About
Contact & Profiles
Research Areas
- Thermochemical Biomass Conversion Processes
- Combustion and flame dynamics
- Bioenergy crop production and management
- Biodiesel Production and Applications
- Biofuel production and bioconversion
- Advanced Combustion Engine Technologies
- Fire dynamics and safety research
- Quantum Computing Algorithms and Architecture
- Adsorption and biosorption for pollutant removal
- Single-cell and spatial transcriptomics
- Subcritical and Supercritical Water Processes
- Lignin and Wood Chemistry
- Molecular Communication and Nanonetworks
- Coal and Its By-products
- Plant Growth Enhancement Techniques
- Algal biology and biofuel production
University of Southampton
2023
University of Leeds
2005-2011
10.1016/j.biortech.2007.11.036
article
EN
Bioresource Technology
2008-01-16
10.1016/j.fuel.2010.01.025
article
EN
Fuel
2010-02-06
10.1016/j.jaap.2008.11.004
article
EN
Journal of Analytical and Applied Pyrolysis
2008-11-15
10.1016/j.jaap.2004.11.018
article
EN
Journal of Analytical and Applied Pyrolysis
2005-02-01
10.1016/j.fuel.2009.02.037
article
EN
Fuel
2009-03-14
10.1179/014426008x370942
article
EN
Journal of the Energy Institute
2008-12-01
10.1016/j.biortech.2009.07.015
article
EN
Bioresource Technology
2009-08-06
10.1016/j.fuel.2011.06.034
article
EN
Fuel
2011-08-27
10.1016/j.fuel.2010.10.054
article
EN
Fuel
2010-11-12
Cluster analysis is a crucial stage in the and interpretation of single-cell gene expression (scRNA-seq) data. It an inherently ill-posed problem whose solutions depend heavily on hyper-parameter algorithmic choice. The popular approach K-means clustering, for example, depends choice K convergence expectation-maximization algorithm to local minima objective. Exhaustive search space multiple good quality known be complex problem. Here, we show that quantum computing offers solution exploring...
10.1093/bib/bbad377
article
EN
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Briefings in Bioinformatics
2023-09-22
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