefficient early diagnosis, and limited access. The mission of the Millenium Institute for Intelligent Healthcare Engineering – iHEALTH- is to develop innovative methods that integrate medical imaging physics, engineering, and artificial intelligence to improve medical imaging-based healthcare by making it more accurate, efficient, and effective, and in the long term, more affordable and accessible to all Chileans. In this context there are different interdisciplinary undergraduate research opportunities, most of them paid, with iHEALTH professors, whose list and research areas are available: https://i-health.cl/es/researchers-and-staff/.

Millenium Institute iHEALTH

The mission of the Millenium Institute for Intelligent Healthcare Engineering – iHEALTH- is to develop innovative methods that integrate medical imaging physics, engineering, and artificial intelligence to improve medical imaging-based healthcare by making it more accurate, efficient, and effective, and in the long term, more affordable and accessible to all Chileans. In this context there are different interdisciplinary undergraduate research opportunities, most of them paid, with iHEALTH professors, whose list and research areas are available: https://i-health.cl/es/researchers-and-staff/. Being part of iHEALTH involves working with a large group of researchers, participating in a series of seminars, workshops on different skills, etc.

Development of MATLAB code for Multiphysics and Multiflow 2D simulation

Using MATLAB and what has been learned in the ICM3800 SND course, the development of a code that simultaneously solves the energy (Fourier), fluid (Navier Stokes) and elasticity (Hooke-Cauchy) equations in a 2D domain should continue. considering at least 2 phases of the same substance or of different substances. The monitoring of the boundary between phases, the pressure and velocity fields must be plotted and analyzed. As an example, we will try to simulate the melting of a candle.

Simulink modelling of a reversible solid oxide cell process plant

Reversible solid oxide cells (rSOCs) are electrochemical reactors that combine in one reactor both modes of operation as a fuel cell or electrolyser to produce electrical energy or hydrogen, respectively. These cells have great potential as a renewable energy storage technology. The objective of this research line is to study and optimise the operation of an rSOC plant by modelling the different process units and their integration. The activities to be carried out are:

● Literature review on fuel cells and high-temperature electrolysers in rSOC to define the different units and mathematical models to be considered in an rSOC plant.
One of the following:
● Implement heat exchangers and compressible flow submodels in MATLAB/Simulink.
● Implement an electrochemical cell model as a Simulink S-function.

Learning from data: using real-time data to create context and support decisions in offsite construction

Offsite construction is a disruptive strategy where buildings are manufactured in factories and shipped to its destination at a superior quality and shorter schedules. Current design and manufacturing phases generates a significant volume of data from different sources that, if properly combined, presents a great opportunity to identify meaningful insights and improvements for future operations . Hence, this research proposes the application of visualization techniques and the generation of key performance indicators (KPI) to identify production patterns such as workstation’s utilization, queue length, etc. Furthermore, these kpi’s will further address the effect of specific project attributes during the manufacturing process. An overall assessment is performed, and suggestions are made for future applications in offsite construction. This research will utilize an offsite construction facility in Alberta, Canada as case study where large sets of data containing the durations and characteristics of the manufactured panels will be provided.

Cellular Automata + Neural Networks + Visualization

Los automatas celulares son modelos que evolucionan por reglas locales, que incluyen el famoso "Conway game of life". La idea de la ipre es desarrollar esta herramienta en conjunto con redes neuronales.

Empezaremos con entender la creacion de automatas celulares auto-regenerantes por redes neuronales, ver este paper: https://distill.pub/2020/growing-ca/

Sucesivamente, el objetivo es desarrollar mas herramientas para generacion de patrones similares a las activaciones de neuronas reales, con modelos de automatas celulares aprendidos por redes neuronales, con el enfoque en hacer posible la exploracion visual directa de modelos de aprendizaje y memoria para el usuario.

Para esta investigacion se necesitan bases de teoria de redes neuronales, y curiosidad de entender el proceso de aprendizaje por inteligencia artificial. Un interes previo en cosas como automatas celulares, neurociencia o patrones geometricos, hara el avance del proyecto mas facil.

Teaching in hydrogeology: technological and visual resources for a greater immersion

Modelling heat transfer during the storage of hydrogen in activated carbon

Effectos of standardization in industrialized construction

Given their uniqueness, construction projects are often complex, whereas the lack of coordination among stakeholders leads to delays and budget overruns (Braglia et al. 2022). Aligned with that, McKinsey Global Institute (2017) argues that a shift to industrialized construction (i.e., approach where building components are manufactured on shop floors) and mass production will lead to more standardized products and improved project performance. Hence, industrialized construction can act as an enabler to standardize the construction industry due to its potential scale and the fact it concentrates all resources required to design, procure, manufacture, and install construcion projects. In light of that, this research proposes to evaluate the effects of standardization in industrialized construction by analyzing production data collected during the manufacturing of 240 identical bathroom pods manufactured on a shop floor and installed at a hotel project in Brazil.

Robotics Mechanism Design

design of robotic mechanisms using of electromechanic, pneumatic, or hydraulic actuators, with computer motion control. Examples are robotic arms, autonomous vehicles, intelligent prostheses, energy systems, etc. These mechanisms will be fabricated by technologies such as 3D Printing, CNC, and fiberglass reinforced plastics

Computational creativity in generative networks for audio

Enhancing the Joint Analysis of the Costs and Time Dimensions in Process Mining

Calculating Cost-Effectiveness in the Process Mining Context

We are working in a research project centered on enhancing the analysis of the costs dimension with Process Mining. The goal is to define methods (step-by-step guides) for analyzing costs jointly with other dimensions, which will be validated through their application in real processes. For the above, we have defined several subprojects.

This subproject focuses on formally defining cost-effectiveness for process-oriented contexts, as well as methods for its measurement. Among the tasks where you can collaborate are:
• Research process-oriented metrics for measuring cost-effectiveness.
• Study publications of disciplines where cost-effectiveness is used.
• Define a formal way for measuring cost-effectiveness.
• Define metrics for measuring cost-effectiveness in processes.
• Design a method for visualizing the defined metrics.
• Verify the feasibility of the method with simulated data.
• Validate the utility of the method with real data.

Characterization of river plume internal waves through remote sensing

Internal waves are ubiquitous in the ocean and atmosphere, and their effects
influence climate, oceanic heat transfer, biology, and chemistry. To exist, a
perturbation of a stratified fluid must occur. River plumes can generate internal
waves, commonly via an internal hydraulic jump as the plume transitions from
supercritical to subcritical flow. These internal waves have been studied in large
river plumes, but limited work exists on small plumes, owing to the difficulty of
measuring the highly spatially and temporally variable process. This project will
use drone measurements from the Rio Marchant plume in the Melimoyu Fjord to
quantify internal wave characteristics (celerity, wavelength), and relate them to
environmental fluid mechanics variables and analytical stratified wave solutions.

These measurements will be compared with high resolution satellite imagery
(Planet Labs Cubesats) to observe and quantify the presence of these internal
waves on larger spatial scales. The results of this work are expected to
contribute to ongoing numerical modeling work and to inform future field

Application of a reactive plasma for the manufacture of micro-devices: solar cells and transistors

This undergraduate research project is centered around the application of Reactive Ion Etching (RIE) plasma technology, a highly specialized and controlled form of plasma, for the fabrication of micro-devices, with a primary focus on solar cells and transistors. RIE is known for its precision in material removal and modification at the micro and nanoscale, making it a crucial tool in advanced semiconductor manufacturing.

Estudo del contenido de furano en colados para bebes comercializados en Chile

El furano es un compuesto tóxico que se genera en una gran variedad de alimentos que son sometidos a calentamiento térmico y su formación depende también de la composición de las materias primas iniciales. Estudios previos indican que uno de los alimentos en donde se presentan cantidades significativas de furano son los colados para bebe. El estudio consiste en hacer un levantamiento del contenido de furano de una gran variedad de colados para bebe que se comercializan normalmente en el mercado de Chile. La determinación de furano presente en los colados para bebés en el mercado Chileno es importante para conocer en qué grado están presentes en este tipo de aimento y de acuerdo a ello desarrollar tecnologías para su mitigación.

Caracterización de diversos tipos de harinas en base a sus contenidos de precursores y potencialidad para formar acrilamida

Las harinas principalmente provenientes de trigo, se emplean para elaborar productos de panadería a través del horneado que implica el empleo de altas temperaturas de procesamiento (mayores a 180 °C). La composición química de las harinas en relación a sus contenidos de precursores (contenido de azúcares reductores y asparagina) son claves para la formación inevitable e indeseada de compuestos tóxicos tales como la acrilamida (AA) en los productos de panadería resultantes como resultado la Reacción de Maillard (RM) durante el horneado. Se ha demostrado que en materias primas amiláceas a base de cereales, el precursor limitante para la formación de AA por RM en productos de panadería es la asparagina. El objetivo principal de este estudio es caracterizar diversos tipos de harinas en función de su contenido de azúcares reductoras y asparagina, y por evaluar su eventual potencial para formar AA en productos de panadería.

Storage in power system

The project refers to the research of storage systems: electro-chemical and thermal, and their use in power systems. The most economical alternative for the Chilean electrical system is also evaluated and compared with the conventional alternative.

Optimizing the storage of liquid hydrogen in tanks

Green hydrogen is a renewable energy storage technology that does not generate carbon dioxide when used or burned. Its low density under standard pressure and temperature conditions (ρ = 0.082 kg/m³) makes industrial scaling difficult. Liquid hydrogen has a density 860 times greater, but its boiling point of 23 K at atmospheric pressure causes the surroundings to heat it and evaporate during storage.

The goal of IPRE is to optimize the design and operation of liquid hydrogen (LH2) storage tanks to minimize boil-off gas. This will help improve the economic competitiveness and safety of cryogenic storage of renewable energies.

Activities to be carried out:
• Literature search to determine realistic parameters.
• Identify the effect of fill level, tank geometry, ambient temperature, and pressurization time on the generation of boil-off gas.
• Optimize design and operation.

Modeling of the evaporation of liquid green hydrogen in storage tanks with arbitrary geometry

Green hydrogen is a renewable energy storage technology that does not generate carbon dioxide when used or burned. Its low density under standard pressure and temperature conditions (ρ = 0.082 kg/m³) makes industrial scaling difficult. Liquid hydrogen has a density 860 times greater, but its boiling point of 23 K at atmospheric pressure causes the surroundings to heat it and evaporate during storage.

The goal of IPRE is to develop a 1-D model for the isobaric evaporation of liquid green hydrogen. This will contribute to improving the economic competitiveness and safety of cryogenic storage of renewable energies.

Activities:
• Implement a non-stationary 1-D model (vapor phase) and a non-stationary grouped parameters model (liquid) for tanks with arbitrary geometries in Python/Julia.
• Parameterize tank perimeters used in the industry as a function of height.
• Find the best design.

Requirement: IIQ2003

Efecto del extracto de romero (E-392) sobre la mitigación de neo-contaminantes en productos horneados

Los productos de panadería tales como pan y galletas son ampliamente consumidos a nivel mundial. Estos productos durante su elaboración se someten a un tratamiento térmico riguroso durante el horneado, originando la formación indeseada e inevitable de compuestos tóxicos conocidos como neo-contaminantes (NCs) (e.g., acrilamida (AA), el furano e hidroximetilfurfural (HMF)). Sin embargo, el horneado, contribuye también al desarrollo de atributos sensoriales deseables y atractivos al consumidor en este tipo de productos. En varias ocasiones, el uso de antioxidantes naturales presentes en extractos derivados de matrices vegetales han logrado exitosamente mitigar la formación de AA y HMF. El objetivo de este estudio es mitigar la formación de NCs en productos de panadería mediante la incorporación de un extracto antioxidante de romero (E-392).

Recovery of residual heat from the mining industry for the dehydrogenation of liquid organic hydrogen carriers

The following is the English translation of your message:

Liquid organic hydrogen carriers (LOHC) are organic compounds that allow transporting hydrogen in their structure. The most used is the methylcyclohexane (MCH) - toluene pair. In the hydrogenation plant, near the point of hydrogen production, hydrogen is added to the MCH to form toluene in an endothermic reaction. In the dehydrogenation plant, near the point of use, toluene must be dehydrogenated in a highly endothermic reaction to recover the hydrogen. This IPre seeks to design a heat recovery system in copper smelting furnaces and use the recovered heat to dehydrogenate toluene. This will improve the energy efficiency and sustainability of mining processes, and strengthen the national hydrogen economy.

Tasks: bibliographic review, modelling and simulation of (1) heat recovery system and (2) dehydrogenation reactor heating system. Finally, the models will be incorporated into Aspen.

Design and Fabrication of a Three-Motor Dicing System for Precision Cutting of Silicon Wafers and Electronic Circuits

The project proposal seeks to design and implement a dicing system, intended for the precise cutting of silicon parts and electronic circuits. The project will incorporate three independent motors to ensure greater precision and versatility in cuts. Key aspects will be addressed such as process automation, efficiency in the handling of delicate materials and the integration of advanced technologies to improve the quality of electronic devices manufactured in the UC clean room. This project will provide students with valuable hands-on experience in the application of manufacturing techniques from the semiconductor industry.

2D Material Manipulation for the Manufacturing of Electronic Devices

Are you passionate about materials science and nanotechnology? Are you looking for hands-on experience in cutting-edge research? Here is an exciting opportunity for you!

We are pleased to announce a research opportunity for undergraduate students interested in exploring the fascinating world of 2D material heterostructures using the Stamping transfer technique.

This research project offers:

An immersive experience in the field of nanomaterials and their applications.
Practical training in unique experimental techniques.
Collaboration with experienced researchers and academic mentors.

Previous research experience is not required, but a strong interest in materials science and desire to learn is essential. This opportunity is open to undergraduate students (ideally second year or above).

Numerical hydrogeolocial modelling of Parque Nacional Rio Clarillo (RM)

Numerically model (MODFLOW) groundwater runoff in the Río Clarillo National Park (RM).
Determine the resilience of subbasins to drought.

Memory and knowledge: mapping civic knowledge to improve hydrological and hydrogeological knowledge

Compile the community's knowledge about the hydrological state and its evolution over time (perennial and intermittent rivers, water outcrops).
Map this knowledge in GIS tools (QGIS, Google Earth)
Site study: Parque Nacional del Río Clarillo (RM)

Reducción del contenido de acrilamida en snacks mediante la aplicación de la enzima asparaginasa comercial (ACRYLAWAY)

Los productos amiláceos procesados a altas temperaturas tales como las que se aplican en operaciones unitarias como el horneado y la fritura (papas fritas, pan, galletas, entre otros) son ampliamente consumidos en Chile y a nivel mundial. En este tipo de productos alimentarios debido a su composición química y al ser sometidos a un procesamiento térmico riguroso, se generan inevitablemente compuestos químicos tóxicos indeseables y perjudiciales para la salud, tales como la acrilamida (AA). La AA  se caracteriza por ser un compuesto neurotóxico y probablemente cancerígeno en humanos. La enzima asparaginasa actúa sobre la asparagina que es uno de los principales precursores de la AA en este tipo de producto, convirtiéndola en ácido aspártico y reduciendo así significativamente la formación de AA en los productos finales. El principal objetivo de esta investigación es mitigar la formación AA en snacks mediante la optimización de las condiciones de aplicación de la asparaginasa comercial.

Design and arrangement of a MVP of an open source microfluidics instrument for pressure driven droplet generation.

We have already released a digitally-fabricated microfluidics strobe microscope (https://wenzel-lab.github.io/strobe-enhanced-microscopy-stage/) but many extensions are still at a prototyping stage (e.g. https://github.com/wenzel-lab/modular-microfluidics-workstation-controller) and need to be integrated into a clean, attractive design that is suitable for the use in a biological safety level 2 laboratory. We also develop detailed documentations for replication, and training material for teaching and research.

Brain Imaging Low Cost MRI scanner

Low-cost MRI for brain imaging

Compact data structures for set intersection and graph databases

This IPre aims to explore compact data structures (and their algorithms) for the problems of computing integer-set intersections and processing joins in graph databases. This includes to study, programming, and experimantal evaluation of such data structures.

Literature Review in Economics of Migration

This research should provide a review of the literature in migration economics. Students who participate will be able to learn to review empirical papers and generate an systematic overview of the literature.

Bioremediation

Development of biological systems for the treatment of contaminants.

Biofilms

Study of microbial biofilms

Portability of REmatch library to other programming languages

REmatch is a library for extracting information from text documents using regular expressions (see more at www.rematch.cl). REmatch is implemented in C++ and can be used on its web interface, as well as on its Python interface. Unfortunately, REmatch is not supported in other programming languages ​​such as Javascript, Java, or C#.

For this research project we look for supporting REmatch in other programming languages. For this work you will need to learn the internals of REmatch (implemented in C++), learn how to use libraries in other programming languages, and use tools to access C++ code from these programming languages. As a result of this investigation, we look for the portability of REmatch to other programming languages.

App for physical activity promotion in chronic kidney disease patients

This application arises from a collaboration with the Unidad de Peritoneo Diálisis de la Red Uc Christus, the Escuela de Kinesiología UC and the Escuela de Diseño UC. Physical therapy and design students are welcome to join this project.

Quantification of food loss and waste in the Chilean food system

Software development for real-time optical sectioning microscopy with Hadamard patterns

We are developing a software implementation for real-time optical sectioning microscopy using Hadamard pattern projection. This technique enhances image contrast and resolution in real time by selectively illuminating different parts of the sample with structured light patterns. The software will be integrated into an existing microscope in the biomedical optics lab. The project will focus on programming in C to generate and control the Hadamard patterns, acquire images, and rapidly process the data to reconstruct high-quality optical sections in real time. Experience in C programming is required. Experience in image processing and optical design is welcome but not required.

Construction, Testing, and Characterization of an Open Hardware Modular LED Illumination Module

We are looking for a student with an interest in electronics and practical skills to build, test, and characterize a modular LED illumination module. The circuit design and components are already defined. The project involves assembling the module using basic tools, performing technical tests to verify its correct operation, and conducting basic measurements to characterize its performance. The ability to build hardware, follow technical instructions, make measurements, and document results will be valued.

Modelo de Optimización para determinar zonas de patrullaje y reducción de crimen

El alumno deberá apoyar en la investigación de un modelo de optimización entre y combinatorial para determinar zonas de patrullaje y reducción de crimen. Deberá investigar sobre set de datos de crimen en otros países, se le entregará un modelo que permite determinar zonas de patrullaje y realizar experimentos en el cluster de NLHPC. Proponer heurísticas y mecanismo para reducir los tiempos de resolución.

Structural Modeling for the Design of Light Steel Panel Connections (Cold-Formed Steel or Light Steel Frame)

Applications are now open to participate in a research project focused on the structural design and modeling of connections for light steel construction systems. This project aims to optimize the structural performance of light steel panels, addressing both technical requirements and considerations of cost and construction productivity.