PeopleofSuperintelligence

Researcher

Alfonso Emilio Gerevini

Alfonso Emilio Gerevini is an AI researcher whose work spans automated planning, knowledge representation and reasoning, and machine learning. He began as a research scientist at IRST in 1989 and joined the University of Brescia in 1995. His groups developed LPG, PbP, and PbP2 planners that won international competition awards, and he coauthored PDDL3 research on plan constraints and goals. He became a EurAI Fellow in 2019 and coauthored a 2024 method that compiles numeric and metric time constraints into planning problems. Since May 2026, he leads the University of Brescia's VeriPlan project and is a full professor of Information Processing Systems.

Now at
University of Brescia
Works
218
Citations
3,488
h-index
27
Badges

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. 1989–1995

    Research at IRST

    From 1989 to 1995, he works as a research scientist at IRST in Trento. He joins the University of Brescia in 1995. His AI research spans automated planning, knowledge representation and reasoning, and machine learning.

  2. 2002–2004

    The LPG planner

    In 2002, his group develops LPG, an automated planner that wins IPC-3's best fully automated planner award. An extended version wins an award at IPC-4 in 2004.

  3. 2006–2009

    PDDL3 and IPC-5

    For IPC-5 in 2006, he and four coauthors develop the PDDL3 language and its benchmark domains. Their 2009 study explains how PDDL3 expresses strong and soft constraints on plan structure and goals.

  4. 2008–2011

    PbP and PbP2

    In 2008, his group develops PbP, which wins the learning track of IPC-6. The revised PbP2 planner wins IPC-7's learning track in 2011.

  5. 2019

    A EurAI Fellowship

    He becomes a EurAI Fellow in 2019.

  6. 2024

    Compiling planning constraints

    In 2024, he coauthors a method that compiles PDDL3 constraints with numeric conditions and metric time into a numeric planning problem. The optimized method reduces task size and outperforms existing planners on benchmark domains.

  7. Since May 2026

    Leading VeriPlan

    Since May 2026, he leads VeriPlan, a University of Brescia project scheduled to run through May 2027. The project aims to provide an open-source framework for secure, high-quality multi-agent systems. He is a full professor of Information Processing Systems at Brescia and serves as a conference chair for ICAPS 2026, held in Dublin.

A language model matched the links in this timeline to people, organizations and papers (provisional, model-judged).

Career

  1. Since 1995University of BresciaFull Professor of Information Processing Systems, Project lead
  2. 1993–1995Istituto per la Ricerca Scientifica e Tecnologica
  3. 1989–1995IRSTResearch scientist

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

Most-cited works

  1. Planning Through Stochastic Local Search and Temporal Action Graphs in LPG2003 · Journal of Artificial Intelligence Research · 318 citations
  2. Deterministic planning in the fifth international planning competition: PDDL3 and experimental evaluation of the planners2008 · Artificial Intelligence · 295 citations
  3. Plan stability: replanning versus plan repair2006 · 202 citations
  4. LPG: a planner based on local search for planning graphs with action costs2002 · International Conference on Artificial Intelligence Planning Systems · 182 citations
  5. Plan Constraints and Preferences in PDDL32006 · 176 citations

From OpenAlex, as of 18 October 2026.

  1. The company share of AI researchers’ top papers rose from 2% to 32%Includes Istituto per la Ricerca Scientifica e Tecnologica. 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.
  2. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1962 to 2025, with a year-by-year chart.
  3. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  4. 47% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.

Colleagues

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

Sources and credits

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  1. Alfonso Gerevini artificial-intelligence.unibs.it. Checked 18 October 2026.
  2. Deterministic planning in the fifth international planning competition: PDDL3 and experimental evaluation of the planners researchportalplus.anu.edu.au. Checked 18 October 2026.
  3. PbP2: Portfolio-based Planner eprints.hud.ac.uk. Checked 18 October 2026.
  4. Hall of Fame – Digital ECAI 2020 digital.ecai2020.eu. Checked 18 October 2026.
  5. Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning ojs.aaai.org. Checked 18 October 2026.
  6. VeriPlan: An Agentic AI Framework Integrating LLMs and Symbolic Planning for Verifiable, High Quality, and Robust Multi-Agent Workflows expertise.unibs.it. Checked 18 October 2026.
  7. ICAPS 2026 icaps-conference.org. Checked 18 October 2026.