About me
Javier López Iniesta Díaz del Campo
I am Javier López Iniesta Díaz del Campo, Telecommunications Engineer from Universidad Politécnica de Madrid (Spain). Currently, I am studying the Master of Science of Electrical Engineering in the Systems, Control and Robotics Programme, as a Double Degree Student at KTH Royal Institute of Technology in Stockholm (Sweden).
I have great knowledge in the area of information technology and communications, as well as in intelligent robotics and Deep Learning. As a result of my work, in a collaborative fellowship where I had the opportunity to deepen my knowledge in the field of Human Activity Recognition, researching on motion recognition using Convolutional Neural Networks.
I am a motivated professional and eager to learn. I consider myself a hard worker and very self-taught. I am able to adapt to any situation, always giving my best. Furthermore, working on projects in a multicultural environment has helped me to integrate my technical attributes with interpersonal, leadership and teamwork skills. I like jobs that offer challenges.
Education
Master of Science in Electrical Engineering
Kungliga Tekniska Högskolan
Stockholm, Sweden
2022 August - 2024 January
Specialization of Systems, Control and Robotics.
- Analysis, design and control of robots, autonomous vehicles, and other complex technical systems using tools such as SLAM or ROS2.
- Learning systematic modelling methods, as well as the digital implementation of analog controllers like the PID.
- Knowledge and use of Artificial Intelligence (AI) and different Machine Learning techniques.
Master of Science in Telecommunication Engineering
Universidad Politécnica de Madrid
Madrid, Spain
2021 September - 2024 January
Completed the First year of the MSc with an average score of 7.78/10
- Master’s degree accredited by the Engineering Accreditation Commission of ABET, enable to practice as regulated Telecommunications Engineer.
- Selected by the EECS of KTH as one of 12 worldwide Double Degree students for an 18-month exchange at KTH Royal Institute of Technology for the great academic background.
Bachelor of Engineering in Telecommunication Technologies and Services Engineering
Universidad Politécnica de Madrid
Madrid, Spain
2017 September - 2021 June
GPA: 3.64/4. Top 8% out of 300 peers.
Major in Electronic Systems. Ranked 2nd out of 40 students in the major.
- This bachelor is a combination of Computer Science and Electrical Engineer with ABET and EUR-ACE accreditation.
- Coursework includes Theory of telecommunications, Theroy of information, Signal and systems, Discrete signal processing, Networks, Electronics, etc.
- Recognized in 2021 among 2090 students with a scholarship for Academic Excellence by the Community of Madrid as a consequence of excellent academic results.
- 19 subjects including the thesis with the highest grade, including 7 of them with honors.
Technological High School
IES Ojos del Guadiana
Daimiel (Ciudad Real), Spain
2011 September - 2017 June
Pre-university studies.
Experience
Student researcher, Universidad Politécnica de Madrid
2021 - 2022
Development of a human motion recognition system using deep learning techniques and inertial signals.
- Optimized a classifier of activity types based on window length.
- Applied inertial signal processing techniques to process smartphone signals with unstable sampling rates.
- Designed and implemented a human motion modelling and recognition system.
- Utilized TensorFlow with Keras in Python to develop one of the most widely used Deep Learning techniques nowadays, Convolutional Neural Networks. Whereas, for data processing I used Matlab in which I have a good knowledge of it.
Skills
I've worked in several courses during the Bachelor and Master of Telecommunications Engineering with Signal Processing Toolbox functions mainly. In addition, during my stay at KTH I have used MATLAB for Computer Vision, Image Analysis and modelling of systems using Simulink.
It is the programming language that I have more knowledge. Great understanding of Python in all its fields.
Learned this software during the course "Introduction to Robotics" in their assignments with ROS API in Python. Among other projects, I realised the simulation in Gazebo of a TIAGo robot using a high-level state machine (SM) and a Behaviour Tree, using several on-board sensors and a manipulator arm.
Language with which I have worked a lot during my bachelor's degree. Designing combinational and sequential circuits, finite state machines, among others. I also implemented with VHDL an RDS signal decoder and an audio recording, processing and playback system.
I used the PSPICE simulator in my fourth year of my bachelor's degree to obtain the model parameters used for the uA741 operational amplifier, analysing both the Transient Analysis (time domain) and the AC Sweep (frequency domain). Besides, I designed a low-pass filter by cascading first- and second-order stages.
Preferred tool for making reports. Since I learned to use it in 2020, I have produced more than 60 documents in LaTeX. Knowledge also of "Beamer" for the creation of presentations.
I designed a real-time weather data detection system for the prediction of ice and snow events using Altium. In addition, the PCB was sent to print and was fully operational.
Designed the SnakePi game for Raspberry Pi in the Digital Systems II course.
Knowledge of SQL (Structured Query Language) for Data manipulation. Both relational and graph databases.
Great knowledge of different areas of Machine Learning. Both areas within Deep Learning, such as CNN for the classification of human activities, and Reinforcement Learning, or supervised and unsupervised learning using RBF, SOM or Multi-Layer Perceptron.
Good knowledge of Adobe Illustrator for the creation of figures for reports and assignments.
Languages
Spanish:
NativeEnglish:
C1 - Advanced (TOEFL iBT)Swedish:
A2 - Basic (Swedish A2 for Engineers - KTH)
Publications
[1] Gil-Martín, Manuel, Javier López-Iniesta, and Rubén San-Segundo. 2021. "Classifier Module of Types of Movements Based on Signal Processing and Deep Learning Techniques" Engineering Proceedings 10, no. 1: 14. https://doi.org/10.3390/ecsa-8-11316
[2] Javier López-Iniesta, Jorge Quijorna Santos and Fernando García Gutierrez. 2021. "The Bluetooth aspects of COVID tracking applications" Article for the course of Connectivity systems (ETSIT - UPM). Available online.
Projects
Final Degree Project
Design and implementation of a human movement type classifier using inertial sensors. Analysing the characteristics of the different types of movements in terms of energy, after applying processing techniques to these signals. Different neural network architectures (CNN) were used to extract features from the signals and classify the type of activity.
Final assignment of DD2410 - Introduction to Robotics
Gazebo simulation of a TIAGo robot using a high-level state machine (SM) and a Behavior Tree, using several on-board sensors and a manipulator arm.
Laboratories of DD2423 - Image Analysis and Computer Vision
Analysis of different filtering operations. Implementation of an edge detector based on differential geometry to detect lines with the Hough transform. Development of different methods for image segmentation.
Laboratories and Computer Exercises of EL2820 - Modelling of Dynamical Systems
Modelling and control for Acrobot. Analysis of a driveline. Modelling and Simulating in SimScape of a Servo Motor. Modelling of a Magnetic Levitator using different model structures.
Final project of the subject "Design of Digital Electronic Systems"
Audio recording, processing and playback system implemented on the Nexys 4DDR board using the Vivado workflow (VHDL).
Project of the subject "Manufacture of Electronic Equipment"
Real-time weather data sensing system for the prediction of ice and snow events using Altium.
Challenge 2 of the subject "Electronic Systems Engineering".
Home alarm system using a PIR sensor. Using LTL to specify the model, state machines, formally verifying the model and implementing it in 3 different ways (cyclic executive, threads with priorities using POSIX and Reactor).
Home Network Enhancement Practice (Connectivity Systems)
Study of the radio spectrum in the frequency bands for WiFi signals (2.4GHz and 5GHz).
Project of the subject "Electronic Circuits".
RDS signal decoder by realising the electronic circuit on an insertion board. Furthermore, in the digital part, the objective was to obtain the demodulated bits of the RDS signal and then interpret what the symbols are and show them on the FPGA display using VHDL.
Article: "The Bluetooth aspects of COVID tracking applications".
Article developed for the subject "Connectivity Systems".
Project of the subject "Consumer Electronics".
Padel point counter using two clocks and a display board designed in AutoCAD. As well as an ESP32 as microcontroller and an electronic ink display also with an ESP32.
Awards
Scholarship for Academic Excellence - 2019/2020
Issued by Comunidad de Madrid (July 2021)Bachelor thesis - Maximum grade (10)
Design and implementation of a human movement type classifier using inertial sensors (June 2021).
7 subjects with honors
Escuela Técnica Superior de Ingenieros de Telecomunicación - UPM (2017 - 2021)- Introduction to Electronics (2018)
- Digital Electronics (2019)
- Digital Systems I (2020)
- Digital Signal Processing (2020)
- Electronic Instrumentation (2022)
- Analogue and Mixed Electronic Systems (2022)
- Connectivity Systems (2022)
Complimentary education
- 2017 November
- Public Speaking and Communication Course. Usa la Palabra Formación
- 2018 May
- Digital Photography Course. ETSIT - UPM
- 2019 March
- Satellite Picosatellite and Radiosatellite Course. ETSIT - UPM
- 2019 September
- Self-paced training course “Introducción a MATLAB”
- 2020 June
- Introductory LaTeX course. ETSIT - UPM
- 2020 July
- Altium course. ETSIT - UPM
- 2022 June
- Summer Course "Data Science and Engineering in Defence and Security: The Challenges of Big Data in New Conflict Scenarios" UPM-CESEDEN
Contact me
If you want to know more about me just give me a call or send me an email.