Network Wide Event 3 — QoE-Net Summer School 12th – 17th September 2016 University of Plymouth, Plymouth, UK

Invitation to the Summer School of QoE-NET

The first summer school of EU H2020 QoE-NET ( will be organized from 12th – 17th September 2016 at the University of Plymouth, UK. The University is located at the heart of a beautiful port city with a stunning waterfront on the south coast of Devon, in South West England (

The aim of the summer school is to train Early Stage Researchers (ESRs) to gain relevant knowledge and skills on interdisciplinary methods in QoE-related research from psychology perception, business decision making, signal processing, telecommunications/networks, Artificial Intelligence/Machine Learning (AI/ML), data analysis and relevant research methods. It will consist of 11 short courses delivered by well-known experts in the field, and three intense lab-based hands-on activities on data analysis, ML, and network virtualization /monitoring. The summer school will also contain a vibrant social event with watersports during the day, followed by an evening cruise along the Plymouth Sound & Tamar River. This will facilitate communications and networking among ESRs, their fellow PhD researchers, their supervisors/professors and senior researchers.

If you are a PhD student working in a similar area (e.g. QoE modelling and management, and adaptive video steaming), you are invited to participate in the summer school. Together with the 12 ESRs from QoE-Net, you will have an intensive training week, with hard-working and a full of fun.

This link contains further information on the followings:

How to apply?
Aims and Objectives of the Summer School
Draft Programme
Invited Speakers
Traveling to Pylmouth (by train)
Suggested Hotels near the University of Plymouth Main Campus

How to apply?

If you are a PhD student working in a similar area and are supported by your supervisor/your university for travel/accommodation (No registration fee is required), you can apply for participating in the summer school by sending an email to Dr. Lingfen Sun with cc to Dr. Is-Haka Mkwawa and Prof Luigi Atzori (emails see below). In the email, you need to explain to us why you are interested in the summer school and how the summer school will assist your PhD study. You also need to attach your CV when you apply.

Your request will be reviewed by the organizing committee of the summer school and will be confirmed by email for a space of attendance. As the capacity of the summer school is limited, the relevance of your PhD study and the First Come First Serve policy will be applied.

Aims and Objectives of the Summer School

The aim of the summer school is to train ESRs (and PhD students) to gain relevant knowledge and skills on interdisciplinary methods in QoE-related research. The main objectives of the summer school are to allow ESRs (and PhD students):

  • Learn interdisciplinary methods in QoE related research through short courses on psychology perception, signal processing, media delivery, business decision making, QoE modeling and monitoring/management.
  • Learn how to use relevant tools in statistical data analysis and machine learning and applying them for QoE modelling through group-based hands-on activities.
  • Learn how to setup virtual networks and monitoring QoS/QoE for video streaming over virtualized networks (SDN).
  • Learn methodologies in R&D and research impact.


  • A group-based research report and presentation slides on a specific topic through hands-on activities on data analysis, media transmission with QoE modelling and/or monitoring (one per group)
  • Raw materials (image and video) of various activities during the week
  • Individual report on the experience of the summer school


  • A certificate will be issued to ESRs/PhD researchers attending the summer school stating its equivalence for a 4 ECTS


Draft Programme


Day Morning Afternoon Evening
Mon (12th Sep) Arrival 15:00 – 15:30: Registration (Tea/Coffee)
15:30 – 15:40: Welcome speech from HoS or Dean
15:40 – 16:00: Overview of QoE-Net (Prof. Maria Martini from Kingston University, UK)
16:00 – 17:00: Short course 1: QoE assessment for light field and VR (Prof. Touradj Ebrahimi from EPFL, Switzerland)
17:00 – 17:30: break
17:30 – 18:30: Short course 2: QoE modelling for multimedia services – a retrospective view and prospective challenges (Dr. Lingfen Sun from UoP)
Note: The venue for all lecture sessions is at PSQA102, except IVT visit on Wednesday
Tue (13th Sep) 9:00 – 11:00: Short course 3: Making your mark: an introduction to research impact (Dr. Lucy Davies from UoP)
11:00 – 11:30 Tea/Coffee
11:30 – 12:30: Short course 4: Vision Perception (Dr. William Simpson from UoP)
13:30 – 14:30: Short course 5: Introduction of statistical analysis tools based on Matlab (e.g. PCA and ANOVA) (Dr. Asiya Khan)
15:00 – 17:00: Group-based hands-on activity on data statistical analysis for QoE modelling
17:00 – 18:00: Group work, report and presentation preparation
Note: venue at SMB108
Wed (14th Sep) 9:00 – 10:00: Short course 6: QoE with business decision making (Prof Shaofeng Liu from UoP)
10:00 – 11:00: visit the Immersive Vision Theatre ( with a presentation about IVT
11:00 – 11:30 Tea/Coffee
11:30 – 12:30: Short course 7: Research methods and data analysis (Prof Angelo Cangelosi from UoP)
13:30 – 14:30: Short course 8: introduction on how to use a machine learning tool based on Weka/Matlab (Dr. Emmanuel Jammeh)
15:00 – 17:00: Group-based hands-on activity on applying machine learning tools for QoE modelling
17:00 – 18:00: Group work, report and presentation preparation
Note: venue at SMB108
Thu (15th Sep) Social event
13:00 – 15:00 Keelboats or powerboats sailing at the Mount Batten Watersports and Activities Centre, Plymouth
18:30 – 21:30 Evening cruise along Plymouth Sound and Tamar (with dinner on the boat)

Fri (16th Sep) 9:00 – 10:30: Short course 9: QoE Management: Out of the Lab and Into the Real World (Dr. Martin Varela from VTT Finland)
10:30 – 11:00 Tea/Coffee
11:00 – 12:30: Short course 10: Quality of Experience assessment in Video Services — issues, methods and tips for the researcher (Prof Antonio Liotta from Eindhoven University of Technology, Netherlands)
13:30 – 14:30: Short course 11: Introduction to video streaming over virtualized networks (SDN) (Dr. Is-Haka Mkwawa)
15:00 – 17:00: Group-based hands-on activity on QoS/QoE monitoring for video streaming over SDN.
17:00 – 18:00: Group work, report and presentation preparation
Note: venue at SMB306
Sat (17th Sep) 9:00 – 10:00: group work & presentation preparation
10:00 – 12:00: Group presentation on a specific topic related with data analysis, machine learning, and QoE modeling / monitoring
(Group report will be submitted to supervisors after the summer school.)
12:00 – 14:00: Wrap-up meeting & Buffet lunch & certificate / feedback
After 14:00: Departure to London for TST3

Invited Speakers

The following speakers are invited to the summer school:

Dr. Martin Varela from VTT Finland 


Martín Varela received his PhD and MSc from the University of Rennes 1 (Rennes, France), in 2005 and 2002 respectively. He has been an ERCIM fellow, and spent time at SICS and VTT, where he is currently a Principal Scientist. He has been a guest Senior Researcher at the Cooperative Systems Group at the University of Vienna. He leads VTT’s work on QoE, and was a Finnish management committee member for COST Action IC1003 Qualinet. He is currently co-chair for the IEEE MMTC QoE Interest Group. His research interests lie in the QoE domain, in which he has been active since 2002, with a particular focus on real-time QoE models for generic services, and applications thereof. He is particularly interested on issues related to QoE-driven cross-layer control, resource management and business applications.

Prof. Dr. Antonio Liotta from Eindhoven University of Technology, Netherlands

Prof. Liotta Prof. Liotta and his team explore network and data science in the context of complex communications and smart sensing, particularly Data Mining and the Internet of Things. He studies new network concepts that will allow us to tackle the IoT data deluge as a distributed data-mining problem, bringing future internet research efforts alongside data science. His group has pioneered the concept of learning networks, which has the potential to reshape the networks of the future. His work on smart networks has been featured in IEEE Spectrum (The cognitive Net is coming, 2013) and has recently reached an important milestone with the demonstration of miniature machine learning processes within sensors having as little as 10Kbytes of memory. In 2015 he received the valorization award by the Eindhoven University of Technology.




Prof. Dr. Angelo Cangelosi from Plymouth University, United Kingdom

 Angelo Cangelosi is Professor of Artificial Intelligence and Cognition and the Director of the Centre for Robotics and Neural Systems at Plymouth University (UK). Cangelosi studied psychology and cognitive science at the Universities of Rome La Sapienza and at the University of Genoa, and was visiting scholar at the University of California San Diego and the University of Southampton. Cangelosi’s main research expertise is on language grounding and embodiment in humanoid robots, developmental robotics, human-robot interaction, and on the application of neuromorphic systems for robot learning. He currently is the coordinator of the UK EPSRC project “BABEL: Bio-inspired Architecture for Brain Embodied Language” (2012-2016) and of the EU H2020 Marie Skłodowska-Curie European Industrial Doctorate “APRIL: Applications of Personal Robotics through Interaction and Learning” (2016-2019), in partnership with Aldebaran. He also is Principal investigator for the ongoing projects “THRIVE” (US Air Force Office of Science and Research, 2014-1018), the F2020 project MoveCare (2017-2019), and the Marie Curie projects SECURE ETN, DCOMM ETN, and IF ORATOR and DECORO. Overall, he has secured over £15m of research grants as coordinator/PI. In 2012-13 he was Chair of the IEEE Technical Committee on Autonomous Mental Development. Cangelosi is Editor (with K. Dautenhahn) of the journal Interaction Studies, and in 2015 was Editor-in-Chief of IEEE Transactions on Autonomous Development. His latest book “Developmental Robotics: From Babies to Robots” (MIT Press; co-authored with Matt Schlesinger) was published in January 2015.

Dr. William Simpson from Plymouth University, United Kingdom

 Dr. Simpson is an Associate Professor (Reader) in the School of Psychology, Plymouth University. He received his Ph.D from University of Toronto (1987), and has held appointments at Defence Research and Development Canada, Glasgow Caledonian University (Vision Sciences), University of Winnipeg, and York University. His lab studies how human vision works, using brain measurements (fNIRS) and behavioural techniques (psychophysics). Current projects focus on fNIRS recordings of responses to simple visual patterns, and medical image perception. Other research topics include motion perception, pattern perception, face perception, visual reaction time, ideal observer models, perceptual development, and individual differences in vision.


Prof. Dr. Shaofeng Liu from Plymouth University, United Kingdom

Dr. Shaofeng Liu is Professor of Operations Management and Decision Making at University of Plymouth, UK. She is the Postgraduate Research Co-ordinator (MPhil/PhD) for Graduate School of Management and Plymouth Business School. She obtained her PhD degree from Loughborough University, UK. Her main research interests and expertise are in knowledge-based techniques to support business decision making, particularly for lean operations, process improvement, resource management, quality management, and supply chain management. She is currently supervising 12 PhD students in relevant research areas. She is the Associate Editor for Journal of Decision Systems (JDS) and Senior Editor for Cogent Business and Management, and on Editorial Boards for a number of journals. She has undertaken a number of influential research projects funded by UK research councils and the European Commission with a total value over €40M. She is currently principal investigator and co-investigator for 4 EU projects (3 of which are funded by Horizon 2020 and one by Erasmus Plus) and 1 project funded by UK research council – Innovate UK. She has published over 140 peer-reviewed research papers. For more details, please refer to her professional website:

Prof. Dr. Touradj Ebrahimi from École Polytechnique Fédérale de Lausanne (EPFL), Switzerland

Touradj EBRAHIMI is a Professor at EPFL heading its Multimedia Signal Processing Group (MMSPG). Prof. Ebrahimi has been the recipient of various distinctions and awards, such as the IEEE and Swiss national ASE award, the SNF-PROFILE grant for advanced researchers, Four ISO-Certificates for key contributions to MPEG-4 and JPEG 2000, and the best paper award of IEEE Trans. on Consumer Electronics. He became a Fellow of the international society for optical engineering (SPIE) in 2003. He has initiated more than two dozen National, European and International cooperation projects with leading companies and research institutes around the world. Prof. Ebrahimi is the Convener of JPEG standardization committee and also serves as the head of the Swiss delegation to MPEG, JPEG and SC29.
He is or has been associate Editor with various IEEE, SPIE, and EURASIP journals, such as IEEE Signal Processing Magazine, IEEE Trans. on Image Processing, IEEE Trans. on Multimedia, EURASIP Image Communication Journal, EURASIP Journal of Applied Signal Processing, SPIE Optical Engineering Magazine. His research interests include still, moving, and 3D image processing and coding, visual information security (rights protection, watermarking, authentication, data integrity, steganography), new media, and human computer interfaces (smart vision, brain computer interface). He is the author or the co-author of more than 200 research publications, and holds 14 patents.

Dr. Asiya Khan from University of Plyomouth, United Kingdom

Dr Asiya Khan is a lecturer in Control Systems Engineering in the school of Marine Science and Engineering at Plymouth University and a member of the Autonomous Marine Systems (AMS) research Group. Her research focuses on multimedia quality of service and control over wireless channels. She has published several papers in international journals and conferences and has won a ‘best paper award’ for one of her papers.
She received her BEng (Hons) in Electrical and Electronic Engineering from Glasgow University, MSc in Communication, Control and Digital Signal Processing from Strathclyde University and PhD in Multimedia Communications and Control from Plymouth University. Her research interests include video quality of service over wireless networks, adaptation, perceptual modelling, content-based analysis, vehicle-to-vehicle networking and control and control education.



Dr. Emmanuel Jammeh from University of Plymouth, United Kingdom

Dr. Emmanuel Jammeh is a Research Fellow in biomedical data analysis at Plymouth University since 2014. His current research interests are in the use of machine learning techniques for the early diagnosis of Alzheimer’s Disease (AD). He previously worked as a postdoctoral research fellow in multimedia networking at Plymouth University from 2008 to 2014. Prior to this he worked at Essex University as a senior research fellow in video networking and rate adaptive video streaming techniques from 2005 to 2008. He received his PhD in Electronics Systems Engineering from Essex University in 2005. He has extensive experience in video streaming and QoE prediction and management techniques.



Dr. Is-Haka Mkwawa from University of Plymouth, United Kingdom

Is-Haka Mkwawa received his PhD in computing from the University of Bradford, UK. He has been working in various capacities on EU FP6, FP7 and Horizon 2020 projects since 2002 with the University of Bradford, the University College Dublin and the University of Plymouth. These projects included IASON (2002-2004), Euro-NGI (2003-2005), Euro-FGI (2005-2008), Science Foundation Ireland (2005-2006), FP6 Vital (2006-2008), FP7 ADAMANTIUM (2008-2010) and FP7 GERYON (2011-2014). He has authored several refereed publication, and co-authored “Guide to Voice and Video Over IP: For Fixed and Mobile Networks (Springer, 2013)” book. His research interests include IMS media plane security for next generation of emergency communication and services, QoE control and management, mobility management in mobile and wireless networks, Software Defined Networking, power saving in IoT, overlay networks, performance analysis and evaluation of IMS mobility management, parallel computing, and collective communication.



Dr. Lucy Davies from University of Plymouth, United Kingdom

Dr. Lucy Davies is the Research Impact Officer for Plymouth University, based in the Research Support and Development team in Research & Innovation. Passionate about encouraging researchers to make their work matter in the world outside academia. Her role in the University is to support and encourage researchers at all stages of their career to engage with non-academic audiences and maximise their economic, societal and community impact. She has also experience as Research Facilitator for the Cognition Institute and she has a research background in computational neuroscience and applied health research.






Prof. Dr. Luigi Atzori from University of Cagliari, Italy

Luigi Atzori is Associate Professor of the Department of Electrical and Electronic Engineering at the University of Cagliari (Italy) since 2009 and Research Associate at the Multimedia and Communications Laboratory of CNIT (Consorzio Nazionale Interuniversitario per le Telecomunicazioni). Dr. Atzori received his Ph.D. degree in electronic engineering and computer science from the University of Cagliari in 2000. He spent the seven months from November 2003 to May 2004 at the Department of Electrical and Computer Engineering, University of Arizona, as Fulbright Visiting Scholar.
L. Atzori research interests are in multimedia communications and computer networking (wireless and wireline), with emphasis on multimedia QoE, multimedia streaming, NGN service management, service management in wireless sensor networks, architecture and services in the Internet of Things. Recently, he has been involved in projects related to QoS management in NGN networks, context-aware multimedia information provisioning, commissioning and monitoring in wireless sensor networks, architecture for adaptive networked embedded systems. He is currently the Coordinator of the QoENet ITN Marie Curie project. He has published more than 120 journal articles and peer-reviewed conference papers, and has one national patent. His research has been funded by European, national, regional and industrial grants.
L. Atzori is senior member of IEEE (since 2009) and steering committee chair of the IEEE Multimedia Communications Committee (MMTC). He has been the editor for the ACM/Springer Wireless Networks Journal and guest editor for the IEEE Communications Magazine, the Springer Monet Journal and the Elsevier Signal Processing: Image Communications Journal. He serves as associate editor for many journals, included the Ad Hoc Networks Journal and the IEEE IoT Journal. He served as a technical program chair for various international conferences and workshops, including MobiMedia and VLBV. He served as a reviewer and panelist for many funding agencies, including FP7, Cost, Italian MIUR and Regional funding agency. He frequently consults for companies in the telecommunications and multimedia sectors.

Dr. Lingfen Sun from University of Plymouth, United Kingdom

Dr. Lingfen Sun has been a Reader (Associate Professor) in Multimedia Communications and Networks at the University of Plymouth, UK since 2010. She received her PhD in Computing and Communications from the University of Plymouth in 2004. She has been involved in several European and industry funded projects including H2020 QoE-Net (as PI and WP leader, 2015-18), FP7 GERYON (as Scientific Manager and PI, 2011-14), COST Action QUALINET (2010-14), FP7 ADAMANTIUM (as co-PI and WP leader on PQoS modelling, 2008-10), FP6 BIOPATTERN (as subproject leader on BIOPATTERN Grid, 2004-08) and led an industry funded project on multimedia quality over 3G networks (2006-07). She has published one book on VoIP, over 80 scientific papers since 2000, and filed one patent. She was the founding Chair of QoE Interest Group (QoEIG) of IEEE MMTC (2010 – 2012), Symposium Co-Chair of CSSMA for IEEE ICC 2014, MMTC Award Board Member (2012 – 2014), Publicity Co-Chair of IEEE ICME 2011, Post & Demo Co-Chair of IEEE Globecom 2010. She has been Guest Editor for IEEE Journal of Selected Areas in Communications and Springer Telecommunications System Journal. She currently serves as an Associate Editor for IEEE Transactions on Multimedia. Her research interests include multimedia quality assessment and management for multimedia over mobile/IP networks; mobile resource management; SDN/NFV; QoS/QoE, and multimedia services for emergency communications and eHealthcare.

Prof. Dr. Maria Martini from Kingston University London, United Kingdom

Maria Martini is (full) Professor in the Faculty of Science, Engineering and Computing in Kingston University, London, where she also leads the Wireless Multimedia Networking Research Group and she is Course Director for the MSc in “Networking and Data Communications”.She received the Laurea in electronic engineering (summa cum laude) from the University of Perugia (Italy) in 1998 and the Ph.D. in Electronics and Computer Science from the University of Bologna (Italy) in 2002. She is a Fellow of The Higher Education Academy (HEA). She has led the KU team in a number of national and international research projects, funded by the European Commission (e.g., OPTIMIX, CONCERTO, QoE-NET, Qualinet), UK research councils, UK Technology Strategy Board, and international industries.
An IEEE Senior Member and Associate Editor for IEEE Transactions on Multimedia (2014-2016), she has also been lead guest editor for the IEEE JSAC special issue on “QoE-aware wireless multimedia systems” (2012) and guest editor for the IEEE Journal of Biomedical and Health Informatics and the Int. Journal on Telemedicine and Applications among others. She was general chair of the ICST/ACM MOBIMEDIA 2009 conference and of EUMOB 2008. She has co-organised the first, second, and third IEEE international workshop on Service Science for e-Health (SSH 2013, 2014, and 2015), the IEEE Hot3D workshop 2015, the first workshop on Wireless Solutions for Healthcare Applications (2014), the IEEE Workshop on Streaming and Media Communications (ICME 2011) and the First International Workshop on Cross-Layer Operation Aided Multimedia Streaming (IEEE VTC 2011). She coordinated (2008-2010) the edition of the Strategic Applications Agenda (SAA) on mobile health and inclusion applications in the eMobility European Technology Platform. She is part of international committees and expert groups, including the Net!Works European Technology Platform expert group and the IEEE Multimedia Communications technical committee, where she serves as vice-chair (2014-2016) and she has served as chair (2012-2014) of the 3D Rendering, Processing, and Communications Interest Group and as key member of the QoE and multimedia streaming IG. Her research interests include wireless multimedia networks, cross-layer design, joint source and channel coding, 2D/3D error resilient video, 2D/3D video quality assessment, and medical applications. She is the author of over 100 international scientific articles and book chapters, and the inventor of several patents on wireless video.

Travelling to Plymouth (by train)

Travelling to Plymouth from London Airports

  1. If you arrive at Heathrow airport, you can catch the Heathrow Express train, which runs every 15 minutes to Paddington Station in London from where you can catch the train to Plymouth.
  2. If you arrive at Gatwick you can catch the Thames Trains Service to Reading Station, where you will join the train to Plymouth. These services are approximately hourly.
  3. If you arrive at Stansted you can catch the Stansted Express to London Liverpool Street. This service runs every 30 minutes and takes up to an hour. Once you have arrived at Liverpool Street take the Underground (Circle/yellow or Hammersmith & City/pink Line) or a taxi to London Paddington. You can then join the direct train to Plymouth.
  4. The journey from London Paddington to Plymouth takes 3-4 hours and will cost approximately £100 (for a return ticket). Check train timetables and ticket prices at or  The train station in Plymouth is very close to the campus and the city centre.


Travelling to Plymouth from Exeter or Bristol Airport

There is also flight from Paris, Berlin, Geneva etc. to Exeter via or to Bristol (

From Exeter there are several trains to Plymouth in most hours. Avoid the local ‘stopping’ trains if you can, as they are slow and less comfortable. From Bristol there is one inter-city train per hour operated by Cross-Country, plus occasional local and intercity trains by other operators.

Suggested Hotels near the University of Plymouth Main Campus

  1. Copthorne hotel Plymouth: It is just 5 minutes to/from the University of Plymouth and train station on foot.
  2. Jurys Inn Plymouth hotel: It is just 10 minutes to/from the University of Plymouth and train station on foot.
  3. Holiday Inn Plymouth: It is just 15 minutes to/from the University of Plymouth and train station on foot (note: the hotel is near the sea front).
  4. More information about Plymouth can be found at