Training Schools

ETH Zürich, September 6 - 7 | 2022

Barcelona, March 7 - 11 | 2022

AALTO, October 11 - 15 | 2021

Painless & WindMill, May 5 - 6 | 2021

Stockholm, September 28 - October 2 | 2020

Paris, March 2 - 5 | 2020

Aalborg, November 18 - 21 | 2019

ETH Zürich, September 6 - 7 | 2022

Training program

Day 1: Tuesday, September 6 2022

Time	Topic	Leader
11.00 – 11.45	Applying for European Funding	Seraina Munton from ETH Zurich Grant services
12:30 to 14:00	Connecting AI research and entrepreneurship	Paulina Grnarova, CEO and co-founder of Deepjudge

Day 2: Wednesday, 7 September 2022

Time	Topic	Leader
8:30 to 10:00	Link for presentation	Marios Kountouris (Eurocom)
10:30 to 12:00	Google Switzerland — Opportunities and Challenges when working for a large software company.	Goekan Bakir Google
13:00 to 14:30	Finite Blocklength Information Theory for Wireless Communications	Tobias Koch. Associate prof. in Madrid.

Day 3: Wednesday, September 8 2022

Time	Topic	Leader
09:05 to 09:40	Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications	Matteo Zecchin
09:40 to 10:15	Analysis of System Wide Optimization Schemes based on Anticipatory Techniques for Next Generation Wireless Networks	Anay Ajit Deshpande (online)
10:45 to 11:20	Spectrum-Efficient Human-Centric Sensing using mmWave FMCW Radars	Dariush Salami
11:20 to 11:55	Optimizing URLLC Metadata and Data Flows Using Machine Learning	Chien-Cheng Wu
13:00 to 13:35	On the Learning of Random Access Schemes for Machine-Type Communication	Muhammad Jadoon
13:35 to 14:10	Log marginal likelihood estimation for deep generative models	Shirin Goshtasbpour
14:10 to 14:45	Pilot Reuse Strategies in Cell-Free Massive MIMO Systems	Salman Mohebi Ganjabadi
15:15 to 15:50	Predictive Machine Learning for Multiuser Beamforming	Cristian Vaca Rubio
15:50 to 16:25	Subspace Based Channel Clustering in Massive MIMO	Roberto Pereira

Day 4: Thursday, September 9 2022

Time	Topic	Leader
08:35 to 09:10	Enabling 6G wireless systems with Bayesian methods	Sergey Tambovskiy
09:10 to 09:45	Protocol Emergence: Overview and Future Directions	Mateus Pontes Mota
09:45 to 10:20	Attacker Identification in LoRaWAN Through Physical Channel Fingerprinting	Sobhi Alfayoumi
10:45 to 11:20	Goal-Oriented Wireless Communication for a Remotely Controlled Autonomous Guided Vehicle	Pedro Maia de Sant Ana
11:20 to 11:45	Channel Charting based Beam Management	Parham Kazemi

Barcelona, March 7 - 11 | 2022

Training program

Day 1: Monday, March 7 2022

Time	Topic	Leader
14.00 – 17.30	Deep Gaussian Processes and Bayesian Optimization	Daniel Hernandez Lobato

Day 2: Tuesday, 8 March 2022

Time	Topic	Leader
9:00 to 11:30	Deep Learning without Annotations	Xavier Giró, Laia Tarrés
14:00 to 17:30	Reconfigurable Intelligent Surfaces	Marco di Renzo

Day 3: Wednesday, March 9 2022

Time	Topic	Leader
09:00 to 10:30	Scientific Resumes and Job Interviews. How to make a positive impact	Carles Anton
11:00 to 12:30	From Research to Innovation, how to identify user needs to generate value	Ignasi Garcia-Milà Vidal

Day 5: Friday, March 11 2022

Time	Topic	Leader
09:00 to 10:00	Semantic Communications	Geoffrey Ye Li
10:00 to 11:00	Implementation of ML processes: governance and ethical aspects	Carolina Pinart

AALTO, October 11 - 15 | 2021

Training program

Day 1: Monday, October 11 2021

Time	Topic	Leader
09.30 – 12.00	5G, physical layer (part I)	Stefan Parkvall, Ericsson
13.00 – 17.00	5G, physical layer (part II)	Stefan Parkvall, Ericsson

Day 4: Thursday, 14 October 2021

Time	Topic	Leader
09.00 to 12:00	5G system aspects	Harri Holma and Antti Toskala, Nokia
13.00 to 15.00	Poster sessions I and II of ESRs	ESRs

Day 5: Friday, October 15 2021

Time	Topic	Leader
09:00 to 10:00	Poster session III of ESRs	ESRs
10:30 to 11:30	Poster session IV of ESRs	ESRs

Painless & WindMill, May 5 - 6 | 2021

Training program

Day 1: Wednesday 5 March 2021 – Technical lectures

Time	Topic	Leader
09:00 – 09:10	Welcome to PAINLESS and WINDMILL summer school	Leader: Jimmy Jessen Nielsen (Aalborg University)
09:10 – 09:20	Introduction to PAINLESS Project	Christos Masouros (University College London)
09:20 – 09:30	Introduction to WINDMILL Project	Elisabeth de Carvalho (Aalborg University)
09:30 – 10:30	Challenges and Possibilities for Wireless Connectivity on the Path Beyond 5G	Petar Popovski (Aalborg University)
11:00 – 12:30	UAV Communication Challenges	Christian Raffelsberger and Aymen Fakhreddine (Lakeside Labs)
13:30 – 15:00	Learning from the Sky: Robot Aided Mapping, Radio Access and Localization	David Gesbert (Eurecom)
15:30 – 17:00	Machine Learning, Communications and Energy Technologies: Synergies and Opportunities	Constantinos Papadias (American College of Greece)

Day 2: Thursday, 6 March 2021

Time	Topic	Leader
09:00 – 12:30	Yes, you too can be creative!	Dennis Sherwood (Silver Bullet)
13.30 – 17.00	From Research to business	Gert Spender-Andersen (Aalborg University)

Stockholm, September 28 - October 2 | 2020

Training program

Click here for an overview of lecture abstracts

Day 1: Monday 28 September 2020 – Introduction

Time	Topic	Responsibility	Attendees
08:45 – 09:00	Opening and attendance	Hugo Tullberg	ESRs check-in
09:00 – 09:20	Welcome by Magnus Frodigh, Head of Ericsson Research	Hugo Tullberg	All
09:20 – 09:30	Election of ESR representative to the Supervisory Board	Michael Haugaard Pedersen	All
09:30 – 11:00	Project management course	Hugo Tullberg	ESRs
11:00 – 11:30	Coffee break
11:30 – 13:30	Project management course	Hugo Tullberg	ESRs
13:30 – 14:30	Lunch break
14:30 – 15:30	Project management course	Hugo Tullberg	ESRs
15:30 – 16:00	Coffee break
16:00 – 17:30	Project management course	Hugo Tullberg	ESRs
18:00 – 21:00	Supervisory Board meeting	Elisabeth de Carvalho	Supervisors + ESR Representative

Day 2: Tuesday 29 September 2020 – MTC

Time	Topic	Responsibility	Attendees
09:00 – 09:30	Introduction by coordinator and tour de table of PIs	Elisabeth de Carvalho (AAU)	All
09:30 – 09:50	Presentation by REA Project Officer	Sarah-Amalia Aronzhon	All
9:50 – 10:40	Coordinator’s Report	Elisabeth de Carvalho (AAU)	All
10:40 – 11:00	Coffee break
11:00 – 12:30	Felows’ presentations (5-7 minutes each)	Elisabeth de Carvalho	All
12:30 – 13:30	Lunch break
13:30 – 15:00	Restricted Session with fellows	Sarah-Amalia Aronzhon	ESRs + PO
15:00 – 15:30	Coffee break
15:30 – 15:45	Restricted Session with Coordinator	Sarah-Amalia Aronzhon	Elisabeth + PO (in parallel with end of coffee break)
15:45 – 16:00	Feedback and conclusions	Sarah-Amalia Aronzhon	All
19:00 – 21:00	Social event	Michael Haugaard Pedersen, Vera Dvorakova	All

Day 3: Wednesday 30 September 2020 – Course on Cloud and distributed computing

Time	Topic	Responsibility	Attendees
08:45 – 09:00	Meeting room open and attendance	Michael Haugaard Pedersen	ESRs check-in
09:00 – 11:00	Lecture on Cloud fundamentals	Johan Eker (EAB/LU)	ESRs
11:00 – 11:30	Coffee break
11:30 – 12:00	Introduction to the lab	Per Persson (EAB)	ESRs
12:00 – 13:00	Lunch break
13:00 – 14:00	Lab, Horizon GUI	Per Persson (EAB)	ESRs
14:00 – 14:30	Introduction to Terraform	Per Persson (EAB)	ESRs
14:30 – 15:30	Lab, Terraform	Per Persson (EAB)	ESRs
15:30 – 16:00	Coffee break
16:00 – 17:00	Lab, Terraform	Per Persson (EAB)	ESRs

Day 4: Thursday 1 October 2020 – Course on Cloud and distributed computing + Keynote on URLLC

Time	Topic	Responsibility	Attendees
08:45 – 09:00	Meeting room open and attendance	Michael Haugaard Pedersen	ESRs check-in
09:00 – 10:30	Feedback from lab, discussion on issues, solutions, how to use in the future	Johan Eker (EAB/LU), Per Persson (EAB)	ESRs
10:30 – 11:00	Coffee break
11:00 – 12:00	Lecture on Trends in distributed computing	Johan Eker (EAB/LU)	ESRs
12:00 – 13:00	Lunch break
13:00 – 14:00	Keynote on URLLC by prof. Petar Popovski	Hugo Tullberg	All
14:00 – 15:00	Keynote discussion	ESRs, Hugo Tullberg moderator	ESRs
15:00 – 15:30	Coffee break
15:30 – 16:30	Presentation on the Knowledge Sharing Platform	KSP champions	ESRs
16:30 – 17:00	Election of KSP champions	ESRs	ESRs

Day 5: Friday 2 October 2020 – URLLC Day

Time	Topic	Responsibility	Attendees
08:45 – 09:00	Meeting room open and attendance	Michael Haugaard Pedersen	ESRs check-in
09:00 – 09:50	URLLC: standardization and use cases	Cedomir Stefanovic	ESRs
09:50 – 10:40	Wireless Access for URLLC	Israel Leyva Mayorga	ESRs
10:40 – 11:00	Coffee break
11:00 – 11:50	Multi-connectivity for URLLC	Jimmy Nielsen	ESRs
11:50 – 12:40	Satellite URLLC	Beatriz Soret	ESRs
12:40 – 13:15	Wrap-up of the week	Hugo Tullberg, Michael Haugaard Pedersen	All

Paris, March 2 - 5 | 2020

Training program

Click here for an overview of lecture abstracts

Day 1: 2 March 2020 – Introduction & Transferable Skills – Amphitheatre Hermite

Time	Topic	Responsibility
08:45 – 9:00	Welcome, orientation
09:00 – 10:25	Meta-Learn to Communicate: Speeding Up Training for Communication Systems	Osvaldo Simeone (King’s College London)
10:25 – 11:05	Coffee break
11:05 – 12:30	The Role of Sparsity in Big-Data Problems	David Gregoratti (CTTC)
12:30 – 14:00	Lunch break
14:00 – 15:25	Deep learning for radio resource allocation in wireless networks	Alessio Zappone (UCAS)
15:25 – 16:05	Coffee break
16:05 – 17:30	Advanced Reinforcement Learning	Alvaro Valcarce (NBLF)
17:30 – 17:40	PhD Career Development	Bérénice Kimpe (ABG)

Day 2: 3 March 2020 – Career Counselling – Amphitheatre Hermite

Time	Topic	Responsibility	Comments
09:00 – 10:25	Career Counselling	Bérénice Kimpe (ABG)
10:25 – 11:05	Coffee break
11:05 – 12:30	Career Counselling	Bérénice Kimpe (ABG)
12:30 – 14:00	Lunch break
14:00 – 15:25	Career Counselling	Bérénice Kimpe (ABG)
15:25 – 16:05	Coffee break
16:05 – 17:30	Career Counselling	Bérénice Kimpe (ABG)
14:00 – 15:30	Supervisory Board Meeting	Elisabeth de Carvalho (AAU)	Programme sent separately. In Room 314.
19:00 – 22:00	Social event

Day 3: 4 March 2020 – Mid-Term Check & CommsRL workshop – Amphitheatre Hermite

Time	Topic	Responsibility	Comments
09:00 – 10:25	CommsRL Workshop	Alvaro Valcarce (NBLF)	ESRs
10:25 – 11:05	Coffee break
11:05 – 12:00	Knowledge Sharing Platform	Michael Haugaard (AAU)
12:00 – 12:30	Fellows presentations (6 min each). Part 1	Elisabeth de Carvalho (AAU)
12:30 – 13:30	Lunch break
13:30 – 14:15	Fellows presentations (6 min each). Part 2	Elisabeth de Carvalho (AAU)
14:15 – 14:55	Communication Aspects in Industry 4.0	Nikolaj Marchenko (Bosch)
14:55 – 15:35	Coffee break
15:35 – 17:30	Communication Aspects in Industry 4.0	Nikolaj Marchenko (Bosch)

Aalborg, November 18 - 21 | 2019

Training program

Meeting venue: Aalborg University, Rendsburggade 14, Create building, 9000 Aalborg, Denmark

Rooms: 5.125 and 5.127

Day 1: 18 November 2019 – Introduction

Time	Topic	Responsibility	Comments
08:45 – 9:00	Welcome coffee, registration	Elisabeth de Carvalho (AAU)
09:00 – 10:10	Visionary talk	Deniz Gündüz (Imperial College London)
10:10 – 10:40	Coffee break
10:40 – 11:10	Introduction to WindMill: Summary of the project, e.g., key people, WPs, training events	Elisabeth de Carvalho (AAU)
11:10 – 12:00	Presentation of ESRs and their projects	Cedomir Stefanovic (AAU)	Each presentation followed by a discussion with the participants
12:00 – 13:00	Lunch break
13:00 – 14:10	Presentation of ESRs and their projects	Cedomir Stefanovic (AAU)	Each presentation followed by a discussion with the participants
14:10 – 14:40	Coffee break
14:40 – 15:10	Presentation of ESRs and their projects	Cedomir Stefanovic (AAU)	Each presentation followed by a discussion with the participants
15:10 – 15:40	Rights and obligations of a MSCA fellow Election of ESR representative	Flora Champetier (AAU)
15:40 – 17:10	Filming of videos of ESRs and their projects	Cedomir Stefanovic (AAU)	ESRs only
15:40 – 17:30	Supervisory Board Meeting	Elisabeth de Carvalho (AAU)	Programme sent separately
19:00	Social event

Day 2: 19 November 2019 – Transferrable and technical skills

Time	Topic	Responsibility
9:00 – 9:30	ITN – a personal experience from a former ITN student	Nicola Piovesan (CTTC)
9:30 – 10:10	Scientific research: inspiration, research process, validating ideas, publishing	Petar Popovski (AAU)
10:10 – 10:40	Coffee break
10:40 – 11:10	Building Out New Ideas in ML & Comms	Tim O’Shea
11:10 – 12:00	General Introduction to AI and ML	Fernando Perez-Cruz (ETHZ)
12:00 – 13:00	Lunch break
13:00 – 14:10	Classic-not-deep-learning machine learning: SVMs, GPS, RFs, overfitting and generalization	Fernando Perez-Cruz (ETHZ)
14:10 – 14:40	Coffee break
14:40 – 16:00	Deep Learning: Deep NNs, Feedforward (Conv and Fully connected). Regularization from ridge to drop-out	Jakob Hoydis (NBLF)
16:00 – 17:00	Presentation of Knowledge Sharing Platform initial concept. Discussion session with ESR on how to develop the platform	Adriano Pastore (CTTC)

Day 3: 20 November 2019 – Transferrable and technical skills

Time	Topic	Responsibility	Comments
9:00 – 10:10	TensorFlow	Jakob Hoydis (NBLF)
10:10 – 10:40	Coffee break
10:40 – 12:00	Exercise: Localization using deep learning	Jakob Hoydis (NBLF)
12:00 – 13:00	Lunch break
13:00 – 14:30	Writing and reviewing scientific papers	Jakob Stoustrup (AAU)
14:30 – 15:00	Coffee break
15:00 – 16:15	Data science platform Renku (Swiss Data Science Center,) and research reproducibility	Fernando Perez-Cruz (ETHZ)	Check https://datascience.ch/solutions/
16:15 – 16:45	Overview of website, social media channel	Elisabeth de Carvalho	A discussion session (with ESRs in particular)

Day 4: 21 November 2019 – Transferrable skills

Time	Topic	Responsibility	Comments
9:00 – 10:15	Introduction to data management plan	Karsten Kryger, CLAAUDIA	Presentation
10:15 – 10:45	Coffee break
10:45 – 12:00	Making your own data management plan		All ESRs will use template and prepare draft
12:00 – 12:15	Concluding remarks
12:15 – 13:15	Lunch