D. Kulasiri

发表

Using insect sniffing devices for detection.

G. Rains, J. Tomberlin, D. Kulasiri, 2008, Trends in biotechnology.

Mathematical modelling of p53 basal dynamics and DNA damage response.

Sandhya Samarasinghe, Don Kulasiri, Ket Hing Chong, 2015, Mathematical biosciences.

Global sensitivity analysis of a model related to memory formation in synapses: Model reduction based on epistemic parameter uncertainties and related issues.

S. Samarasinghe, D. Kulasiri, Jingyi Liang, 2017, Journal of theoretical biology.

Stochastic Neural Networks for Modelling Random Processes from Observed Data

S. Samarasinghe, D. Kulasiri, H. Ling, 2016 .

Neural Networks for predicting fracture toughness of individual wood samples

Sandhya Samarasinghe, Don Kulasiri, S. Samarasinghe, 2007 .

An unbiased sensitivity analysis reveals important parameters controlling periodicity of circadian clock

Sandhya Samarasinghe, Don Kulasiri, J. Qian, 2010, Biotechnology and bioengineering.

A Review of Systems Biology Perspective on Genetic Regulatory Networks with Examples

S. Samarasinghe, L. K. Nguyen, D. Kulasiri, 2008 .

Modelling of circadian rhythms in Drosophila incorporating the interlocked PER/TIM and VRI/PDP1 feedback loops.

D. Kulasiri, Z. Xie, Z Xie, 2007, Journal of theoretical biology.

A nutrient dependant switch explains mutually exclusive existence of meiosis and mitosis initiation in budding yeast.

C. T. Wannige, S. Samarasinghe, D. Kulasiri, 2014, Journal of theoretical biology.

Non-fickian Solute Transport

D. Kulasiri, 2013 .

APPLIED COMPUTING, MATHEMATICS AND STATISTICS GROUP

S. Samarasinghe, D. Kulasiri, 2002 .

Stress Intensity Factor of Wood from Crack-Tip Displacement Fields Obtained from Digital Image Processing

Sandhya Samarasinghe, Don Kulasiri, S. Samarasinghe, 2004 .

Prediction of lamb tenderness using image surface texture features

Meegalla R. Chandraratne, Sandhya Samarasinghe, Roy Bickerstaffe, 2006 .

Prediction of lamb carcass grades using features extracted from lamb chop images

Meegalla R. Chandraratne, Sandhya Samarasinghe, Roy Bickerstaffe, 2006 .

Mathematical modelling of core regulatory mechanism in p53 protein that activates apoptotic switch.

Ket Hing Chong, S. Samarasinghe, D. Kulasiri, 2019, Journal of theoretical biology.

Modelling bidirectional modulations in synaptic plasticity: A biochemical pathway model to understand the emergence of long term potentiation (LTP) and long term depression (LTD).

Sandhya Samarasinghe, Don Kulasiri, Yao He, 2016, Journal of theoretical biology.

Modelling the dynamics of CaMKII-NMDAR complex related to memory formation in synapses: the possible roles of threonine 286 autophosphorylation of CaMKII in long term potentiation.

S. Samarasinghe, D. Kulasiri, Y. He, 2015, Journal of theoretical biology.

DifFUZZY: A fuzzy spectral clustering algorithm for complex data sets

P. Maini, S. Samarasinghe, R. Erban, 2009 .

A Stochastic Model for Hydrodynamic Dispersion

D. Kulasiri, 2011 .

Simulation of solute transport in heterogeneous aquifers using stochastic partial differential equations

D. Kulasiri, 1997 .

Development of a stochastic solute transport model

D. Kulasiri, 1996 .

Non-fickian Solute Transport in Porous Media: A Mechanistic and Stochastic Theory

D. Kulasiri, 2013 .

Investigation of a parameter estimation method for contaminant transport in aquifers

Don Kulasiri, C. Rajanayaka, D. Kulasiri, 2001 .

Number 09 / 48 DifFUZZY : A fuzzy spectral clustering algorithm for complex data sets by

P. Maini, S. Samarasinghe, R. Erban, 2010 .

Robustness of CDK2 in triggering cellular senescence based on probability of DNA-damaged cells passing G1/S checkpoint

S. Samarasinghe, D. Kulasiri, H. Ling, 2011, 2011 IEEE International Conference on Systems Biology (ISB).

CDK2 and CKI targeting can significantly lower the cellular senescence bar – reveals a mathematical model of G1/S checkpoint pathway

S. Samarasinghe, D. Kulasiri, H. Ling, 2010 .

Study of fracture properties of wood using high-speed video imaging and neural networks

S. Samarasinghe, D. Kulasiri, 2002 .

Using emergent clustering methods to analyse short time series gene expression data from childhood leukemia treated with glucocorticoids

S. Samarasinghe, D. Kulasiri, 2009 .

Synthesizing Neurophysiology, Genetics, Behaviour and Learning to Produce Whole-Insect Programmable Sensors to Detect Volatile Chemicals

S. Samarasinghe, G. Rains, J. Tomberlin, 2009, Biotechnology & genetic engineering reviews.

Gene expression based computer aided diagnostic system for breast cancer: a novel biological filter for biomarker detection

S. Samarasinghe, D. Kulasiri, A. Al-Yousef, 2013 .

Distinct noise-controlling roles of multiple negative feedback mechanisms in a prokaryotic operon system.

D. Kulasiri, L. Nguyen, Lan K. Nguyen, 2011, IET systems biology.

Computational modeling and experimental validation of odor detection behaviors of classically conditioned parasitic wasp, Microplitis croceipes

S. Samarasinghe, G. Rains, D. Kulasiri, 2015, Biotechnology progress.

Milk phospholipid antioxidant activity and digestibility: Kinetics of fatty acids and choline release

D. Kulasiri, C. Brennan, Hui Zhao, 2020 .

Machine Learning for Childhood Acute Lymphoblastic Leukaemia Gene Expression Data Analysis: A Review

S. Samarasinghe, D. Kulasiri, A. Chaiboonchoe, 2010 .

Novel domain expansion methods to improve the computational efficiency of the solution of Chemical Master Equation for large biological networks.

S. Samarasinghe, D. Kulasiri, R. Kosarwal, 2020 .

Multiscale Dispersion in 2 Dimensions

D. Kulasiri, 2012 .

A Generalized Mathematical Model in One-Dimension

D. Kulasiri, 2013 .

Functional repertoire of protein kinases and phosphatases in synaptic plasticity and associated neurological disorders

S. Samarasinghe, D. Kulasiri, Raheel Khan, 2020, Neural regeneration research.

Understanding Quality of Pinot Noir Wine: Can Modelling and Machine Learning Pave the Way?

D. Kulasiri, W. Parr, P. Bhardwaj, 2022, Foods.

A Modeling and Analysis Study Reveals That CaMKII in Synaptic Plasticity Is a Dominant Affecter in CaM Systems in a T286 Phosphorylation-Dependent Manner

S. Samarasinghe, D. Kulasiri, H. Stevens-Bullmore, 2022, Molecules.

Production of Milk Phospholipid-Enriched Dairy Ingredients

D. Kulasiri, C. Brennan, M. Mohan, 2020, Foods.

A multifarious exploration of Synaptic Tagging and Capture hypothesis in synaptic plasticity: development of an integrated mathematical model and computational experiments.

S. Samarasinghe, D. Kulasiri, Raheel Khan, 2022, Journal of theoretical biology.

Phenolic Release during In Vitro Digestion of Cold and Hot Extruded Noodles Supplemented with Starch and Phenolic Extracts

D. Kulasiri, C. Brennan, B. Guo, 2022, Nutrients.

An Integrated Large Model Case Study: Solving CME for Oxidative Stress Adaptation in the Fungal Pathogen Candida Albicans

D. Kulasiri, R. Kosarwal, 2021, Chemical Master Equation for Large Biological Networks.

Milk lipid in vitro digestibility in wheat, corn and rice starch hydrogels

D. Kulasiri, C. Brennan, Hui Zhao, 2020 .

Solute dispersion in porous flow with a constant velocity gradient

W. Verwoerd, D. Kulasiri, 2002 .

A review of molecular mechanisms linked to potential renal injury agents in tropical rural farming communities.

C. T. Wannige, D. Kulasiri, S. Vidanagamachchi, 2022, Environmental toxicology and pharmacology.

Modelling Circadian Rhythms in Drosophila and Investigation of VRI and PDP1 Feedback Loops Using a New Mathematical Model

D. Kulasiri, Z. Xie, Zhi Xie, 2008 .

Systems biology of synaptic plasticity: A review on N-methyl-d-aspartate receptor mediated biochemical pathways and related mathematical models

Y. He, Sandhya Samarasinghe, Don Kulasiri, 2014, Biosyst..

Fabrication and assessment of milk phospholipid-complexed antioxidant phytosomes with vitamin C and E: A comparison with liposomes.

D. Kulasiri, C. Brennan, Hui Zhao, 2020, Food chemistry.

Proteins as fuzzy controllers: Auto tuning a biological fuzzy inference system to predict protein dynamics in complex biological networks.

S. Samarasinghe, D. Kulasiri, M. Alsharaiah, 2023, Bio Systems.

Towards Abstraction of Computational Modelling of Mammalian Cell Cycle: Model Reduction Pipeline Incorporating Multi-Level Hybrid Petri Nets.

Don Kulasiri, Sandhya Samarasinghe, Ali Abroudi, 2020, Journal of theoretical biology.

Computational experiments reveal the efficacy of targeting CDK2 and CKIs for significantly lowering cellular senescence bar for potential cancer treatment

Hong Ling, Sandhya Samarasinghe, Don Kulasiri, 2013, Biosyst..

Towards a generalized colour image segmentation for kiwifruit detection

D. Kulasiri, P. Wijethunga, S. Samarasinghe, 2009, 2009 24th International Conference Image and Vision Computing New Zealand.

A Novel Data-Driven Boolean Model for Genetic Regulatory Networks

Leshi Chen, Sandhya Samarasinghe, Don Kulasiri, 2018, Front. Physiol..

A comprehensive complex systems approach to the study and analysis of mammalian cell cycle control system in the presence of DNA damage stress.

Sandhya Samarasinghe, Don Kulasiri, Ali Abroudi, 2017, Journal of theoretical biology.

Novel recurrent neural network for modelling biological networks: Oscillatory p53 interaction dynamics

Hong Ling, Sandhya Samarasinghe, Don Kulasiri, 2013, Biosyst..

Robustness of G1/S checkpoint pathways in cell cycle regulation based on probability of DNA-damaged cells passing as healthy cells

Sandhya Samarasinghe, Hong Ling, Don Kulasiri, 2010, Biosyst..

A plant root-morphology based simulation for pl ~ t soil microbial ecosystem modelling

D. Kulasiri, T. Brown, R. Gaunt, 2008 .

A root-morphology based simulation for plant/soil microbial ecosystem modelling

Don Kulasiri, R. E. Gaunt, D. Kulasiri, 1997 .

Ca2+ dysregulation in the endoplasmic reticulum related to Alzheimer's disease: A review on experimental progress and computational modeling

Sandhya Samarasinghe, Jingyi Liang, Don Kulasiri, 2015, Biosyst..

A new hierarchical approach to multi-level model abstraction for simplifying ODE models of biological networks and a case study: The G1/S Checkpoint/DNA damage signalling pathways of mammalian cell cycle

Sandhya Samarasinghe, Don Kulasiri, Mutaz Khazaaleh, 2021, Biosyst..

A Large Model Case Study: Solving CME for G1/S Checkpoint Involving the DNA-Damage Signal Transduction Pathway

D. Kulasiri, R. Kosarwal, 2021, Chemical Master Equation for Large Biological Networks.

Efficacy of near infrared spectroscopy to segregate raw milk from individual cows between herds for product innovation and traceability

D. Kulasiri, G. Edwards, Long Cheng, 2020 .

A machine learning application in wine quality prediction

D. Kulasiri, W. Parr, P. Bhardwaj, 2022, Machine Learning with Applications.

Novel domain expansion methods to improve the computational efficiency of the Chemical Master Equation solution for large biological networks

Sandhya Samarasinghe, Don Kulasiri, Rahul Kosarwal, 2020, BMC Bioinform..

Vesicle properties and health benefits of milk phospholipids: a review

H Zhao, D. Kulasiri, C. Brennan, 2019, Journal of Food Bioactives.

On Multiple Regulatory Mechanisms in the Tryptophan Operon System in Escherichia coli: In silico Study of Perturbation Dynamics

Lan K. Nguyen, Don Kulasiri, D. Kulasiri, 2008, Silico Biol..

The effects of fungal lipase-treated milk lipids on bread making

D. Kulasiri, C. Brennan, Hui Zhao, 2020, LWT.

Introduction

D. Kulasiri, R. Kosarwal, 2021, Chemical Master Equation for Large Biological Networks.

The meiotic-mitotic initiation switch in budding yeast maintains its function robustly against sensitive parameter perturbations

Sandhya Samarasinghe, Don Kulasiri, C. T. Wannige, 2014, Biosyst..

Alleviating the unwanted effects of oxidative stress on Aβ clearance: a review of related concepts and strategies for the development of computational modelling

S. Samarasinghe, D. Kulasiri, Sarawoot Somin, 2023, Translational Neurodegeneration.

On the functional diversity of dynamical behaviour in genetic and metabolic feedback systems

Lan K. Nguyen, Don Kulasiri, D. Kulasiri, 2009, BMC Systems Biology.

Development of a behavior parameter in classically conditioned parasitic wasps that detect changes in odor intensity

G. Rains, D. Kulasiri, Zhongkun Zhou, 2012 .

Modelling heat and mass transfer in drying of biological materials: a simplified approach to materials with small dimensions

S. Samarasinghe, D. Kulasiri, 1996 .

On modelling the drying of porous materials: analytical solutions to coupled partial differential equations governing heat and moisture transfer

I. Woodhead, D. Kulasiri, 2005 .

Validating models of complex, stochastic, biological systems

Don Kulasiri, T. N. Brown, D. Kulasiri, 1996 .

Classification of lamb carcass using machine vision: Comparison of statistical and neural network analyses

Meegalla R. Chandraratne, Sandhya Samarasinghe, Don Kulasiri, 2007 .

Lamb carcass classification system based on computer vision. Part 1, Texture features and discriminant analysis

Meegalla R. Chandraratne, Sandhya Samarasinghe, Roy Bickerstaffe, 2003 .

Integrated signaling pathway and gene expression regulatory model to dissect dynamics of Escherichia coli challenged mammary epithelial cells

Lan K. Nguyen, Don Kulasiri, Nicoline Y. den Breems, 2014, Biosyst..

Stochastic Dynamics. Modeling Solute Transport in Porous Media

Don Kulasiri, Wynand S. Verwoerd, W. Verwoerd, 2002 .

Simulating the stress-strain curves of woollen yarns

D. Kulasiri, B. Cassidy, 1997 .

A Review and Challenges in Chemical Master Equation

Don Kulasiri, Rahul Kosarwal, D. Kulasiri, 2021, Chemical Master Equation for Large Biological Networks.

Computational Modelling of Multi-scale Solute Dispersion in Porous Media - An Approach Based on Stochastic Calculus

Don Kulasiri, D. Kulasiri, 2011 .

Computational investigation of Amyloid-β-induced location- and subunit-specific disturbances of NMDAR at hippocampal dendritic spine in Alzheimer’s disease

S. Samarasinghe, D. Kulasiri, Jingyi Liang, 2017, PloS one.

Detection of Early Core Browning in Pears Based on Statistical Features in Vibro-Acoustic Signals

D. Kulasiri, Hui Zhang, Jie Wu, 2021, Food and Bioprocess Technology.

DifFUZZY: a fuzzy clustering algorithm for complex datasets

Sijia Liu, Radek Erban, Sandhya Samarasinghe, 2010, CI 2010.

Optimization Approaches for a Complex Dairy Farm Simulation Model

Dishi Liu, Jagannath Aryal, Don Kulasiri, 2008 .

Fracture toughness of wood based on experimental near-tip displacement fields and orthotropic theory

S. Samarasinghe, D. Kulasiri, 1999 .

Auction theory: bidder’s perspective in an English auction environment

J. Aryal, D. Kulasiri, G. Carnaby, 2007 .

Theory : Bidder ’ s Perspective in a Public OutCry English Auction

J. Aryal, D. Kulasiri, G. Carnaby, 2008 .

A mathematical model of synaptotagmin 7 revealing functional importance of short-term synaptic plasticity

D. Kulasiri, Jingyi Liang, Yao He, 2019, Neural regeneration research.

Simulation of Pinus Radiata Root System Structure for Ecosystem Management Applications

Don Kulasiri, T. N. Brown, D. Kulasiri, 1994, Simul..

The estimation of parameters for stochastic differential equations using neural networks

Zhi Xie, Sandhya Samarasinghe, Don Kulasiri, 2007 .

Modeling protein-protein interactions in axon initial segment to understand their potential impact on action potential initiation

S. Samarasinghe, D. Kulasiri, P. Bhardwaj, 2020, Neural regeneration research.

What can computational modeling offer for studying the Ca2+ dysregulation in Alzheimer's disease: current research and future directions

D. Kulasiri, Jingyi Liang, 2018, Neural regeneration research.

Stochastic simulation of solar radiation from sunshine duration in Sri Lanka

D. Kulasiri, B. Punyawardena, Alan McKinnon, 1996 .

A Simple Affymetrix Ratio-transformation Method Yields Comparable Expression Level Quantifications with cDNA Data

Sandhya Samarasinghe, Don Kulasiri, Chintanu Kumar Sarmah, 2010 .

Detection of Alzheimer’s disease onset using MRI and PET neuroimaging: longitudinal data analysis and machine learning

S. Samarasinghe, D. Kulasiri, Iroshan Aberathne, 2023, Neural regeneration research.

Visualizing Markov Process Through Graphs and Trees

Don Kulasiri, Rahul Kosarwal, D. Kulasiri, 2021, Chemical Master Equation for Large Biological Networks.

Integrated Analysis of Gene Network in Childhood Leukemia from Microarray and Pathway Databases

S. Samarasinghe, D. Kulasiri, A. Chaiboonchoe, 2014, BioMed research international.

Spatial interpolation of rainfall in the dry zone of Sri Lanka

D. Kulasiri, B. Punyawardena, 1998 .

Methodology for development of single cell dendritic spine (SCDS) synaptic tagging and capture model using Virtual Cell (VCell)

S. Samarasinghe, D. Kulasiri, Raheel Khan, 2023, MethodsX.

Complexation of starch and phenolic compounds during food processing and impacts on the release of phenolic compounds.

D. Kulasiri, Sushil Dhital, C. Brennan, 2023, Comprehensive reviews in food science and food safety.

Study of Mode-I and Mixed-Mode fracture in wood using digital image correlation method

S. Samarasinghe, D. Kulasiri, Kelvin Nicolle, 1996 .

COMPUTATIONAL MODELING OF TURBULENT VELOCITY STRUCTURES FOR AN OPEN CHANNEL FLOW USING KARHUNEN-LOEXPANSION

D. Kulasiri, R. J. Connell, J. Lennon, 2007 .

Robustness of circadian rhythms in the presence of molecular fluctuations: An investigation based on a mechanistic, statistical theory and a simulation algorithm

Y. He, Sandhya Samarasinghe, Don Kulasiri, 2011, Biosyst..

Modelling bidirectional modulations in synaptic plasticity: A biochemical pathway model to understand the emergence of long term potentiation (LTP) and long term depression (LTD).

S. Samarasinghe, D. Kulasiri, Yao He, 2016, Journal of theoretical biology.

ON EXPLORING EFFECTS OF MOLECULAR NOISE IN A SIMPLE VIRAL INFECTION MODEL

D. Kulasiri, Zhi Xie, 2010 .

Computational modeling and experimental validation of odor detection behaviors of classically conditioned parasitic wasp, Microplitis croceipes

S. Samarasinghe, G. Rains, D. Kulasiri, 2015, Biotechnology progress.

Pseudo-3-D moment method for rapid calculation of electric field distribution in a low-loss inhomogeneous dielectric

Ian Woodhead, Don Kulasiri, I. Woodhead, 2001 .

Theory of diffusions applied to stochastic flo \ rv in porous media * vVynand s

W. Verwoerd, D. Kulasiri, 2008 .

Theory of Diiusions Applied to Stochastic Ow in Porous Media

W. Verwoerd, D. Kulasiri, 2007 .

A Comparative Study of Parameter Estimation in Hydrology Modelling : Artificial Neural Networks and Curve Fitting Approaches

C. Rajanayaka, D. Kulasiri, S. Samarasinghe, 2003 .