Research Supervisor Details

This page provides additional information about our research supervisors. You can either browser supervisors by department or search for them by keyword. Most supervisors also have a personal webpage where you can find out more about them.

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Dr Jonathan Aitken
jonathan.aitken@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

My research interests lie in a broad collection of areas that focus around operation of autonomous robotic systems. My key research goals are to enable seemless operation of robotic systems in complex operating environments, whether this be:

  • Manufacturing systems especilly autonomous collaborative robotics, looking at systems architectures that provide flexibility across different tasks
  • Developing digital twins and models of collaborative robots that enables the design of systems that faciliates manufacturing   
  • Operation of autonomous UAVs in normal traffic environments 
  • Trust in autonomous robot systems operating in public and maufacturign environments.
  • Robots operating in underground pipe networks, especially focusing on navigation

I have a collection of other research intersts that I would be interested in develping further:

  • Visual navigation, visual odometry in GPS-denied environments
  • Optimisation of code related to autonomous robotic applications
Dr Sean Anderson
s.anderson@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering
Research interests:
  • Identification of continuous- and discrete-time dynamic systems
  • Nonlinear systems modelling
  • Adaptive and optimal control in biological systems
  • Neurorobotics
  • Oculomotor plant dynamics
  • Cerebellar function
Dr Roselina Arelhi
r.arelhi@sheffield.ac.uk

Department of Automatic Control and Systems Engineering

My research is primarily concerned with the processing of sound signals in particular speech. This includes speech/speaker recognition, compression, data analysis with a focus on dimensionality reduction, natural language processing and recognition of short-utterances. Examples of area of applications are voice-control systems such as in Internet-of-Things connected devices and service robots.

 

Dr Mahnaz Arvaneh
M.Arvaneh@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

Research Interests:

  • Biomedical signal processing, machine learning and pattern recognition
  • Statistical and adaptive signal processing, and mathematical modelling of bioelectric signals
  • Neural and cognitive process, clinical applications, and understanding
  • Brain–computer interface algorithms, systems, adaptation, and applications
  • Robotic and BCI-based stroke rehabilitation
  • Neuroprosthetic learning and control
  • Medical system and device research and development

Keywords: Automatic Control and Systems Engineering

Professor Michail Balikhin
m.balikhin@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

Research interests:

  • Space Plasma
  • Turbulence in high beta (hot) plasma
  • Collisionless Shocks
  • Avalanching Systems
  • Space Weather
  • Solar-Terrestrial Relations
  • Spacecraft Instrumentation
  • Nonlinear Systems
  • Identification of linear and non-linear processes in data
  • Methods of data analysis for multi-spacecraft missions.
Professor Daniel Coca
d.coca@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

Research interests:

My research work spans the broad area of nonlinear and complex dynamical systems. I am interested in developing novel mathematical, computational and analytical methods to analyse, model and control complex dynamical systems as well as apply the tools developed to complex systems in physics, engineering, life sciences and finance.

Complex systems modelling, identification and control:
Stem cell population dynamics; Crystal growth; Brain activity; Solar wind - magnetosphere interaction; Financial markets.

Bioimaging & biological data analysis:
Diffuse Optical Tomography; Protein Identification/Protein Mass Fingerprinting; Cell imaging data analysis.

Nonlinear Control Theory:
Controller design for nonlinear PDEs; Nonlinear predictive control.

Reconfigurable computers:
FPGA hardware acceleration of protein identification algorithms; FPGA implementation of computationally intensive control & optimization algorithms.

Dr Dana Damian
d.damian@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

Research Interests:

We are interested in the design of soft assistive and medical robotic devices that operate in the close proximity of biological organisms and tissues long-term. We focus on the computational role of soft mechanical structures and their control to realize highly adaptive metabolic and physiological functions in living or robotic organisms. Some of our work includes robotic implants, prosthetic wearables (tactile sensors and haptic devices), and plant prostheses.

Keywords: Automatic Control and Systems Engineering,

Professor Sanja Dogramadzi
S.Dogramadzi@sheffield.ac.uk

Department of Automatic Control and Systems Engineering

Research Interests:

My research in biomedical and assistive robotics includes both basic and applied topics. In biomedical robotics this includes surgical robotics -  instrumentation, sensing and haptics for minimally invasive surgery; rehabilitation exoskeletons and intention sensing, surgical tele-operation and VR. In assistive robots this includes physically-assistive robots for assistance in dressing, sit to stand and walking and safe physical human-robot interaction. I am also interested in pattern recognition for solving complex fractures. Medical robotics applications in orthopaedic fracture surgery, minimally invasive surgery, radiology and brachytherapy.

Dr Inaki Esnaola
esnaola@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

Research interests:

My research interests include information theory and communication theory with an emphasis on application to electricity grid problems. My research focuses on understanding the fundamental limits governing systems with incomplete or mismatched system information. Today, we are seeing a growing amount of stored electronic data, and larger more diverse networks whose agents interact with limited information. However, many of the fundamental questions are still open. Tools from assorted communities such as information theory, probability theory, and random matrix theory among others, are proving useful but we are still lacking in our understanding of these systems and how to provide constructive guidelines for optimal algorithm design.

Dr Viktor Fedun
v.fedun@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

Research interests:

My research is primarily concerned with the mathematical modelling of physics of

  • solar/space plasmas;
  • sun-solar wind;
  • solar-terrestrial systems.

The study of processes occurring in such systems is crucially important for understanding the Sun, predicting Space Weather and understanding the dynamics of laboratory and technological plasmas. This includes mathematical modelling of solar magnetic flux tubes and processes that heat and maintain the coronal plasma at multi-million degree temperatures; studying fundamental plasma processes such as waves and instabilities in inhomogeneous media; determining the physical parameters of solar magnetic structures.

Dr Roderich Gross
r.gross@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering
Research interests:
  • robotics (swarm robotics, multi-robot systems, modular reconfigurable robots, autonomous robots)
  • self-organized systems (self-assembly, self-replication)
  • machine learning & natural computing (Turing Learning, swarm intelligence, evolutionary algorithms, artificial life)
  • mathematical biology (decision making)
Dr Lingzhong Guo
l.guo@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

Research interests:

  • Identification of spatio-temporal systems and partial differential equations
  • Frequency domain analysis of nonlinear infinite dimensional systems
  • Proxy measurement, surrogate modelling, and model reduction
  • Multiscale modelling of biomedical system
Professor Robert Harrison
r.f.harrison@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

Research interests:

Computational Data Modelling: neural networks; machine learning; kernel machines; support vector machines; generalised linear models; clustering; dimensionality reduction; pattern recognition; pattern classification; pattern discrimination; regression; function approximation; Bayesian analysis; Gaussian processes; system identification; Volterra series; polynomial models; NARX/NARMAX modelling; parsimony; sparsity control; covariate selection; model selection; structure detection; iterative majorization; majorize/minimize algorithms; minorize/maximize algorithms; kernel density estimation; missing/incomplete data problems; EM methods; extended Kalman filtering; unscented Kalman filtering; nonstationary random processes.

Applications: clinical decision support; identification of acute coronary syndromes; chest pain diagnosis; prediction of treatment failure and complications in diabetes sufferers; trauma prognosis; space weather forecasting; geomagnetic storm prediction; analysis of thyroid function; analysis of biological pathways; computational drug discovery; virtual screening; chronobiology; circadian rhythm analysis;  optimal therapy scheduling via non-linear optimal control; prognosis in complex technological systems e.g. gas turbine engine systems;

Dr Bryn Jones
b.l.jones@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

My research lies at the intersection of fluid mechanics and control systems theory. I am particularly interested in the control and/or estimation of fluid flows and systems operating within fluid flows. Fluid flows and the systems that they interact with are all pervasive, and so the ability to control or estimate them has profound economic and environmental benefits. Examples of past and present projects include:

  • Boundary feedback control to suppress transition to turbulence in plane channel flow.
  • Estimation of gusts within the atmospheric boundary layer for preview wind turbine control.
  • Wind turbine individual pitch control.
  • Sea surface estimation and prediction.
  • Optimal rough sea-autonomy for unmanned surface vessels.
  • Optimal sensor placement for autonomous monitoring of environmental pollutants.
  • Optimising leaf pallisade cell structure for maximum CO2 uptake.
  • Digital twinning of urban air pollution for optimal policy making.

I am interested to talk to prospective students with interest and experience of fluid mechanics and control systems theory, such as those with a general engineering or aerospace background.

Professor Visakan Kadirkamanathan
visakan@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

Research interests:

My research interests belong to the broad category of signal and information processing. My research activities are partly in the Intelligent Systems, Decision and Control related research carried out within the Rolls-Royce University Technology Centre and partly in the Centre for Signal Processing and Complex Systems. They include both theoretical and applications research, and also external collaborations with other Sheffield Departments and Industries.

The main research themes are:

  • Modelling and Identification of natural and engineered complex systems
  • Spatiotemporal system identification with applications in life, physical and social sciences
  • Fault detection, diagnosis and prognosis with application to aircraft engines
  • Intelligent systems decision support and applications in aerospace and biomedicine
  • Autonomous and self-organised swarms and agent systems
Dr Georgios Konstantopoulos
g.konstantopoulos@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

My research interests lie in the intersection of the ‘control systems’ and ‘power systems’ research areas, in particular:

  • Advanced control design of power electronic converters;
  • Nonlinear modelling and control of renewable energy systems (PV, wind power, etc.);
  • Nonlinear stability of microgrids and smart grids;
  • Control design of electrical drives and vehicles;
  • Fault ride-through control of grid-tied converters (inverters, rectifiers);
  • Conditions for stability of power networks;
  • Fundamental nonlinear control theory.
Professor Zi-Qiang Lang
z.lang@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering
Research interests:
  • Nonlinear system modeling, analysis and design in the frequency domain
  • Health monitoring and fault detection of engineering systems and structures
  • Smart structures and systems
  • Wind turbine system condition monitoring and control
  • Passive and semi-active vibration control with applications in marine, automobile, civil, and earthquake engineering
  • Development of new healthcare technologies using complex system modelling and analysis approaches
Professor Mahdi Mahfouf
m.mahfouf@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

Fundamental Research

  • Fuzzy Logic, Fuzzy Sets, and Fuzzy Systems: modelling and Control (Decision Support Systems)
  • Artificial Intelligence
  • Self-Organising Fuzzy Logic Control
  • Neural-Fuzzy Systems
  • Machine Learning & Big Data
  • Model-Based Predictive Control: Algorithms and Applications
  • Evolutionary Based Optimisation- Single and Multi-Objective

Application Areas

  • Manufacturing: Materials, Surface Metrology, & Pharmaceuticals (in collaboration with Professor A.D. Salman from the Sheffield University Department of CBE)
  • Human-Machine Interface (HMI) or Brain-Computer Interface (BCI), Operator Breakdown
  • Transportation Systems
  • Aerospace Systems
  • Biomedicine: ICU, CICU, Neonates
Professor Lyudmila Mihaylova
L.S.Mihaylova@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

Research interests:

Broad research in the areas of signal processing, Bayesian methods, Monte Carlo methods, nonlinear estimation, target tracking, sensor data fusion, control, autonomous and complex systems (e.g. image and video processing, transportation systems, large scale systems) – both at theoretical and applied level.

Professor Ivan Minev
i.minev@sheffield.ac.uk

Department of Automatic Control and Systems Engineering
Research Interests:
  • bioelectronic devices for interfacing the nervous system
  • implanted electrodes and microfluidics
  • soft materials for elastic electronics such as conductive hydrogels, composites, thin-films
  • multi-material printing technologies, direct ink writing
Dr Shuhei Miyashita
Shuhei.Miyashita@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

My research interests reside in the following areas:
- Micro and milli robotics
- Self-assembling machines and 4D printing
- Meta-material
- Ingestible biomedical robots
- Origami robots
- Living machines and origin of life

I have the following five technological aims:
- Micro/precision engineering
- Physical programmability
- Wireless operation
- Shape changing mechanism
- Distributed control

Dr John Oyekan

Personal Webpage

Department of Automatic Control and Systems Engineering

My research interests lie in the development of novel algorithms and intelligent robots using bio-inspiration and techniques in Artificial Intelligence with applications in various sectors including Manufacturing, Aerospace and Automotive. 

The aspiration of my research is to create agents and systems that are as robust, intelligent and energy efficient as biological systems. 

Theoretical themes of my research include:

  • Low computational cost and energy efficient algorithms for resource-limited agents
  • Developing models from natural and biological phenomenon for the augmentation of sensors and processes.
  • Application of bioinspiration to the development and control of robot platforms such as UAVs, UGVs and other novel robot platforms.
  • Swarm robotics for collaborative and collective sensing, transport, and mapping
  • Machine learning and Deep learning
  • Exploring collaborative strategies between human and robots during tasks
  • Morphological computation and Embodied Intelligence

Applied themes of my research include:

  • Digitization of manufacturing processes including human activities using a variety of sensors including cameras
  • Knowledge based engineering platforms for product development
  • Remote collaborative platforms enabled by gaming technologies
  • Application of machine learning to manufacturing data sets for anomaly detection and predictive maintenance
  • Digital assisted assembly
  • Embedded systems development

 

Mr Anil Ozdemir
a.ozdemir@sheffield.ac.uk
Personal Webpage

Department of Computer Science
Department of Automatic Control and Systems Engineering
School of Mathematics and Statistics
Dr Erdem Ozturk
e.ozturk@sheffield.ac.uk
Personal Webpage

Advanced Manufacturing Research Centre
Department of Mechanical Engineering
Department of Automatic Control and Systems Engineering
Professor George Panoutsos
g.panoutsos@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

My research interests lie in the broad areas of Intelligent Systems, Model-Based Decision Support and Optimisation, as well as Human-Centric Systems. Key goal in my research is to create computational paradigms that exhibit human-centric features, such as natural-language feedback, enhanced human-machine interaction and advanced cognitive behaviour.

Key theoretical themes include:

  • Data-driven modelling and optimisation
  •  Real-time model-based process monitoring and decision support
  •  Feature selection and self-learning systems
  • Novelty detection and natural language feedback
  • Granular Computing and Computing With Words

 

Applied research themes include:

Complex Manufacturing Systems (Aerospace, Automotive, Rail)

  • Model-based autonomous systems, Process Optimisation, Monitoring and Decision Support
  • Example Applications: friction-based joining processes, precision machining, laser-based welding and cladding, additive manufacturing, selective layer melting, steel making.

Bioengineering Systems (Clinical and healthcare applications)    

  • Disease forecasting
  • Clinical decision support systems
  • Example applications: Electrical Impedance Tomography, Prognosis in Spinal Fusion Surgery, and Forecasting in Bladder Cancer

           

 

 

Dr Simon Pope
s.a.pope@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering
Research interests:
  • Active and passive acoustic/elastic metamaterials (negative valued and tuneable density and/or modulus materials)
  • Active control of sound and vibration (algorithms, control of vibration in remote structures, energy redistribution in actively controlled structures)
  • Integration of next and future generation active materials into sound, vibration and fluid flow control
  • Active and passive control of electromagnetic signals (includes metamaterials)
  • Detection and removal of magnetic noise in space based scientific measurements
  • Nonlinear structures in space and planetary plasmas
Dr Giuliano Punzo


Department of Automatic Control and Systems Engineering
I am an aerospace engineer by training but, since I left the industry, I cultivated my interest in the broad area of control theory and complex systems. My current research aims at understanding complex dynamics at the interface between social and technical systems. These include the use of public services such as transportation or water systems, how these impact the demographic and the resilience of both the infrastructure and the community they serve. My research interests include network theory, control theory, consensus, complexity, swarm engineering and autonomous robotic systems. 
Professor Robin Purshouse
r.purshouse@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

Research interests:

Robin's research aims to help improve how we identify and choose between possible solutions to a problem, with a particular focus on the process of policy appraisal. There are a number of factors that make policy appraisal a challenging research area:

  • Multiple trade-offs
  • Multiple stakeholders
  • Deep uncertainty
  • Cognitive challenge
Dr Anthony Rossiter
j.a.rossiter@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

Research interests:

His technical research has predominantly been based around the area of predictive control and more specifically with a focus on modifying the basic algorithm to optimise computational efficiency and/or simplicity with minimal sacrifice to the expected performance. Currently he is looking at how the algorithm, more normally used at a high level and requiring substantial computing power and set up costs, might be effectively deployed on microprocessors and other low level implementation technologies with minimal set up costs.

Dr Mahdieh Sadat Sad Abadi
m.sadabadi@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

Dr. Sadabadi's research interests lie in control theory with applications to power systems, microgrids, and power electronic converters. More specifically,

  • Plug-and-play control in microgrids
  • Advanced control approaches for power electronic converters
  • Stability of low-inertia power systems
  • Low-order and static output feedback control of uncertain systems
  • Fixed-structure control of interconnected systems
Dr Anton Selivanov
a.selivanov@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

My research interests lie in the area of mathematical control theory. I study infinite-dimensional systems governed by partial differential equations (PDEs) and delay differential equations. My goal is to develop mathematical tools for designing controllers that guarantee the desired system behaviour in the presence of input/output delays, external disturbances, measurement noise, parameter uncertainties, and other phenomena occurring in practice.

Research interests 

  • Control and stability of partial differential equations (PDEs)
  • PDE-based analysis of multi-agent systems (robot swarms)
  • Analysis and control of traffic flows
  • Time delays and networked control systems
Dr Payam Soulatiantork
p.soulatiantork@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering
  • Industrial Automation
  • Advanced control of Power converters for renewable energy systems
  • Renewable energy real-time control and monitoring
  • Programming and developing PLCs
  • Supervisory, control and data acquisition (SCADA)
  • Digital manufacturing and virtual commissioning   
  • Industry 4.0 and Cyber Physical Lab 
Professor Ashutosh Tiwari
a.tiwari@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

Professor Ashutosh Tiwari is Airbus/RAEng Research Chair in Digitisation for Manufacturing at the University of Sheffield. The vision of his research is to develop a digitised factory that requires no setups for manufacturing part variants (zero-setup) and no measurements on parts for ensuring quality (zero-measurement). Over the last eighteen years, he has developed three novel internationally recognised research themes to achieve this vision: (i) Digitisation of skill-intensive manufacturing processes, such as wing manufacture and engine assembly. His research is one of the first to focus on simultaneous digitisation of human actions and their impact on workpieces. (ii) Multi-level optimisation of manufacturing processes. He has developed new techniques for optimising the parameters of a manufacturing process at various levels (machine, multi-machine sequence, assembly and manufacturing system). (iii) Real-time simulation of manufacturing processes. His research has introduced the use of live shopfloor data to update factory simulation models in real-time.

Dr Paul Trodden
p.trodden@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

Optimization and control

Professor Sandor Veres
s.veres@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering

Research interests:

Optimal decision making in autonomous systems, mobile robotics, agent supervised feedback control systems, architectures and programming of reasoning based intelligent agents, formation flying control of robotic vehicles, formal modelling and verification of systems by model checking, fault tolerant control systems, automated processes of data based modelling, robust adaptive control, controller tuning and system identification, satellite dynamics and control, active control of sound and vibration control.

Dr Hualiang Wei
w.hualiang@sheffield.ac.uk
Personal Webpage

Department of Automatic Control and Systems Engineering
Research interests:
  • Identification and modelling for complex nonlinear systems
    • NARMAX methodology and applications.
    • Artificial neural networks (ANN), radial basis function networks (RBFN), wavelet neural networks and multiresolution wavelet models, computational statistics, machine learning, intelligent computation and data mining.
    • Regression analysis, parameter estimation and optimization, sparse representation.
    • Nonlinear and nonstationary (time-varying) signal processing, system identification and data modelling.
    • Spatio-temporal system identification and modelling.
  • Bioscience signal processing and data modelling
    • Neurophysiology and neuro-imaging data modelling and analysis.
    • EEG, fMRI and ECG data processing, modelling and analysis.
    • Data based classification, pattern recognition, anomaly detection, with applications in clinical and medical diagnosis and prognosis.
  • Forecasting and analysis of complex stochastic dynamical processes with applications in
    • Space weather systems.
    • Environmental systems.
    • Computational economics and finance.
  • New concepts and methodologies developments for the identification and analysis of nonlinear complex systems.
  • Applications and developments of signal processing, system identification and data modelling to control engineering, bioengineering, neuroscience, systems/synthetic biology, environments, space weather and other emerging areas.