Dr Mohammad Khoshnevisan

B Arts (Mathematics), M Commerce, PhD

Senior Lecturer, Griffith Business School

Contact details for Dr Mohammad Khoshnevisan

Research expertise

  • Computational Finance
  • Applications of Optimal Control, Information fusion, Artificial Intelligence and Neurooptic Logic in Financial Engineering
  • Applications of Artificial Intelligence in PET/CT cancer research
  • Applications of Artificial Intelligence in missile guidance-NASA paper
  • Computational Finance - Stiff Non-Linear Differential Equations

Current teaching areas

  • Management of Financial Institutions
  • Empirical Finance Honours
  • International Corporate Finance
  • Financial Markets and Instruments

Publications

Refereed journal articles

  • Khoshnevisan, M. and Smarandache, F. (forthcoming) Fuzzy Logic, Neutrosophic Logic, and Applications, BISC Journal, University of California-Berkeley, USA.
  • Khoshnevisan, M. and Bhattacharya, S. (forthcoming) A Proposed Fuzzy Optimal Control Model to Minimize Target Tracking Error in a Dynamic Hedging Problem with a Multi-Asset, Best-of Option, BISC Journal, University of California-Berkeley, USA,.
  • Khoshnevisan, M. and Nahavandi, S. (forthcoming) An Evolutionary Computing Approach to Minimize Dynamic Hedging Error, BISC Journal, University of California-Berkeley, USA.
  • Khoshnevisan, M., Singh, H.P., Singh, S. and Smarandache, F. (2003) A Family of Estimations of Population Mean Using Multiauxiliary Information in Presence of Measurement Errors, International Journal of Social Economics, USA, vol 30, pp. 837-849.
  • Khoshnevisan, M., Bhattacharya, S. and Smarandache, F. (2003) Fuzziness and Funds Allocation, International Journal of Social Economics, USA, vol 30, pp. 619-632.
  • Khoshnevisan, M., Singh, H.P., Singh, R. and Smarandcahe, F. (2003) Econometric Analysis on Efficiency of Estimators, Libertas Mathematica, USA, vol 23, pp. 184-194.
  • Khoshnevisan, M., Singh, H.P., Singh, R. and Smarandcahe, F. (2004) Empirical Study in Finite Correlation Coefficient in Two Phase Estimation, Libertas Mathematica, USA.

Book chapters

  • Khoshnevisan, M. (2003) Neutrosophic systems and time allocation of money, in Artificial intelligence and response optimization, 2003, USA, pp. 4-23.
  • Khoshnevisan, M. (2003) Computational exploration of investor utility underlying a portfolio, in Artificial intelligence and response optimization, USA, pp. 25-48.
  • Khoshnevisan, M. (2003) A proposed artificial neural network classifier to identify tumour metastases, in Artificial intelligence and response optimization, USA, pp. 49-59.
  • Khoshnevisan, M. (2003) Utility of choice: an information theoretic approach to investment decision-making, in Artificial intelligence and response optimization, USA, pp. 60-76.

Refereed conference papers

  • Khoshnevisan, M. and Bhattacharya, S. (2003) Modified Assignment (MASS) Algorithm - A Semi-heuristic Technique of Optimal Plant Layout Design for Process-focused Systems, Proceedings of the Sixth International Conference On Information Fusion - Applications of Plausible, Paradoxical, and Neutrosophical Reasoning for Information Fusion, Queensland, Australia, pp. 136-1370.
  • Khoshnevisan, M. and Bhattacharya, S. (2003) Information Fusion Based on Neutrosophic Logic to Reconcile Between Theoretical and Market Prices of Long-term Options Separated by Mass Cognitive Dissonance, Proceedings of the Sixth International Conference On Information Fusion - Applications of Plausible, Paradoxical, and Neutrosophical Reasoning for Information Fusion, Queensland, Australia, pp. 1252-1257.

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