I am Chief Architect for Intelligent Cloud Operations (aka AIOps) at Huawei Munich Research Center in Munich, Germany and Huawei Ireland Research Center in Dublin, Ireland. I am also Associate Professor at the University of Coimbra (Portugal), and affiliated to the Information Systems Group.

My current research involves the development of the next generation of AI-driven IT Operations tools and platforms. This field in nowadays generally called AIOps (artificial intelligence for IT operations). In planet-scale deployments, the Operation and Maintenance (O&M) of cloud platforms cannot be done any longer manually or simply with off-the-shelf solutions. It requires self-developed automated systems, ideally exploiting the use of AI to provide tools for autonomous cloud operations. My research looks into how deep learning, machine learning learning, distributed traces, graph analysis, time-series analysis (sequence analysis), and log analysis can be used to effectively detect and localize anomalous cloud infrastructure behaviors during operations to reduce the workload of human operators. These techniques are typically applied to Big Data coming from microservice observability data.

My group is currently developing the iForesight system which is being used to evaluate this new O&M approach. iForesight 3.0 is the result of more than 2 years of research with the goal to provide an intelligent new tool aimed at SRE cloud maintenance teams. It enables them to quickly detect, localize and predict anomalies thanks to the use of artificial intelligence when cloud services are slow or unresponsive.

The basic research areas we touch and integrate include:

  • Cloud Computing, Cloud Operations and Cloud Monitoring
  • Machine Learning and Deep Learning.
  • Distributed Systems Reliability and Availability.
  • Anomaly Detection and Root-cause Analysis.

They are applied to create new and innovative systems for:

  • AI-driven Cloud Operations
  • Fault prevention, prediction, detection, localization, and recovery.
  • Planet-scale monitoring of distributed systems
  • Applied machine learning for predictive software maintenance
  • Natural Language Processing for systems’ behaviour analysis.

Previously I also looked into Cloud Computing, BPM, Semantic Web, Web Services, and Enterprise Systems. See Google Scholar, DBLP, and LinkedIn.


About me

Jorge Cardoso is currently Chief Architect for Ultra-scale AIOps at Huawei Munich Research Center in Munich, Germany. He is also Associate Professor at the University of Coimbra (Portugal).

Previously, he worked for several major companies such as SAP Research (Germany) on the Internet of Services, The Boeing Company in Seattle (USA) on Enterprise Application Integration and CCG/Zentrum fur Graphische Datenverarbeitung on Computer Supported Cooperative Work.

He has authored and co-authored more than 180 scientific publications and has been part of more than 120 program committees and organization bodies (journals and conferences). He his author/editor of 9 books. He holds 6 US and EU patents on process management and reliability engineering. GoogleScholar shows more than 9500 citations for his research work with an h-index of 45. His last book, titled Fundamentals of Service Systems from Springer, compiles results from the research work of his areas of interest: cloud computing, business process management, semantic Web, the Internet of Services, and service engineering.

He participated in European, German, US, and National research projects financed by the European Commission (FP7, EACEA), the German Ministry for Education and Research (BMBF), SAP Research (SAP) and Portuguese NSF (FCT). He is a founding member of the IFIP Working Group 12.7 on Social Semantics.

He created and led until 2009 the development of the W3C Unified Service Description Language (USDL).

He has a Ph.D. from the University of Georgia (US, 2002) and a MSc and BSc in Informatics Engineering University of Coimbra (Portugal, 1995, 1998).

I discovered by a random chance my passion in programming and computing when I was 14. My first computer was a Timex Computer 2068 and BASIC was the first language I learned.


A good researcher says, "Lets find out", others say "Nobody knows". When a good researcher makes a mistake, he says, I was wrong", others say "It wasn't my fault". A good researcher works harder than others and has more time. Others are always "too busy" to do what is necessary. [Unknown source]