Humera Tariq
Papers
1
Total Citations
4
H-Index
1
About
Dr. Humera Tariq is a pioneering researcher at the intersection of quantum computing, evolutionary algorithms, and financial forecasting. Her most cited work, "A Quantum based Evolutionary Algorithm for Stock Index and Bitcoin Price Forecasting" (2018), introduces a novel hybrid approach that leverages quantum principles to enhance traditional evolutionary computation for predicting volatile financial markets. With 4 citations, this paper lays foundational groundwork for applying quantum-inspired techniques to cryptocurrency and stock index forecasting, demonstrating how quantum superposition and entanglement can improve optimization in complex, uncertain systems. Dr. Tariq’s research bridges cutting-edge quantum theory with practical financial modeling, offering new tools for tackling high-dimensional prediction problems. Her contributions extend to broader applications in robotics, cryptography, and uncertainty modeling, where quantum evolutionary methods show promise. By merging nature-inspired algorithms with quantum computing, she opens pathways for more efficient and accurate forecasting in an era of data-driven decision-making. Dr. Tariq’s work is particularly valuable for students and researchers exploring the convergence of quantum information science and computational finance, highlighting the transformative potential of quantum-enhanced evolutionary strategies.
Research Focus
Key Achievements
Top Papers
- 1