About

The Aalto Systems and Services Engineering Analytics (AaltoSEA) Group concentrates and consolidates research activities, resources, results, and collaborations on foundational principles, concepts and techniques for service engineering analytics of distributed software systems and services, big data applications, machine learning systems and IoT. We are a member of The Department of Computer Science, Aalto University. We also contribute to the newly established Aalto Center for Autonomous Systems. At Aalto we teach students to study topics in Big Data Platforms and Systems for Big Data/Machine Learning.

Engineering Analytics

Engineering analytics is concerned with the techniques and tools for designing, monitoring, analyzing, explaining and optimizing functions, performance, data quality, elasticity, and uncertainties associated with systems, software, data and services. . In our work, we focus on engineering analytics for: Systems and their interplay(IoT, Cloud and Edge Systems), Software (Machine Learning, Middleware, Protocols, and Tools) , Data (Models and Analytics), Services (Data Marketplace, Service Models, APIs, and Configuration). We apply our engineering analytics techniques to various applications, including smart cities, smart agriculture, enterprises, e-science, logistics, robotics, and e-health. See some high-level ideas in this presentation.

Systems

we focus on emerging complex distributed systems covering cloud systems, IoT, edge systems, cyber-physical systems and social-cyber-physical systems. Some of our novel concepts are elastic systems, IoT Cloud systems and the ensembles of IoT, Cloud and Networks

Software

We focus on system software, middleware, tools and applications in IoT, cloud, edge, enterprise, cyber-physical systems, and machine learning systems. Application domains are smart agriculture, smart city, e-science, and industrial internet. Some recent tools are IoT management, Uncertainty Testing for CPS, and IoT Cloud uncertainties

Data

We focus on IoT/big data data models and analytics, including various types of data in complex distributed systems that are gathered, processed and provisioned under different services. Some our novel concepts are elastic data analytics, Quality of Analytics, and incidents in big data

Services

We focus on novel technical service models (data-as-a-service, IoT services, e-science services, and several application-specific services), service API and execution management, and dynamic business models (e.g. pay-per-use) for consumers. Some of our novel conconcepts are Data-as-a-Service, data contracts for data marketplaces, human sensing data marketplace, and machine learning services

Photo: Aalto University/Jaakko Kahilaniemi

Hong-Linh Truong

My-Linh Nguyen

Master Thesis Students

  • Eero Silfverberg: IoT in marine industry (with Oceanvolt)
  • Minh Nguyen: Smart Contract for Flextimers (Aalto School of Business)
  • Yoselin Garcia Salinas: Benchmarking of in-memory Big Data technologies (with FA Solutions)
  • Kimmo Mikkola: IoT Sensors in 3GPP MCS Environments (with Airbus Defense and Space Oy)

Current visitors

Past visitors

Adrian Orive Oneca (IKERLAN), Kyle Chard (University of Chicago), Liang Zhang (Fudan University), The-Vu Tran (Da Nang University), Huu-Hung Huynh (Da Nang University), Nam Huynh (HoChiMinh City University of Technology)

Past members

Postdocs: Dr. Bunjamin Memishi, Dr. Luca Berardinelli, Dr. Georgiana Copil, Dr. Daniel Moldovan,
Research assistants/Master Students: Minh-Duc Ta, Strasdosky Otewa, Oscar Henriksson, Kreics Krists, Filip Rydzi, Michael Hammerer, Lingfan Gao, Juraj Cik, Florin Balint, Manfred Halper, Matthias Karan, Peter Klein

Results

Our GitHub prototypes: https://github.com/rdsea

Our Docker Hub: https://hub.docker.com/u/rdsea/

Concepts & Prototypes

Publications & Theses

See our full list here. Three recent publications: