Scholar
A. Cristiano I. Malossi
Google Scholar ID: OSEugosAAAAJ
Principal Research Scientist and Manager @ IBM Research - Zurich
Citations & Impact
Citations
1,224
H-index
15
i10-index
21
Publications
20
Co-authors
13
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- 2022 Best Paper Award at CVCIE @ ECCV2022 workshop; 2019 & 2022 - ACM Distinguished Speaker; 2016 - IEEE/ACM IPDPS Best Paper Award; 2015 - IBM Pat Goldberg Memorial Best Paper Award; 2015 - ACM Gordon Bell Prize; 2013 - IBM Research Prize for Computational Science (for the PhD thesis).
Research Experience
- Currently, Principal Research Scientist and Manager of the AI Automation Group at the IBM Research Laboratory in Zurich, leading global research and innovation strategy around Enterprise Visual Inspection, with a focus on inspection of Large-Scale Infrastructures. Led a global research team around neural network automation between 2017 and 2019, and released the first IBM engine for automation of neural network synthesis (NeuNetS) applicable to image and text classification on the IBM Cloud in 2018. In earlier stages of his career at IBM, responsible for the development of energy-aware computing algorithms as part of the Exa2Green project. Coordinator of the Open Transprecision Computing (OPRECOMP) project between 2017 and 2020, focusing on low-power/low-energy computing paradigms based on approximation and transprecision computing.
Education
- PhD in Applied Mathematics from the Swiss Federal Institute of Technology in Lausanne (EPFL); B.Sc. in Aerospace Engineering and M.Sc. in Aeronautical Engineering from Politecnico di Milano (Italy). His thesis on parallel algorithms and mathematical methods for the numerical simulation of cardiovascular problems granted him the IBM Research Prize for Scientific Computing.
Background
- Research interests include enterprise visual inspection, acceleration and new computing paradigms for machine learning and deep learning, AI lifecycle automation for enterprise data, AI systems design and user experience, high performance computing, transprecision & energy-aware computing, and from his academic education - CFD, FEM, and aircraft design.
