PhD in mechanical engineering
priority research area: MobilityTec
Scientific achievements
Dr. Subrata Ghosh, an assistant professor at the Faculty of Mechanical Engineering of the Lodz University of Technology, is a theoretical physicist and researcher of complex systems. His work focuses on the dynamics of complex networks, epidemiology, synchronization, information spreading processes, and machine learning methods applied to forecasting phenomena in real-world systems. Of particular importance are his studies on the stability and instability of dynamical systems, transitions to critical states, and the universal nonlinear dynamics of damped and driven systems. His achievements also include the development of frameworks for forecasting infection trends using Echo State Networks. This approach, trained on synthetic SIR model data and real COVID-19 data, enabled shortterm predictions up to seven days ahead without requiring full knowledge of transmission dynamics.
Research profile and research directions
Dr. Ghosh’s research primarily focuses on dynamical processes occurring in complex networks, combining nonlinear dynamics, statistical physics, and complex systems to uncover the mechanisms underlying phase transitions and collective phenomena in oscillator, neuronal, social, and ecological systems. Driven by curiosity and a desire to make a real-world impact, he has expanded his expertise to include applied problems of high importance, developing machine learning frameworks for forecasting extreme events, epidemic trends, and synchronization patterns in oscillators. His research profile uniquely integrates rigorous mathematical modeling, dynamical systems theory, and modern data-driven methods, enabling him to tackle some of the most challenging problems related to the prediction and control of real-world systems.His future plans include building predictive models for biological and epidemiological systems, integrating network theory, dynamical systems, and machine learning. Particular emphasis is placed on platforms for forecasting infectious diseases such as dengue, malaria, and COVID-19, as well as computational biomarkers of neurological disorders based on EEG data.
International cooperation and recognition
Dr. Ghosh’s scientific activity is strongly international in scope and includes collaboration with researchers from Poland, India, China, Germany, Slovenia, and other centers conducting research in complex systems and nonlinear dynamics.
He serves as a Topic Editor for Frontiers in Computational Neuroscience and as a Guest Editor for the journal Symmetry. In 2025, he received the Distinguished Referee of Europhysics Letters award. He also serves as a reviewer for more than 15 journals, including Physical Review Letters and Nature Communications.