| 07-03-2023 |
Simulaciones de dinámica molecular de la interacción enzima-sustrato de resveratol O-metiltransferasa
La enzima resveratrol O-metiltransferasa de Vitis vinifera (VvROMT) es una enzima de interés industrial que sintetiza productos benéficos para la salud humana y de elevado valor comercial. En nuestro laboratorio mejoramos con éxito la eficiencia enzimática y selectividad de esta enzima. Sin embargo, nuestros actuales modelos moleculares estructurales de la enzima no son capaces de explicar de manera satisfactoria los resultados experimentales. Objetivo de este proyecto es realizar simulaciones de dinámica molecular de variantes de VvROMT en complejo con diversos sustratos para generar una modelo robusto de las relaciones bioactividad-estructura.
Prerequisitos:
no tiene.
Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 1/1 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 20-07-2022 |
Simulación de terremotos con métodos basados en física
El proyecto consiste en simular terremotos en la zona de subducción de Chile Central . Para ello se debe utilizar prgramas escritos en Python. El proyecto tiene financiamiento para investigadores de pregrado.
Keywords:
ingenieria sismica
sismología
Prerequisitos:
IIC1103
Tiene un método de evaluación Nota 1-7, con 5 créditos y tiene 1/2 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 01-06-2022 |
Predicción de contactos termo-elasto-hidrodinámicos por medio de métodos de aprendizaje automático
La reducción de las pérdidas por fricción y desgaste en los tribo-contactos lubricados de elementos de máquinas o componentes mecánicos sometidos a grandes cargas es esencial para desarrollar sistemas energéticamente eficientes y fiables. En particular, la modelización de los contactos concentrados y termo-elasto-hidrodinámicamente lubricados (TEHL), en los que se superponen la deformación elástica local de las superficies de fricción y la formación de una lámina de fluido hidrodinámico, es comparativamente compleja y computacionalmente costosa. Basado en resultados previos, este proyecto estudiantil se basará en la hipótesis de que los métodos de aprendizaje automático predicen las características de los contactos con gran exactitud y más rápidamente que los complejos modelos de simulación. Los datos de las simulaciones de contacto se utilizarán para entrenar enfoques de aprendizaje automático, como Artificial Neural Networks.
Prerequisitos:
no tiene.
Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 2/2 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 26-04-2022 |
Investigación y diseño de Dispositivo de medición de material particulado y CO2
La oportunidad de investigación consiste en realizar un levantamiento de las necesidades de mejora de un dispositivo de medición de material particulado, temperatura y CO2, utilizado para el análisis de dichos parámetros en viviendas. Las mejoras detectadas deben estar orientadas a los usuarios y al desempeño del dispositivo, para obtener como resultado un rediseño de este, considerando su producción escalable.
Prerequisitos:
IDI2015
Tiene un método de evaluación Nota 1-7, con 10 créditos y tiene 2/2 vacantes disponibles |
Mentor(es): Ver en la plataforma |
| 22-12-2023 |
Prerequisites:
ICS2563
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |
| 10-12-2023 |
Keywords:
Educación en Ingeniería
educación superior
Prerequisites:
ING1004
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 07-12-2023 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |
| 20-06-2023 |
Designing a Simulation Environment for Differential Drive Robotic Structures
Currently, academic institutions have robotic platforms that enable the practical application of theoretical engineering concepts in real scenarios and problems. However, limitations have been identified regarding the lack of a simulator that allows students to familiarize themselves with the platform outside the laboratory environment. In this context, the proposal is to design a simulation environment that accurately reproduces the characteristics of existing robotic platforms. Specifically, the geometry of the platforms, electronic components, and mechanical aspects should be considered to achieve an accurate simulation of both the platforms and the operating environment. The simulation environment should be intuitive for the user and have proper documentation to facilitate future improvements or modifications.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 07-03-2023 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 1/1 available vacants |
Mentor(s): Open in the plataform |
| 29-12-2022 |
Study of the specificity determinants in the recognition process between the transcription factor MarA and DNA
This research opportunity offers the possibility to explore, to analyze and to generate specificity models of DNA binding for the transcription factor MarA through computational biology approaches. We have large amounts of data generated by directed evolution experiments performed in vivo in bacteria (hundreds of Gbytes). Also, this research will involve searching and assessing specificity models of MarA binding in the whole genome of E. coli bacteria ( 5 Mbytes).
Prerequisites:
IIC1103
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |
| 22-12-2022 |
Keywords:
ingeniería biomédica
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |
| 20-07-2022 |
Keywords:
ingenieria sismica
sismología
Prerequisites:
IIC1103
Evaluation method: Nota 1-7, with 1/2 available vacants |
Mentor(s): Open in the plataform |
| 01-06-2022 |
Prediction of Thermo-elastohydrodynamic contacts by machine learning approaches
Reducing friction and wear losses in the lubricated tribo-contacts of heavily loaded machine elements or mechanical components is essential for developing energy-efficient and reliable systems. In particular, the modeling of concentrated and thermo-elasto-hydrodynamically lubricated (TEHL) contacts, in which local elastic deformation of friction surfaces and the formation of a hydrodynamic fluid film are superimposed, is comparatively complex and computationally expensive. Based on previous results, this student project will be based on the hypothesis that machine learning methods predict contact characteristics with high accuracy and faster than complex simulation models. Data from contact simulations will be used to train machine learning approaches, such as Artificial Neural Networks.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 2/2 available vacants |
Mentor(s): Open in the plataform |
| 26-04-2022 |
Prerequisites:
IDI2015
Evaluation method: Nota 1-7, with 2/2 available vacants |
Mentor(s): Open in the plataform |
| 06-01-2022 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |
| 04-01-2022 |
Attraction and retention of women in STEM careers
Historically, women have been underrepresented in the fields of engineering and science. In the US, the percentage of bachelor's degrees awarded to women in 2019 ranged from 52% (Environmental Engineering) to 13% (Computer Engineering). In the same year, the percentage of professional degrees awarded to women in Chile ranged from 55% (Environmental Engineering to 8% (Computer Engineering). Although the proportion of women has increased over time, gender disparities in engineering still remain. Given the interest in achieving greater participation of women, different types of efforts have been invested to attract women to engineering. This research seeks to understand the reason for these differences, examining initiatives to attract and retain students This will involve reviewing the literature and contributing to the design and implementation of mixed methodologies (quali / quanti), collaborating with the DRS and the DEI.
Keywords:
Educación en Ingeniería
Brecha de género
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 06-12-2021 |
Development and use of the GRAPE computational engineering strategy in Antarctic PET hydrolases
In recent decades, numerous enzymes from bacteria that degrade PET plastics have been described, including enzymes described by our laboratory from Antarctic organisms that are catalytically active at room temperature. However, the stability of these enzymes is insufficient for their biotechnological use, thus experimental and computational enzyme engineering strategies have been developed to optimize these parameters. In this research, we seek to develop and use the GRAPE computational engineering strategy, which produces a library of mutations for preliminary experimental characterization and subsequent clustering in a final designed enzyme, to improve the stability of Antarctic PET hydrolases.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 19-07-2021 |
Generation of multi-colour 3d printable models of bacterial pumps for antibiotic resistance
This is a remote research project to generate good 3d printable models from protein structures in biological databases of the cell-membrane pumps that cause antibiotic resistances in bacteria. In addition to improving the 3d printability of the protein complexes, the quaternary structure of the proteins should also be used to segment the model into up to 4 materials (different colours for 3d prints), which help to understand the function of the pumps. Basic experience in 3d printing and interest to find solutions to problems independently is a requirement.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 17-07-2020 |
Circular Economies in Local Communities
This research project proposes an exploration of the problems that local communities face in relation to waste management, recycling, use of materials and similars, as part of their community life. The objective of the project is to discover which are the central elements of these problems, characterize them and identify areas of opportunity to make a possible intervention using engineering, design and innovation as tools for social change. The project offers one vacancy, preferably for a student from the Major IDI interested in research, in issues related to sustainable design and the circular economy, and motivated to address local community problems. Those interested can communicate to the mail rhernandep@ing.puc.cl
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 29-07-2019 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 11-07-2019 |
Evolution of NAFLD from chromatography and MR spectroscopy data
One of the most common liver diseases is Non-Alcoholic Fatty Liver Disease (NAFLD). It is believed to be a manifestation of metabolic syndrome, and that the progression of the disease towards steatohepatitis (NASH) and cirrhosis manifests itself in changes in concentrations of fatty acids in the liver. This project has two objectives. First, to determine the empirical relation between chromatography and Magnetic Resonance (MR) spectroscopy data acquired from fatty acids. Second, to determine the geometric structure of the data by estimating the manifold along which they lie.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |