Prof MeiChi Huang | Risk Management | Women Researcher Award

Prof MeiChi Huang | Risk Management | Women Researcher Award

National Taipei University, Taiwan

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Early Academic Pursuits ๐ŸŽ“

Dr. Mei-Chi Huang’s academic journey began with a Bachelorโ€™s degree in Finance from National Taiwan University in 1997. Her early focus on finance laid the foundation for her later work in economics and business administration. She expanded her academic horizon by obtaining an MBA from California State University, Los Angeles, in 2005. This achievement marked a critical juncture in her career, providing her with the tools necessary to delve deeper into the complexities of economic systems. Her thirst for knowledge led her to the University of California, Riverside, where she earned her M.A. in Economics in 2007 and later her Ph.D. in Economics in December 2009. These degrees were pivotal in shaping her understanding of economic theories and their real-world applications.

Professional Endeavors ๐Ÿข

Following her extensive academic training, Dr. Huang embarked on a professional career that combined academia and government service. Her early professional experiences include roles at the Kaohsiung National Tax Administration and the Finance and Taxation Bureau in Taiwan. These positions provided her with practical insights into the workings of financial systems, particularly in public administration.

Dr. Huang’s academic career began in earnest at Yuan Ze University, where she served as an Assistant Professor from 2010 to 2012. In 2012, she joined National Taipei University as an Assistant Professor, where she quickly rose through the ranks to become an Associate Professor in 2014 and a full Professor by 2019. Her commitment to academia was further exemplified by her role as a Committee Member of the Bureau of Public Service Pension Fund, where she applied her expertise in finance and economics to influence public policy.

Contributions and Research Focus ๐Ÿ“š

Dr. Huangโ€™s research is primarily centered on housing markets, financial economics, and econometric modeling. Her work has consistently explored the intricacies of housing market dynamics, particularly in the context of risk factors and market volatility. A significant portion of her research has focused on the United States housing market, examining how monetary policies, market expectations, and economic crises influence housing prices and market stability.

One of her notable contributions is her exploration of the impact of the COVID-19 pandemic on MSA-level housing markets. This research, published in 2024 in Research in International Business and Finance, provided critical insights into the vulnerabilities and resilience of housing markets during global crises. Dr. Huangโ€™s work on the predictive power of high-frequency housing prices, published in Macroeconomic Dynamics, further exemplifies her commitment to advancing the understanding of housing market behaviors through sophisticated econometric models.

Accolades and Recognition ๐Ÿ…

Dr. Huangโ€™s work has garnered significant recognition within the academic community. Her publications in prestigious journals such as International Journal of Finance and Economics, International Finance, and Managerial Finance highlight her role as a leading researcher in her field. Her ability to identify and analyze emerging risks in housing markets has positioned her as a critical voice in discussions on financial stability and economic forecasting.

Beyond her research, Dr. Huang has made substantial contributions as a journal reviewer. She has reviewed articles for numerous top-tier journals, including Applied Economics, Economic Modelling, Real Estate Economics, and International Review of Economics and Finance. Her role as a reviewer underscores her expertise and the respect she commands among her peers.

Impact and Influence ๐ŸŒ

Dr. Huangโ€™s research has had a profound impact on both academic scholarship and public policy. Her work on housing bubbles, market expectations, and the effects of monetary policies has provided valuable insights for economists, policymakers, and financial professionals. Her findings have implications not only for understanding past economic crises but also for developing strategies to mitigate future risks.

Her influence extends beyond her published work. As a professor at National Taipei University, Dr. Huang has mentored numerous students, guiding them in their academic and professional journeys. Her teaching and research have inspired a new generation of economists and finance professionals, ensuring that her contributions will continue to resonate in the field for years to come.

Legacy and Future Contributions ๐Ÿ”ฎ

Dr. Mei-Chi Huang’s career is marked by a relentless pursuit of knowledge and a dedication to improving our understanding of complex economic systems. Her legacy is one of academic excellence, practical application, and a commitment to public service. As she continues her research and teaching, there is no doubt that her future contributions will further enhance our understanding of housing markets and financial economics.

Looking ahead, Dr. Huang is likely to focus on the evolving challenges in global housing markets, particularly in the wake of unprecedented events like the COVID-19 pandemic. Her ability to adapt her research focus to address contemporary issues ensures that she will remain a vital figure in the field of economics. Her work will continue to influence how economists, policymakers, and financial institutions navigate the complexities of housing markets and economic stability in an increasingly interconnected world.

Publicationsย 

ย Timeโ€varying roles of housing risk factors in stateโ€level housing markets

Authors: Mei-Chi Huang
Journal: International Journal of Finance & Economics
Year: 2022
DOI: 10.1002/ijfe.2393

ย Timeโ€varying impacts of expectations on housing markets across hot and cold phases

Authors: Mei-Chi Huang
Journal: International Finance
Year: 2022

Regime switches and permanent changes in impacts of housing risk factors on MSAโ€level housing returns

Authors: Mei-Chi Huang
Journal: International Journal of Finance & Economics
Year: 2021
DOI: 10.1002/ijfe.1791

New sources of housing market risk: Asset pricing for the US stateโ€level housing markets

Authors: Mei-Chi Huang
Journal: International Finance
Year: 2020

Markov-switching impacts of housing-market expectations on credit markets

Authors: Mei-Chi Huang
Journal: Managerial Finance
Year: 2019

Dr. Erfan Shahab | Risk Management | Best Researcher Award

Dr. Erfan Shahab | Risk Management | Best Researcher Award

Toronto Metropolitan University, Canada

๐Ÿ”— Professional Profiles

๐ŸŒ Summary:

Erfan Shahab is a dedicated Industrial Engineer with a strong focus on quantum machine learning and optimization. With a robust academic background and professional experience in teaching, writing, and editing math books, Erfan brings a unique blend of technical skills and practical knowledge to his field.

๐ŸŽ“ Education:

  • Ph.D. in Industrial Engineering ๐ŸŽ“
    Toronto Metropolitan University (2024)
  • Thesis: Quantum Machine Learning and Optimization
  • Supervisor: Sharareh Taghipour (Canada Research Chair – Director of the RRMR Lab)
  • M.Sc. in Industrial Engineering ๐ŸŽ“
    Sharif University of Technology (2018-2020)
  • Thesis: Resilient Cloud Networks
  • B.Sc. in Industrial Engineering ๐ŸŽ“
    Khaje Nasir Toosi University (2013-2017)
  • Honors: National Scholarship for B.Sc., Ranked top 1% in nationwide university entrance

Professional Experience

  • Teacher, Writer & Editor of Math Books ๐Ÿ“
    Freelance (2013-2024)

Research Interests

  • Quantum Machine Learning ๐Ÿง 
  • Optimization Techniques โš™๏ธ
  • Resilient Cloud Networks โ˜๏ธ
  • Supply Chain Management ๐Ÿ”—

Skills

  • Technical Skills: Optimization, Supply Chain Management, Data Analysis, Python ๐Ÿ
  • Languages: English (IELTS โ€“ Overall: 7.5) ๐Ÿ‡ฌ๐Ÿ‡ง

 

Publication Top Noted

Designing a resilient cloud network fulfilled by reinforcement learning

  • Authors: Erfan Shahab, Mohsen Taleb, Fatemeh Gholian-Jouybari, Mostafa Hajiaghaei Keshteli
  • Journal: Expert Systems with Applications
  • Year: 2024-06
  • DOI: 10.1016/j.eswa.2024.124606

ย A production bounce-back approach in the Cloud manufacturing network: case study of COVID-19 pandemic

  • Authors: Erfan Shahab, Amirhossein Kazemisaboor, Sharif Khaleghparast, Omid Fatahi Valilai
  • Journal: International Journal of Management Science and Engineering Management
  • Volume: (To be updated as not provided)
  • ISSN: 1750-9653, 1750-9661

A novel service composition model considering the role of resilience in cloud supply networks

  • Authors: Erfan Shahab, Sharif Khaleghparast, Omid Fatahi Valilai
  • Journal: (To be updated as not provided)
  • Year: 2020
  • DOI: 10.13140/RG.2.2.15595.57126