PeopleofSuperintelligence

Researcher

Biswajeet Pradhan

Biswajeet Pradhan brings AI methods into natural-hazard research. He earned degrees at universities in India, Malaysia and Germany, and his career included research at TU Dresden and professor roles at Universiti Putra Malaysia. His publications include an explainable-AI review of hydrometeorological hazards and an attention-based YOLOv5 model for satellite landslide detection. As of October 2026, he is a Distinguished Professor at the University of Technology Sydney and Director of CAMGIS.

Works
1,057
Citations
77,055
h-index
147
Rankings
#18 by h-index, #5 by h-index since 2021, #93 by citations since 2021 and #45 by cited papers
Badges

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 1995–2006

    Four university degrees

    He earns a BSc with distinction at Berhampur University in 1995, an MSc at IIT Bombay in 1998, an MTech at IIT Kanpur in 2000, and a PhD at Universiti Putra Malaysia in 2006.

  2. 2008

    An Alexander von Humboldt Fellowship

    He receives an Alexander von Humboldt Fellowship in 2008 and spends two years at TU Dresden developing geospatial tools for landslide hazard and risk assessment.

  3. 2010–2017

    Professor at Universiti Putra Malaysia

    In 2010, he joins Universiti Putra Malaysia as an associate professor and becomes a full professor in 2017. He serves as principal researcher at its Geo-spatial Information Science Research Centre.

  4. 2011

    A Remote Sensing Habilitation

    He completes a Remote Sensing Habilitation at Dresden University of Technology in 2011.

  5. 2015–2022

    Ambassador Scientist and World Class Professor

    He serves as Ambassador Scientist for the Alexander von Humboldt Foundation from 2015 to 2022. Indonesia's Ministry of Research, Technology and Higher Education appoints him World Class Professor for 2018–2020.

  6. 2024

    An AI review of climate hazards

    In 2024, he coauthors a review of explainable AI and its potential uses in hydrometeorological natural hazards.

  7. 2025

    YOLOv5 for satellite landslide detection

    In 2025, he coauthors a YOLOv5 study that adds CBAM and ECA attention modules for landslide detection in satellite images. Its YOLOv5n + CBAM variant records a 77.2% F-score.

  8. As of October 2026

    Director of CAMGIS at UTS

    In September 2017, he joins UTS as a research-only academic. As of October 2026, he is a Distinguished Professor and Director of CAMGIS; his research focuses on spatial modelling and GeoAI frameworks. A 2025 conference lists him in those roles, and UTS lists him as an Engineering and Information Technology Academic Board member for 2025–2026.

Career

  1. Since 2017University of Technology SydneyDistinguished Professor, Academic Board member
  2. 2025–2026Symbiosis International University
  3. 2020–2024King Abdulaziz University
  4. 2020–2026National University of Malaysia
  5. 2016–2017Sejong University
  6. 2015–2022Alexander von Humboldt FoundationAmbassador Scientist
  7. 2010–2017Universiti Putra MalaysiaAssociate Professor, Full Professor
  8. 2008–2012Technische Universität DresdenResearcher

Education

  1. 2006Universiti Putra MalaysiaPhD
  2. 2000Indian Institute of Technology KanpurMTech
  3. 1998IIT BombayMSc
  4. 1995Berhampur UniversityBSc

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

Most-cited works

  1. Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree2015 · Landslides · 1,253 citations
  2. A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS2012 · Computers & Geosciences · 1,197 citations
  3. Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models2006 · Landslides · 1,096 citations
  4. Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran2012 · Natural Hazards · 1,035 citations
  5. Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS2014 · Journal of Hydrology · 1,008 citations

From OpenAlex, as of 19 October 2026.

  1. The company share of AI researchers’ top papers rose from 2% to 32%Includes University of Technology Sydney. 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. Stanford University trained or employed 26 of the 108 AI major-prize winners, more than any other universityIncludes University of Technology Sydney. 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.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Technische Universität Dresden. Our estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.
  4. 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.

Colleagues

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

Sources and credits

Photo: We have no published photo of Biswajeet Pradhan yet. Send us a free-licensed photo.

  1. Prof. Biswajeet Pradhan | Department of Civil Engineering | MNIT Jaipur mnit.ac.in. Checked 18 October 2026.
  2. Biswajeet Pradhan - Wikipedia en.wikipedia.org. Checked 18 October 2026.
  3. Biswajeet Pradhan | About | University of Technology Sydney profiles.uts.edu.au. Checked 18 October 2026.
  4. Artificial Intelligence: A new era for spatial modelling and interpreting climate-induced hazard assessment journal.hep.com.cn. Checked 18 October 2026.
  5. Attention Driven YOLOv5 Network for Enhanced Landslide Detection Using Satellite Imagery of Complex Terrain techscience.com. Checked 18 October 2026.
  6. International Conference on Trailblazing Trends in Sustainable Climate Resilient Precision Agriculture Through Artificial Intelligence and Remote Sensing ictpairs.in. Checked 18 October 2026.
  7. Academic Board | University of Technology Sydney uts.edu.au. Checked 18 October 2026.