bs900004
Nov 17, 2017
Graduate / My goal is researching in the area of demanding automotive sector using machine learning techniques [4]
@Holt
what about this?
thank you in advance!
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My research interests lie primarily in the area of artificial intelligence, machine learning and deep learning. During an internship in the robotics laboratory I work in XXX inter-connection system developed for the nationally founded YYY project. XXX aimed at developing Home Automation solutions for building energy management, user customization and improved safety of its inhabitants. It is a framework that aims to integrate heterogeneous devices, such as sensors and actuators from different vendors, providing networking features, protocols and interfaces that are easy to implement and dynamically configurable. We adapted the Robot Operating System (ROS) features to the HA problem, designing the network and protocol architectures for this particular needs. Since one of the aim of the YYY project was the personalization of the building environment according to the user needs, and the learning of their patterns of behavior, we had to design and experiment to provide a Machine Learning based re-identification module implemented with Convolutional Neural Networks (CNNs)
Currently my research interests lie in application of machine learning techniques in automotive. The glimpse of that was given to me when I had the opportunity to come to ZZZ University as a Master student for an exchange program offered in collaboration with my University of KKK and ZZZ Having spent only a small amount of time doing research for my masters thesis at TTT program and working under the guidance from some of the best people in the field of automotive, has given me the determination to explore more of this fascinating field of research and pursue my academic endeavors into doctoral program.
My master's thesis work involved designing an artificial neural network based machine learning technique to estimate and detect faults for on-board sensors which are critical in monitoring the system health of the diesel particulate filters equipped in diesel heavy-duty vehicles. My ultimate goal is being able to perform impacting research in the area of demanding automotive sector using machine learning techniques, that will eventually help to increase vehicular efficiencies and further reduce emissions that are harmful to both human health and the environment. For example a current issue that can be solved using machine learning techniques is engine calibration. Since, modern engines are controlled by electronic control units, which operate all the engine actuators based on the signals from various sensors in the engine, traditionally, the control parameters of the actuators are obtained through huge amount of trial-and-error experiments. However, using traditional approach to calibrate these parameters becomes more challenging with the increasing incorporation of new technologies into advanced engines. In order to reduce the number of experiments required in the calibration process of modern engines, an engine calibration approach based on machine learning methods can be proposed.
I believe that my knowledge and skills ...
@Holt
what about this?
thank you in advance!
==============================
My research interests lie primarily in the area of artificial intelligence, machine learning and deep learning. During an internship in the robotics laboratory I work in XXX inter-connection system developed for the nationally founded YYY project. XXX aimed at developing Home Automation solutions for building energy management, user customization and improved safety of its inhabitants. It is a framework that aims to integrate heterogeneous devices, such as sensors and actuators from different vendors, providing networking features, protocols and interfaces that are easy to implement and dynamically configurable. We adapted the Robot Operating System (ROS) features to the HA problem, designing the network and protocol architectures for this particular needs. Since one of the aim of the YYY project was the personalization of the building environment according to the user needs, and the learning of their patterns of behavior, we had to design and experiment to provide a Machine Learning based re-identification module implemented with Convolutional Neural Networks (CNNs)
Currently my research interests lie in application of machine learning techniques in automotive. The glimpse of that was given to me when I had the opportunity to come to ZZZ University as a Master student for an exchange program offered in collaboration with my University of KKK and ZZZ Having spent only a small amount of time doing research for my masters thesis at TTT program and working under the guidance from some of the best people in the field of automotive, has given me the determination to explore more of this fascinating field of research and pursue my academic endeavors into doctoral program.
My master's thesis work involved designing an artificial neural network based machine learning technique to estimate and detect faults for on-board sensors which are critical in monitoring the system health of the diesel particulate filters equipped in diesel heavy-duty vehicles. My ultimate goal is being able to perform impacting research in the area of demanding automotive sector using machine learning techniques, that will eventually help to increase vehicular efficiencies and further reduce emissions that are harmful to both human health and the environment. For example a current issue that can be solved using machine learning techniques is engine calibration. Since, modern engines are controlled by electronic control units, which operate all the engine actuators based on the signals from various sensors in the engine, traditionally, the control parameters of the actuators are obtained through huge amount of trial-and-error experiments. However, using traditional approach to calibrate these parameters becomes more challenging with the increasing incorporation of new technologies into advanced engines. In order to reduce the number of experiments required in the calibration process of modern engines, an engine calibration approach based on machine learning methods can be proposed.
I believe that my knowledge and skills ...
