Dr. Mossé received his BS (Mathematics, 1985) from the University of Brasilia, Brazil, and MS and PhD degrees (Computer Science, 1990 and 1993) from the University of Maryland, College Park.
He has been involved in the design and implementation of a couple of distributed, real-time operating system. His main research interest is in the allocation of resources (computing and network resources) in the realm of real-time, with main concerns being power management, security, and fault tolerance. He bridges the gap between the operating systems and networking research fields, between practice and theory.
Lately, he has also been focusing on how to increase diversity in computing and how to promote reproducible research in computing.
Bruce R. Childers, Daniel Mosse, and David Wilkinson, Evaluating Interactive Archives, Gateways , October 2017
Cha V. Li, Vinicius Petrucci, Daniel Moss e: “Exploring Machine Learning for Thread Characterization on Heterogeneous Multiprocessors.” Operating Systems Review (OSR)51(1): 113-123 (2017)
Ji Eun Kim, Xiangmin Fan, Daniel Mosse: “Empowering End Users for Social Inter- net of Things.” Second International Conference on Internet-of-Things Design and Implementation, IoTDI 201
Rodrigo M. Santos, Javier Orozco, Daniel Mosse, Vinicius Petrucci, Sergio F. Ochoa, Roc Meseguer: “Flying Real-Time Network for Disaster Assistance.” Ubiquitous Computing and Ambient Intelligence, UCAmI 2017
R. Nishtala, X. Martorell, V. Petrucci, and D. Mosse, “REPP-H: Runtime Esti- mation of Power and Performance on Heterogeneous Data Centers,” International Symposium on Computer Architecture and High Performance Computing (SBAC- PAD), Los Angeles, CA, November 2016.
Power- energy- and temperature-aware systems; Real-time systems; Scheduling; Distributed systems; Wireless networking