SA
Senthil Kumar Arumugasamy
University of Nottingham Malaysia Campus, Universiti Sains Malaysia Kampus Kejuruteraan, S.R.M. Institute of Science and technology
Research areas: Energy · Fuel Technology · Thermochemical Biomass Conversion Processes · biodegradable polymer synthesis and properties · Neural Networks and Applications
0000-0002-8169-3624
Employment
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University of Nottingham Malaysia Campus Assistant Professor2014 - Present
Education
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Universiti Sains Malaysia Kampus Kejuruteraan PhD2008 - 2014
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S.R.M. Institute of Science and technology M.Tech2003 - 2005
Projects & Funding
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Enzyme Catalyzed Ring Opening Polymerization of e-Caprolactone for the synthesis of polyester Universiti Sains Malaysia2009 - 2010
Publications (31)
- Paddy straw as a biomass feedstock for the manufacturing of bioethanol using acid hydrolysis and parametric optimization through response surface methodology and an artificial neural network Save
- Usage of Biomass Gasifier for Drying Soaked Paddy in a Reversible Airflow Flatbed Dryer: Artificial Neural Network Modelling Save
- Water Level Forecasting Using Artificial Neural Network (Ann): A Case Study of Semenyih River, Malaysia Save
- Prediction of Polycaprolactone Molecular Weight Synthesized via Enzymatic Polymerization Process: Comparing Training Algorithms of Artificial Neural Network Modeling Save
- Dynamic simulation of airborne pollutant concentrations associated with the effect of climate change in Batu Muda region, Malaysia Save
- Modelling of adsorption of anionic azo dye using Strychnos potatorum Linn seeds (SPS) from aqueous solution with artificial neural network (ANN) Save
- Comparison between Artificial Neural Networks and Support Vector Machine Modeling for Polycaprolactone Synthesis via Enzyme Catalyzed Polymerization Save
- An experimental and modelling approach to produce biochar from banana peels through pyrolysis as potential renewable energy resources Save
- Rambutan (Nephelium lappaceum) seeds for the treatment of Palm Oil Mill Effluent (POME) and its Feedforward Artificial Neural Network (FANN) modeling Save
- Artificial Neural Network (ANN) Modelling of Palm Oil Mill Effluent (POME) Treatment with Natural Bio-coagulants Save
- Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) pe… Save
- Fenugreek seeds and okra for the treatment of palm oil mill effluent (POME) – Characterization studies and modeling with backpropagation feedforward neural network (BFNN) Save
- Comparison of response surface methodology and feedforward neural network modeling for polycaprolactone synthesis using enzymatic polymerization Save
- Development of a computational predictive model for the nonlinear in-plane compressive response of sandwich panels with bio-foam Save
- Optimization and modelling of enzymatic polymerization of ε-caprolactone to polycaprolactone using Candida Antartica Lipase B with response surface methodology and artificial neural network Save
- Performance comparison of feedforward neural network training algorithms in modeling for synthesis of polycaprolactone via biopolymerization Save
- Development of polyhydroxyalkanoates production from waste feedstocks and applications Save
- Optimisation of process parameters using D-optimal for enzymatic synthesis of polycaprolactone Save
- Parametric optimization of polycaprolactone synthesis catalysed by Candida antarctica lipase B using response surface methodology Save
- Statistical design of experimental and bootstrap neural network modelling approach for thermoseparating aqueous two-phase extraction of polyhydroxyalkanoates Save