معرفی
Zissis Poulos is an Assistant Professor at the School of Information Technology within the Faculty of Liberal Arts & Professional Studies at York University. He holds a PhD and MASc in Electrical and Computer Engineering from the University of Toronto, obtained in 2018 and 2014 respectively. Previously, he served as a postdoctoral fellow at the Joseph L. Rotman School of Management, University of Toronto. His research focuses on machine learning applications in financial risk management, derivatives hedging, volatility modeling, natural language processing for financial analysis, and decentralized finance technologies. He co-founded Tartan AI, a startup developing energy-efficient deep learning solutions.
**Education:**
- PhD in Electrical and Computer Engineering, University of Toronto (2018)
- MASc in Electrical and Computer Engineering, University of Toronto (2014)
**Research Interests:**
Zissis' research spans machine learning for derivatives hedging and risk management, natural language processing (NLP) applied to financial soft information analysis, generative models for financial data synthesis, and blockchain-based decentralized finance systems. His work emphasizes volatility surface modeling, reinforcement learning for financial decision-making, and distributed ledger technologies.
**Recent Research Trends:**
His publications highlight advancements in reinforcement learning for hedging strategies, volatility modeling via variational autoencoders, and text-based analysis of monetary policy uncertainty. He also explores synthetic data applications in regulatory frameworks and decentralized blockchain oracles for trustless systems.
**Professional Activities:**
Zissis co-founded Tartan AI, which focuses on optimizing deep learning compute and compression for energy efficiency. His work bridges academic research with industry applications in fintech and blockchain solutions.
