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Research Areas 1/29 Mathematical modeling in nanotechnology Works - PowerPoint PPT Presentation

Research Areas 1/29 Mathematical modeling in nanotechnology Works focused on the energy and force distribution between both organic and inorganic molecules To understand the energy Assoc. Prof. Duangkamon behaviors at a molecular


  1. Research Areas 1/29

  2. Mathematical modeling in nanotechnology • Works focused on the energy and force distribution between both organic and inorganic molecules • To understand the energy Assoc. Prof. Duangkamon behaviors at a molecular Baowan level 2/29

  3. Mathematical modeling of interaction energies between nanoscale objects 3/29

  4. Mathematical modeling and simulation in medical science and agriculture • Signal transduction process • Biological controls of insect pests of Thailand’s economic crops Assoc. Prof. Chontita Ratanakul 4/29

  5. Signal transduction process 1 • Signal transduction process in living cells and osteoporosis • Theoretical and numerical approaches 5/29

  6. Signal transduction process 2 6/29

  7. Biological controls of insect pests 1 • Biological controls of insect pests of Thailand’s economic crops • System of difference, differential equations, Cellular Automata model and Monte Carlo simulation 7/29

  8. Biological controls of insect pests 2 8/29

  9. Biological controls of insect pests 3 9/29

  10. Mathematical modeling of infectious diseases • Dynamics of malaria, antibiotic-resistant bacteria, influenza, and livestock diseases • Vaccination, host movements, seasonality, and population dynamics Asst. Prof. Farida Chamchod 10/29

  11. A modeling approach to investigate epizootic outbreaks and enzootic maintenance of rift valley fever virus 11/29

  12. 12/29

  13. Mathematical models in biology • Ecology, Environment and Evolution • Dynamical systems Asst. Prof. Kornkanok Bunwong 13/29

  14. A bifurcation path to chaos in a time-delay fisheries predator–prey model with prey consumption by immature and mature predators 14/29

  15. Mathematical modeling of complex systems • Develop mathematical models in glucose absorption process. • Qualitative analyses of nonlinear systems are main tools. Asst. Prof. Pairote Satiracoo 15/29

  16. Computational Mathematics • Blood Flow Simulation Asst. Prof. Somkid Amornsamankul 16/29

  17. Computational fluid dynamics Asst. Prof. Wannika Dr. Nathnarong Sawangthong Khajohnsaksumeth • Numerical simulation of three-dimension fluid flow in cemented hip replacement • Numerical simulation of three-dimension fluid flow in coronary artery 17/29

  18. Numerical simulation for efficient static mixers with different geometries 18/29

  19. High performance computing • Firespread model • Thrombus formation process at medical devices in blood flows • Efficient numerical Asst. Prof. Pallop techniques for solving Huabsomboon integral equations 19/29

  20. The simulation of the movement of three oil slicks from the difgerent drilling rigs on 4 January 2019, the storm cyclone (Pabuk) day. 100E 7N 9N 11N Longitude Latitude 4-6 hours later 98E 102E 104E 104E 5N 7N 9N 11N Longitude Latitude 4-10 hours later 5N 102E 9N 98E 98E Bongkot South Pathong Benchamas At the incidents of oil slicks Latitude Longitude 11N 100E 7N 5N 104E 102E 100E Oil spill prediction • WAM model Dr. Kittisak Chanyatrakom 20/29

  21. Coding theory • The study of how information can be transmitted efficiently and reliably • Low-density parity- check (LDPC) codes Asst. Prof. Wittawat Kositwattanarerk 21/29

  22. Applied functional analysis in modeling in Physics, distribution theory Dr. Somsak Orankitjaroen • Mathematical modeling of fiber reinforced structures by homogenization • Mathematical modeling of a thin plate by reduction of dimension process 22/29

  23. Operations Research Dr. Rawee Dr. Wasin Dr. Wasakorn Suwandechochai Padungwech Laesanklang 23/29

  24. Route optimization for large-scale real-world problems • vehicle routing optimization with multiple constraints • exact methods and heuristic methods 24/29

  25. Efficient algorithms for computationally expensive black-box optimization problems • response surface models • Gaussian Process (GP) models for large-scale Dr. Tipaluck Krityakierne problems 25/29

  26. Graph Theory • Graph theory to problems in traffic control Dr. Chanun Lewchalermvong 26/29

  27. Rings and modules Dr. Nguyen Van Sanh 27/29

  28. Approximation theory, potential theory • Polynomial and Rational Interpolation and Approximation • Padé Approximants • Orthogonal Polynomials Asst. Prof. Nattapong • Minimal Energy and Riesz Bosuwan Polarization Problems 28/29

  29. Differential geometry, computational mathematics, group theory and theory of formal languages • Surface theory in Thurston geometries • Isogeometric analysis • Cayley automatic groups Dr. Dmitry Berdinsky 29/29

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