College of Science and Engineering

Dr. Karl Mason 

Machine Learning, Artificial Intelligence, Applied Machine Learning 

Dr. Patrick Mannion 

Multi-Objective Decision Making, Multi-Agent Systems, Reinforcement Learning, Optimisation, Game Theory 

Dr. Waqar Shahid Qureshi 

Automated Image Analysis; Deep Learning Architectures; Machine Learning 

Automated Framework for Pavement Condition Assessment  

Experience in implementing deep learning architectures using PyTorch or TensorFlow 

Dr. Effirul Ramlan 

Biological computing, Molecular computing, Computing using nature-inspired novel substrates. 

Augmenting Foundational Models to Engineer Complex Supramolecular Systems for Nanotherapeutics 

PhD in Computer Science / Biochemistry with keen interest in exploring self-organised computing systems 

Dr. John McCrae 

Natural language processing, knowledge graphs, artificial intelligence, linked data, lexicography, digital humanities 

Projects related to the application of natural language processing techniques, especially large language models, to areas related to the construction of knowledge graphs, particularly with application to digital humanities areas 

Good knowledge of NLP and related technologies 

Dr. Bharathi Raja Chakravarthi 

Natural Language Processing 

Prof. Peter Corcoran 

Computational, Cognitive and Connected Imaging; Computer Vision; Neural Networks (Neural Algorithms, Training Methodologies, Data Augmentations, Generative Data (for Training)); Edge-AI; Neural Speech Processing, Child Speech Processing (text-to-speech and speech-to-text); Multi-modal Imaging (Thermal, NIR, LWIR, Event-Camera, Neuromorphic Vision, etc); Analysis of Human Subjects (Computer Vision, Speech). 

"Sensing without Seeing" - using Event Cameras to provide Security and Privacy when analysing human subjects for their cognitive load, emotional state and behaviours. Use cases in advance HCI (Human Computer Interaction); Training Data Synthesis for Event Cameras and use cases in Embedded Imaging (Neural Accelerators); Improved Child Speech Understanding and Speech Generation; Edge-AI (embedded) Child Speech for Smart Toy platform 

Image, Video, Speech Analysis; knowledge of state of art neural algorithms (vision transformers, diffusion models, etc); Working with Event Cameras or similar asynchronous data signals; work with spiking or sigma-delta NN or equivalent;  embedded programming and/or FPGA experience; Neural Speech experience, particularly in low-resource languages or equivalent; experience with training advanced neural models or complex training frameworks; experience with transfer learning and fine-tuning of advanced neural models/architectures. 

Dr. Pedram Masjedi 

Developing advanced numerical tools for the aero/hydro-elastic analysis of onshore and offshore wind turbines, as well as composite structures; Computational mechanics, especially meshless methods and Isogeometric Analysis (IGA); Wind Turbines, Aeroelasticity, Fluid Structure Interaction (FSI), Composite Structures, Computational Mechanics, Meshless Methods, Isogeometric Analysis (IGA) 

Strong skills in the mathematical modelling of solids and/or fluids, numerical methods and computer programming 

Dr. Pouyan Ghabezi 

Composites, Additive Manufacturing, 3D printing, Composite material characterization, Advanced manufacturing and testing of composites, Polymers recycling, FEM 

Dr. Muhammad Muhammad 

Mechanical metamaterials, acoustic metamaterials, elastic metastructures, phononic crystals, topological phononic metamaterials, vibration and acoustics, finite element analysis modelling, structural dynamics, solid and fluid mechanics  

Guided acoustic/elastic waves in nonreciprocal nonlinear media; Mechanical metamaterial based orthopaedic implants for biomedical applications 

Finite element analysis (COMSOL Multiphysics desirable), structural design and analysis, structural dynamics, wave propagation, mechanical tests 

Prof. Kathryn Cormican 

Technology innovation management; Responsible service innovation; Digital service innovation; Operational excellence; Project management 

Digital service innovation: Capability model and performance indicators 

Ability to synthesize and analyse literature, Model development, Advanced statistics e.g. partial least squares structured equation modelling (PLS SEM) Excellent writing skills 

Dr. Eimear Dolan 

Medical Implants; Local Repeated Therapy Delivery; Foreign Body Response; Innovation 

Developing novel medical implants to facilitate the long-term delivery of cell and drug-based therapeutics for diseases such as ovarian cancer and diabetes; particularly interested in active medical implants (particularly soft robotic technologies), their mechanobiological effect on the host cells and coupling advanced therapies to minimally invasive delivery strategies. 

Background in Biomedical Engineering or Immunology with an interest in design and assessment of medical implants

Prof. Abhay Pandit 

Biomaterials, Drug Delivery, Tissue Engineering, Biomaterial Synthesis 

Regeneration by Glyco-functionalisation of Biomaterial Systems 

Strong proven experience in molecular biology or biomaterial synthesis, histopathology, good writing skills, independent and proven track record in high impact journals 

Dr. Merve Suzan Zeden 

Antimicrobial Resistance, MRSA, ESKAPE Pathogens, Bacterial Metabolism, Signalling nucleotides 

Molecular Mechanisms of AMR in the ESKAPE Pathogens 

Molecular Bacteriology, Bioinformatics, Omics, Biochemistry 

Prof. Mark Johnson 

Marine Ecology 

Improving precision of macroalgal canopy photosynthesis estimates 

Simulation modelling, field work, lab analyses 

Prof. Alan Ryder 

Analytical Chemistry; Bioanalytical sciences; Biophysics; Fluorescence spectroscopy; Raman spectroscopy; Chemometrics/Data analysis.   

1) Excitation Emission Fluorescence Lifetime Matrix (EEFLM) spectroscopy:  The primary aim of this project is to further develop the Excitation Emission Fluorescence Lifetime Matrix (EEFLM) system (hardware, software, theory, applications) which we can use to validate our ARMES-based methods for the rapid quantitative characterisation of proteins.;  2) Using Total Internal Reflection Fluorescence (TIRF) Microscopy to study the interaction of proteins with surfaces.  TIRF localises the fluorescence excitation zone to a nanometre thick (40-200 nm) zone just above the surface of a glass coverslip. This means that only fluorophores in this zone are excited and thus it is an ideal way to study protein-surface interactions; 3) Use of pEEM and single molecule detection (SMD) methods for the quantitative analysis of protein-surfactant interactions.  We have an interest to look at how surfactants interact with proteins.  The idea being that these types are important for understanding the risks involved in packaging therapeutic proteins in polymer vials.  It is also important in the context of understanding problems in the downstream processing of biopharmaceuticals.  

Biophysics, Fluorescence Spectroscopy, Optical Instrumentation. 

Dr. Brian Ward 

Ocean climate; Ocean mixed layer; Air-sea exchange  

Turbulence in the mixed layer and its role in the oceanic uptake of carbon dioxide 

Oceanography background; Matlab/Python coding; field experience; ocean instruments. 

Prof. Louise Allcock 

Evolution and systematics (including molecular systematics) of cephalopods; deep sea, with a focus on octocorals (including sea pens); octocoral research comprising of a mix of phylogenetics / systematics and species distribution modelling with a view to supporting conservation of deep-sea habitats. 

Dr. Enda Barrett 

Cybersecurity, Machine Learning, Artificial Intelligence, Cloud Computing, Energy Management 

Building threat detection and projection models using longitudinal machine learning 

Computer Science, Statistics, Machine Learning, Programming