Escuela Técnica Superior de
Ingeniería y Sistemas de Telecomunicación
Universidad Politécnica de Madrid

Seminarios de investigación curso 2019/2020

IMPORTANT NOTE: Due to the COVID-19 pandemic restriction measurements in place, some seminars initially programmed to take place during the 2019/2020 spring semester are being rescheduled to be taught online on different dates (check the details below). Thank you for your understanding and stay safe.

 

(*) Important note on certificates of achievement: these certificates will only be issued to persons who attend all the sessions of the seminar and pass the evaluation activities that the teachers will propose. To request this certificate please follow these instructions: if you are an undergraduate student, send an email to sca.etsistATupm.es and fill this form; if you are a Master or PhD student, send an email to sid.etsistATupm.es.

Also check the transversal courses offered by UPM's International PhD School (Escuela Internacional de Doctorado de la UPM) at this link.

 

Semestre de OTOÑO / FALL semester

  • Optical communications (17-18 Oct. 2019)
  • Image and Video Coding (25-26 Sept. 2019)
  • Sampling and Reconstruction of Sparse Signals (23-24 Sept. 2019)

Semestre de PRIMAVERA / SPRING semester

  • Python for Data Analytics (1 to 4 June 2020; online)
  • Hardware integration in Cyber-Physical Systems (11, 12, 18 and 19 May 2020; online)
  • Writing in Engineering (29 June, 1 July and 3 July 2020; online)

 

Semestre de OTOÑO / FALL semester

 

Optical communications

Prof. Dr. Steffen Lochmann (University of Wismar, Germany)

Table of contents:

  • Part 1: Fundamentals of optical Fibre Transmission
  • Part 2: Beam Propagation Method (BPM): a versatile CAD-Toll for simulations optical components
  • Part 3: With high speed optical fibre networks and slow light into the photonic century

Date and time:

Thursday 17 and Friday 18 October 2019, 15:30h to 17:30h (4 hours).

Room:

Sala de Grados (Room A3004).

Language:

English.

Registration:

sca.etsist@upm.es

Workload for attendants with certificate of achievement (*):

  • Students of the PhD Program in Systems and Services for the Information Society: 5 hours' worth of "specific seminars".

  • Undergraduate students: 0.5 ECTS.

Additional information:

 

 

Image and Video Coding

Dr.-Ing. Henryk Richter (University of Rostock, Germany)

  • Introduction/Fundamentals
  • Video Compression Basics including MPEG-1 to MPEG-4
  • H.264/AVC video compression
  • H.265/HEVC video compression
  • Alternative approaches
There will be some flexibility in the contents of this seminar depending on prior knowledge of attendants (i.e. either basics or more recent advances in the field).

Date and time:

Wednesday 25 and Thursday 26 September 2019, 15:30 to 17:30.

Room:

Sala de Grados (Room A3004).

Language:

English.

Registration:

sca.etsist@upm.es

Workload for attendants with certificate of achievement (*):

  • Students of the PhD Program in Systems and Services for the Information Society: 5 hours' worth of "specific seminars".

  • Undergraduate students: 0.5 ECTS.

Additional information:

 

 

Sampling and Reconstruction of Sparse Signals

Dr.-Ing. habil. Volker Kühn (University of Rostock, Germany)

State-of-the Art:

In the last two decades the pervasion of our daily life by communications and sensing grows at increasing speed leading to the vision called Internet of Things (IoT). Moreover, mobile radio communications enters the area of industrial automation (Industrie 4.0) characterized by massive machine to machine communications. The fusion of physical processes, sensing, communication and data processing requires a proper adjustment of all parts of the processing chain. In order to keep storage and data rate requirements at a moderate level, compression is an inevitable part of digital systems. It removes redundant parts from the signal and represents these signals with as few bits as possible. Thereby, lossy and lossless compression are distinguished. We call compressible signals as being sparse in a certain domain. Conventional strategies first sample the analog signal at high rate according to Shannon's famous sampling theorem and perform compression afterwards. The technological challenge w.r.t. sampling rate and algorithmic complexity is on the encoder side while the decoder is simple and standardized.

New Approaches:

This provokes the question why sampling itself cannot directly perform the compression in order to avoid costly sampling at high rate. In order to answer this question, the lectures will first revisit Shannon's famous sampling theorem. Next, we will discuss two new approaches. First, the class of analog Finite Rate of Innovation (FRI) signals will be introduced which can be sampled at rates much lower than stated by Shannon. For reconstruction, the annihilating filter as one example of spectral estimation algorithms will be presented. Second, a technique called 'Compressed Sensing' will be explained allowing to compress sparse signals in a very efficient way. After discussing some toy examples to illustrate the underlying principle, the compression and its fundamental properties are discussed. Next, the reconstruction step is explained for one simple exemplary algorithm, the Orthogonal Matching Pursuit (OMP) algorithm. In contrast to conventional compression techniques, e.g. MP3, MPEG or H.265 for multimedia applications, the complexity is shifted from the encoder which becomes very simple to the decoder.

Date and time:

Monday 23 and Tuesday 24 September 2019, 15:30 to 17:30.

Room:

Sala de Grados (Room A3004).

Language:

English.

Registration:

sca.etsist@upm.es

Workload for attendants with certificate of achievement (*):

  • Students of the PhD Program in Systems and Services for the Information Society: 5 hours' worth of "specific seminars".

  • Undergraduate students: 0.5 ECTS.

Additional information:

 

 

 

Semestre de PRIMAVERA / SPRING semester

 

Python for Data Analytics

Prof. Galyna Tabunshchyk, PhD, Professor of Software Tools Department (Zaporizhzhia National Technical Universtity)

The aim of the workshop to learn the possibilities of data analysis with python, including data preparation, data exploration and visualisation and predictive modelling. Students will get knowledge and skill in python basics, libraries numpy, pandas, matpolot and will learn how to work with open source data.

Table of contents:

  • Introduction into Python
  • Introduction into scientific calculations with Python
  • Model Development

Date and time:

1 to 4 June 2020, 17:30 to 19:30 (8 hours)

Room:

Online.

Language:

English.

Registration:

Send an email from your XXX@alumnos.upm.es address to david.luengo@upm.es including your name and the degree that you are enrolled in, no later than 29 May 2020.

Workload for attendants with certificate of achievement (*):

  • Students of the PhD Program in Systems and Services for the Information Society: 10 hours' worth of "specific seminars".

  • Undergraduate students: 0.5 ECTS.

Additional information:

To follow this seminar you will need a computer with Internet access.

 

Hardware Integration in Cyber-Physical Systems

Dr. Jesús Rodríguez Molina (Dept. de Ingeniería Telemática y Electrónica, UPM)

Table of contents:

  • Introduction to Cyber-Physical Systems:
    a. Main concepts
    b. Examples
    c. Challenges solved and challenges open
  • Introduction to hardware Integration:
    a. The need of hardware integration
    b. Middleware
    c. Low level interfaces
    d. Core services
    e. High level interfaces
  • Low level interfaces:
    a. Hardware abstraction
    b. Data formats: JavaScript Object Notation, eXtensible Markup Language
  • High level interfaces:
    a. REpresentation State Transfer (REST)
    b. Data formats: JavaScript Object Notation, eXtensible Markup Language
  • Practical use case: integration of sensor data:
    a. Sensor data
    b. REST clients
    c. Tomcat as a REST server
    d. Building a RESTful API
    e. Data visualization

Date and time:

11, 12, 18 and 19 May 2020, 15:30 to 17:30 (8 hours)

Room:

Online, using Microsoft Teams platform.

Language:

English.

Registration:

Send an email from your XXX@alumnos.upm.es address to jesus.rodriguezm@upm.es including your name and the degree that you are enrolled in, no later than Friday 8 May 2020.

Workload for attendants with certificate of achievement (*):

  • Students of the PhD Program in Systems and Services for the Information Society: 10 hours' worth of "specific seminars".

  • Undergraduate students: 0.5 ECTS.

Additional information:

To follow this seminar you will need a computer with Internet access and Microsoft Teams. To use Microsoft Teams first register with Office 365 as a UPM member (only necessary once) and then either access Teams through the browser or download the installer from the O365 website.

 

Writing in Engineering

Dr. Inmaculada Álvarez de Mon Rego (Departamento de lingüística aplicada a la Ciencia y la Tecnología, UPM)

This course will focus on the research paper in the field of engineering so as to prepare the student to work autonomously. The course will review the main characteristics of a good reseach paper and the terminology used in the literature related to academic writing.

Table of contents:

  • 1. Key concepts in writing about research in engineering.
  • 2. The research article. Sections and structure of a research paper.
  • 3. The writing process: the sentence and the paragraph.
  • 4. The abstract.

Date and time:

29 June, 1 July and 3 July 2020, 11:00 to 12:30 (4.5 hours)

Room:

Online, using Blackboard Collaborate through a Moodle site.

Language:

English.

Registration:

Send an email from your XXX@alumnos.upm.es address to sid.etsist@upm.es with subject = "Registration for Writing in Engineering", including your name and the degree that you are enrolled in, no later than Friday 19 June 2020.

Workload for attendants with certificate of achievement (*):

  • Students of the PhD Program in Systems and Services for the Information Society: 10 hours' worth of "transversal seminars".

Additional information:

To follow this seminar you will need a computer with Internet access. You will be enrolled in a Moodle site and will follow lessons through Blackboard Collaborate.