Peer Reviewers
Peer Reviewers
Academic experts supporting rigorous, independent, and constructive peer review.
Bioenvironmental Modelling and Optimization recognizes the scholarly contribution of peer reviewers with expertise in mathematical modelling, dynamical systems, optimization, statistical modelling, and computational methods applied to biological and environmental systems. The directory below provides information on reviewers' institutional affiliations, research specializations, and academic profiles.
Prof. Dr. Dipo Aldila
Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia
Expertise: Mathematical Epidemiology; Mathematical Modelling; Dynamical Systems; Optimal Control
Dr. Hengki Tasman
Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia
Expertise: Mathematical Epidemiology; Dynamical Systems; Mathematical Biology; Optimal Control
Prof. Dr. Fajar Adi Kusumo
Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada
Expertise: Dynamical Systems; Mathematical Modelling; Biomathematics; Climate Modelling
Prof. Dr. Gunardi
Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada
Expertise: Statistical Modelling; Nonparametric Regression; Geographically Weighted Regression; Actuarial Modelling
Prof. Dr.techn. Mohammad Isa Irawan
Department of Mathematics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember
Expertise: Machine Learning; Data Science; Bioinformatics; Artificial Intelligence; Data Mining
Prof. Dr. Mardlijah
Department of Mathematics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember
Expertise: Applied Mathematics; Mathematical Modelling; Optimal Control; System and Control
Reviewer Selection and Ethics
Reviewers are selected according to their expertise and the relevance of their research to submitted manuscripts. They are expected to maintain confidentiality, provide objective and constructive assessments, and disclose potential conflicts of interest.
Academic profile links are provided where available. Reviewer affiliations and research interests may be updated periodically.
