Program

Times are in CET.

Low-code Engineering of Large-Scale Heterogeneous Systems

• Scaling Up Citizen Development with Recommender Chatbots
• Scalable Cloud-Based Heterogeneous Modeling
• Deploying and Scaling Knowledge Models in Data Science
• Urban Area Management in Smart Cities

Bio:

• Lissette Almonte Garcia is an Early Stage Researcher in Computer Science at the Autonomous University of Madrid (UAM), Spain. Her Ph.D. is entitled “Scaling Up Citizen Development with Recommender Chatbots”, and it is part of the Marie Skłodowska-Curie European project Lowcomote.
• Francisco Martinez Lasaca is an Early Stage Researcher in Computer Science at the Autonomous University of Madrid (UAM), Spain. His Ph.D. is entitled “Scalable Cloud-Based Heterogeneous Modelling”, and it is part of the Marie Skłodowska-Curie European project Lowcomote. The project is carried out in cooperation with the Madrid-based company UGROUND.
• Panagiotis Kourouklidis is a PhD candidate at the University of York and a researcher at BT. As a member of the Lowcomote project, he is developing a DSL to help data scientists manage the complexities of deploying ML to production.
• Jean Felicien Ihirwe is a final-year Ph.D. student at the University of L’Aquila in Italy’s Department of Information Engineering, Computer Science, and Mathematics (DISIM). He is a part of the Innovation Technology Service Lab’s Research & Development team of Intecs Solutions S.p.A. (Pisa-Italy). He graduated from Carnegie Mellon University in 2019 with a master’s in electrical and computer engineering. His areas of interest include the Internet of Things (IoT) at the edge/fog/cloud, Model-based software engineering (MBSE), and Low-code engineering (LCE). His doctoral research focuses on creating a robust domain-specific environment for the development, analysis, and deployment of engineering IoT systems by leveraging low-code software engineering concepts.

Large-scale repository and services for low-code engineering

Abstract:

• Scalable and Extensible Cloud-based Low-Code Model Repository
• Mining Interaction Processes in Low-Code System Models
• Capability Discovery and Reuse in Low-code System Models
• DevOs Support for Low-Code Engineering Platforms
• Cloud-Based Testing Workbench for Low-Code Engineering

Bio:

• Arsene Indamutsa.
• MohammadHadi Dehghani.
• Iliran Ibrahimi is from Mtrovica, Kosovo. He got a BSc in 2012 from the University of Prishtina in Mathematics-Computer Science and his MSc in 2018 from the University of Prizren in Computer Science. He used to work as a software developer in Cacttus sh.a. for a year and then as a Freelance developer for six years. In the meantime, he also worked as a high school teacher in the “Dr. Xheladin Deda” school and as a Lecturer at the “Universum” college. In 2019 he joined CLMS UK, where he currently works as a software engineer and researcher providing services for the zAppDev low-code platform. Currently, he is pursuing a Ph.D. in the software engineering department at Johannes Kepler University in Linz, Austria. His research interest includes model reuse on low-code platforms, recommendation systems in MDE, knowledge graphs, NLP, and AI/ML.
• Alessandro Colantoni.
• Faezeh Khorram.

Scalable low-code artifact management

Abstract:

• Intelligent Run-Time Partitioning of Low-Code System Models
• Heterogeneous Low-CodeModel Query Optimisation
• Live Model Transformation for Distributed Low-Code Platforms
• Multi-Paradigm Distribution for Model Management Operations
• Cloud-Based Low-Code Model Transformations Composition and Execution

Bios:

• Sorour Jahanbin.
• Qurat ul ain Ali.
• Benedek Horváth is an Early Stage Researcher working at IncQuery Labs while being a PhD student at Johannes Kepler University Linz. He graduated in Computer Science Engineering from the Budapest University of Technology and Economics in 2015 and earned his master’s degree in 2018. In the Lowcomote project, he is researching how to leverage Cloud computational resources to make model transformation and verification scalable in an industrial setting. His research interests lie in systems modeling, model transformations and formal verification.
• Jolan Philippe is from Orléans, France, where he got his BSc degree in business informatics. In 2016, he joined the Orléans Laboratory of Fundamental Computer Science (LIFO) as a research assistant. He worked at Northern Arizona University as a research assistant, where he received his MSc degree in 2019. He is currently finishing a Ph.D. in Nantes, France, at the IMT Atlantique engineering school. His current research interests include distributed systems, model-driven engineering, and formal methods.
• Apurvanand Sahay.

• Scalable Development of Low-Code artefacts (Dec 10, 2020)
• Scalable Management of Low-Code Artefacts (Apr 14, 2021)
• Heterogeneous Low-Code Engineering in Industry (Jul 14, 2021)