Dr. Xinwen Fu

Title: Models for Blockchain and Decentralised Systems

We consider blockchains and other decentralised systems from a performance and dependability engineering perspective. The presentation builds on several keynotes delivered in recent years by the author, which consider blockchain performance engineering in the system layer, the consensus layer and the incentives layer, respectively.  In this keynote we provide an overall view on model-based performance and dependability analysis and on the software tools that support such modelling.  We also discuss in some more detail the BlockSim simulation tool, recent model-based analysis results for the Verifier’s Dilemma and concerns for other emerging decentralised and distributed systems, including those for federated learning.


Dr. Xinwen Fu is a Professor in the School of Computer & Information Science, University of Massachusetts Lowell. He was a tenured Associate Professor at University of Central Florida. His current research interests are in computer and network security and privacy. Dr. Fu has published at prestigious conferences including the four top computer security conferences (Oakland, CCS, USENIX Security and NDSS), and journals such as ACM/IEEE Transactions on Networking (ToN) and IEEE Transactions on Dependable and Secure Computing (TDSC). He spoke at various technical security conferences including Black Hat. His research was reported by various Media including CNN, Wired, Huffington Post, Forbes, Yahoo, MIT Technology Review, PC Magazine and aired on CNN Domestic and International and the State Science and Education Channel of China (CCTV 10).

Prof Maria Papadopouli

Title: Identifying Neuronal Modules of Communication in Primary Visual Cortex


Maria Papadopouli (Ph.D. Columbia University, October 2002) is a Professor of Computer Science at the University of Crete, a Research Associate at the Institute of Computer Science, FORTH, and a Fulbright Scholar. She has been a visiting Professor at  the Brigham and Women’s Hospital, Harvard Medical School (2022-2023), the Computer Science and Artificial Intelligence Laboratory (CSAIL), MIT (2017), and at the School of Electrical Engineering, KTH Royal Institute of Technology in Stockholm. From July 2002 until 2006, she was a tenure-track Assistant Professor at the University of North Carolina at Chapel Hill (UNC) (on leave from July 2004 until June 2006. Her research has been supported by several awards (e.g., IBM Faculty Awards, Google Faculty Award, Comcast Innovation Fund. and competitive national, EU, and international grants. She has been selected in the N2Women Stars in Networking and Communications in 2021.