Modeling of Short-Term Electricity Demand and Comparison of Machine Learning Approaches for Load Forecasting. - Behrouz Banitalebi; Srimantoorao Semischetty Appadoo; Aerambamoorthy Thavaneswaran; Md. Erfanul Hoque (COMPSAC, 2020)

Dynamic Data Science Applications in Optimal Profit Algorithmic Trading. - You Liang; Aerambamoorthy Thavaneswaran; Na Yu; Md. Erfanul Hoque; Ruppa K. Thulasiram (COMPSAC, 2020)

Data-Driven Adaptive Regularized Risk Forecasting. - You Liang; Aerambamoorthy Thavaneswaran; Zimo Zhu; Ruppa K. Thulasiram; Md. Erfanul Hoque (COMPSAC, 2020)

Regularized Probabilistic Forecasting of Electricity Wholesale Price and Demand. - Behrouz Banitalebi; Md. Erfanul Hoque; Srimantoorao Semischetty Appadoo; Aerambamoorthy Thavaneswaran (SSCI, 2020)

A Novel Algorithmic Trading Strategy Using Data-Driven Innovation Volatility. - You Liang; Aerambamoorthy Thavaneswaran; Md. Erfanul Hoque (SSCI, 2020)

A Novel Dynamic Demand Forecasting Model for Resilient Supply Chains using Machine Learning. - Md. Erfanul Hoque; Aerambamoorthy Thavaneswaran; Srimantoorao Semischetty Appadoo; Ruppa K. Thulasiram; Behrouz Banitalebi (COMPSAC, 2021)

An Algorithmic Multiple Trading Strategy Using Data-Driven Random Weights Innovation Volatility. - Md. Erfanul Hoque; Aerambamoorthy Thavaneswaran; Alex Paseka; Ruppa K. Thulasiram (COMPSAC, 2021)

A Novel Data Driven Machine Learning Algorithm For Fuzzy Estimates of Optimal Portfolio Weights and Risk Tolerance Coefficient. - Aerambamoorthy Thavaneswaran; You Liang; Alex Paseka; Md. Erfanul Hoque; Ruppa K. Thulasiram (FUZZ-IEEE, 2021)

Data-Driven Fuzzy Demand Forecasting Models for Resilient Supply Chains. - Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram; Md. Erfanul Hoque; Srimantoorao Semischetty Appadoo (SSCI, 2021)

Fuzzy Option Pricing for Jump Diffusion Model using Neuro Volatility Models. - Md. Erfanul Hoque; Sulalitha Bowala; Alex Paseka; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram (COMPSAC, 2023)

Superiority of Neural Networks for Trading Volume Forecasts of Stocks and Cryptocurrencies. - Sulalitha Bowala; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram; Md. Erfanul Hoque; Alex Paseka (SSCI, 2023)

Neural Network Fuzzy Electricity Demand Forecasts Based on Fuzzy Inputs. - Sulalitha Bowala; Md. Erfanul Hoque; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram; Srimantoorao Semischetty Appadoo (COMPSAC, 2024)

Novel Resilient Model Risk Forecasts Based on Neuro Volatility Models. - Md. Erfanul Hoque; Sulalitha Bowala; Avanthi Saumyamala; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram (COMPSAC, 2024)

Application of a Novel Fuzzy Pattern Mining Algorithm for Sequence Data. - Thimani Ranathungage; Sulalitha Bowala; Md. Erfanul Hoque; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram (COMPSAC, 2024)

On the Superiority of Data-Driven Combined Forecasts Based on Deep Learning Models. - Sulalitha Bowala; Md. Erfanul Hoque; Hina Shaheen; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram; Alex Paseka (COMPSAC, 2025)

Statistical and Deep Learning Approaches for Risk Assessment and Volatility Forecasting in Renewable Energy Investments. - Shalini Jayanetti; Sulalitha Bowala; Sumeet Kalia; Aerambamoorthy Thavaneswaran; Md. Erfanul Hoque; Razvan G. Romanescu (COMPSAC, 2025)

Novel Data Driven High Dimensional Volatility Networks and Dynamic Price Networks. - Avanthi Saumyamala; Sulalitha Bowala; Md. Erfanul Hoque; Aerambamoorthy Thavaneswaran; Alex Paseka; Ruppa K. Thulasiram (COMPSAC, 2025)