Systems modelling for renewable energy transition under different conditions
The project is to analyse and simulate renewable and hydrogen energy systems under different environments that correspond to typical conditions in Australia and India. This research is focused on suggesting suitable technological pathways for energy transitions under different conditions.
Biomass and coal co-utilization for cleaner power and green hydrogen
Burning of agricultural waste or stubble along with domestic biomass burning in Northern India has played a significant role in the air quality reaching toxic levels. This project will explore the technologies required for utilizing these biomass for producing cleaner power and green hydrogen.
Computational fluid dynamics analysis of vascular gas embolism: Understanding the mechanisms and hemodynamic consequences
This project will study the fluid dynamics associated with vascular gas embolisms, a potentially life-threatening condition that occurs due to the presence of gas bubbles within the bloodstream. It will contribute to understanding the mechanisms involved and their impact on vascular health.
Exploring the Interplay of Biodiversity, Climate Zones, and Human Health
Various factors impact human health, including proximity to urban parks. The abundance and richness of species in these parks promote human well-being. Comprehensive climate zone observations are vital for better understanding the connection between biodiversity and human health.
Clustering and embedding based analysis of multilayer networks and hypergraphs to identify higher-order relationships and predict rare events
Analyzing complex network data in the context of higher-order relationships is challenging but has diverse real-world applications. Network data analysis and graph machine learning based on higher-order network data, hypergraphs, tensors, and simplicial complexes require developing novel algorithms.
Modelling global riparian traffic networks as a complex human-natural system
This project aims to develop network clustering algorithms to model structures and factors that characterize the global riparian urban traffic networks as a co-evolving human-natural system. It will contribute to building more sustainable cities.
Microplastic Contamination Studies using Raman and THz spectroscopy
This project will include experimental studies for sensing microplastics. We will use an in-house developed ULF Raman and THz spectroscopy & imaging system at IIT Delhi. At UQ, a THz-LFI system based on THz QCLs will be used. Machine learning algorithms will be developed to interpret the results.
Professor Aleksandar Rakic
School of Information Technology and Electrical EngineeringPassive control of wind turbine tower vibration
The project will investigate novel vibration control techniques for wind turbines. The research will focus on refined modelling of aerodynamic loads and aeroelastic excitations. The outcomes are expected to widen the range of safe operating conditions, i.e., increase availability, of wind turbines.
Development of efficient numerical tools for designing origami-based metamaterial.
Origami-inspired metamaterials allow new mechanical properties to be artificially engineered, by folding a flat sheet. This project involves numerical and experimental studies on designing origami-inspired metamaterials with optimum weight-specific elastic energy absorption attributes.
Understanding phase interactions in the porous transport layer of polymer electrolyte membrane water electrolysers
This project aims to investigate phase interactions in the PTL of PEM water electrolysers. PTL is crucial for efficient water splitting, but its behaviour is not fully understood. By studying the two-phase flow in PTL, we seek to enhance PEM electrolysis for sustainable hydrogen production.