Programme

Monday 5 Tuesday 6 Wednesday 7 Thursday 8 Friday 9
8:00 a.m.–8:30 a.m. Registration
8:45 a.m.–9:00 a.m. Welcome and School Presentation
9:00 a.m.–10:30 a.m. Petar Popovski

STATISTICAL LEARNING FOR ULTRA-RELIABLE LOW LATENCY COMMUNICATIONS

Andrea Tonello

STATISTICAL LEARNING WITH GENERATIVE MODELS FOR COMMUNICATIONS

Geert Leus
(part 1)

SIGNAL PROCESSING AND MACHINE LEARNING ON GRAPHS

Paolo Banelli

GOAL-ORIENTED WIRELESS COMMUNICATIONS FOR EDGE-ASSISTED MACHINE LEARNING

Closing Remarks
Best Student Presentation Award
10:30 a.m.–11:00 a.m. Coffee Break Coffee Break Coffee Break Coffee Break
11:00 a.m.–12:30 p.m. Geoffrey Ye Li

FROM CONVENTIONAL TO SEMANTIC COMMUNICATIONS BASED ON DEEP LEARNING

Dejan Vukobratović

GAUSSIAN BELIEF PROPAGATION: FROM THEORY TO APPLICATIONS

Geert Leus
(part 2)

SIGNAL PROCESSING AND MACHINE LEARNING ON GRAPHS

Mateos Gonzalo
(part 1)

CONNECTING THE DOTS: LEARNING GRAPHS FROM DATA

12:30 p.m.–1:30 p.m. Lunch Lunch Lunch Lunch
1:30 p.m.–3:00 p.m. Georgios B. Giannakis
(part 1)

ENSEMBLE GAUSSIAN PROCESSES FOR ONLINE LEARNING WITH APPLICATION TO IOT

Ljubiša Stanković

MATCHED FILTERING APPROACH TO UNDERSTANDING THE BASIS OF GRAPH CONVOLUTIONAL NEURAL NETWORKS

Thomas Watteyne

DUST ACADEMY: GETTING YOUR HANDS DIRTY!

Mateos Gonzalo
(part 2)

CONNECTING THE DOTS: LEARNING GRAPHS FROM DATA

3:00 p.m.– 3:30 p.m. Coffee Break Coffee Break Coffee Break  
3:30 p.m. –5:00 p.m. Georgios B. Giannakis
(part 2)

ENSEMBLE GAUSSIAN PROCESSES FOR ONLINE LEARNING WITH APPLICATION TO IOT

STUDENTS' SESSION PANEL SESSION
ACADEMIA-INDUSTRY COLLABORATION
5:00 p.m. CHAPTER MEETING SOCIAL EVENT
VISIT TO ETHNO VILLAGE LJUBAČKE DOLINE
7:30 p.m.  Welcome dinner

Contact Information

2022 IEEE-SPS/EURASIP SUMMER SCHOOL ON NETWORK- AND DATA-DRIVEN LEARNING

Business Centre “Integra”, Banja Luka