Dynamical systems, nonlinear waves, and applied mathematics
I study theoretical and computational dynamical systems, especially nonlinear waves in differential equations that model physical phenomena.
About
Hadi Susanto was born and raised in Lumajang, East Java, Indonesia (see the beauty of the region here). He earned his BSc (2001) in Mathematics from Institut Teknologi Bandung, where he completed his undergraduate thesis under the supervision of Barbera van de Fliert and Edy Soewono. He pursued his postgraduate studies (MSc, 2003; PhD, 2006) in Applied Mathematics at the University of Twente, under the supervision of Stephan van Gils.
From 2005 to 2007, he was a Visiting Assistant Professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst, mentored by Panos Kevrekidis. He then joined the University of Nottingham as a Lecturer in Applied Mathematics (2008-2013), before moving to the University of Essex, where he served as a Senior Lecturer and later became a Professor of Applied Mathematics. He is currently a Professor in the Department of Mathematics at Khalifa University.
He also holds adjunct/honorary professorships at Institut Teknologi Sumatera (ITERA) and the University of Indonesia (UI), serves on the ITB Advisory Board, and is an Associate Editor for the IMA Journal of Applied Mathematics, Optical and Quantum Electronics, Frontiers in Photonics, and Communications in Biomathematical Sciences.
He also enjoys writing literature, including poetry, prose, and essays. Covers of books that contain his writings are available here.
Research Interests
Discrete and continuous NLS equations, solitons, breathers, fronts, rogue waves, localized states, symmetry breaking, quantum droplets, Swift-Hohenberg equations, supratransmission, and topological or edge states.
Stability analysis, bifurcation theory, chaos, Hamiltonian systems, Lagrangian descriptors, fractional dynamical systems, network dynamics, and metric graphs.
PT symmetry, nonlocal NLS equations, optical lattices, semiconductor lasers, VCSELs and spin-VCSELs, Bragg gratings, and quantum optical systems.
Physics-informed neural networks, neural-network-based bifurcation analysis, reservoir computing, reinforcement learning, deep genetic algorithms, data-driven forecasting, and scientific AI.
Epidemiology, ecological systems, population dynamics, celestial mechanics, gravitation and cosmology, and space mission dynamics.
Publications
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Teaching
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Contact
Department of Mathematics
Khalifa University
United Arab Emirates