The International Summer School in Federated Learning

Lecturers

Learn from experts on the cutting edge of Federated Learning and various domains from well known Universities and Orgnizations.

Dr. Sadi Alawadi

Associate Professor in AI

Blekinge Institute of Technology, Sweden

Dr. Feras Awaysheh

Associate Professor in Big Data

Umeå University, Sweden

Organizing Committee

Dr. Sadi Alawadi

Associate Professor in AI

Blekinge Institute of Technology, Sweden

Dr. Feras Awaysheh

Associate Professor in Big Data

Umeå University, Sweden

Dr. José Manuel Yáñez

Associate Professor in AI

Santiago de Compostela University, Spain

Dr. David Mera Perez

Associate Professor in AI

Santiago de Compostela University, Spain

Invited expert speakers from academia and industry specializing in Federated Learning.

Salman Toor

Scaleout AB, Sweden

Daniel Beutel

FlowerLabs, UK

Pan Heng

FlowerLabs, UK

Javier Fernandez-Marques

FlowerLabs, UK

Afsana Khan

Maastricht University, Netherlands

Samaneh Mohammadi

RISE Research Institutes, Sweden

Shaleeza Sohail

University of Newcastle, Australia

Mehreen Tahir

Dublin City University, Ireland

Hiroki Kaminaga

Cybernetica, Estonia

Xiaowen Jiang

CISPA Helmholtz Center, Germany

Sadi

Sadi Alawadi

Associate Professor

Earned his Ph.D. in Computer Science/AI from the Research Center of Intelligent Technologies (CiTIUS) at the University of Santiago de Compostela, Spain, in 2018. He also holds a Master’s degree in Soft Computing and Intelligent Systems from Granada University, obtained in 2012. Currently, he is an Associate Professor at the Blekinge Institute of Technology, Sweden.

Throughout his academic career, he has held various research and teaching positions, including his role as an Assistant Professor at Halmstad University, Sweden. His postdoctoral research experience includes positions at Uppsala University’s Department of Information Technology (Scientific Computing Division), the IOTAP Research Center at Malmö University, and the Consiglio Nazionale delle Ricerche (CNR) - ISTI in Pisa, Italy.

Dr. Alawadi has an extensive publication record in leading journals and conferences such as Neural Networks, IEEE Transactions on Engineering Management (TEM), IEEE Transactions on Industrial Informatics (TII), INFSOF, NCA, JKSUCIS, and CCGRID. His research interests span a broad spectrum of advanced topics, including Internet of Things (IoT), Machine Learning (ML), Deep Learning, Real-time Analysis, Data Visualization, Big Data, Digital Forensics, Edge and Cloud Computing, Dimensionality Reduction, Blockchain, Federated Learning, Transfer and Interactive Learning, and Internet of Health.

Feras

Feras Awaysheh

Associate Professor

Earned his Ph.D. in Computer Science/AI from the Research Center of Intelligent Technologies (CiTIUS) at the University of Santiago de Compostela, Spain, in 2018. He also holds a Master’s degree in Soft Computing and Intelligent Systems from Granada University, obtained in 2012. Currently, he is an Associate Professor at the Blekinge Institute of Technology, Sweden.

Throughout his academic career, he has held various research and teaching positions, including his role as an Assistant Professor at Halmstad University, Sweden. His postdoctoral research experience includes positions at Uppsala University’s Department of Information Technology (Scientific Computing Division), the IOTAP Research Center at Malmö University, and the Consiglio Nazionale delle Ricerche (CNR) - ISTI in Pisa, Italy.

Dr. Awaysheh has an extensive publication record in leading journals and conferences such as Neural Networks, IEEE Transactions on Engineering Management (TEM), IEEE Transactions on Industrial Informatics (TII), INFSOF, NCA, JKSUCIS, and CCGRID. His research interests span a broad spectrum of advanced topics, including Internet of Things (IoT), Machine Learning (ML), Deep Learning, Real-time Analysis, Data Visualization, Big Data, Digital Forensics, Edge and Cloud Computing, Dimensionality Reduction, Blockchain, Federated Learning, Transfer and Interactive Learning, and Internet of Health.