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Exploring the complexity of complex (mega) projects

Owing to unexpected emerging behaviour, interdependencies among participating stakeholders and wider scope, today's projects are becoming more complex. Understanding the complex nat more...

Supervisor(s): Uddin, Shahadat (Dr)

Characterizing Transport Networks

In an increasingly urbanized world, people remain connected by a complex nexus of roads, rails, paths, and sidewalks that form urban transportation systems and shape travel demand. more...

Supervisor(s): Levinson, David (Professor)

Neuromorphic AI

This project involves complex systems modelling of neuromorphic atomic switch networks to emulate emergent brain-like features of adaptive, deep-learning for application to Artifici more...

Supervisor(s): Kuncic, Zdenka (Professor)

Simulating Transport for Realistic Engineering Education and Training

Understanding and predicting travel demand and travel patterns is one of the most important
but also most challenging tasks of transport
engineers, planners, and geographers. Tr more...

Supervisor(s): Levinson, David (Professor), Ramezani Ghalenoei, Mohsen (Dr)

Understanding disease progression and comorbidities using multi-omics and clinical information

This research project aims at exploring clinical and multi-omics data to improve our present understanding of disease progression, transition and comorbidities. To achieve this aim, more...

Supervisor(s): Uddin, Shahadat (Dr)

Technological Change and the Future of Cities

Many transport analysts envision a forward-looking, ambitious and disruptive cloud commuting-based transport system for future smart cities based on emerging connected, autonomous v more...

Supervisor(s): Levinson, David (Professor)

Somwrita Sarkar's Research Area

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Supervisor(s): Sarkar, Somwrita (Dr)

Inferring the dimensionality of dynamical systems automatically using machine learning

This research will develop methods to infer the dimensionality of a dynamical system automatically, by adapting dimensionality reduction methods to high-dimensional time-series feat more...

Supervisor(s): Fulcher, Ben (Dr)

Time-series biomarkers of neurological disorders

This research will develop a new machine learning framework for finding and quantifying patterns of brain dynamics that distinguish patients with brain disorders from healthy contro more...

Supervisor(s): Fulcher, Ben (Dr)

Highly comparative time-series analysis

This research involves developing new methods for time-series analysis based on a new analytic framework for understanding structure in time series. more...

Supervisor(s): Fulcher, Ben (Dr)