Bio:
Dr. Cristiano Malossi is Principal Research Scientist and Manager at the IBM Research Laboratory in Zurich. Since 2021, Cristiano is global research lead for Visual Inspection. Cristiano’s team owns the design and development of IBM One Click Learning (OCL), a research-industry platform that leverages deep learning and advanced computer vision methods to accelerate and improve accuracy in critical inspection tasks. IBM OCL is the result of many years of research in AI Automation, adapted to the needs of enterprise inspectors. The platform is available as a managed web service, running on IBM Cloud. A live demo can be requested by interested Clients.
Between 2017 and 2019 Cristiano led a global research team around neural network automation. In 2018, Cristiano’s team released on the IBM Cloud the first IBM engine for automation of neural network synthesis (NeuNetS) applicable to image and text classification.
In the earlier stages of his career at IBM, Cristiano was responsible of the development of energy-aware computing algorithms, as part of the Exa2Green project. Later, between 2017 and 2020, Cristiano was coordinator of the Open Transprecision Computing (OPRECOMP) project. The project focused on low-power/low-energy computing paradigms based on transprecision computing - a new computing paradigm ideated by the project that combines approximation and automation. As part of his research and network, Cristiano contributed to many European research-innovation projects, including VIMMP, IM-SAFE, APROPOS, and ROMEO, and more recently SustainML.
Cristiano is a recipient of the 2016 IPDPS Best Paper Award and the 2015 ACM Gordon Bell Prize. Since 2015 he is also member of ACM and has served in the technical program committee of top HPC and AI conferences, including SC, ISC, IPDPS, AAAI, NeurIPS, ICML, and DATE.
Before IBM, Cristiano graduated from the Swiss Federal Institute of Technology in Lausanne (EPFL) in Lausanne with a PhD in applied mathematics. In 2013, his thesis on parallel algorithms and mathematical methods for the numerical simulation of cardiovascular problems granted him the IBM Research Prize for Scientific Computing. Cristiano has also a B.Sc. in Aerospace Engineering and a M.Sc. in Aeronautical Engineering from the Politecnico di Milano (Italy).
Cristiano’s research interests include computer vision, acceleration and new computing paradigms for machine learning and deep learning, scalable AI services, datacentric AI, lifecycle automation, user experience, high performance computing, transprecision & energy-aware computing, and - from his former studies - CFD, FEM, and aircraft design.
Available Lectures
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The Future of Visual Inspection for Civil Infrastructure
Until recently bridge inspection was exclusively a manual process conducted by reliability engineers. Not only is this dangerous due to the complexity of the structure, but it is also...
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