What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Electrical engineering
- Robot
Chris Melhuish focuses on Microbial fuel cell, Robot, Artificial intelligence, Chemical engineering and Waste management.
His Microbial fuel cell study incorporates themes from Wastewater and Pulp and paper industry.
He has researched Robot in several fields, including Object, Swarm behaviour, Simulation and EcoBot.
His Artificial intelligence research incorporates elements of Sorting, Computer vision and Set.
His research in Chemical engineering intersects with topics in Cathode and Redox.
His Waste management research incorporates themes from Energy and Ceramic.
His most cited work include:
- Stigmergy, self-organization, and sorting in collective robotics (365 citations)
- Microbial fuel cells based on carbon veil electrodes: Stack configuration and scalability (227 citations)
- Comparative study of three types of microbial fuel cell (214 citations)
What are the main themes of his work throughout his whole career to date?
Chris Melhuish mostly deals with Artificial intelligence, Robot, Microbial fuel cell, Robotics and Simulation.
The concepts of his Artificial intelligence study are interwoven with issues in Sorting and Computer vision.
His Robot study combines topics from a wide range of disciplines, such as Control engineering, Control theory and Actuator.
His biological study spans a wide range of topics, including Cathode, Waste management and Chemical engineering.
Robotics and Systems engineering are frequently intertwined in his study.
Chris Melhuish has researched Human–robot interaction in several fields, including Gesture and Human–computer interaction.
He most often published in these fields:
- Artificial intelligence (38.15%)
- Robot (33.73%)
- Microbial fuel cell (20.08%)
What were the highlights of his more recent work (between 2013-2020)?
- Microbial fuel cell (20.08%)
- Simulation (19.68%)
- Robot (33.73%)
In recent papers he was focusing on the following fields of study:
Chris Melhuish mainly focuses on Microbial fuel cell, Simulation, Robot, Chemical engineering and Cathode.
His research in Microbial fuel cell intersects with topics in Wastewater, Waste management and Pulp and paper industry.
His Simulation research includes themes of Control theory, Teleoperation and Artificial intelligence, Cellular automaton.
Chris Melhuish regularly ties together related areas like Engineering management in his Artificial intelligence studies.
Chris Melhuish works in the field of Robot, focusing on Human–robot interaction in particular.
His study in Chemical engineering is interdisciplinary in nature, drawing from both Layer, Membrane electrode assembly, Raw material and Power output.
Between 2013 and 2020, his most popular works were:
- Self-sustainable electricity production from algae grown in a microbial fuel cell system (92 citations)
- Simultaneous electricity generation and microbially-assisted electrosynthesis in ceramic MFCs. (79 citations)
- Electricity generation and struvite recovery from human urine using microbial fuel cells (55 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Electrical engineering
- Robotics
Chris Melhuish mainly investigates Microbial fuel cell, Chemical engineering, Cathode, Anode and Wastewater.
Microbial fuel cell and Stack are two areas of study in which Chris Melhuish engages in interdisciplinary work.
His Chemical engineering research is multidisciplinary, incorporating elements of Biosensor and Reliability.
His work carried out in the field of Cathode brings together such families of science as DC motor, Ceramic and Energy harvesting.
His biological study deals with issues like Electrochemistry, which deal with fields such as Chemical industry and Sludge.
The Wastewater study combines topics in areas such as Waste treatment and Effluent.
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