Mitra Saeedi

Dr Mitra Saeedi

Lecturer

Fintech, Data Analysis and Financial Economics

Department of Business Entrepreneurship & Finance , Royal Docks School Of Business And Law

In 1998, Mitra embarked on her teaching journey, which later flourished at the Asia Pacific University of Technology & Innovation (APU) in Malaysia. Her transition to a full-time lecturer occurred in 2014 upon completing her PhD in Financial Economics. Recognised for her exceptional performance in education, leadership, research, and citizenship, Mitra was promoted to Senior lecturer in 2016. Her proficiency spans various domains including educational leadership, curriculum development, student planning, and faculty development, augmented by her active involvement in module and programme development processes.  Since 2014, Mitra has adeptly taught and led over 20 modules within her areas of expertise, catering to students across BSc, MSc, MBA, and DBA programmes.

She has strong interdisciplinary skills with a diverse and extensive background in science and art leading to a highly creative and innovative approach in teaching, research, leadership, and problem-solving. Her mentorship extends beyond the classroom, having completed supervision of more than 50 master's and 2 Ph.D. dissertations, with ongoing supervision of 3 PhD students in the Fintech field at UEL. 

Qualifications

  • PhD Financial Economics
  • MBA Finance
  • MA Art Studies
  • BA Music
  • BSc Pure Mathematics

Areas Of Interest

  • Fintech
  • Data Analysis
  • Risk Management
  • Investment & Portfolio Management
  • Corporate Finance
  • Financial Economics
  • International Finance
Mitra Saeedi

OVERVIEW

Throughout Dr Saeedi's career, she has held different leadership roles, serving as a module leader, programme leader, and project leader. Presently, she is the Education and Experience Lead for the Business Management, Entrepreneurship, and Finance Department at UEL. Mitra has extensive data reporting, interpretation, and analysis expertise, essential for driving financial solutions in dynamic environments. Additionally, she is proficient in econometric modelling using econometric software, such as Eviews and Stata.

CURRENT RESEARCH

Mitra started her research activities in 2000 in the domain of Art studies. She was engaged in joint research collaboration with different research centres. However, starting her MBA in Finance was a turning point in her career and research area; her interest in the research domains in finance, especially financial modelling, financial economics, and financial mathematics, motivated her to do a doctoral programme at the University Putra Malaysia where she got equipped with various research tools and excelled her understanding of the research fundamentals. Since 2014, as an academic, Mitra has been constantly involved in finance and economics research activities.

Her research efforts have focused on financial economics, corporate finance, portfolio management and risk management, applying various financial econometric techniques and statistical methods. However, motivated by disrupting technologies such as artificial intelligence, machine learning, and blockchain, her current research has been more focused on the impact of these technologies on Economics and Finance.

Most current research

  • Sontakke, P., Jafari, F., Saeedi, M. and Amirhosseini, M. 2024. Forecasting Bitcoin Prices in the Context of the COVID-19 Pandemic Using Machine Learning Approaches. 4th International Conference on Data Analytics & Management (ICDAM-2023). London, UK 23 - 24 Jun 2023 Springer. ( Proceedings of Data Analytics and Management: ICDAM 2023, Volume 1 | SpringerLink)
  • Berdiyeva, O., Islam, M.U., & Saeedi, M. (2021). Artificial intelligence in accounting and finance: Meta-analysis. International Business Review, 3(1):56-79.DOI:10.37435/NBR21032502((PDF) Artificial Intelligence in Accounting and Finance: Meta-Analysis (researchgate.net)
  • Nistala, M.N., Saeedi, M., Umar Islam, M.  (2020). Bitcoin Price Volatility and Hedging Capacity. International Journal of Management, 11(10), 1703-1712, DOI: 10.34218/IJM.11.10.2020.156. (IJM_11_10_156-libre.pdf (d1wqtxts1xzle7.cloudfront.net))

Research centres

  • Centre of FinTech
  • Centre of Innovation
  • Management and Enterprise (CIME)

PUBLICATIONS

Journals

  • Sontakke, P., Jafari, F., Saeedi, M. and Amirhosseini, M. 2024. Forecasting Bitcoin Prices in the Context of the COVID-19 Pandemic Using Machine Learning Approaches. 4th International Conference on Data Analytics & Management (ICDAM-2023). London, UK 23 - 24 Jun 2023 Springer.
  • Berdiyeva, O., Islam, M.U., & Saeedi, M. (2021). Artificial intelligence in accounting and finance: Meta-analysis. International Business Review, 3(1):56-79, DOI:10.37435/NBR21032502
  • Nistala, M.N., Saeedi, M., Umar Islam, M.  (2020). Bitcoin Price Volatility and Hedging Capacity. International Journal of Management, 11(10), 1703-1712, DOI: 10.34218/IJM.11.10.2020.156.
  • Wulandari, T., Saeedi, M. & Meskaran, F. (2020). Factors Affecting Equity Crowdfunding Investment in Kuala Lumpur, International Journal of Management, 11(10), 1816-1823, DOI: 10.34218/IJM.11.10.2020.169.
  • Ali, W., Dada, M. Muthaly, S., & Saeedi, M. (2020). Adoption of "Shariah" Compliant Financing-Based Crowdfunding Platform by SMEs: A Case Study on Beehive. Test Engineering & Management, 82, 533 – 545, ISSN: 0193-4120.
  • Summoogum, J. P. & Saeedi, M.(2020). A Study on the Inefficiencies of Bitcoin and Its Future Adoption. Test Engineering & Management,82, 16624- 16634 ISSN: 0193 – 4120.
  • Rasheed, A., Saeedi, M., Gebril, N., & Hariraj, K. (2020). Causal Relationships and Short-term Dynamics between Oil Price and Stock Market Returns in Malaysia. International Journal of Psychosocial Rehabilitation,24(2), 1184-1204, DOI:10.37200/IJPR/V24I2/PR200419.
  • Rasheed, A., Saeedi, M., Gebril, N.,& Hariraj, K. (2020). Impact of Macroeconomic Variables on Stock Market of Malaysia. International Journal of Psychosocial Rehabilitation,24(2), 1205-1214. DOI: 10.37200/IJPR/V24I2/PR200420.
  • Wong, C.Y. J., Saeedi, M. & Meskaran, F. (2019). A Literature Review on Factors Influencing Intention to Adopt E-wallet. Journal of Advanced Research in Dynamical and Control Systems, 11, 895-903, DOI: 10.5373/JARDCS/V11SP11/20193113.
  • Raudha, F. & Saeedi, M. (2019). Artificial Intelligence and Machine Learning as a Tool in Preventing and Detecting Financial Fraud: A Systematic Literature Review. Journal of Advanced Research in Dynamical and Control Systems, 11, 904-911, DOI: 10.5373/JARDCS/V11SP11/20193114.
  • Nasir, F. & Saeedi, M. (2019).  Regtech as a Solution for Compliance Challenge: A Review Article. Journal of Advanced Research in Dynamical and Control Systems, 11, 912-919, DOI: 10.5373/JARDCS/V11SP11/20193115.
  • Huang, T., Saeedi, M. & Meskaran, F. (2019). Factors Influencing Continuous Use of Third-Party Mobile Payment Services in China: An Empirical Study in Shenzhen. Journal of Advanced Research in Dynamical and Control Systems, 11, 920-927, DOI: 10.5373/JARDCS/V11SP11/20193116.
  • Ruhomaun, M. A., Saeedi, M. & Nagavhi, N. (2019). The Effects of Selected Macro & Micro Economic Variables on Firm Performance for Listed Firms in the Industrial Products Sector in Malaysia. International Journal of Recent Technology and Engineering (IJRTE), 7 (5S), 95-101.
  • Partoon, B., Khalaji Assadi, M., Saeedi, M. (2016). Study the Feasibility of A Hybrid Renewable Energy System for Power Generation in Seri Iskandar.4th IET International Conference on Clean Energy and Technology 2016, Kuala Lumpur, Malaysia.

MODULES

  • International Finance and Securities
  • Financial Economics, International Economics
  • Business Statistics and Data Analysis
  • Risk Management in Banking