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:

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,

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.

• 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)

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;

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

• 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

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.

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

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.