Publications
Journal Articles
Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting
Applied Soft Computing, 2023 (IF: 8.7)
Backpropagation-free 4D continuous ant-based neural topology search
Applied Soft Computing, 2023 (IF: 8.7)
Long Term Predictions of Coal Fired Power Plant Data Using Evolved Recurrent Neural Networks
at - Automatisierungstechnik, Volume 68(2):130-139, 2020
Conference Proceedings
Visualizing the Dynamics of Neuroevolution with Genetic Distance Projections
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2025)
Minimally Supervised Regression using Topological Projections in Self-Organizing Maps
2025 International Joint Conference on Neural Networks (IJCNN 2025)
Evolving RNNs for Stock Forecasting: A Low Parameter Efficient Alternative to Transformers
International Conference on the Applications of Evolutionary Computation (EvoApps 2025)
Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification
2024 International Joint Conference on Neural Networks (IJCNN)
Enabling An Informed Contextual Multi-Armed Bandit Framework For Stock Trading With Neuroevolution
Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2024)
Efficient Neuroevolution using Island Repopulation and Simplex Hyperparameter Optimization
2023 IEEE Symposium Series on Computational Intelligence (SSCI)
Co-evolving Recurrent Neural Networks and their Hyperparameters with Simplex Hyperparameter Optimization
Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO 2023)
ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting
Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2022)
Neuroevolution of Recurrent Neural Networks for Time Series Forecasting of Coal-Fired Power Plant Data
Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2021)
An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution
International Conference on the Applications of Evolutionary Computation (EvoApps 2021)
Improving Distributed Neuroevolution Using Island Extinction and Repopulation
International Conference on the Applications of Evolutionary Computation (EvoApps 2021)
Continuous Ant-Based Neural Topology Search
International Conference on the Applications of Evolutionary Computation (EvoApps 2021)
Improving Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation
Proceedings of the 2020 genetic and evolutionary computation conference
Neuro-Evolutionary Transfer Learning through Structural Adaptation
International Conference on the Applications of Evolutionary Computation (Part of EvoStar)
Patents
Vehicle Parking Data Collection System and Method
US Patent Application US-2020-0272837-A1, Publication Date: August 27, 2020
Preprints
Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification
arXiv, 2024
Neuroevolution Neural Architecture Search for Evolving RNNs in Stock Return Prediction and Portfolio Trading
arXiv, 2024
Directly Learning Stock Trading Strategies Through Profit Guided Loss Functions
arXiv, 2025
Minimally supervised learning using topological projections in self-organizing maps
arXiv, 2024
A Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution
arXiv, 2020
Improving Neuroevolution Using Island Extinction and Repopulation
arXiv, 2020
Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation
arXiv, 2020
Dissertation
Online and Offline Multi-Variate Time Series Forecasting With NeuroEvolution Based Neural Architecture Search
Ph.D. Dissertation, Rochester Institute of Technology, 2025