Hello 👋🏻
I'm Jose Daniel
I'm
PhD Student
Graduated in Telecommunication Technologies Engineering with a specialization in Telematics from the ULPGC and a Master's Degree in Computer and Network Engineering from the UPV.
As a Ph.D. student in Computer Science, I have a strong research background and a great interest in using data to generate insights and solutions. Working with enormous volumes of traffic and pollution data has sharpened my abilities in data analysis and visualization with technologies like Python, SQL, Tableau, Matplotlib, and Pandas.
I am also skilled at automating data extraction and transformation procedures, which makes me a useful asset in R&D+i departments. I can also execute complex analytics on massive data sets thanks to my Ph.D.
Overall, I am a highly trained data specialist who uses data analysis and visualization technologies to give meaningful insights and solutions.
Currently, I am studying to acquire the necessary skills to manage challenging projects.
Risk management, finance and team, as well as leadership, are some of the topics covered in the program, which also includes practical experience through a final project. I am also developing my communication and leadership skills, which are essential to successfully manage a project.
Upon completion, I will have an in-depth knowledge of project management, which will make me an important asset to any organization.
I am working on my thesis on the creation of a system for urban traffic management that takes into account pollution criteria.
At the moment, I have learned to make a critical analysis and synthesis of complex ideas. At the same time, i have learned about complex data analysis and visualization. Finally, I have also learned to deal with the communication and dissemination of research ideas.
By the time I have finished, I hope to have a broad mastery of my research field and have a strong resilience.
Throughout the master's degree, I have learned various concepts ranging from software development to computer architecture.
What I highlight the most from the master are the knowledge learned in relation to IoT, communication networks, Python development and the reading and writing of research papers.
During my Erasmus in Maribor, I learned several things: how to integrate in multicultural environments, programming languages among which C++ stands out, how to manage in an environment that is not yours and diverse cultures through the trips I made (Czech Republic, Slovakia, Greece, Austria, Italy, Hungary, Serbia, Bosnia...).
Without a doubt, I think that Erasmus has been the best experience of my life.
During my years at the University of Las Palmas de Gran Canaria, I have acquired technical and personal knowledge.
On one hand, from the technical side, there are wide aspects that go from web development to network management. For example, programming languages I have studied are: Java, JavaScript, Python, PHP, C, ASM... Of these I highlight that my greatest knowledge is in Java and Python.
On the other hand, of the personal ones, the following stand out: teamwork, confidence in one's partner, perseverance, sacrifice and effort.
As an Assistant Professor, I teach lab sessions for third-year courses in the Bachelor's Degree in Informatics Engineering. Specifically, I teach the following courses:
• Design and Configuration of Local Area Networks (11607) (1.5 ECTS) for the group in English
• Network Technology (11579) (1.5 ECTS)
My main functions are:
• Developing and revising course materials such as lab manuals, assignments, and exams to ensure they align with the learning objectives of the courses.
• Providing guidance and support to students during lab sessions, office hours, and via email to help them achieve their academic goals.
As a Data Scientist and PhD Fellow with a predoctoral contract from the Universitat Politècnica de València, I work in the Networking Research Group (GRC) of the Computer Engineering Department (DISCA). My responsibilities include:
• Organizing, extrapolating, and disseminating data among the research group to draw conclusions about the success of experiments.
• Collecting data on pollution and traffic conditions in Valencia to develop an algorithm that generates routes for vehicles based on pollution levels in the city.
• Conducting statistical analysis on large datasets using Python to identify patterns and trends in the data.
• Collaborating with other members of the research group to develop research proposals, write research papers, and present findings at academic conferences.
• Working in a multicultural environment with colleagues from 10 different nationalities and 4 continents.
As a Data Analyst, I conducted research in the study of solutions for efficient management of vehicle traffic based on network systems and services. My responsibilities included:
• Conducting advanced calculations to draw conclusions about data results.
• Assisting professors in interpreting data and compiling data in an organized manner.
• Presenting detailed reports to the research group in monthly meetings.
As an Android Developer Intern at Sanpani, I worked on the development of an app for managing the data of biological activity in human cells. My responsibilities included:
• Collaborating with the development team to design and implement the app's features and functionality.
• Writing efficient and scalable code using Java.
• Conducting testing and debugging to ensure the app's performance and usability met the project's requirements.
Through this internship, I gained experience in developing Android applications and working in a team-based development environment.
In this paper we assess whether limiting traffic for environmental reasons is feasible and efficient. In particular, we analyze the impact of blocking a street/road to avoid pollution in that zone, showing how our proposed route assignment algorithm is able to deviate traffic to minimize circulation in those places, In addition, we determine how the overall vehicle emissions in that area vary due to the traffic restrictions enforced.
In this paper, we analyze the impact of reducing the traffic in nearby streets to avoid pollution by proposing two different approaches. Our goal is to improve the pollution levels in Valencia’s most significant green areas by limiting vehicular traffic flow in nearby streets. To this end, we consider two alternative solutions: a more restrictive one and a less restrictive approach in an attempt to achieve a tradeoff between emission control and congestion avoidance. Moreover, we show how our proposal can reroute traffic throughout the city without having traffic jam problems associated with the proposed approaches. In addition, we determine how the traffic flow data and the emissions in the city vary due to the traffic restrictions that we enforce.
We present a tool in this paper that aims to improve the representativeness of traffic simulations by generating realistic Origin-Destination (OD) traffic matrices. As we move towards smarter cities, managing traffic becomes increasingly important. Accurate traffic simulations are critical for efficient traffic management and predicting the impact of different traffic policies and road system changes. Our tool is focused on cities that rely on induction loop detectors as their source of traffic information. By comparing it to the widely used DFROUTER tool in the SUMO open-source traffic simulation package, we show significant improvements in traffic model accuracy, including more realistic route lengths and a better distribution of traffic sources and destinations.
Learn more[email protected]
Valencia, Spain
