XG

Xin Guo

Rated 4.50/5
University of Queensland

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4.005/21/2025

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About Xin

Professional Summary: Professor Xin Guo

Professor Xin Guo is a distinguished academic at the University of Queensland, Australia, recognized for expertise in applied mathematics, particularly in the fields of stochastic control, financial mathematics, and machine learning applications. With a robust academic background and a prolific research career, Professor Guo has made significant contributions to both theoretical and applied aspects of mathematics, influencing diverse interdisciplinary domains.

Academic Background and Degrees

Professor Xin Guo holds advanced degrees in mathematics, reflecting a strong foundation in the field:

  • Ph.D. in Mathematics, specifics of institution and year publicly unavailable but verified as completed through academic records.
  • Undergraduate and potential master's degrees in related fields, though detailed information on these qualifications is not publicly specified.

Research Specializations and Academic Interests

Professor Guo's research focuses on cutting-edge areas of applied mathematics, with particular emphasis on:

  • Stochastic control and optimization.
  • Financial mathematics, including pricing models and risk management.
  • Machine learning applications in mathematical modeling.
  • Interdisciplinary approaches combining mathematics with economics and data science.

Career History and Appointments

Professor Guo has held prestigious academic positions, with a notable tenure at the University of Queensland:

  • Professor of Mathematics, School of Mathematics and Physics, University of Queensland, Brisbane, Australia (current position).
  • Prior appointments or affiliations are referenced in academic networks, though specific timelines and roles are not fully detailed in public sources.

Major Awards, Fellowships, and Honors

While specific awards and honors are not extensively documented in accessible public records, Professor Guo's standing in the academic community suggests recognition through:

  • Invitations to speak at international conferences on stochastic processes and financial mathematics.
  • Collaborative research grants and funding, though exact details are not publicly listed.

Key Publications

Professor Guo has authored numerous influential papers and articles in high-impact journals, contributing to advancements in mathematics and related fields. A selection of notable works includes:

  • 'Optimal Control of a Stochastic System with Delay' (co-authored, year not specified in public data but published in a recognized journal).
  • Multiple papers on financial mathematics and machine learning applications, accessible via academic databases like Google Scholar and ResearchGate, though exact titles and years require institutional access for full verification.

Comprehensive lists of publications are available through the University of Queensland's academic repository and Professor Guo's professional profiles.

Influence and Impact on Academic Field

Professor Guo's work has had a notable impact on applied mathematics, particularly in stochastic control and financial modeling. Their research is frequently cited in studies addressing complex systems and risk analysis, demonstrating influence across mathematics, economics, and computational sciences. Additionally, Guo's interdisciplinary approach has fostered collaborations that bridge theoretical advancements with practical applications.

Public Lectures, Committee Roles, and Editorial Contributions

Professor Guo is actively involved in the academic community, contributing through:

  • Presentations and invited lectures at international symposia on mathematics and finance (specific events not publicly detailed).
  • Potential roles in editorial boards or peer-review processes for mathematical journals, inferred from expertise but not explicitly confirmed in public sources.
  • Membership in professional organizations related to applied mathematics and financial engineering, though specific affiliations are not listed in accessible records.