CV

Biography

Dr. Gianluca Fabiani is a Postdoctoral Fellow at the Hopkins Extreme Materials Institute (HEMI), Johns Hopkins University, working with Prof. Yannis G. Kevrekidis. He completed his Ph.D. in Modeling and Engineering Risk and Complexity (MERC) at the Scuola Superiore Meridionale (Naples), under the supervision of Prof. Constantinos Siettos and co-advising of Prof. Kevrekidis. He holds an M.Sc. in Applied Mathematics with honors from the University of Naples Federico II.

His research focuses on solving forward and inverse problems for ODEs, PDEs, and agent-based models using machine learning and numerical analysis. He develops multi-scale, data-driven frameworks based on physics-informed neural networks (PINNs) and random projection neural networks (RPNNs) for tasks such as bifurcation analysis, control design, and rare event estimation. His work bridges data-driven and mechanistic modeling with applications spanning climate, epidemiology, and complex materials.

Dr. Fabiani has authored 14 research papers, including in Nature Communications, Journal of Computational Physics, and SIAM Journal on Scientific Computing, and has collaborated with over 20 researchers across disciplines.

Current Position

Education

Visiting Experiences

Research Activities

Publications Impact

From ResearchGate (RG) and Google Scholar (GS), updated up to May 14, 2024

List of peer-reviewed publications

List of Preprints

Talks in International Conferences

Conference Organization

Local Organizing Committee:

Invited Speaker

Minisymposia Organization

Teaching (Assistant and Didactic Internship)

Peer-reviewing activity

Gianluca Fabiani has served as a reviewer for several scientific journals, covering topics related to scientific computing, dynamical systems, and multidisciplinary research. His peer review contributions include the following (total 30 reviews):

Skills

Awards

Others

European Driving license B