| 2026 | COMPSAC | A Study on Long-Horizon Stock Forecasting Failures With Deep Sequential Models. | Joy Dip Das, Ruppa K. Thulasiram, Abhinav Jain, Aerambamoorthy Thavaneswaran |
| 2026 | COMPSAC | Bitcoin Loyalty Programs for SMBs: Quantifying Cashback-Driven Wealth Effects and Local Economic Multipliers. | Ali Farhani, Saulo Q. Dos Santos, Joy Dip Das, Ruppa K. Thulasiram |
| 2025 | COMPSAC | 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 |
| 2025 | COMPSAC | Adapting Hybridization of Deep Learning Algorithms for High-Frequency Datasets. | Joy Dip Das, Avanthi Saumyamala, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran |
| 2025 | COMPSAC | Hybrid LSTM/GRU and Support Vector Regression Models for Stock Index Prediction. | Joy Dip Das, Ruppa K. Thulasiram, Sulalitha Bowala, Avanthi Saumyamala, Aerambamoorthy Thavaneswaran |
| 2025 | COMPSAC | 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 |
| 2025 | COMPSAC | Superiority of RMT Filtered Data-Driven Covariance Matrix for Portfolio Optimization and Resilient Networks. | Avanthi Saumyamala, Sulalitha Bowala, Aerambamoorthy Thavaneswaran, You Liang, Alex Paseka, Ruppa K. Thulasiram |
| 2025 | COMPSAC | Superiority of the Neural Network Models for Multivariate Price and Volatility Forecasting. | Avanthi Saumyamala, You Liang, Aerambamoorthy Thavaneswaran, Alex Paseka, Sulalitha Bowala, Ruppa K. Thulasiram |
| 2024 | COMPSAC | Neural Network Fuzzy Electricity Demand Forecasts Based on Fuzzy Inputs. | Sulalitha Bowala, Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Srimantoorao Semischetty Appadoo |
| 2024 | COMPSAC | Novel Resilient Model Risk Forecasts Based on Neuro Volatility Models. | Md. Erfanul Hoque, Sulalitha Bowala, Avanthi Saumyamala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram |
| 2024 | COMPSAC | Synchronous Set-Based Particle Swarm Optimization: Heuristics for Portfolio Optimization. | Ashish Lakhmani, Ruppa K. Thulasiram, Parimala Thulasiraman |
| 2024 | COMPSAC | A Cryptocurrency Multiple Trading Strategy with Kalman Filter Innovation Volatility Interval Forecasts. | You Liang, Aerambamoorthy Thavaneswaran, Juan Liyau, Areebah Muhammad, Thimani Ranathungage, Ruppa K. Thulasiram |
| 2024 | COMPSAC | Application of a Novel Fuzzy Pattern Mining Algorithm for Sequence Data. | Thimani Ranathungage, Sulalitha Bowala, Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram |
| 2024 | COMPSAC | Novel Data-Driven Dynamic Network Science Application in Algorithmic Trading. | Thimani Ranathungage, Aerambamoorthy Thavaneswaran, You Liang, Ruppa K. Thulasiram, Alex Paseka |
| 2024 | COMPSAC | Novel Non-linear Adaptive Fuzzy Adjacency Matrices for Financial Volatility Network Models. | Avanthi Saumyamala, Sulalitha Bowala, You Liang, Shanika Basnayake, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram |
| 2024 | GECCO | Parallel Co-Evolutionary Algorithm and Implementation on CPU-GPU Multicore. | Zhuoran Sun, Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram |
| 2023 | COMPSAC | Resilient Portfolio Optimization using Traditional and Data-Driven Models for Cryptocurrencies and Stocks. | Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran |
| 2023 | COMPSAC | Fuzzy Option Pricing for Jump Diffusion Model using Neuro Volatility Models. | Md. Erfanul Hoque, Sulalitha Bowala, Alex Paseka, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram |
| 2023 | COMPSAC | Comparison of Trading Strategies: Dual Momentum vs Pairs Trading. | Japjeet Singh, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran, Alex Paseka |
| 2022 | COMPSAC | A New Era of Blockchain-Powered Decentralized Finance (DeFi) - A Review. | Saulo dos Santos, Japjeet Singh, Ruppa K. Thulasiram, Shahin Kamali, Louis Sirico, Lisa Loud |
| 2021 | COMPSAC | 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 |
| 2021 | COMPSAC | An Algorithmic Multiple Trading Strategy Using Data-Driven Random Weights Innovation Volatility. | Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Alex Paseka, Ruppa K. Thulasiram |
| 2021 | COMPSAC | Portfolio Optimization Using Novel Intelligent Probabilistic Forecasts of Risk Measures. | You Liang, Aerambamoorthy Thavaneswaran, Alexander Paseka, Ruppa K. Thulasiram, Ethan Johnson-Skinner |
| 2021 | COMPSAC | Novel Data-Driven Resilient Portfolio Risk Measures Using Sign and Volatility Correlations. | Aerambamoorthy Thavaneswaran, You Liang, Na Yu, Alex Paseka, Ruppa K. Thulasiram |
| 2020 | COMPSAC | A Novel Dynamic Data-Driven Algorithmic Trading Strategy Using Joint Forecasts of Volatility and Stock Price. | You Liang, Aerambamoorthy Thavaneswaran, Alexander Paseka, Zimo Zhu, Ruppa K. Thulasiram |
| 2020 | COMPSAC | Dynamic Data Science Applications in Optimal Profit Algorithmic Trading. | You Liang, Aerambamoorthy Thavaneswaran, Na Yu, Md. Erfanul Hoque, Ruppa K. Thulasiram |
| 2020 | COMPSAC | Data-Driven Adaptive Regularized Risk Forecasting. | You Liang, Aerambamoorthy Thavaneswaran, Zimo Zhu, Ruppa K. Thulasiram, Md. Erfanul Hoque |
| 2020 | COMPSAC | Portfolio Optimization Using a Novel Data-Driven EWMA Covariance Model with Big Data. | Zimo Zhu, Aerambamoorthy Thavaneswaran, Alexander Paseka, Julieta Frank, Ruppa K. Thulasiram |
| 2019 | CEC | Effect of PSO Communication Topologies on Task Matching in Grid Computing. | Eid Albalawi, Fujie Chen, Ruppa K. Thulasiram, Parimala Thulasiraman |
| 2019 | COMPSAC | Fuzzy Value-at-Risk Forecasts Using a Novel Data-Driven Neuro Volatility Predictive Model. | Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Zimo Zhu, Md. Erfanul Hoque, Nalini Ravishanker |
| 2018 | CEC | A Modified Genetic Learning PSO for Task Matching in Grid Environment. | Eid Albalawi, Parimala Thulasiraman, Ruppa K. Thulasiram |
| 2018 | IJCNN | A Self Fixing Intelligent Ant Clustering Algorithm For Graphs. | Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram |
| 2017 | CIT | An Enhanced Chaos-Based Firefly Model for Parkinson's Disease Diagnosis and Classification. | Sujata Dash, Ruppa K. Thulasiram, Parimala Thulasiraman |
| 2015 | PPAM | Parallel Ant Brood Graph Partitioning in Julia. | Jose Juan Mijares Chan, Yuyin Mao, Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram |
| 2015 | TrustCom | Stationarity Enforcement of Accelerator Based TRNG by Genetic Algorithm. | Jose Juan Mijares Chan, Parimala Thulasiraman, Gabriel Thomas, Ruppa K. Thulasiram |
| 2014 | UIC | A Discrete Time Financial Option Pricing Model for Cloud Services. | David Allenotor, Ruppa K. Thulasiram |
| 2013 | CEC | MAZACORNET: Mobility aware zone based ant colony optimization routing for VANET. | Himani Rana, Parimala Thulasiraman, Ruppa K. Thulasiram |
| 2013 | ICA3PP | Memory Efficient Multi-Swarm PSO Algorithm in OpenCL on an APU. | Wayne Franz, Parimala Thulasiraman, Ruppa K. Thulasiram |
| 2013 | ICA3PP | A Novel Architecture for Financial Investment Services on a Private Cloud. | Ranjan Saha, Bhanu Sharma, Ruppa K. Thulasiram, Parimala Thulasiraman |
| 2013 | PPAM | Effects of Segmented Finite Difference Time Domain on GPU. | Jose Juan Mijares Chan, Gagan Battoo, Parimala Thulasiraman, Ruppa K. Thulasiram |
| 2013 | PPAM | Optimization of an OpenCL-Based Multi-swarm PSO Algorithm on an APU. | Wayne Franz, Parimala Thulasiraman, Ruppa K. Thulasiram |
| 2012 | CCGRID | Pricing Cloud Compute Commodities: A Novel Financial Economic Model. | Bhanu Sharma, Ruppa K. Thulasiram, Parimala Thulasiraman, Saurabh Kumar Garg, Rajkumar Buyya |
| 2012 | ISPA | Optimizing Option Pricing Algorithms and Profiling Power Consumption on VLIW APU Architecture. | Matthew Doerksen, Parimala Thulasiraman, Ruppa K. Thulasiram |
| 2012 | ISPA | Portfolio Management Using Particle Swarm Optimization on GPU. | Bhanu Sharma, Ruppa K. Thulasiram, Parimala Thulasiraman |
| 2012 | UCC | Financial Option Market Model for Federated Cloud Environments. | Adel Nadjaran Toosi, Ruppa K. Thulasiram, Rajkumar Buyya |
| 2011 | GECCO | Pricing transmission rights using ant colony optimization. | Sameer Kumar Singh, Ruppa K. Thulasiram, Parimala Thulasiraman |
| 2011 | GECCO | Collaborative multi-swarm PSO for task matching using graphics processing units. | Steven Solomon, Parimala Thulasiraman, Ruppa K. Thulasiram |
| 2011 | HPCC | True Random Number Generator Using GPUs and Histogram Equalization Techniques. | Jose Juan Mijares Chan, Bhanu Sharma, Jiaqing Lv, Gabriel Thomas, Ruppa K. Thulasiram, Parimala Thulasiraman |
| 2011 | HPCC | Resource Provisioning Policies to Increase IaaS Provider's Profit in a Federated Cloud Environment. | Adel Nadjaran Toosi, Rodrigo N. Calheiros, Ruppa K. Thulasiram, Rajkumar Buyya |
| 2011 | UCC | Statistical Modeling of Spot Instance Prices in Public Cloud Environments. | Bahman Javadi, Ruppa K. Thulasiram, Rajkumar Buyya |
| 2010 | GECCO | Particle swarm optimization algorithm for option pricing: extended abstract. | Hari Prasain, Parimala Thulasiraman, Ruppa K. Thulasiram, Girish K. Jha |
| 2010 | HPCC | Evaluation of a Financial Option Based Pricing Model for Grid Resources Management: Simulation vs. Real Data. | David Allenotor, Ruppa K. Thulasiram |
| 2010 | HPCC | Option Pricing on the GPU. | Steven Solomon, Ruppa K. Thulasiram, Parimala Thulasiraman |
| 2010 | HPCC | Exploiting Parallelism in Iterative Irregular Maxflow Computations on GPU Accelerators. | Steven Solomon, Parimala Thulasiraman, Ruppa K. Thulasiram |
| 2009 | CEC | Ant Colony Optimization to price exotic options. | Sameer Kumar, Gitika Chadha, Ruppa K. Thulasiram, Parimala Thulasiraman |
| 2009 | GPC | A Financial Option Based Grid Resources Pricing Model: Towards an Equilibrium between Service Quality for User and Profitability for Service Providers. | David Allenotor, Ruppa K. Thulasiram, Parimala Thulasiraman |
| 2009 | IJCNN | PSO based neural network for time series forecasting. | Girish K. Jha, Parimala Thulasiraman, Ruppa K. Thulasiram |
| 2008 | AINA | PACONET: imProved Ant Colony Optimization Routing Algorithm for Mobile Ad Hoc NETworks. | Eseosa Osagie, Parimala Thulasiraman, Ruppa K. Thulasiram |
| 2008 | GPC | A Fuzzy Grid-QoS Framework for Obtaining Higher Grid Resources Availability. | David Allenotor, Ruppa K. Thulasiram |
| 2007 | ISPA | A Grid Resources Valuation Model Using Fuzzy Real Option. | David Allenotor, Ruppa K. Thulasiram |
| 2006 | ISPA | A Software Architecture Framework for On-Line Option Pricing. | Kiran Kola, Amit Chhabra, Ruppa K. Thulasiram, Parimala Thulasiraman |
| 2006 | ISPA | Exploring Financial Applications on Many-Core-on-a-Chip Architecture: A First Experiment. | Weirong Zhu, Parimala Thulasiraman, Ruppa K. Thulasiram, Guang R. Gao |
| 2005 | EuroPar | High Performance Computing for a Financial Application Using Fast Fourier Transform. | Sajib Barua, Ruppa K. Thulasiram, Parimala Thulasiraman |
| 2004 | ICCSA | Fast Fourier Transform for Option Pricing: Improved Mathematical Modeling and Design of Efficient Parallel Algorithm. | Sajib Barua, Ruppa K. Thulasiram, Parimala Thulasiraman |
| 2000 | EuroPar | Developing a Communication Intensive Application on the EARTH Multithreaded Architecture (Distinguished Paper). | Kevin B. Theobald, Rishi Kumar, Gagan Agrawal, Gerd Heber, Ruppa K. Thulasiram, Guang R. Gao |
| 2000 | PDPTA | Recursive and Iterative Multithreaded Algorithms for Pricing American Securities. | Ruppa K. Thulasiram, Christopher T. Downing, Guang R. Gao |