PeopleofSuperintelligence

Researcher

Abbas Khosravi

Abbas Khosravi is a Deakin University researcher whose AI work spans uncertainty in medical data and deep learning, wearable assistive devices, and imitation learning. He studied electrical engineering at Sharif University of Technology and Amirkabir University of Technology, then completed a Deakin PhD in information technology in 2010. His work includes reviews of machine-learning uncertainty, neural-network models for ankle-based activity recognition, and research on imitation learning and uncertainty-aware skin-cancer classification. As of October 2026, he is a professor at Deakin's Institute for Intelligent Systems Research and Innovation.

Works
456
Citations
22,746
h-index
78
Links
Website

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2002–2005

    Electrical engineering degrees

    In 2002, he earns a bachelor's degree in electrical engineering at Sharif University of Technology; in 2005, he earns a master's degree in electrical engineering at Amirkabir University of Technology.

  2. 2010

    A Deakin PhD in IT

    In 2010, he completes a PhD in information technology at Deakin University focused on machine learning and artificial intelligence.

  3. 2020

    Uncertainty in medical data

    In 2020, he coauthors a review of 30 years of research on uncertainty in medical data using machine learning and probability theory.

  4. 2020

    Uncertainty in deep learning

    In 2020, he coauthors a review of uncertainty quantification methods in deep learning, covering applications and research challenges.

  5. 2022

    Activity recognition for wearables

    In 2022, he coauthors a conference paper that uses artificial neural networks to recognize human activity from ankle inertial signals for lower-leg assistive devices.

  6. 2023

    A survey of imitation learning

    In 2023, he coauthors a survey that introduces imitation learning, reviews its approaches, and discusses recent advances and research challenges in robotics and AI.

  7. 2025

    Uncertainty-aware skin cancer models

    In 2025, he coauthors a study of deep learning and uncertainty quantification for skin-lesion classification.

  8. As of October 2026

    Professor at Deakin

    As of October 2026, he is a professor at Deakin University's Institute for Intelligent Systems Research and Innovation.

Career

  1. Since 2009Deakin UniversityProfessor
  2. 2006–2008Universitat de Girona

Education

  1. 2010Deakin UniversityPhD in information technology
  2. 2005Amirkabir University of TechnologyMaster's degree in electrical engineering
  3. 2002Sharif University of TechnologyBachelor's degree in electrical engineering

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

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Deakin University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Deakin University. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Deakin University. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  4. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Deakin University. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.

Colleagues

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

Sources and credits

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  1. Abbas Khosravi - Editorial Board - Scientific Research Publishing scirp.org. Checked 20 October 2026.
  2. [2008.10114] Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020) arxiv.org. Checked 20 October 2026.
  3. [2011.06225] A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges arxiv.org. Checked 20 October 2026.
  4. [2403.04387] Comparison of Deep Learning Techniques on Human Activity Recognition using Ankle Inertial Signals arxiv.org. Checked 20 October 2026.
  5. [2309.02473] A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges arxiv.org. Checked 20 October 2026.
  6. [2506.10302] A Quad-Step Approach to Uncertainty-Aware Deep Learning for Skin Cancer Classification arxiv.org. Checked 20 October 2026.
  7. Abbas Khosravi | About me | Deakin University Symplectic, part of Digital Science experts.deakin.edu.au. Checked 20 October 2026.