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 (Euro-Par, 2000)

Recursive and Iterative Multithreaded Algorithms for Pricing American Securities. - Ruppa K. Thulasiram; Christopher T. Downing; Guang R. Gao (PDPTA, 2000)

Multithreaded Algorithms for Pricing a Class of Complex Options. - Ruppa K. Thulasiram; Lubomir Litov; Hassan Nojumi; Christopher T. Downing; Guang R. Gao (IPDPS, 2001)

Performance Analysis of a Multithreaded Pricing Algorithm on Cilk. - Ruppa K. Thulasiram; Parimala Thulasiraman; Chima Adiele; Dmitri A. Bondarenko (HPCS, 2002)

Performance Evaluation of Parallel Algorithms for Pricing Multidimensional. - Ruppa K. Thulasiram; Dmitri A. Bondarenko (ICPP Workshops, 2002)

Forecasting Stock Prices using Neural Networks on a Beowulf Cluster. - Rashedur M. Rahman; Ruppa K. Thulasiram; Parimala Thulasiraman (IASTED PDCS, 2002)

Implementation and evaluation of a communication intensive application on the EARTH multithreaded system. - Kevin B. Theobald; Rishi Kumar; Gagan Agrawal; Gerd Heber; Ruppa K. Thulasiram; Guang R. Gao (Concurr. Comput. Pract. Exp., 2002)

Implementation of Ant Colony Optimization Algorithm for Mobile Ad hoc Network Applications: OpenMP Experiences. - Mohammad Towhidul Islam; Parimala Thulasiraman; Ruppa K. Thulasiram (Parallel Distributed Comput. Pract., 2002)

Neural Network Training Algorithms on Parallel Architectures for Finance Applications. - Ruppa K. Thulasiram; Rashedur M. Rahman; Parimala Thulasiraman (ICPP Workshops, 2003)

A Parallel Ant Colony Optimization Algorithm for All-Pair Routing in MANETs. - Mohammad Towhidul Islam; Parimala Thulasiraman; Ruppa K. Thulasiram (IPDPS, 2003)

Performance Evaluation of a Multithreaded Fast Fourier Transform Algorithm for Derivative Pricing. - Ruppa K. Thulasiram; Parimala Thulasiraman (J. Supercomput., 2003)

An OpenMP Implementation of FTCS Method for Reduced Black-Sholes Equation. - Amit Chhabra; Parimala Thulasiraman; Mohammad Towhidul Islam; Ruppa K. Thulasiram (HPCS, 2004)

A Second Order L0 Stable Algorithm for Evaluating European Options. - Ruppa K. Thulasiram; Chen Zhen; Abba B. Gumel (HPCS, 2004)

Fast Fourier Transform for Option Pricing: Improved Mathematical Modeling and Design of Efficient Parallel Algorithm. - Sajib Barua; Ruppa K. Thulasiram; Parimala Thulasiraman (ICCSA (3), 2004)

Message from the Chairs: International Workshop on High Performance Scientific and Engineering Computing. - Laurence Tianruo Yang; Ruppa K. Thulasiram; Jun Zhang; Parimala Thulasiraman (ICPP Workshops, 2004)

Improving Data Locality in Parallel Fast Fourier Transform Algorithm for Pricing Financial Derivatives. - Sajib Barua; Ruppa K. Thulasiram; Parimala Thulasiraman (IPDPS, 2004)

High Performance Computing for a Financial Application Using Fast Fourier Transform. - Sajib Barua; Ruppa K. Thulasiram; Parimala Thulasiraman (Euro-Par, 2005)

Parallel Algorithm for Pricing American Asian Options with Multi-Dimensional Assets. - Kai Huang; Ruppa K. Thulasiram (HPCS, 2005)

Distributed Quasi-Monte Carlo Algorithm for Option Pricing on HNOWs Using mpC. - Gong Chen; Parimala Thulasiraman; Ruppa K. Thulasiram (Annual Simulation Symposium, 2006)

An Efficient System for Detecting Outliers from Financial Time Series. - Carson Kai-Sang Leung; Ruppa K. Thulasiram; Dmitri A. Bondarenko (BNCOD, 2006)

A Software Architecture Framework for On-Line Option Pricing. - Kiran Kola; Amit Chhabra; Ruppa K. Thulasiram; Parimala Thulasiraman (ISPA, 2006)

Exploring Financial Applications on Many-Core-on-a-Chip Architecture: A First Experiment. - Weirong Zhu; Parimala Thulasiraman; Ruppa K. Thulasiram; Guang R. Gao (ISPA Workshops, 2006)

A second order L0 stable algorithm for evaluating European options. - Ruppa K. Thulasiram; Chen Zhen; Amit Chhabra; Parimala Thulasiraman; Abba B. Gumel (Int. J. High Perform. Comput. Netw., 2006)

G-FRoM: Grid Resources Pricing A Fuzzy Real Option Model. - David Allenotor; Ruppa K. Thulasiram (eScience, 2007)

A Grid Resources Valuation Model Using Fuzzy Real Option. - David Allenotor; Ruppa K. Thulasiram (ISPA, 2007)

Mathematical Model of Ice Melting on Transmission Lines. - S. Yu. Sadov; P. N. Shivakumar; Dmitry K. Firsov; S. H. Lui 001; Ruppa K. Thulasiram (J. Math. Model. Algorithms, 2007)

PACONET: imProved Ant Colony Optimization Routing Algorithm for Mobile Ad Hoc NETworks. - Eseosa Osagie; Parimala Thulasiraman; Ruppa K. Thulasiram (AINA, 2008)

A bioinspired algorithm to price options. - Sameer Kumar 005; Ruppa K. Thulasiram; Parimala Thulasiraman (C3S2E, 2008)

Grid resources pricing: A novel financial option based quality of service-profit quasi-static equilibrium model. - David Allenotor; Ruppa K. Thulasiram (GRID, 2008)

Exploiting Data Locality in FFT Using Indirect Swap Network on Cell/B.E. - Meilian Xu; Parimala Thulasiraman; Ruppa K. Thulasiram (HPCS, 2008)

Option pricing using Particle Swarm Optimization. - Girish K. Jha; Sameer Kumar 005; Hari Prasain; Parimala Thulasiraman; Ruppa K. Thulasiram (C3S2E, 2009)

Ant Colony Optimization to price exotic options. - Sameer Kumar 005; Gitika Chadha; Ruppa K. Thulasiram; Parimala Thulasiraman (IEEE Congress on Evolutionary Computation, 2009)

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 (GPC, 2009)

Integrating a financial option based model with GridSim for pricing Grid resources. - David Allenotor; Ruppa K. Thulasiram (GRID, 2009)

PSO based neural network for time series forecasting. - Girish K. Jha; Parimala Thulasiraman; Ruppa K. Thulasiram (IJCNN, 2009)

A novel application of option pricing to distributed resources management. - David Allenotor; Ruppa K. Thulasiram; Parimala Thulasiraman (IPDPS, 2009)

An Aggregated Ant Colony Optimization approach for pricing options. - Yeshwanth Udayshankar; Sameer Kumar 005; Girish K. Jha; Ruppa K. Thulasiram; Parimala Thulasiraman (IPDPS, 2009)

HOPNET: A hybrid ant colony optimization routing algorithm for mobile ad hoc network. - Jianping Wang; Eseosa Osagie; Parimala Thulasiraman; Ruppa K. Thulasiram (Ad Hoc Networks, 2009)

A software architecture framework for on-line option pricing. - Kiran Kola; Ruppa K. Thulasiram; Parimala Thulasiraman (J. Supercomput., 2009)

Particle swarm optimization algorithm for option pricing: extended abstract. - Hari Prasain; Parimala Thulasiraman; Ruppa K. Thulasiram; Girish K. Jha (GECCO (Companion), 2010)

Evaluation of a Financial Option Based Pricing Model for Grid Resources Management: Simulation vs. Real Data. - David Allenotor; Ruppa K. Thulasiram (HPCC, 2010)

Option Pricing on the GPU. - Steven Solomon; Ruppa K. Thulasiram; Parimala Thulasiraman (HPCC, 2010)

Exploiting Parallelism in Iterative Irregular Maxflow Computations on GPU Accelerators. - Steven Solomon; Parimala Thulasiraman; Ruppa K. Thulasiram (HPCC, 2010)

A parallel Particle swarm optimization algorithm for option pricing. - Hari Prasain; Girish K. Jha; Parimala Thulasiraman; Ruppa K. Thulasiram (IPDPS Workshops, 2010)

Preface. - Ruppa K. Thulasiram (Parallel Comput., 2010)

Pricing transmission rights using ant colony optimization. - Sameer Kumar Singh; Ruppa K. Thulasiram; Parimala Thulasiraman (GECCO (Companion), 2011)

Collaborative multi-swarm PSO for task matching using graphics processing units. - Steven Solomon; Parimala Thulasiraman; Ruppa K. Thulasiram (GECCO, 2011)

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 (HPCC, 2011)

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 (HPCC, 2011)

Statistical Modeling of Spot Instance Prices in Public Cloud Environments. - Bahman Javadi; Ruppa K. Thulasiram; Rajkumar Buyya (UCC, 2011)

Performance Analysis of Sequential and Parallel Neural Network Algorithm for Stock Price Forecasting. - Rashedur M. Rahman; Ruppa K. Thulasiram; Parimala Thulasiraman (Int. J. Grid High Perform. Comput., 2011)

Grid resources valuation with fuzzy real option. - David Allenotor; Ruppa K. Thulasiram (Int. J. High Perform. Comput. Netw., 2011)

Pricing Cloud Compute Commodities: A Novel Financial Economic Model. - Bhanu Sharma; Ruppa K. Thulasiram; Parimala Thulasiraman; Saurabh Kumar Garg 001; Rajkumar Buyya (CCGRID, 2012)

Financial Option Pricing on APU. - Matthew Doerksen; Steven Solomon; Parimala Thulasiraman; Ruppa K. Thulasiram (IC3, 2012)

Financial Application as a Software Service on Cloud. - Saurabh Kumar Garg 001; Bhanu Sharma; Rodrigo N. Calheiros; Ruppa K. Thulasiram; Parimala Thulasiraman; Rajkumar Buyya (IC3, 2012)

Optimizing Option Pricing Algorithms and Profiling Power Consumption on VLIW APU Architecture. - Matthew Doerksen; Parimala Thulasiraman; Ruppa K. Thulasiram (ISPA, 2012)

Portfolio Management Using Particle Swarm Optimization on GPU. - Bhanu Sharma; Ruppa K. Thulasiram; Parimala Thulasiraman (ISPA, 2012)

Financial Option Market Model for Federated Cloud Environments. - Adel Nadjaran Toosi; Ruppa K. Thulasiram; Rajkumar Buyya (UCC, 2012)

MAZACORNET: Mobility aware zone based ant colony optimization routing for VANET. - Himani Rana; Parimala Thulasiraman; Ruppa K. Thulasiram (IEEE Congress on Evolutionary Computation, 2013)

Memory Efficient Multi-Swarm PSO Algorithm in OpenCL on an APU. - Wayne Franz; Parimala Thulasiraman; Ruppa K. Thulasiram (ICA3PP (1), 2013)

A Novel Architecture for Financial Investment Services on a Private Cloud. - Ranjan Saha; Bhanu Sharma; Ruppa K. Thulasiram; Parimala Thulasiraman (ICA3PP (1), 2013)

A novel application of ACO to price transmission rights in electricity markets. - Sameer Kumar Singh; Ruppa K. Thulasiram; Parimala Thulasiraman (NaBIC, 2013)

Effects of Segmented Finite Difference Time Domain on GPU. - Jose Juan Mijares Chan; Gagan Battoo; Parimala Thulasiraman; Ruppa K. Thulasiram (PPAM (2), 2013)

Optimization of an OpenCL-Based Multi-swarm PSO Algorithm on an APU. - Wayne Franz; Parimala Thulasiraman; Ruppa K. Thulasiram (PPAM (2), 2013)

A load-rebalance PSO heuristic for task matching in heterogeneous computing systems. - M. S. Sidhu; Parimala Thulasiraman; Ruppa K. Thulasiram (SIS, 2013)

Characterizing spot price dynamics in public cloud environments. - Bahman Javadi; Ruppa K. Thulasiram; Rajkumar Buyya (Future Gener. Comput. Syst., 2013)

A fuzzy Grid-QoS framework for obtaining higher grid resources availability. - David Allenotor; Ruppa K. Thulasiram (J. Supercomput., 2013)

Normalized particle swarm optimization for complex chooser option pricing on graphics processing unit. - Bhanu Sharma; Ruppa K. Thulasiram; Parimala Thulasiraman (J. Supercomput., 2013)

Scheduling Using Multiple Swarm Particle Optimization with Memetic Features on Graphics Processing Units. - Steven Solomon; Parimala Thulasiraman; Ruppa K. Thulasiram (Massively Parallel Evolutionary Computation on GPGPUs, 2013)

Portfolio diversification using ant brood sorting clustering. - Olayinka Idowu Oduntan; Parimala Thulasiraman; Ruppa K. Thulasiram (NaBIC, 2014)

A Discrete Time Financial Option Pricing Model for Cloud Services. - David Allenotor; Ruppa K. Thulasiram (UIC/ATC/ScalCom, 2014)

Special issue on computational finance. - Ruppa K. Thulasiram; Manish Parashar (Concurr. Comput. Pract. Exp., 2014)

Twitter sentiment classification using machine learning techniques for stock markets. - Mohammed Qasem; Ruppa K. Thulasiram; Parimala Thulasiraman (ICACCI, 2015)

Parallel Ant Brood Graph Partitioning in Julia. - Jose Juan Mijares Chan; Yuyin Mao; Ying Ying Liu; Parimala Thulasiraman; Ruppa K. Thulasiram (PPAM (2), 2015)

Stationarity Enforcement of Accelerator Based TRNG by Genetic Algorithm. - Jose Juan Mijares Chan; Parimala Thulasiraman; Gabriel Thomas; Ruppa K. Thulasiram (TrustCom/BigDataSE/ISPA (1), 2015)

Exploration/exploitation of a hybrid-enhanced MPSO-GA algorithm on a fused CPU-GPU architecture. - Wayne Franz; Parimala Thulasiraman; Ruppa K. Thulasiram (Concurr. Comput. Pract. Exp., 2015)

Clabacus: A Risk-Adjusted Cloud Resources Pricing Model Using Financial Option Theory. - Bhanu Sharma; Ruppa K. Thulasiram; Parimala Thulasiraman; Rajkumar Buyya (IEEE Trans. Cloud Comput., 2015)

Parallelizing Active Memory Ants with MapReduce for Clustering Financial Time Series Data. - Ying Ying Liu; Parimala Thulasiraman; Ruppa K. Thulasiram (BDCloud-SocialCom-SustainCom, 2016)

Pricing European Options Using a Novel Multi-objective Firefly Algorithm. - Gobind Preet Singh; Ruppa K. Thulasiram; Parimala Thulasiraman (IntelliSys (1), 2016)

Non-dominant sorting Firefly algorithm for pricing American option. - Gobind Preet Singh; Ruppa K. Thulasiram; Parimala Thulasiraman (SSCI, 2016)

Nature-inspired soft computing for financial option pricing using high-performance analytics. - Ruppa K. Thulasiram; Parimala Thulasiraman; Hari Prasain; Girish K. Jha (Concurr. Comput. Pract. Exp., 2016)

An Enhanced Chaos-Based Firefly Model for Parkinson's Disease Diagnosis and Classification. - Sujata Dash; Ruppa K. Thulasiram; Parimala Thulasiraman (ICIT, 2017)

Enhancing Ant Brood Clustering with Adaptive Radius of Perception and Non-parametric Estimation on Multi-core Architectures. - Mohammed Qasem; Ying Ying Liu; Ziyue Wang 003; Parimala Thulasiraman; Ruppa K. Thulasiram (INCoS, 2017)

A parallel firefly meta-heuristics algorithm for financial option pricing. - Kevin Mather; Parimala Thulasiraman; Ruppa K. Thulasiram; Sujata Dash (SSCI, 2017)

Constrained ant brood clustering algorithm with adaptive radius: A case study on aspect based sentiment analysis. - Mohammed Qasem; Parimala Thulasiraman; Ruppa K. Thulasiram (SSCI, 2017)

Guest Editorial: Special Issue on Green Pervasive and Ubiquitous Systems. - Hai Jiang 003; Fangwing Liu; Ruppa K. Thulasiram; Erol Gelenbe (IEEE Syst. J., 2017)

A Modified Genetic Learning PSO for Task Matching in Grid Environment. - Eid Albalawi; Parimala Thulasiraman; Ruppa K. Thulasiram (CEC, 2018)

Financial Application on an Openstack Based Private Cloud. - Deepak Bajpai; Muskan Vinayak; Ruppa K. Thulasiram; Parimala Thulasiraman (IDCS, 2018)

A Self Fixing Intelligent Ant Clustering Algorithm For Graphs. - Ying Ying Liu; Parimala Thulasiraman; Ruppa K. Thulasiram (IJCNN, 2018)

A Novel Heuristics for Validating Pairwise Transactions on Cryptocurrencies. - Saulo dos Santos; Daniyal Khowaja; Muskan Vinayak; Ruppa K. Thulasiram; Parimala Thulasiraman (iThings/GreenCom/CPSCom/SmartData, 2018)

Analyzing Financial Smart Contracts for Blockchain. - Muskan Vinayak; Amrit Pal Singh Panesar; Saulo dos Santos; Ruppa K. Thulasiram; Parimala Thulasiraman; Srimantoorao Semischetty Appadoo (iThings/GreenCom/CPSCom/SmartData, 2018)

HGLPSO: Hybrid Genetic Learning PSO and its Applications to Task Matching on Large-Scale Systems. - Eid Albalawi; Parimala Thulasiraman; Ruppa K. Thulasiram (SSCI, 2018)

Hybrid Deep Learning Model for Stock Price Prediction. - Mohammad Asiful Hossain; Rezaul Karim; Ruppa K. Thulasiram; Neil D. B. Bruce; Yang Wang 003 (SSCI, 2018)

Ant Brood Clustering on Intel Xeon Multi-core: Challenges and Strategies. - Ziyue Wang 003; Ying Ying Liu; Parimala Thulasiraman; Ruppa K. Thulasiram (SSCI, 2018)

An Efficient Miner Strategy for Selecting Cryptocurrency Transactions. - Saulo dos Santos; Chukwuka Chukwuocha; Shahin Kamali; Ruppa K. Thulasiram (Blockchain, 2019)

Effect of PSO Communication Topologies on Task Matching in Grid Computing. - Eid Albalawi; Fujie Chen; Ruppa K. Thulasiram; Parimala Thulasiraman (CEC, 2019)

Fuzzy Value-at-Risk Forecasts Using a Novel Data-Driven Neuro Volatility Predictive Model. - Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram; Zimo Zhu; Mohammed Erfanul Hoque; Nalini Ravishanker (COMPSAC (2), 2019)

Fuzzy Option Pricing Using a Novel Data-Driven Feed Forward Neural Network Volatility Model. - A. Thavaneswaran; Ruppa K. Thulasiram; Julieta Frank; Zimo Zhu; Manmohit Singh (FUZZ-IEEE, 2019)

A Dynamic Traffic Awareness System for Urban Driving. - Ziyue Wang 003; Parimala Thulasiraman; Ruppa K. Thulasiram (iThings/GreenCom/CPSCom/SmartData, 2019)

Modified Firefly Algorithm With Chaos Theory for Feature Selection: A Predictive Model for Medical Data. - Sujata Dash; Ruppa K. Thulasiram; Parimala Thulasiraman (Int. J. Swarm Intell. Res., 2019)

Validating pairwise transactions on cryptocurrencies: a novel heuristics and network simulation. - Saulo dos Santos; Muskan Vinayak; Ruppa K. Thulasiram; Parimala Thulasiraman; Shahin Kamali (J. Bank. Financial Technol., 2019)

Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge. - Sukhpal Singh Gill; Peter Garraghan; Vlado Stankovski; Giuliano Casale; Ruppa K. Thulasiram; Soumya K. Ghosh 001; Kotagiri Ramamohanarao; Rajkumar Buyya (J. Syst. Softw., 2019)

A Micro-Level Compensation-Based Cost Model for Resource Allocation in a Fog Environment. - Sudheer Kumar Battula; Saurabh Kumar Garg 001; Ranesh Kumar Naha; Parimala Thulasiraman; Ruppa K. Thulasiram (Sensors, 2019)

Candidate Set Formation Policy for Mining Pools. - Saulo dos Santos; Shahin Kamali; Ruppa K. Thulasiram (Blockchain, 2020)

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 (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)

Portfolio Optimization Using a Novel Data-Driven EWMA Covariance Model with Big Data. - Zimo Zhu; Aerambamoorthy Thavaneswaran; Alexander Paseka; Julieta Frank; Ruppa K. Thulasiram (COMPSAC, 2020)

Novel Data-Driven Fuzzy Algorithmic Volatility Forecasting Models with Applications to Algorithmic Trading. - A. Thavaneswaran; You Liang; Zimo Zhu; Ruppa K. Thulasiram (FUZZ-IEEE, 2020)

Ensuring Resource Availability with MRU/FRU Caching: A Dew-Blockcloud Model. - Chukwuka Chukwuocha; Ruppa K. Thulasiram; Parimala Thulasiraman; Yingwei Wang 002 (MIPRO, 2020)

Data-Driven Neuro ARCH (DDNA) volatility model for Option Pricing on Cloud Resources. - Manmohit Singh; Ruppa K. Thulasiram; Aerambamoorthy Thavaneswaran (SSCI, 2020)

COVID-19 Early Symptom Prediction Using Blockchain and Machine Learning. - Sarada Kiranmayee Tadepalli; Ruppa K. Thulasiram (BLOCKCHAIN, 2021)

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)

Portfolio Optimization Using Novel Intelligent Probabilistic Forecasts of Risk Measures. - You Liang; Aerambamoorthy Thavaneswaran; Alexander Paseka; Ruppa K. Thulasiram; Ethan Johnson-Skinner (COMPSAC, 2021)

Novel Data-Driven Resilient Portfolio Risk Measures Using Sign and Volatility Correlations. - Aerambamoorthy Thavaneswaran; You Liang; Na Yu; 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)

A novel data-driven neuro arch (DDNA) model for option pricing on cloud. - Manmohit Singh; Ruppa K. Thulasiram; A. Thavaneswaran (J. Bank. Financial Technol., 2021)

Trust and scalable blockchain-based message exchanging scheme on VANET. - Chukwuka Chukwuocha; Parimala Thulasiraman; Ruppa K. Thulasiram (Peer-to-Peer Netw. Appl., 2021)

Guest Editorial Introduction to the Special Section on Blockchain in Future Networks and Vertical Industries. - Yulei Wu; Zheng Yan 002; Ruppa K. Thulasiram; Mohammed Atiquzzaman (IEEE Trans. Netw. Sci. Eng., 2021)

Comparison of Fuzzy Risk Forecast Intervals for Cryptocurrencies. - Sulalitha Bowala; Japjeet Singh; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram; Saumen Mandal (CIFEr, 2022)

Intelligent Probabilistic Forecasts of VIX and its Volatility using Machine Learning Methods. - Aerambamoorthy Thavaneswaran; You Liang; Sanjiv Das; Ruppa K. Thulasiram; Janakumar Bhanushali (CIFEr, 2022)

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 (COMPSAC, 2022)

Data-Driven and Neuro-Volatility Fuzzy Forecasts for Cryptocurrencies. - Japjeet Singh; Sulalitha Bowala; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram; Saumen Mandal (FUZZ-IEEE, 2022)

LSTM based Algorithmic Trading model for Bitcoin. - Japjeet Singh; Ruppa K. Thulasiram; Aerambamoorthy Thavaneswaran (SSCI, 2022)

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)

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)

Comparison of Trading Strategies: Dual Momentum vs Pairs Trading. - Japjeet Singh; Ruppa K. Thulasiram; Aerambamoorthy Thavaneswaran; Alex Paseka (COMPSAC, 2023)

Deep Learning-Based Credit Score Prediction: Hybrid LSTM-GRU Model. - Golnaz Sababipour ASL; Kiarash Shamsi; Ruppa K. Thulasiram; Cuneyt Gurcan Akcora; Carson K. Leung (SSCI, 2023)

Stock Volatility Forecasting with Transformer Network. - Golnaz Sababipour ASL; Ruppa K. Thulasiram; Aerambamoorthy Thavaneswaran (SSCI, 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)

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)

On the Impact of the Lightning Network on Bitcoin Transaction Fees and Network Value. - Saulo dos Santos; Japjeet Singh; Bakhshish Singh Dhillon; Ruppa K. Thulasiram; Cuneyt Akcora; Shahin Kamali (Blockchain, 2024)

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)

Synchronous Set-Based Particle Swarm Optimization: Heuristics for Portfolio Optimization. - Ashish Lakhmani; Ruppa K. Thulasiram; Parimala Thulasiraman (COMPSAC, 2024)

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 (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)

Novel Data-Driven Dynamic Network Science Application in Algorithmic Trading. - Thimani Ranathungage; Aerambamoorthy Thavaneswaran; You Liang; Ruppa K. Thulasiram; Alex Paseka (COMPSAC, 2024)

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 (COMPSAC, 2024)

Nature-Inspired Portfolio Diversification Using Ant Brood Clustering. - Ashish Lakhmani; Ruppa K. Thulasiram; Parimala Thulasiraman (EvoApplications@EvoStar, 2024)

Parallel Co-Evolutionary Algorithm and Implementation on CPU-GPU Multicore. - Zhuoran Sun; Ying Ying Liu; Parimala Thulasiraman; Ruppa K. Thulasiram (GECCO Companion, 2024)

Second Layer Network Impact on Bitcoin Mining Fees and Network Value. - Saulo dos Santos; Japjeet Singh; Bakhshish Singh Dhillon; Ruppa K. Thulasiram; Shahin Kamali (ICBC, 2024)

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)

Leveraging Large Language Models and Retrieval-Augmented Generation for Enhanced Multi-Asset Portfolio Construction. - Ahmadreza Hajaghaie; Ruppa K. Thulasiram (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)

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)

Adapting Hybridization of Deep Learning Algorithms for High-Frequency Datasets. - Joy Dip Das; Avanthi Saumyamala; Sulalitha Bowala; Ruppa K. Thulasiram; Aerambamoorthy Thavaneswaran (COMPSAC, 2025)

Hybrid LSTM/GRU and Support Vector Regression Models for Stock Index Prediction. - Joy Dip Das; Ruppa K. Thulasiram; Sulalitha Bowala; Avanthi Saumyamala; Aerambamoorthy Thavaneswaran (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)

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 (COMPSAC, 2025)

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 (COMPSAC, 2025)