The list below shows Cambridge based academic researchers and supervisors involved in the Agriforwards CDT.
If you are Cambridge academic and would like to join the Agriforwards CDT supervisor team, please email us for the Supervisor application form.
Department of Engineering
| Supervisor | Research Interests |
| Predictive Data Analytics and Machine Learning in Manufacturing. Development of automated and scalable optimisation and distributed decision making technologies. Identification of emergent patterns in manufacturing and industrial systems | |
| Prof Simone Hochgreb |
Professor Simone Hochgreb is interested in energy, fluid mechanics and reacting flows, and the development and application of spectroscopic and other experimental methods for understanding the transport of fluids. Possible projects are in the area of understanding the transport of air, energy, nutrients and products in agriculture in confined or open environments, and the application of sensing techniques for the determination of velocities and species that influence plant growth. |
| Prof Fulvio Forni | Differential methods for system analysis (oscillators, multistable systems). Nonlinear control and hybrid control (electro-mechanical systems, systems with saturations, robotics) |
| Prof Fumiya Iida | Robotics, Mechatronics, Machine Intelligence, Soft Robotics, Human-robot interactions, Embodies artificial intelligence |
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Additive manufacturing and biomimetic material design for sensors and optoelectronic devices (ultraminiaturised spectrometers, and photodetectors), classification algorithms for sensor performance optimisation. 0D, 2D and 0D-2D nanomaterial synthesis for sensor systems
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Current research concerns urban-scale energy simulation of built environments, with specific emphasis on uncertainty analysis and retrofits of existing buildings. The work investigates how simulation science can support pathways towards energy efficient cities, taking into account large variability among buildings, and a highly dynamic context associated with economics, regulations, and the influence of new emerging technologies. |
| Prof Joan Lasenby | 3D reconstruction (multiple RGB camera, depth cameras); point cloud analysis (registration, object recognition); geometric algebra (computer vision, graphics, CAD); image and video processing for medical applications; machine learning) |
| Prof George Malliaras | Main research interest is Bioelectronics. Research themes include the design and validation of implantable and cutaneous devices to interface with the brain, with the aim of understanding and treating neurological disorders and brain cancer. They also include the realisation of electronic devices and circuits that mimic some of the computational features of the brain. The group is also interested in the fundamental phenomena governing the operation of bioelectronic devices. |
| Dr Letizia Mortara |
Technological Decision-Making in response to fast-changing contexts. Managing and exploiting Emerging Technologies, Technology Intelligence, Open Innovation, Business Model Innovation |
| Dr Mukesh Kumar | Understanding of Industrial chain resilience and sustainability. Issues of food supply chains linked with food security. Differences between emerging and mature industrial systems. Distributed Manufacturing |
| Prof Roberto Cipolla | Computer vision. Robotics. Computer vision for human-computer interaction. Visually guided robotics. Applications of computer vision. |
| Dr Sebastian Pattinson | Additive manufacturing, computational design, nano- to the macro-scale enhanced function materials |
| Dr Thomas Bohné | Intersection of human capacity and technology to create solutions that can make a significant contribution towards a better future |
| Prof Tim Minshall | Open innovation, digital manufacturing, manufacturing skills |
| Dr Somenath Bakshi |
Design and optimization of synthetic genetic circuits, analyzing antibiotic resistance and persistence, dissecting microbial interaction at single-cell level, developing quantitative biophysical methods: High-throughput time-lapse microscopy, Single molecule imaging, Image analysis, and Microfluidic methods |
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Emerging technology areas for the post-CMOS roadmap, smart systems heterogeneous integration, polymer and printed electronics, advanced bio-systems and molecular diagnostics, advanced signal processing and nonlinear computation, advanced mechanical, optical and chemical sensor technologies, with focus on miniaturization and advanced packaging technologies for smart devices and products. Dr Occhipinti's current position is Director of Research in Graphene and Related Technologies and he serves as Deputy Director and Chief Operating Officer of the Cambridge Graphene Centre. |
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| Dr John Dudley | Research focusses on the design of interactive systems that dynamically adapt to user needs and behaviours. I am particularly interested in the design of user interfaces for productive and enjoyable applications of virtual and augmented reality, with a special focus on supporting efficient text input. |
Department of Computer Science and Technology
| Supervisor | Research Interests |
| Prof Amanda Prorok | Algorithms for coordinating systems composed of multiple autonomous robots. This research brings in methods from planning, control, estimation, and learning, and has numerous applications, including automated transport and logistics, environmental monitoring, surveillance, and search. |
| Prof Cengiz Oztireli | Computer graphics, vision, and machine learning/artificial intelligence |
| Prof Hatice Gunes | Artificial Emotional Intelligence, Affective Computing, Human-like Computing, Personality Computing, Social Signal Processing, Human Behaviour Understanding, Social Robotics, Human-Robot Interaction, Intelligent User Interfaces, Human Sensing in Virtual Reality, Assistive Technologies. |
| Prof Rafał Mantiuk | Applied visual perception; high dynamic range imaging; display algorithms; machine learning for image synthesis; tone-mapping; video coding for new display technologies; image and video quality metrics; visibility metrics; virtual reality and low-level perception; computational photography; computational displays; novel display technologies; colour; perception in computer graphics; novel image and video representations (beyond 2D); psychophysics; modeling visual perception with machine learning. |
Department of Plant Sciences and Sainsbury Laboratory
| Supervisor | Research Interests |
| Dr Julia Davies | Plasma membrane (PM) calcium channels involved in root signal transduction, nutrition and growth |
| Dr Nik Cunniffe | Mathematical modelling of the spread, detection, evolution and control of plant and tree diseases |
| Dr Alexander Jones | Alexander Jones' research group at the Sainsbury Laboratory, Cambridge University investigates how plant hormones serve as signal integrators and master regulators of physiology and development. In multicellular organisms, these functions are crucial for the coordination of the activities of individual cells – each having an independently tuneable hormone level and hormone response – into an ensemble behaviour appropriate for the organism as a whole. Their recent advent of ABACUS and GPS biosensors permits analysis of ABA and GA levels with cellular resolution and we are now observing hormone patterns that were previously unknown. We also continue to develop new technologies for high-resolution sensing and perturbation of plant hormones in vivo. |
| The overarching theme of Sebastian's research is to combine genomics and molecular biology to understand fundamental questions in host:parasite biology. The Plant-Parasite/Pathogen Interactions Group group primarily focus on plant-parasitic nematodes because: i) they are a threat to food security in developed and developing countries, and ii) underlying this threat is a wealth of fascinating biology that until very recently has been largely unexplorable. |
Department of Chemistry
| Dr Jenny Zhang | Semi-artificial photosynthesis, (photo)electrochemistry, chemical biology, materials chemistry, 3D-printing, biofilm chemistry |
