D. T. Pele
Daniel Traian Pele

PhD students

Doctoral supervision at the Bucharest University of Economic Studies.

Daco-Roman oil lamp, 2nd–4th century AD, found near Gura-Padinii (Romanați, today Olt county)
“Tristo è quel discepolo che non avanza il suo maestro.”

Poor is the pupil who does not surpass his master.

— Leonardo da Vinci

Doctoral supervision

PhD students

Doctoral School of Cybernetics and Economic Statistics, Bucharest University of Economic Studies. PhD supervisor since 2019.

Diana-Ioana Micu

Diana-Ioana Micu

2026– Ongoing

Thesis: AI tools for financial markets: anomaly detection and crisis prevention

Andrei-Theodor Ginavar

Andrei-Theodor Ginavar

2024– Ongoing

Thesis: Application of large language models in the forecast of digital asset returns

Joint PhD (cotutelle), with Prof. Daniela-Ioana Manea

Joint papers (5)
Rahul Tak

Rahul Tak

2024– Ongoing

Thesis: Deep learning algorithms for industry-ready automated trading systems

Joint PhD (cotutelle), with Prof. Adrian Costea; MSCA Digital Finance

Joint papers (6)
Siang-Li (David) Jheng

Siang-Li (David) Jheng

2024– Ongoing

Thesis: Early-warning systems for preventing the deterioration of the performance of financial and economic entities

Joint PhD (cotutelle), with Prof. Adrian Costea; MSCA Digital Finance

Joint papers (5)
Alexandru-Victor Andrei

Alexandru-Victor Andrei

2023– Ongoing

Thesis: Explainable Artificial Intelligence (XAI): applications in economics

Joint papers (8)
Ștefan Găman

Ștefan Găman

2023– Ongoing

Thesis: Risk models for digital assets

Joint papers (7)
Alexandru-Adrian Cramer

Alexandru-Adrian Cramer

2022– Ongoing

Thesis: Applying deep learning and big data techniques in financial instruments trading

Joint papers (5)
Saad Obaid Jameel Al-Masoodi

Saad Obaid Jameel Al-Masoodi

2022– Ongoing

Thesis: Statistical methods for financial markets forecasting

Ioana-Alexandra Conda

Ioana-Alexandra Conda

2021– Ongoing

Thesis: Statistical models for capital markets

Joint papers (8)

PhD topics offered

Prospective students are welcome to get in touch about these topics:

  1. LLMs in economics
  2. Risk models for digital assets
  3. Explainable Artificial Intelligence (XAI): applications in economics
  4. Predictability of financial crises in the digital era
  5. Transparent versus black-box decision-support models in the financial industry