Regional academy of the Pacific

Md Golam Mostafa Khan
Fellow
About
Md Golam Mostafa Khan
Professor of Statistics, The University of the South Pacific
Background:
Professor Md. Golam Mostafa Khan is Professor of Statistics and Deputy Head of School at The University of the South Pacific (USP), Fiji, where he has served since 2001. An internationally recognised quantitative scientist, he has made significant contributions to statistical methodology, mathematical optimisation, artificial intelligence, machine learning, and data science, with interdisciplinary applications in renewable energy, climate science, health, and environmental research.
He has published more than 80 peer-reviewed journal articles and 40 refereed conference papers and book chapters, developed internationally used open-source statistical software, and supervised four PhD and 31 Master's students. His research has received over 1,140 Scopus citations (h-index 20) and 2,700 Google Scholar citations (h-index 29), reflecting its international reach and influence.
Beyond his research, Professor Khan's enduring contribution lies in strengthening scientific capability across the Pacific through academic leadership, postgraduate supervision, professional training, consultancy and interdisciplinary collaboration. His work supports methodological innovation, evidence-informed decision-making and the development of quantitative research skills to address regional challenges.
As a Fellow of the Pacific Academy of Sciences, he is committed to advancing scientific excellence, regional collaboration, and the development of next generations of Pacific researchers.

Md Golam Mostafa Khan
Fellow
About
Md Golam Mostafa Khan
Professor of Statistics, The University of the South Pacific
Background:
Professor Md. Golam Mostafa Khan is Professor of Statistics and Deputy Head of School at The University of the South Pacific (USP), Fiji, where he has served since 2001. An internationally recognised quantitative scientist, he has made significant contributions to statistical methodology, mathematical optimisation, artificial intelligence, machine learning, and data science, with interdisciplinary applications in renewable energy, climate science, health, and environmental research.
He has published more than 80 peer-reviewed journal articles and 40 refereed conference papers and book chapters, developed internationally used open-source statistical software, and supervised four PhD and 31 Master's students. His research has received over 1,140 Scopus citations (h-index 20) and 2,700 Google Scholar citations (h-index 29), reflecting its international reach and influence.
Beyond his research, Professor Khan's enduring contribution lies in strengthening scientific capability across the Pacific through academic leadership, postgraduate supervision, professional training, consultancy and interdisciplinary collaboration. His work supports methodological innovation, evidence-informed decision-making and the development of quantitative research skills to address regional challenges.
As a Fellow of the Pacific Academy of Sciences, he is committed to advancing scientific excellence, regional collaboration, and the development of next generations of Pacific researchers.

Md Golam Mostafa Khan
Fellow
About
Md Golam Mostafa Khan
Professor of Statistics, The University of the South Pacific
Background:
Professor Md. Golam Mostafa Khan is Professor of Statistics and Deputy Head of School at The University of the South Pacific (USP), Fiji, where he has served since 2001. An internationally recognised quantitative scientist, he has made significant contributions to statistical methodology, mathematical optimisation, artificial intelligence, machine learning, and data science, with interdisciplinary applications in renewable energy, climate science, health, and environmental research.
He has published more than 80 peer-reviewed journal articles and 40 refereed conference papers and book chapters, developed internationally used open-source statistical software, and supervised four PhD and 31 Master's students. His research has received over 1,140 Scopus citations (h-index 20) and 2,700 Google Scholar citations (h-index 29), reflecting its international reach and influence.
Beyond his research, Professor Khan's enduring contribution lies in strengthening scientific capability across the Pacific through academic leadership, postgraduate supervision, professional training, consultancy and interdisciplinary collaboration. His work supports methodological innovation, evidence-informed decision-making and the development of quantitative research skills to address regional challenges.
As a Fellow of the Pacific Academy of Sciences, he is committed to advancing scientific excellence, regional collaboration, and the development of next generations of Pacific researchers.

Md Golam Mostafa Khan
Fellow
About
Md Golam Mostafa Khan
Professor of Statistics, The University of the South Pacific
Background:
Professor Md. Golam Mostafa Khan is Professor of Statistics and Deputy Head of School at The University of the South Pacific (USP), Fiji, where he has served since 2001. An internationally recognised quantitative scientist, he has made significant contributions to statistical methodology, mathematical optimisation, artificial intelligence, machine learning, and data science, with interdisciplinary applications in renewable energy, climate science, health, and environmental research.
He has published more than 80 peer-reviewed journal articles and 40 refereed conference papers and book chapters, developed internationally used open-source statistical software, and supervised four PhD and 31 Master's students. His research has received over 1,140 Scopus citations (h-index 20) and 2,700 Google Scholar citations (h-index 29), reflecting its international reach and influence.
Beyond his research, Professor Khan's enduring contribution lies in strengthening scientific capability across the Pacific through academic leadership, postgraduate supervision, professional training, consultancy and interdisciplinary collaboration. His work supports methodological innovation, evidence-informed decision-making and the development of quantitative research skills to address regional challenges.
As a Fellow of the Pacific Academy of Sciences, he is committed to advancing scientific excellence, regional collaboration, and the development of next generations of Pacific researchers.