Dr Trevor Langlands

Fields of Research (FoR)

• Applied Mathematics not elsewhere classified ( 010299 )
  

• Numerical and Computational Mathematics not elsewhere classified ( 010399 )
  

• Mathematical Physics not elsewhere classified ( 010599 )
  

• Atmospheric Sciences not elsewhere classified ( 040199 )
  

• Applied Mathematics not elsewhere classified ( 490199 )
  

• Mathematical Physics not elsewhere classified ( 490299 )
  

• Numerical And Computational Mathematics not elsewhere classified ( 490399 )
  

• Atmospheric Sciences not elsewhere classified ( 370199 )
  

• Mathematical Physics ( 490200 )
  

• Applied Mathematics ( 490100 )
  

• Atmospheric Sciences ( 370100 )
  

• Numerical And Computational Mathematics ( 490300 )
  

Research interests
Anomalous Subdiffusion, Fractional Calculus, Industrial Modelling

Industry affiliations
Member of the Australian Mathematical Society (AustMS)
Member of the Australia and New Zealand Industrial and Applied Mathematics (ANZIAM)

USQ Research affiliations

• Institute for Agriculture and the Environment (IAgE)
  

Currently teaching courses/programs
MAT2200 Operations Research 1
MAT3201 Operations Research 2
ENM1600 Engineering Mathematics

Teaching experience(Tertiary)
9 Years

Publications in ePrints

Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Yaseen, Zaher Mundher and Al-Ansari, Nadhir and Nguyen-Huy, ThongORCID: https://orcid.org/0000-0002-2201-6666 and Langlands, TrevorORCID: https://orcid.org/0000-0001-7679-6891 and Galligan, LindaORCID: https://orcid.org/0000-0001-8156-8690 (2020) Modern artificial intelligence model development for undergraduate student performance prediction: an investigation on engineering mathematics courses. IEEE Access, 8:9145548. pp. 136697-136724. ISSN 2169-3536

Osman, S. A and Langlands, T. A. M.ORCID: https://orcid.org/0000-0001-7679-6891 (2019) An implicit Keller Box numerical scheme for the solution of fractional subdiffusion equations. Applied Mathematics and Computation, 348. pp. 609-626. ISSN 0096-3003

Angstmann, C. N. and Donnelly, I. C. and Henry, B. I. and Langlands, T. A. M.ORCID: https://orcid.org/0000-0001-7679-6891 (2016) A mathematical model for the proliferation, accumulation and spread of pathogenic proteins along neuronal pathways with locally anomalous trapping. Mathematical Modelling of Natural Phenomena, 11 (3). pp. 142-156. ISSN 0973-5348

Angstmann, C. N. and Donnelly, I. C. and Henry, B. I. and Jacobs, B. A. and Langlands, T. A. M.ORCID: https://orcid.org/0000-0001-7679-6891 and Nichols, J. A. (2016) From stochastic processes to numerical methods: a new scheme for solving reaction subdiffusion fractional partial differential equations. Journal of Computational Physics, 307. pp. 508-534. ISSN 0021-9991

Angstmann, C. N. and Donnelly, I. C. and Henry, B. I. and Langlands, T. A. M.ORCID: https://orcid.org/0000-0001-7679-6891 and Straka, P. (2015) Generalized continuous time random walks, master equations, and fractional Fokker-Planck equations. SIAM Journal on Applied Mathematics, 75 (4). pp. 1445-1468. ISSN 0036-1399

View full listing in ePrints

Research supervisor in the area of:

• Applied Mathematics not elsewhere classified ( 010299 )
  

• Numerical and Computational Mathematics not elsewhere classified ( 010399 )
  

• Mathematical Physics not elsewhere classified ( 010599 )
  

• Atmospheric Sciences not elsewhere classified ( 040199 )
  

• Applied Mathematics not elsewhere classified ( 490199 )
  

• Mathematical Physics not elsewhere classified ( 490299 )
  

• Numerical And Computational Mathematics not elsewhere classified ( 490399 )
  

• Atmospheric Sciences not elsewhere classified ( 370199 )
  

• Mathematical Physics ( 490200 )
  

• Applied Mathematics ( 490100 )
  

• Atmospheric Sciences ( 370100 )
  

• Numerical And Computational Mathematics ( 490300 )
  

Research topics

• Predictive Inference
  

• Building statistical support tools for researchers that maximise their existing domain expertise, encourage statistical learning and continually improve reproducibility.