Research
Published Research
Papers on applied deep learning: reinforcement learning for trading, and multi-modal AI for medical diagnosis.
- 01 · Nov 2024Finance
A Review of Deep Reinforcement Learning Techniques in Algorithmic and Quantitative Trading
A systematic review of DRL methods applied to algorithmic trading — benchmarking frameworks like AlphaOptimizerNet, QTNet, and FinRL against challenges of market volatility, transaction costs, and the exploration-exploitation tradeoff. Evaluates DDQN and RDMM approaches and outlines what is still needed before DRL systems are production-robust.
Read the paper - 02 · Apr 2024Healthcare
AI-Driven Medical Diagnostic System: Incorporating Deep Learning for a More Effective Healthcare Model
Presents a multi-modal diagnostic system combining deep learning and NLP to automate disease detection, medical image analysis, and drug identification. Integrates Gemini for real-time AI insights on a Django/React Native stack — targeting reduced diagnostic time, human error, and cost, especially in remote and underserved healthcare settings.
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