Rate My Professor Novi Quadrianto

Novi Quadrianto is Professor of Machine Learning in the Department of Informatics within the School of Engineering and Informatics at the University of Sussex. He also holds positions as a BCAM Researcher leading the Severo Ochoa Strategic Lab on Trustworthy Machine Learning in Spain, Adjunct Professor in Data Science at Monash University Indonesia, and scholar in the ELLIS Human-centric Machine Learning programme. Quadrianto obtained his PhD in Machine Learning from the Australian National University in 2012 with a thesis titled 'Learning for the Internet: Kernel Embeddings and Optimisation', supervised by Alex Smola, Christoph Lampert, Dale Schuurmans, Tiberio Caetano, and Wray Buntine. Prior to this, he earned an MSc in ICT from the same university in 2007 and a BSc in Electrical and Electronic Engineering (First Class Honours) from Nanyang Technological University in 2005. His early career included research internships and visits at Yahoo! Research, HIIT Helsinki, University of Alberta, Fraunhofer IAIS, and IST Austria. From 2012 to 2014, he was a Newton International Fellow at the University of Cambridge's Engineering Department, and he joined the University of Sussex in 2014 initially as Lecturer in Machine Learning, advancing to Professor.

Quadrianto's research centres on trustworthy machine learning, encompassing ethical aspects such as auditing and mitigating bias against protected subgroups, enhancing interpretability of algorithmic systems, developing safe and robust models for extreme situations, and advancing interactive machine learning between users and algorithms. His interdisciplinary work includes a causality toolbox applied to evidence-based interventions in post-natal care and an AI landscape modelling tool, LIMMMA, analysing trade-offs in peri-urban agriculture for urban sustainability policy. Major funding includes a €1.5 million European Research Council Starting Grant for BayesianGDPR (2019-2024) integrating GDPR principles into machine learning, EU Horizon RIA TANGO for human-centric AI decision support, and ERC Proof of Concept Act.AI for bias mitigation via statistical matching. Earlier honours comprise a £100,000 Newton International Fellowship (2012-2014), Wolfson College Junior Research Fellowship (2012-2015), Microsoft Research Fellowship (2009), and ANU scholarships. Key publications feature 'Okapi: Generalising Better by Making Statistical Matches Match' (NeurIPS 2022), 'Discovering Fair Representations in the Data Domain' (CVPR 2019), 'A Very Simple Safe-Bayesian Random Forest' (IEEE TPAMI 2015), 'Kernelized Sorting' (IEEE TPAMI 2010), and 'Estimating Labels from Label Proportions' (JMLR 2009). He serves as Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence since 2016, Area Chair for NeurIPS 2015, and reviewer for top journals and conferences including ICML, ICCV, and AAAI. His contributions, reflected in an h-index of 26, advance ethical AI and interdisciplinary applications.