PeopleofSuperintelligence

Researcher

Cesare Alippi

Cesare Alippi is a researcher in adaptive and graph-based machine learning. He earned an M.Eng. in electrical engineering and a PhD in computer and control engineering at Politecnico di Milano, held research posts at University College London and Italy’s National Research Council, and became a full professor in 2002. With Giacomo Boracchi and Manuel Roveri, he published a just-in-time adaptive classification system in 2011 and coauthored a 2015 survey of learning from changing data streams. He received the International Neural Network Society’s Dennis Gabor Award in 2016, became scientific director of IDSIA in 2023, and IEEE CIS selected him in 2023 for its 2024 Enrique Ruspini Meritorious Service Award. He coauthored the FibMap paper in 2025 and a 2026 paper that introduces Catnat; as of October 2026, he leads the Graph Machine Learning Group at IDSIA and Università della Svizzera italiana.

Now at
Dalle Molle Institute for Artificial Intelligence Studies and University of Italian Switzerland
Works
458
Citations
11,887
h-index
56
Rankings
#34 by first-author papers
Badges

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 1966–1995

    Engineering at Politecnico

    Born in Lecco in 1966, he earns a summa cum laude M.Eng. in electrical engineering at Politecnico di Milano in 1990 and completes a PhD in computer and control engineering there in 1995.

  2. 1990–2002

    From fellow to full professor

    At University College London, he serves as a research fellow from 1990 to 1992 and an honorary researcher in 1993. At Politecnico di Milano, he becomes an assistant professor in 1991. From 1996 to 1998, he is a research scientist at Italy’s National Research Council and a Reader at Politecnico; he becomes an associate professor there in 1998 and full professor in 2002.

  3. 2011–2015

    Adaptive classification and data streams

    With Giacomo Boracchi and Manuel Roveri, he publishes A just-in-time adaptive classification system based on the intersection of confidence intervals rule in 2011. In 2015, he coauthors Learning in Nonstationary Environments: A Survey, which examines data streams whose distributions change over time.

  4. 2016

    The Dennis Gabor Award

    He receives the International Neural Network Society’s Dennis Gabor Award in 2016.

  5. 2023–2024

    IDSIA director and IEEE service award

    In 2023, he becomes scientific director of the Dalle Molle Institute for Artificial Intelligence Studies (IDSIA), a joint USI-SUPSI institute. IEEE CIS selects him in 2023 to receive its 2024 Enrique Ruspini Meritorious Service Award for service to education and international activities.

  6. 2025

    FibMap and atrial fibrillation

    In 2025, he coauthors FibMap, a graph recurrent neural network that reconstructs global atrial-fibrillation dynamics from sparse measurements.

  7. 2026

    Catnat and categorical variables

    With Alessandro Manenti, he publishes Beyond Softmax: A Natural Parameterization for Categorical Random Variables at the International Conference on Machine Learning in 2026. The paper introduces catnat, a function built from hierarchical binary splits that replaces softmax.

  8. As of October 2026

    Leading the Graph Machine Learning Group

    As of October 2026, he leads the Graph Machine Learning Group, a research group within IDSIA at Università della Svizzera italiana.

Career

  1. Since 2023Dalle Molle Institute for Artificial Intelligence StudiesScientific director
  2. NowUniversity of Italian SwitzerlandLeader, Graph Machine Learning Group
  3. 2015–2023Università della Svizzera italiana
  4. 1996–1998National Research Council of ItalyResearch scientist
  5. 1995–2005Fondazione Politecnico di Milano
  6. 1991–2002Polytechnic University of MilanAssistant professor, Reader
  7. 1991–2023Politecnico di Milano
  8. 1990–1993University College LondonResearch fellow, Honorary researcher

Education

  1. 1995Polytechnic University of MilanPhD
  2. 1990Polytechnic University of MilanM.Eng.

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. Learning in Nonstationary Environments: A Survey2015 · IEEE Computational Intelligence Magazine · 796 citations
  2. Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy2017 · IEEE Transactions on Neural Networks and Learning Systems · 684 citations
  3. A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 550 citationsWith Irwin King
  4. Graph Neural Networks with Convolutional ARMA Filters2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 431 citations
  5. An Adaptive System for Optimal Solar Energy Harvesting in Wireless Sensor Network Nodes2008 · IEEE Transactions on Circuits and Systems I Regular Papers · 429 citations

From OpenAlex, as of 19 October 2026.

  1. Stanford University trained or employed 26 of the 108 AI major-prize winners, more than any other universityIncludes University College London. Stanford University trained or employed 26 of the 108 AI major-prize winners, more than any other university. We compare doctorate and employment links for major-prize and best-paper winners.
  2. The company share of AI researchers’ top papers rose from 2% to 32%Includes Politecnico di Milano. We estimate where leading AI researchers worked when their most-cited papers appeared. The company share rose from 2% in 1975–1979 to 32% in 2020–2024.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Polytechnic University of Milan. Our estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.
  4. Google has the highest combined h-index among AI organizationsIncludes University College London. Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Personale - DEIB deib.polimi.it. Checked 18 October 2026.
  2. International Journals Publications alippi.faculty.polimi.it. Checked 18 October 2026.
  3. Learning in Nonstationary Environments: A Survey - University of Arizona experts.arizona.edu. Checked 18 October 2026.
  4. INNS Award Recipients inns.org. Checked 18 October 2026.
  5. Cesare Alippi nominato direttore scientifico dell'IDSIA supsi.ch. Checked 18 October 2026.
  6. Computational Intelligence: Cesare Alippi Received the 2024 Enrique Ruspini Meritorious Service Award deib.polimi.it. Checked 18 October 2026.
  7. Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements arxiv.org. Checked 18 October 2026.
  8. Beyond Softmax: A Natural Parameterization for Categorical Random Variables proceedings.mlr.press. Checked 18 October 2026.
  9. Graph Machine Learning Group / People gmlg.ch. Checked 18 October 2026.