International journal of Nano Scientific Networks and Nanotechnology (IJNN) is a multidisciplinary, peer reviewed journal which includes all the major fields in nanotechnology and Nano science. Nanoscience and nanotechnology brought up an unprecedented excitement in the scientific and engineering communities, especially the last decade. It is the engineering of functional systems at the molecular scale. This covers both current work and concepts that are more advanced.  International journal of Nano Scientific Networks and Nanotechnology   publishes original research papers during a broad area of nanoscience & engineering. IJNN provides an ideal forum for presenting original reports of theoretical and experimental nanoscience and nanotechnology research. Nanotechnology is a gathering of rising innovations in which the structure of matter is controlled at the nanometer scale, the size of little quantities of molecules, to create novel materials and gadgets that have valuable and one of kind properties. IJNN is naturally multidisciplinary, and welcomes submissions across biological, physical, engineering, and computer sciences. Contributions from both academia and industry are equally encouraged. IJNN also publishes innovative techniques and instrumentation for the fabrication, characterization and testing of nano-enabled devices and technologies, as well as advanced modelling and simulation methods.


committee

Members

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Eddie Y.K. NG

Associate Professor

Dr. Eddie Ng obtained a B.Eng (CL I) from Uni. of Newcastle upon Tyne; Ph.D at Cambridge Univ. with a Cambridge Commonwealth Scholarship; PG Diploma in Teaching Higher Edu., NIE-NTU. He is the Editor-in-Chief for the ISI Journal of Mechanics in Medicine and Biology for dissemination of original research in all fields of mechanics in medicine and biology since 2000; He is the Founding Editor-in-Chief for the ISI indexed Journal of Medical Imaging and Health Informatics; and associate editor of eight referred international journals. His main area of research is human physiology, biomedical engg; computational fluid dynamics and numerical heat transfer. Ng has had more than 269 ISI journal articles and 87 conference papers and 12+2 books published including “Compressor Instability with Integral Methods” by Springer (2007); “Cardiac Pumping and Perfusion Engineering” by WSPC Press (2007); “Imaging and Modelling of Human Eye” by Artech House (2008); “Distributed Diagnosis and Home Healthcare, D2H2 v.1 and 3” by ASP (2009, 2012); “Performance Evaluation in Breast Imaging, Tumor Detection & Analysis” by ASP (2010); “Computational Analysis of Human eye with Applications” by WSPC (2011); “Multimodality Breast Cancer Imaging” by SPIE (2013); “Human eye imaging and modeling,” “Image Analysis and Modeling in Ophthalmology,” “Ophthalmology Imaging and Applications” by CRC (2013, 2014), “Bio-inspired Surfaces and Applications” by WSPC (2016); “Computation and Mathematical Methods in Cardiovascular Physiology” by WSPC (2017, in-press)and “Application of Infrared to Biomedical Sciences” by Springer (2016, in-press). He is an invited keynotes speaker for more than 15 international scientific confs./workshops. 15 of his papers have been adopted as references in Singapore Standard (SS 582: 2013) and ISO/IEC 80601-2-59: 2008. He is also presently serving as panel member for the Biomedical Standards Committee, Singapore. The affable adjunct NUH scientist has a special interest in infrared (IR) physics & technology and has contributed greatly to research on IR imaging, in particular on application of IR to biomedical sciences. The co-inventor of three USA patents on multiple analytical software classifier programs to identify the different stages of breast cancer development using thermal data with Lifeline’s First WarningTM(Cyrcadia Health, Inc.) system, he further explores the use of IR in the field of ophthalmology for early detection of health abnormality.

  • PGDipTHE Nanyang Technological University 1995
  • PhD University of Cambridge 1992
  • BEng(Hons) University of Newcastle Upon Tyne 1988
  • EYK Ng, (2009), A Review of Thermography as Promising Non-invasive Detection Modality for Breast Tumour, International Journal of Thermal Sciences, 48(5), 849-855.
  • JH Tan, EYK Ng, R Acharya U, (2010), Evaluation of Tear Evaporation from Ocular Surface by Functional Infrared Thermography, Medical Physics, 37(11): 6022-6034.
  • S Pang, EYK Ng, WS Chiu, (2013), Comparison of Turbulence Models in Near Wake of Transport Plane C-130H Fuselage, AIAA Journal of Aircraft, Vol. 50(3): 847-852.
  • M Jamil, EYK Ng, (2013), Evaluation of Meshless Radial Basis Collocation Method for Heterogeneous Conduction and Simulation of Temperature Inside the Biological Tissues, International Journal of Thermal Sciences, 68: 42-52.
  • M Jamil, EYK Ng, (2013), Ranking of Parameters in Bioheat Transfer for Electromagnetic Heating Using Taguchi Analysis, International Journal of Thermal Sciences, 63: 15-21.
  • M Jamil, EYK Ng, (2013), To optimize the Efficacy of Bioheat Transfer in Electrode Based Thermal Therapy: A Physical Perspective, International Journal of Thermal Biology, 38: 272-279.
  • JH Tan, EYK Ng, R Acharya U, (2013), The effect of tear film on ocular surface temperature: a thermodynamic study, ASME Journal of Heat Transfer, 135(5): 054505.
  • M Jamil, EYK Ng, (2013), Statistical Modeling of Electrode Based Thermal Therapy with Taguchi Based Multiple Regression, International Journal of Thermal Sciences, 71: 283-291.
  • KC Ng, EYK Ng, (2013), Effects of Baffling, Shaft Eccentricity and Angularly-Oscillating on the Laminar Mixing in a Cylindrical Vessel, Chemical Engineering Science, 104: 960–974.
  • EYK Ng, M. Jamil, (2014), Parametric sensitivity analysis of radiofrequency ablation with efficient experimental design: Combined effects of parameters and implications for various tissues, International Journal of Thermal Sciences, 80: 41-47.
  • Khalafvand & Ng et al, “Three-dimensional diastolic blood flow in the left ventricle”, Journal of Biomechanics, Vol. 50, No: 1, (2017), Pp. 71–76.
  • Koh & Ng, et al, “Automated detection of retinal health using PHOG and SURF features extracted from Fundus images”, Applied Intelligence, Springer, (2017), in-press