Ruppa K. Thulasiram

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 59

Top Venues

SSCI

COMPSAC

FUZZ-IEEE

Concurr. Comput. Pract. Exp.

Publications

Ashish Lakhmani, Ruppa K. Thulasiram, Parimala Thulasiraman
Nature-Inspired Portfolio Diversification Using Ant Brood Clustering. EvoApplications@EvoStar (2024)
Zhuoran Sun, Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram
Parallel Co-Evolutionary Algorithm and Implementation on CPU-GPU Multicore. GECCO Companion (2024)
Golnaz Sababipour ASL, Kiarash Shamsi, Ruppa K. Thulasiram, Cuneyt Akcora, Carson Leung
Deep Learning-Based Credit Score Prediction: Hybrid LSTM-GRU Model. SSCI (2023)
Md. Erfanul Hoque, Sulalitha Bowala, Alex Paseka, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram
Fuzzy Option Pricing for Jump Diffusion Model using Neuro Volatility Models. COMPSAC (2023)
Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran
Portfolio Diversification with Clustering Techniques. SSCI (2023)
Joydip Das, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran
Resilient Portfolio Optimization using Traditional and Data-Driven Models for Cryptocurrencies and Stocks. COMPSAC (2023)
Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Thimani Ranathungage, Joy Dip Das
High Frequency Data-Driven Dynamic Portfolio Optimization for Cryptocurrencies. SSCI (2023)
Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Md. Erfanul Hoque, Alex Paseka
Superiority of Neural Networks for Trading Volume Forecasts of Stocks and Cryptocurrencies. SSCI (2023)
Japjeet Singh, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran, Alex Paseka
Comparison of Trading Strategies: Dual Momentum vs Pairs Trading. COMPSAC (2023)
Golnaz Sababipour Asl, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran
Stock Volatility Forecasting with Transformer Network. SSCI (2023)
Aerambamoorthy Thavaneswaran, You Liang, Sanjiv Das, Ruppa K. Thulasiram, Janakumar Bhanushali
Intelligent Probabilistic Forecasts of VIX and its Volatility using Machine Learning Methods. CIFEr (2022)
Sulalitha Bowala, Japjeet Singh, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Saumen Mandal
Comparison of Fuzzy Risk Forecast Intervals for Cryptocurrencies. CIFEr (2022)
Saulo dos Santos, Japjeet Singh, Ruppa K. Thulasiram, Shahin Kamali, Louis Sirico, Lisa Loud
A New Era of Blockchain-Powered Decentralized Finance (DeFi) - A Review. COMPSAC (2022)
Japjeet Singh, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran
LSTM based Algorithmic Trading model for Bitcoin. SSCI (2022)
Japjeet Singh, Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Saumen Mandal
Data-Driven and Neuro-Volatility Fuzzy Forecasts for Cryptocurrencies. FUZZ-IEEE (2022)
Chukwuka Chukwuocha, Parimala Thulasiraman, Ruppa K. Thulasiram
Trust and scalable blockchain-based message exchanging scheme on VANET. Peer-to-Peer Netw. Appl. 14 (5) (2021)
Aerambamoorthy Thavaneswaran, You Liang, Alex Paseka, Md. Erfanul Hoque, Ruppa K. Thulasiram
A Novel Data Driven Machine Learning Algorithm For Fuzzy Estimates of Optimal Portfolio Weights and Risk Tolerance Coefficient. FUZZ-IEEE (2021)
Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Md. Erfanul Hoque, Srimantoorao Semischetty Appadoo
Data-Driven Fuzzy Demand Forecasting Models for Resilient Supply Chains. SSCI (2021)
Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Srimantoorao Semischetty Appadoo, Ruppa K. Thulasiram, Behrouz Banitalebi
A Novel Dynamic Demand Forecasting Model for Resilient Supply Chains using Machine Learning. COMPSAC (2021)
You Liang, Aerambamoorthy Thavaneswaran, Alexander Paseka, Ruppa K. Thulasiram, Ethan Johnson-Skinner
Portfolio Optimization Using Novel Intelligent Probabilistic Forecasts of Risk Measures. COMPSAC (2021)
Manmohit Singh, Ruppa K. Thulasiram, A. Thavaneswaran
A novel data-driven neuro arch (DDNA) model for option pricing on cloud. J. Bank. Financial Technol. 5 (2) (2021)
Aerambamoorthy Thavaneswaran, You Liang, Na Yu, Alex Paseka, Ruppa K. Thulasiram
Novel Data-Driven Resilient Portfolio Risk Measures Using Sign and Volatility Correlations. COMPSAC (2021)
Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Alex Paseka, Ruppa K. Thulasiram
An Algorithmic Multiple Trading Strategy Using Data-Driven Random Weights Innovation Volatility. COMPSAC (2021)
Sarada Kiranmayee Tadepalli, Ruppa K. Thulasiram
COVID-19 Early Symptom Prediction Using Blockchain and Machine Learning. BLOCKCHAIN (2021)
Yulei Wu, Zheng Yan, Ruppa K. Thulasiram, Mohammed Atiquzzaman
Guest Editorial Introduction to the Special Section on Blockchain in Future Networks and Vertical Industries. IEEE Trans. Netw. Sci. Eng. 8 (2) (2021)
Zimo Zhu, Aerambamoorthy Thavaneswaran, Alexander Paseka, Julieta Frank, Ruppa K. Thulasiram
Portfolio Optimization Using a Novel Data-Driven EWMA Covariance Model with Big Data. COMPSAC (2020)
You Liang, Aerambamoorthy Thavaneswaran, Zimo Zhu, Ruppa K. Thulasiram, Md. Erfanul Hoque
Data-Driven Adaptive Regularized Risk Forecasting. COMPSAC (2020)
Manmohit Singh, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran
Data-Driven Neuro ARCH (DDNA) volatility model for Option Pricing on Cloud Resources. SSCI (2020)
You Liang, Aerambamoorthy Thavaneswaran, Alexander Paseka, Zimo Zhu, Ruppa K. Thulasiram
A Novel Dynamic Data-Driven Algorithmic Trading Strategy Using Joint Forecasts of Volatility and Stock Price. COMPSAC (2020)
Saulo dos Santos, Shahin Kamali, Ruppa K. Thulasiram
Candidate Set Formation Policy for Mining Pools. Blockchain (2020)
A. Thavaneswaran, You Liang, Zimo Zhu, Ruppa K. Thulasiram
Novel Data-Driven Fuzzy Algorithmic Volatility Forecasting Models with Applications to Algorithmic Trading. FUZZ-IEEE (2020)
You Liang, Aerambamoorthy Thavaneswaran, Na Yu, Md. Erfanul Hoque, Ruppa K. Thulasiram
Dynamic Data Science Applications in Optimal Profit Algorithmic Trading. COMPSAC (2020)
Chukwuka Chukwuocha, Ruppa K. Thulasiram, Parimala Thulasiraman, Yingwei Wang
Ensuring Resource Availability with MRU/FRU Caching: A Dew-Blockcloud Model. MIPRO (2020)
Sukhpal Singh Gill, Peter Garraghan, Vlado Stankovski, Giuliano Casale, Ruppa K. Thulasiram, Soumya K. Ghosh, Kotagiri Ramamohanarao, Rajkumar Buyya
Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge. J. Syst. Softw. 155 (2019)
Ziyue Wang, Parimala Thulasiraman, Ruppa K. Thulasiram
A Dynamic Traffic Awareness System for Urban Driving. iThings/GreenCom/CPSCom/SmartData (2019)
A. Thavaneswaran, Ruppa K. Thulasiram, Julieta Frank, Zimo Zhu, Manmohit Singh
Fuzzy Option Pricing Using a Novel Data-Driven Feed Forward Neural Network Volatility Model. FUZZ-IEEE (2019)
Sudheer Kumar Battula, Saurabh Kumar Garg, Ranesh Kumar Naha, Parimala Thulasiraman, Ruppa K. Thulasiram
A Micro-Level Compensation-Based Cost Model for Resource Allocation in a Fog Environment. Sensors 19 (13) (2019)
Sujata Dash, Ruppa K. Thulasiram, Parimala Thulasiraman
Modified Firefly Algorithm With Chaos Theory for Feature Selection: A Predictive Model for Medical Data. Int. J. Swarm Intell. Res. 10 (2) (2019)
Eid Albalawi, Fujie Chen, Ruppa K. Thulasiram, Parimala Thulasiraman
Effect of PSO Communication Topologies on Task Matching in Grid Computing. CEC (2019)
Saulo dos Santos, Chukwuka Chukwuocha, Shahin Kamali, Ruppa K. Thulasiram
An Efficient Miner Strategy for Selecting Cryptocurrency Transactions. Blockchain (2019)
Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Zimo Zhu, Mohammed Erfanul Hoque, Nalini Ravishanker
Fuzzy Value-at-Risk Forecasts Using a Novel Data-Driven Neuro Volatility Predictive Model. COMPSAC (2) (2019)
Saulo dos Santos, Muskan Vinayak, Ruppa K. Thulasiram, Parimala Thulasiraman, Shahin Kamali
Validating pairwise transactions on cryptocurrencies: a novel heuristics and network simulation. J. Bank. Financial Technol. 3 (1) (2019)
Eid Albalawi, Parimala Thulasiraman, Ruppa K. Thulasiram
HGLPSO: Hybrid Genetic Learning PSO and its Applications to Task Matching on Large-Scale Systems. SSCI (2018)
Eid Albalawi, Parimala Thulasiraman, Ruppa K. Thulasiram
A Modified Genetic Learning PSO for Task Matching in Grid Environment. CEC (2018)
Saulo dos Santos, Daniyal Khowaja, Muskan Vinayak, Ruppa K. Thulasiram, Parimala Thulasiraman
A Novel Heuristics for Validating Pairwise Transactions on Cryptocurrencies. iThings/GreenCom/CPSCom/SmartData (2018)
Mohammad Asiful Hossain, Rezaul Karim, Ruppa K. Thulasiram, Neil D. B. Bruce, Yang Wang
Hybrid Deep Learning Model for Stock Price Prediction. SSCI (2018)
Deepak Bajpai, Muskan Vinayak, Ruppa K. Thulasiram, Parimala Thulasiraman
Financial Application on an Openstack Based Private Cloud. IDCS (2018)
Muskan Vinayak, Amrit Pal Singh Panesar, Saulo dos Santos, Ruppa K. Thulasiram, Parimala Thulasiraman, Srimantoorao Semischetty Appadoo
Analyzing Financial Smart Contracts for Blockchain. iThings/GreenCom/CPSCom/SmartData (2018)
Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram
A Self Fixing Intelligent Ant Clustering Algorithm For Graphs. IJCNN (2018)
Ziyue Wang, Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram
Ant Brood Clustering on Intel Xeon Multi-core: Challenges and Strategies. SSCI (2018)
Mohammed Qasem, Ying Ying Liu, Ziyue Wang, Parimala Thulasiraman, Ruppa K. Thulasiram
Enhancing Ant Brood Clustering with Adaptive Radius of Perception and Non-parametric Estimation on Multi-core Architectures. INCoS (2017)
Sujata Dash, Ruppa K. Thulasiram, Parimala Thulasiraman
An Enhanced Chaos-Based Firefly Model for Parkinson's Disease Diagnosis and Classification. ICIT (2017)
Mohammed Qasem, Parimala Thulasiraman, Ruppa K. Thulasiram
Constrained ant brood clustering algorithm with adaptive radius: A case study on aspect based sentiment analysis. SSCI (2017)
Kevin Mather, Parimala Thulasiraman, Ruppa K. Thulasiram, Sujata Dash
A parallel firefly meta-heuristics algorithm for financial option pricing. SSCI (2017)
Hai Jiang, Fangwing Liu, Ruppa K. Thulasiram, Erol Gelenbe
Guest Editorial: Special Issue on Green Pervasive and Ubiquitous Systems. IEEE Syst. J. 11 (2) (2017)
Ruppa K. Thulasiram, Parimala Thulasiraman, Hari Prasain, Girish K. Jha
Nature-inspired soft computing for financial option pricing using high-performance analytics. Concurr. Comput. Pract. Exp. 28 (3) (2016)
Gobind Preet Singh, Ruppa K. Thulasiram, Parimala Thulasiraman
Non-dominant sorting Firefly algorithm for pricing American option. SSCI (2016)
Gobind Preet Singh, Ruppa K. Thulasiram, Parimala Thulasiraman
Pricing European Options Using a Novel Multi-objective Firefly Algorithm. IntelliSys (1) (2016)
Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram
Parallelizing Active Memory Ants with MapReduce for Clustering Financial Time Series Data. BDCloud-SocialCom-SustainCom (2016)
Jose Juan Mijares Chan, Parimala Thulasiraman, Gabriel Thomas, Ruppa K. Thulasiram
Stationarity Enforcement of Accelerator Based TRNG by Genetic Algorithm. TrustCom/BigDataSE/ISPA (1) (2015)
Wayne Franz, Parimala Thulasiraman, Ruppa K. Thulasiram
Exploration/exploitation of a hybrid-enhanced MPSO-GA algorithm on a fused CPU-GPU architecture. Concurr. Comput. Pract. Exp. 27 (4) (2015)
Mohammed Qasem, Ruppa K. Thulasiram, Parimala Thulasiraman
Twitter sentiment classification using machine learning techniques for stock markets. ICACCI (2015)
Jose Juan Mijares Chan, Yuyin Mao, Ying Ying Liu, Parimala Thulasiraman, Ruppa K. Thulasiram
Parallel Ant Brood Graph Partitioning in Julia. PPAM (2) (2015)
Bhanu Sharma, Ruppa K. Thulasiram, Parimala Thulasiraman, Rajkumar Buyya
Clabacus: A Risk-Adjusted Cloud Resources Pricing Model Using Financial Option Theory. IEEE Trans. Cloud Comput. 3 (3) (2015)
David Allenotor, Ruppa K. Thulasiram
A Discrete Time Financial Option Pricing Model for Cloud Services. UIC/ATC/ScalCom (2014)
Olayinka Idowu Oduntan, Parimala Thulasiraman, Ruppa K. Thulasiram
Portfolio diversification using ant brood sorting clustering. NaBIC (2014)
Ruppa K. Thulasiram, Manish Parashar
Special issue on computational finance. Concurr. Comput. Pract. Exp. 26 (9) (2014)
Bhanu Sharma, Ruppa K. Thulasiram, Parimala Thulasiraman
Normalized particle swarm optimization for complex chooser option pricing on graphics processing unit. J. Supercomput. 66 (1) (2013)
Wayne Franz, Parimala Thulasiraman, Ruppa K. Thulasiram
Optimization of an OpenCL-Based Multi-swarm PSO Algorithm on an APU. PPAM (2) (2013)
David Allenotor, Ruppa K. Thulasiram
A fuzzy Grid-QoS framework for obtaining higher grid resources availability. J. Supercomput. 66 (3) (2013)
Bahman Javadi, Ruppa K. Thulasiram, Rajkumar Buyya
Characterizing spot price dynamics in public cloud environments. Future Gener. Comput. Syst. 29 (4) (2013)
Ranjan Saha, Bhanu Sharma, Ruppa K. Thulasiram, Parimala Thulasiraman
A Novel Architecture for Financial Investment Services on a Private Cloud. ICA3PP (1) (2013)
Sameer Kumar Singh, Ruppa K. Thulasiram, Parimala Thulasiraman
A novel application of ACO to price transmission rights in electricity markets. NaBIC (2013)
M. S. Sidhu, Parimala Thulasiraman, Ruppa K. Thulasiram
A load-rebalance PSO heuristic for task matching in heterogeneous computing systems. SIS (2013)
Wayne Franz, Parimala Thulasiraman, Ruppa K. Thulasiram
Memory Efficient Multi-Swarm PSO Algorithm in OpenCL on an APU. ICA3PP (1) (2013)
Jose Juan Mijares Chan, Gagan Battoo, Parimala Thulasiraman, Ruppa K. Thulasiram
Effects of Segmented Finite Difference Time Domain on GPU. PPAM (2) (2013)
Himani Rana, Parimala Thulasiraman, Ruppa K. Thulasiram
MAZACORNET: Mobility aware zone based ant colony optimization routing for VANET. IEEE Congress on Evolutionary Computation (2013)
Matthew Doerksen, Parimala Thulasiraman, Ruppa K. Thulasiram
Optimizing Option Pricing Algorithms and Profiling Power Consumption on VLIW APU Architecture. ISPA (2012)
Adel Nadjaran Toosi, Ruppa K. Thulasiram, Rajkumar Buyya
Financial Option Market Model for Federated Cloud Environments. UCC (2012)
Saurabh Kumar Garg, Bhanu Sharma, Rodrigo N. Calheiros, Ruppa K. Thulasiram, Parimala Thulasiraman, Rajkumar Buyya
Financial Application as a Software Service on Cloud. IC3 (2012)
Bhanu Sharma, Ruppa K. Thulasiram, Parimala Thulasiraman, Saurabh Kumar Garg, Rajkumar Buyya
Pricing Cloud Compute Commodities: A Novel Financial Economic Model. CCGRID (2012)
Matthew Doerksen, Steven Solomon, Parimala Thulasiraman, Ruppa K. Thulasiram
Financial Option Pricing on APU. IC3 (2012)
Bhanu Sharma, Ruppa K. Thulasiram, Parimala Thulasiraman
Portfolio Management Using Particle Swarm Optimization on GPU. ISPA (2012)
Sameer Kumar Singh, Ruppa K. Thulasiram, Parimala Thulasiraman
Pricing transmission rights using ant colony optimization. GECCO (Companion) (2011)
Steven Solomon, Parimala Thulasiraman, Ruppa K. Thulasiram
Collaborative multi-swarm PSO for task matching using graphics processing units. GECCO (2011)
Jose Juan Mijares Chan, Bhanu Sharma, Jiaqing Lv, Gabriel Thomas, Ruppa K. Thulasiram, Parimala Thulasiraman
True Random Number Generator Using GPUs and Histogram Equalization Techniques. HPCC (2011)
David Allenotor, Ruppa K. Thulasiram
Grid resources valuation with fuzzy real option. Int. J. High Perform. Comput. Netw. 7 (1) (2011)
Adel Nadjaran Toosi, Rodrigo N. Calheiros, Ruppa K. Thulasiram, Rajkumar Buyya
Resource Provisioning Policies to Increase IaaS Provider's Profit in a Federated Cloud Environment. HPCC (2011)
Rashedur M. Rahman, Ruppa K. Thulasiram, Parimala Thulasiraman
Performance Analysis of Sequential and Parallel Neural Network Algorithm for Stock Price Forecasting. Int. J. Grid High Perform. Comput. 3 (1) (2011)
Bahman Javadi, Ruppa K. Thulasiram, Rajkumar Buyya
Statistical Modeling of Spot Instance Prices in Public Cloud Environments. UCC (2011)
Ruppa K. Thulasiram
Preface. Parallel Comput. 36 (7) (2010)
Hari Prasain, Girish K. Jha, Parimala Thulasiraman, Ruppa K. Thulasiram
A parallel Particle swarm optimization algorithm for option pricing. IPDPS Workshops (2010)
Steven Solomon, Ruppa K. Thulasiram, Parimala Thulasiraman
Option Pricing on the GPU. HPCC (2010)
David Allenotor, Ruppa K. Thulasiram
Evaluation of a Financial Option Based Pricing Model for Grid Resources Management: Simulation vs. Real Data. HPCC (2010)
Hari Prasain, Parimala Thulasiraman, Ruppa K. Thulasiram, Girish K. Jha
Particle swarm optimization algorithm for option pricing: extended abstract. GECCO (Companion) (2010)
Steven Solomon, Parimala Thulasiraman, Ruppa K. Thulasiram
Exploiting Parallelism in Iterative Irregular Maxflow Computations on GPU Accelerators. HPCC (2010)
Girish K. Jha, Parimala Thulasiraman, Ruppa K. Thulasiram
PSO based neural network for time series forecasting. IJCNN (2009)
Kiran Kola, Ruppa K. Thulasiram, Parimala Thulasiraman
A software architecture framework for on-line option pricing. J. Supercomput. 47 (2) (2009)
David Allenotor, Ruppa K. Thulasiram, Parimala Thulasiraman
A Financial Option Based Grid Resources Pricing Model: Towards an Equilibrium between Service Quality for User and Profitability for Service Providers. GPC (2009)
Girish K. Jha, Sameer Kumar Singh, Hari Prasain, Parimala Thulasiraman, Ruppa K. Thulasiram
Option pricing using Particle Swarm Optimization. C3S2E (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ruppa K. Thulasiram