Embedded Files
ABOUT
ABOUT
Cloud Computing and modern System Architectures have rapidly evolved into foundational paradigms reshaping software delivery and digital transformation globally. As technologies such as serverless computing, multi-cloud, edge computing, microservices architectures, and AI-driven operations mature, the ability to manage, monitor, predict, and ensure critical quality attributes—such as performance, reliability, security, and sustainability—is increasingly essential.
The CCSA track aims to foster cutting-edge discussions among academia and industry, connecting researchers and practitioners exploring innovative methodologies, emerging technologies, and advanced AI/ML-driven approaches in Cloud Computing and System Architecture. We encourage submissions addressing pressing challenges and novel solutions across the full lifecycle of cloud and service-oriented systems. Contributions bridging traditional engineering approaches with contemporary ML/AI-driven methods for quality assurance, predictive analytics, and adaptive architectures are particularly encouraged.
TOPICS
TOPICS
We invite submissions on topics including, but not limited to:
Cloud-native application architectures
Edge and Fog computing systems
API ecosystems and management
AI-driven monitoring and observability
Architectural assessment and governance
DevSecOps, privacy, and security in cloud environments
Predictive performance engineering
Self-adaptive and self-healing architectures
Requirements engineering for cloud-native systems
Sustainability in cloud and service architectures
Automated testing and continuous quality assurance
Serverless computing quality challenges and solutions
Integration of blockchain and decentralized technologies in cloud solutions
TRACK COMMITTEE
TRACK COMMITTEE
Chairs: Dr. Mohamad Kassab (Boston University, US & New York University, Abu Dhabi ) and João Paulo Fernandes (New York University, Abu Dhabi)
Program Committee:
Phillip Laplante, The Pennsylvania State University, USA
Valdemar Neto, Universidade Federal de Goiás (UFG), Brazil
Joanna DeFranco, The Pennsylvania State University, USA
Ghizlane Elboussaidi, École de technologie supérieure, Canada
Giuseppe Destefanis, Brunel University, UK
Leuson Silva, Federal University of Ceará, Brazil
Rodrigo Santos, UNIRIO, Brazil
Daniel Feitosa, University of Groningen, Netherlands
Eliseo Ferrante, Vrije Universiteit Amsterdam, Netherlands
Rui Rua, New York University Abu Dhabi, UAE
Francisco Ribeiro, New York University Abu Dhabi, UAE
Mohamad Kassab is a computer scientist committed to advancing the integration of formal and quantitative models to enhance software and systems engineering, particularly in areas intersecting quality requirements and disruptive technologies. He currently serves as a Visiting Associate Professor at New York University Abu Dhabi and an Adjunct Professor at Boston University. Prior to this, he was an Associate Professor of Software Engineering at Pennsylvania State University from 2012 to 2024. Dr. Kassab earned his Ph.D. and M.S. degrees in Computer Science from Concordia University, Montreal, Canada. His extensive academic experience includes roles as an Affiliate Assistant Professor in the Department of Computer Science and Software Engineering at Concordia University (2010-2012), a Postdoctoral Researcher at École de Technologie Supérieure (ETS) in Montreal (2011-2012), and a Visiting Scholar at Carnegie Mellon University (2014-2015).
With over 25 years of global industry experience, Dr. Kassab possesses an expansive skillset acquired through senior roles at prominent companies such as Soramitsu (Business Unit Manager), SAP (Senior Quality Engineer), McKesson (Senior Quality Engineer), Morgan Stanley (Senior Associate), NOKIA (Senior Quality Assurance Specialist), and Positron Safety Systems (Senior Software Developer). Dr. Kassab's scholarly contributions include extensive publications in prestigious software engineering journals, conference proceedings, and books. His research has successfully bridged the gap between academic innovation and industry application, particularly in areas involving IoT and blockchain technologies. He actively contributes to the software engineering community through participation in numerous professional societies, serving on various program committees, and organizing workshops and conference sessions internationally.
João Paulo Fernandes is a computer scientist passionate about addressing sustainability challenges within software development and usage and creating a greener, more eco-friendly future. His research interests focus on optimizing the energy efficiency of software systems by providing information and tools for developers to build energy-efficient systems and for end users to adopt energy-efficient usage patterns. He has founded/coordinated and/or is involved in projects and initiatives such as GreenHub, Green Sw Lab, GreenHaskell, GreenStamp, and Sustrainable. Dr. Fernandes scientific achievements have been described in over 75 publications in high-quality international conferences and journals such as IEEE TSE, EMSE, JSS, ICSME, SANER, EASE, and SLE, and include award-winning publications, e.g., the "Data Showcase Special Mention Award" at MSR'19. He has served on over 50 international conferences and journals program committees and was awarded the Outstanding Reviewer Award at SBES'19.
Google Sites
Report abuse