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

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.

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.

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.

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.

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.

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

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.

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.

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

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

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

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.

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
• Adaptive control

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.

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.