PeopleofSuperintelligence

Researcher

Hani Hagras

Hani Hagras is an AI researcher whose work spans type-2 fuzzy systems, embedded agents, and explainable AI. He earned electrical engineering degrees at Alexandria and a computer science PhD at Essex, where he became Professor of Artificial Intelligence and Director of the Computational Intelligence Centre. He co-founded Logical Glue in 2012; Temenos acquired the explainable AI platform in 2019, and his fuzzy-logic work on iPatch won Essex's Best Research Impact award in 2017. A 2022 paper applies temporal type-2 fuzzy logic to time-dependent explainable AI; he received the IEEE CIS Pioneer Award on Fuzzy Systems in 2026 and is Chief AI Officer and Head of Product, AI Platform at SBS.

Timeline

  1. 1994–2003

    Degrees and early Essex roles

    He earns BSc and MSc degrees in electrical engineering at Alexandria in 1994 and 1996, then a PhD in computer science focused on robotics and autonomous systems at Essex in 2000. He lectures in computer science at Hull from March 2000 to January 2001, then at Essex from January 2001 to August 2003, and becomes a senior lecturer in August 2003.

  2. 2004

    A type-2 robot controller

    In 2004, he publishes “A Type-2 Fuzzy Logic Controller for Mobile Robots.”

  3. 2006–2007

    Professor at Essex

    At Essex, he becomes Professor of Artificial Intelligence in June 2006 and Director of the Computational Intelligence Centre in May 2007.

  4. 2012–2019

    Co-founding Logical Glue

    He co-founds Logical Glue in 2012; Temenos acquires the explainable AI platform in 2019.

  5. 2017

    Essex's Best Research Impact Award

    In 2017, he wins Essex's Best Research Impact award for developing iPatch with fuzzy logic, which enables BT to plan the movement of staff.

  6. 2022

    Temporal type-2 explainable AI

    In 2022, he coauthors a temporal type-2 fuzzy logic system for time-dependent explainable AI.

  7. 2026

    IEEE CIS Pioneer Award

    He receives the IEEE Computational Intelligence Society Pioneer Award on Fuzzy Systems in 2026 for contributions to type-2 fuzzy systems, embedded agents, and explainable AI.

  8. As of October 2026

    Chief AI Officer at SBS

    He is Chief AI Officer and Head of Product, AI Platform at SBS, and Professor of Artificial Intelligence at the University of Essex.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. 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.
  3. 46% 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.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Sources and credits

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  1. Hani Hagras hanihagras.net. Checked 19 October 2026.
  2. Hani Hagras | SBS | Software for banks & lenders sbs-software.com. Checked 19 October 2026.
  3. Essex academics changing the world through their research | University of Essex essex.ac.uk. Checked 19 October 2026.
  4. A Temporal Type-2 Fuzzy System for Time-dependent Explainable Artificial Intelligence arxiv.org. Checked 19 October 2026.
  5. THINK DIFFERENT - COMPUTE SMARTER_First Webinar : vTools Events | vTools IEEE events.vtools.ieee.org. Checked 19 October 2026.