Resilient Portfolio Optimization using Traditional and Data-Driven Models for Cryptocurrencies and Stocks. - Joy Dip Das; Sulalitha Bowala; Ruppa K. Thulasiram; Aerambamoorthy Thavaneswaran (COMPSAC, 2023)

High Frequency Data-Driven Dynamic Portfolio Optimization for Cryptocurrencies. - Sulalitha Bowala; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram; Thimani Ranathungage; Joy Dip Das (SSCI, 2023)

Portfolio Diversification with Clustering Techniques. - Joy Dip Das; Sulalitha Bowala; Ruppa K. Thulasiram; Aerambamoorthy Thavaneswaran (SSCI, 2023)

The Superiority of Direct Neuro Volatility Forecasts Over GARCH and Machine Learning Forecasts for Financial Assets. - Sulalitha Bowala; Aerambamoorthy Thavaneswaran; Avanthi Saumyamala; Joy Dip Das; Ruppa K. Thulasiram; Alex Paseka (CiFer Companion, 2025)

Non-Linear Data Representation with Machine Learning for Dynamic Covariance Based Financial Portfolio Optimization. - Joy Dip Das; Avanthi M. Gedara; Sulalitha Bowala; Ruppa K. Thulasiram; Aerambamoorthy Thavaneswaran (CIFEr, 2025)

Novel Financial Network Models Using Neuro Correlations and Applications. - Avanthi Saumyamala; Aerambamoorthy Thavaneswaran; Sulalitha Bowala; Joy Dip Das; Ruppa K. Thulasiram; Alex Paseka (CiFer Companion, 2025)