Seminars

The MAP-Tele Seminars includes a series of invited talks, and two additional modules: Research Methodologies and  Introduction to Entrepreneurship.

The talks are on telecommunications.

MAP-Tele Seminars grading takes into account the participation in the talks and in both modules.

Talks scheduled for 2015/2016:

1 Speaker: Mário Pereira, INESC TEC
TitleExtraction of Material Parameters Using Microwave Techniques
30.10.2015, 10h30
2 Speaker: Ricardo Morla, UP/INESC TEC
TitleBig Data Packet Traffic Analysis
06.11.2015, 10h30
3 Speaker: Henrique Salgado, UP/INESC TEC
TitleWireless Over Fiber Systems Based on 1.55 µm Directly Modulated VCSELs (slides)
13.11.2015, 10h30
4 Speaker: NA
Title
20.11.2015, 10h30
5 Speaker: Rui Campos, UP/INESC TEC
TitleThe Maritime Internet of Everything
27.11.2015, 10h30
6 Speaker: Atílio Gameiro, UA/IT
TitleCooperative PHY communications
04.12.2015, 10h30
7 Speaker: Nuno Borges de Carvalho, UA/IT
Title: Waveform Design for RF-DC Improved Efficiency
11.12.2015, 10h30
8 Speaker: Helena Rodrigues, UM/Centro Algoritmi (TBC)
TitleSmart City Infra-structures 
18.12.2015, 10h30
9 Speaker: Pétia Georgieva, UA
TitleMachine learning for Big Data processing (slides)
08.01.2016
10 Speaker: Mário Lima & António Teixeira, UA/IT
Title: Next Generation PON & Advanced components (PIC)
15.01.2016
11 Speaker: Paulo Cortez, UM/Centro Algoritmi
TitleData Mining and Computer Networks (slides)
 22.01.2016
12 Speaker: José Carlos Pedro 
TitleNonlinearity in Wireless Communication Systems (slides)
 29.01.2016

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Seminar 1

Speaker: Mário Pereira, INESC TEC
BiographyMário Pereira graduated in 2006 in Electrical and Computer Engineering from the Faculty of Engineering of the University of Porto (FEUP), Portugal. In 2014 he concluded his PhD in the area of microwave engineering, at FEUP and INESC TEC. He has experience in the design of low noise and high power amplifiers, filters, antennas and couplers, supported by Ansys HFSS and ADS. His research interests include the synthesis of microwave devices by inverse scattering, layer peeling algorithm, antennas, frequency selective surfaces and advanced impedance matching techniques.

TitleExtraction of Material Parameters Using Microwave Techniques
AbstractThe knowledge of complex properties of dielectric materials is of key importance for the design of microwave and millimeter-wave components, as well as other research areas such as material science and biological research. On the area of RF/Microwave research, the dielectric measurement of both electrical and magnetic properties of materials proves to be of upmost importance, specially in the development of novel components such as, printed circuits substrates, antenna lenses and absorbers, to name a few.  There are several well-known techniques and methods for the measurement of complex permittivity and permeability. Each method is restricted to specific frequencies, materials and applications. In our presentation, different measurement techniques shall be discussed with particular emphasis on the "free space method".

Seminar 2

Speaker: Ricardo Morla, UP/INESC TEC
BiographyRicardo Morla is an assistant professor at the University of Porto. He teaches and does research at the Electrical and Computer Engineering Department at FEUP and at INESC Porto. His research interests are in management and control of IT systems and networks. He uses data analysis techniques and large-scale coordination techniques to help manage enterprise networks, IT services and infrastructure, and ambient intelligence systems. Ricardo holds a PhD in Computing from Lancaster University. He was a lecturer and post-doc at UC Irvine in 2007, and a visiting faculty at Carnegie Mellon University in 2010 under the CMU-Portugal program. He runs the Network and Services Laboratory at FEUP. .

TitleBig Data Packet Traffic Analysis
AbstractAnalyzing network packet traffic is critical to network performance, fault, and security management. With the increase of traffic volume, big data techniques for traffic analysis are called for. In this talk I will first review standard traffic analysis techniques with an emphasis on traffic classification, provide a brief overview of the Map Reduce paradigm for Big Data analysis, and then discuss the challenges of applying Big Data techniques on traffic analysis. I will wrap up with identifying a set of challenges for traffic analysis.

Seminar 3

Speaker: Henrique Salgado, UP/INESC TEC
Biography:  Henrique M. Salgado graduated in Applied Physics (Optics and Electronics) from the University of Porto in 1985 and received the PhD degree in Electronic Engineering and Computer Systems from University of Wales in 1993. He joined the Department of Electrical Engineering and Computers of the University of Porto in 1999 as an Invited Assistant Professor and in 2003 he became Associate Professor. Since 1995 that he heads the Optical Communications and Microwaves Group at INESC TEC, being responsible for several national and internationally funded (EU) research projects. From 1997-1999 he was Research Fellow at the Department of Electrical and Electronic Engineering of the University College London, UK and previously Research Assistant at the School of Electronic Engineering and Computer Systems, Bangor, UK. He is the author and co-author of numerous international publications in the field of optical fibre communications and microwaves. His current research interests include: radio-over-fiber technology and microwave photonics, digital equalization in coherent optical systems, all-optical networks, modeling of nonlinearities and design of compact multiband antennas. He is a member of the Photonics and Communications societies of the IEEE.

TitleWireless Over Fiber Systems Based on 1.55 µm Directly Modulated VCSELs
AbstractRadio-over-fiber technology, used in the transport of radio signals over optical fiber by means of an optical carrier between a remote site and a central node of a cellular network, is an attractive solution for backhauling of a large number of remote antennas, enabling the shifting of the hardware complexity from base stations to a central station. Integration of both optical and wireless broadband infrastructures into the same backhaul network leads to significant simplification and cost reduction of base stations permitting equipment sharing and dynamic allocation of resources, which in turn leads to simplified system operation and maintenance. Wireless systems on the other hand are evolving rapidly and new standards are appearing, such as the Long-Term Evolution aiming at satisfying the required need for increasing bandwidth. Radio-over-fiber systems are known to be susceptible to noise and non-linear distortion in particular to the large peak-to-average power ratio of orthogonal frequency division multiplexing signals employed in these standards. In this work we compare, experimentally and through simulation, the performance of orthogonal frequency division multiplexing and single carrier frequency division multiple access signals, in radio-over-fiber applications, using directly modulated VCSELs.


Seminar 4

Speaker
Title
Abstract:
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Seminar 5

Speaker: Rui Campos, UP/INESC TEC
BiographyIn this talk I will go through the research work we have been doing at INESC TEC on maritime wireless networks, in order to enable the Maritime Internet of Everything paradigm in the long term. I will start with our vision and target environments, including airborne, surface, and underwater. Then, I will refer to ongoing R&D projects and theses within this area of research, including the resulting prototypes and testbeds. I will conclude the talk with a reference to the opportunities and challenges within the maritime wireless networks area.

TitleThe Maritime Internet of Everything
AbstractRui Campos has a PhD degree in Electrical and Computers Engineering in 2011 from University of Porto. He is the coordinator of the “Wireless Networks” research area at INESC TEC and he has been an invited Assistant Professor at University of Porto. He is the author of 40+ scientific publications in international conferences and journals with peer review. He has coordinated several research projects and participated in several EU research projects, and he is currently the coordinator of the BLUECOM+ project. His research interests include wireless mesh networks, maritime networks, underwater radio networks, and .flying multi-hop ad-hoc networks, with special focus on the following aspects: medium access control, radio resource management, mobility management, and network autoconfi.guration.
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Seminar 6

Speaker: Atílio Gameiro, UA/IT
BiographyAtílio Gameiro received his Licenciatura (five years course) and his PhD from the University of Aveiro in 1985 and 1993 respectively. He is currently a Professor in the Department of Electronics and Telecom. of the University of Aveiro, and a researcher at the Instituto de Telec., Pólo de Aveiro, where he is head of group. His industrial experience includes a period of one year at BT Labs and one year at NKT Elektronik. His main interests lie in signal processing techniques for digital communications and communication protocols, and within this research line he has done work for optical and mobile communications, either at the theoretical and experimental level, and has published over 200 technical papers in International Journals and conferences. His current research activities involve space-timefrequency algorithms for the broadband wireless systems and cross-layer design. He has been involved and has led IT or Univ of Aveiro participation on more than 20 national and European projects, namely the IST projects ASILUM, MATRICE, 4MORE, ORACLE, ICT, QOSMOS, ASPIRE. He has coordinated CODIV and performed the technical management of the IP FUTON.

Title: Cooperative PHY communications
AbstractIn the last years a new class of methods called cooperative communications has been proposed to enable high spectral efficiency in a multi-user environment. The principles are based on the sharing or cooperation between antennas to generate a virtual multiple-antenna transmitter that allows them to achieve transmit diversity and enhance fairness. The talk reviews the principles of MIMO, the trends in wireless communications  and presents an overview of the developments in this field.

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Seminar 7

Speaker: Nuno Borges Carvalho, UA/IT
Biography: Nuno Borges Carvalho (S’97–M’00–SM’05-F’15) was born in Luanda, Angola, in 1972. He received the Diploma and Doctoral degrees in electronics and telecommunications engineering from the University of Aveiro, Aveiro, Portugal, in 1995 and 2000, respectively. He is currently a Full Professor and a Senior Research Scientist with the Institute of Telecommunications, University of Aveiro and an IEEE Fellow. He coauthored Intermodulation in Microwave and Wireless Circuits (Artech House, 2003), Microwave and Wireless Measurement Techniques (Cambridge University Press, 2013) and White Space Communication Technologies (Cambridge University Press, 2014). He has been a reviewer and author of over 200 papers in magazines and conferences. He is associate editor of the IEEE Transactions on Microwave Theory and Techniques, IEEE Microwave Magazine and Cambridge Wireless Power Transfer Journal. He is the co-inventor of four patents. His main research interests include software-defined radio front-ends, wireless power transmission, nonlinear distortion analysis in microwave/wireless circuits and systems, and measurement of nonlinear phenomena. He has recently been involved in the design of dedicated radios and systems for newly emerging wireless technologies. Dr. Borges Carvalho was the co-chair of the IEEE MTT-20 Technical Committee and the past-chair of the IEEE Portuguese Section. He is also the chair of the URSI-Portugal Metrology Group. He was the recipient of the 1995University of Aveiro and the Portuguese Engineering Association Prize for the best 1995 student at the University of Aveiro, the 1998 Student Paper Competition (Third Place) of the IEEE Microwave Theory and Techniques Society (IEEE MTT-S) International Microwave Symposium (IMS), and the 2000 IEE Measurement Prize.

TitleWaveform Design for RF-DC Improved Efficiency
Abstract: In this talk we expect to discuss and explain how to design special signals to improve RF-DC conversion efficiency and DC voltage. In this approach the talk will be focus on multi-sine, and multi-carrier modulated waveforms for the improvement of RF-DC characteristics, a brief example will also be showed during the presentation.
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Seminar 8

Speaker: Helena Rodrigues, UM/Centro Algoritmi
BiographyHelena Rodrigues is an Assistant Professor at the University of Minho in Portugal, where she is a member of the Ubicomp@UMinho research group, Algoritmi centre. She did her undergraduate studies and received her MSC degree in Computer Science at Universidade do Minho, Portugal. She received her PhD degree in Computer Science from the University of Kent, UK, in 1998. Her current research interests include methodologies and infra-structures for the development of applications for Ubiquitous Computing. Helena Rodrigues has participated in several national and international research projects in the field of Mobile and Ubiquitous Computing, being PD-NET (FET-­OPEN/244011/2010)), MOBIPAG(ADI-­QREN/13847/2011) or PCSA (EXPL/EEI-­SII/0902/2012) the most recent ones. She is currently participating in the Connected car project with Bosch, Portugal. She has authored and co-authored several research papers in international workshops, conferences and journals. She has served as reviewer in international conferences and international journal such as Personal and Ubiquitous Computing, Journal of Location Based Services, Interacting with Computers or Sensors journals. .

TitleSmart City infra-structures
Abstract TBD.

Seminar 9

Speaker: Pétia Georgieva UP/INESC TEC
BiographyPétia Georgieva is a lecturer at the Department of Electronics Telecommunications and Informatics, University of Aveiro. She was elected as the Head of Signal Processing Lab, Institute of Electronics Engineering and Telematics of Aveiro (IEETA) for the period 2009- 2013. Over the last 10 years she has thought a number of core subjects in the area of Electrical Engineering and Artificial Intelligence, as for example Signal Processing, Control Systems, Data Mining and Machine learning, for undergraduate and graduate students. Dr. Georgieva thought Machine Learning subject as a visiting faculty in Computer Science Department, Carnegie Mellon University (CMU), USA in the Fall of 2012. She was invited lecturer in the Computer Science Department, University of Arkansas at Little Rock, USA in the Spring of 2011, and invited lecturer in the School of Computing and Communications, University of Lancaster, UK in 2011. Dr. Georgieva has built her research group in the area of machine learning with strong focus on brain study applications like Brain Machine Interface and brain neural activity recovering. She has published more than 80 papers in peer reviewed journals and international meetings. She is a Senior member of IEEE, Senior Member of International Neural Network Society (INNS) and Elected Member of the Executive Committee of the European Neural Network Society (ENNS) for the next three years (2014-2016).

TitleMachine Learning for Big Data Processing
AbstractMachine Learning (ML) is a subfield of artificial intelligence that is concerned with the design, analysis, implementation, and applications of programs that learn from examples or experience. Learning from data is commercially and scientifically important. ML consists of methods and respective software that extract automatically interesting knowledge (patterns, models, relationships) in large databases of sometimes chaotic and redundant information. ML is a data-based knowledge-discovering process that has the potential not only to analyze events in retrospect but also to predict future events or important alterations. The objective of this lecture is to introduce the PhD students to the research area of ML. The lecture will give a flavor of Supervised (classification and regression) versus Unsupervised (clustering) learning paradigms. Distance (similarity) measures, instance based classifiers, Bayesian statistical learning, and performance evaluation (confusion matrix). ML applications, such as text mining, image classification, brain data processing will be discussed.

Seminar 10

Speaker: Mário Lima and António Teixeira
Speakers: Mário J. N. Lima is currently an Assistant Professor at the Department of Electronics, Telecommunications and Informatics of the University of Aveiro and Researcher at the Institute of Telecommunications – Aveiro, in the optical communications group, where he participated in several national (FCT and QREN support) and international projects included in the European Union (EU) Telecommunications R&D Programs: ACTS and IST. He has also collaborated in reviewing process of IST-FP7 projects (HECTO).He received the Licenciatura degree in Electronics Engineering and Telecommunications, in July of 1994, the M.Sc. degree in Telecommunications Systems, in June of 1998, and the Ph.D. degree in Electrical Engineering, in July of 2003, all from the University of Aveiro, Portugal.His research interests include architectures/technologies for Next-Generation Passive Optical Networks, RF over fiber technologies, advanced modulation formats, optical filtering and add/drop multiplexing in DWDM optical networks, dispersion compensation and monitoring, fiber Bragg gratings for sensor and telecommunications applications and all-optical processing.

TitleNext Generation PON & Advanced components (PIC)
Abstract: It will be presented some results of the research developed in Instituto de Telecomunicações - Aveiro, on Next Generation - Passive Optical Networks (PON), considering PON evolution, future optical access networks (FOAN) trends, coexistence with legacy scenarios and propagation through alternative media (e.g. free space optics). In the scope of FOAN, with increasing demand of data rate and power consumption optimization, it will be presented some advances in Photonic Integrated Circuits development.

Seminar 11

Speaker: Paulo Cortez
BiographyPaulo Cortez (PhD in Computer Science) is Associate Professor (with tenure, Habilitation in Information Systems and Technologies) at the Department of Information Systems, University of Minho, and Coordinator of theInformation Systems and Technologies  (IST) research group of ALGORITMI Centre. His research interests include: Business Intelligence: Data Mining, Decision Support Systems and Forecasting; and Artificial Intelligence (AI): Neural Networks; Evolutionary Algorithms and AI Applications. He is co-author of more than one hundred indexed (e.g. ISI, Scopus) publications in international peer reviewed journals (e.g. Journal of Heuristics, Decision Support Systems, Neurocomputing, Information Sciences) and conferences (e.g. IEEE IJCNN, CIDM). Web page: http://www3.dsi.uminho.pt/pcortez/

TitleData Mining and Computer Networks
AbstractThis seminar briefly presents the area of Data Mining and related terms (e.g. Big Data, Data Science, Machine Learning, Decision Support Systems, Business Intelligence). Then, some data mining methods and applications are presented. A particular focus is given regarding the application of Data Mining to the Computer networks field (e.g., Internet Traffic Forecasting, Spam Email detection using Network Level properties).

Seminar 12

Speaker: José Carlos Pedro
BiographyJosé C. Pedro received the diploma, doctoral and habilitation degrees in electronics and telecommunications engineering, from University of Aveiro, Portugal, in 1985, 1993 and 2002, respectively. From 1985 to 1993 he was an Assistant Lecturer at University of Aveiro, and a Professor since 1993. Currently he is a Full Professor at the same University, and a Senior Research Scientist at the Institute of Telecommunications. His main scientific interests include active device modeling and the analysis and design of various nonlinear microwave circuits, in particular, the design of highly linear multi-carrier power amplifiers and mixers. He is the leading author of Intermodulation Distortion in Microwave and Wireless Circuits (Artech House, 2003), has authored or co-authored more than 200 papers in international journals and symposia, and served the IEEE in the Portuguese MTT/AP/ED Joint Chapter, the MTT-11 Technical Committee and as a reviewer and Associate Editor for the MTT Transactions and reviewer for the MTT-IMS and the EuMC. Prof. Pedro has served his university department as the Coordinator of the Scientific Council and as the Department Head. Prof. Pedro received the Marconi Young Scientist Award in 1993 and the 2000 Institution of Electrical Engineers (IEE) Measurement Prize. In 2007 he was elected Fellow of the IEEE for his contributions to the nonlinear distortion analysis of microwave devices and circuits. Currently, he is an IEEE MTT-S Distinguished Microwave Lecturer.

TitleNonlinearity in Wireless Communication Systems
AbstractDespite the many studies that have been undertaken to understand nonlinearity in wireless communication systems, most undergraduate electrical engineering programs are still confined to linear analysis and design tools, hiding the significant advances we have been witnessing in the recent years.  So, this seminar will reveal the ubiquitous presence of nonlinearity in all wireless communication circuits and the recent efforts made to understand, model, predict, and measure its diverse manifestations. We aim to bring telecommunications engineers’ attention to newly available techniques, and attract young researchers to pursue PhD studies on this scientifically exciting topic. Starting with some elementary properties of nonlinear systems (like nonlinear signal distortion, harmonic generation, frequency conversion and spectral regrowth), we will show that nonlinearity is present in all wireless circuits, either to perform a desired signal operation or as unintentional distortion. This way, we will show how wireless communications could not exist without nonlinearity, while we still struggle to get rid of its distortion effects. After this overview, we will introduce some recent advancements in nonlinear wireless circuit analysis tools and illustrate different types of models that are currently being used to represent and predict device, circuit, and system performance. Finally, we will focus the seminar on the newly developed lab instruments and their ability to assess device performance.