| 2025 | IECON | Learning Beyond Labels: Self-Supervised Methods for Anomaly Detection in Cyber-Physical Systems. | Swagat Das, Devin Drake, Harindra S. Mavikumbure, Victor Cobilean, Milos Manic |
| 2025 | IECON | Generative AI Agents for Hyper Predictive Maintenance of Solar Energy Systems. | Dilantha Haputhanthri, Chamod Samarajeewa, Daswin De Silva, Milos Manic, Nishan Mills, Harsha Moraliyage, Andrew Jennings |
| 2025 | IECON | KPU-Net: Kernal Point Unet for 3D LiDAR Ground Segmentation. | Harindra S. Mavikumbure, Victor Cobilean, Swagat Das, Chathurika S. Wickramasinghe, Devin Drake, David Barton, Lynn McDaniel, Chuck Kirby, Milos Manic |
| 2025 | VTC | V2XFormer: Transformer-Based Anomaly Detection for Vehicle-to-Everything Communication. | Harindra S. Mavikumbure, Victor Cobilean, Chathurika S. Wickramasinghe, Devin Drake, Milos Manic |
| 2024 | HSI | Generative AI in Cyber Security of Cyber Physical Systems: Benefits and Threats. | Harindra S. Mavikumbure, Victor Cobilean, Chathurika S. Wickramasinghe, Devin Drake, Milos Manic |
| 2024 | HSI | Causal Reasoning in Large Language Models using Causal Graph Retrieval Augmented Generation. | Chamod Samarajeewa, Daswin De Silva, Evgeny Osipov, Damminda Alahakoon, Milos Manic |
| 2024 | IECON | Self-Attention Bottleneck Network for Self-Supervised Anomaly Detection in CAN Data. | Devin Drake, Victor Cobilean, Harindra S. Mavikumbure, Morgan Stuart, Milos Manic |
| 2024 | IECON | Cyber-Physical Security Trends of EV Charging Systems: A Survey. | Devin Drake, Harindra S. Mavikumbure, Victor Cobilean, Milos Manic |
| 2023 | IECON | Anomaly Detection for In-Vehicle Communication Using Transformers. | Victor Cobilean, Harindra S. Mavikumbure, Chathurika S. Wickramasinghe, Benny J. Varghese, Timothy D. Pennington, Milos Manic |
| 2023 | IECON | DAdAE: Domain Adversarial Autoencoder Based In-Vehicle CAN Anomaly Detection. | Harindra S. Mavikumbure, Victor Cobilean, Chathurika S. Wickramasinghe, Benny J. Varghese, Timothy D. Pennington, Milos Manic |
| 2023 | IECON | EmoZen: A Robust Word Embedding for Implicit and Explicit Expressions of Emotion. | Prabod Rathnayaka, Gihan Gamage, Daswin De Silva, Damminda Alahakoon, Milos Manic |
| 2022 | HSI | Human System Interaction in Review: Advancing the Artificial Intelligence Transformation. | Daswin De Silva, Rashmika Nawaratne, Jacek Ruminski, Aleksander Malinowski, Milos Manic |
| 2022 | IECON | Anomaly Detection in Critical-Infrastructures using Autoencoders: A Survey. | Harindra S. Mavikumbure, Chathurika S. Wickramasinghe, Daniel L. Marino, Victor Cobilean, Milos Manic |
| 2021 | HSI | Deep Embedded Clustering with ResNets. | Chathurika S. Wickramasinghe, Daniel L. Marino, Milos Manic |
| 2020 | HSI | AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation. | Daniel L. Marino, Javier Grandio, Chathurika S. Wickramasinghe, Kyle Schroeder, Keith Bourne, Afroditi V. Filippas, Milos Manic |
| 2020 | HSI | Trustworthy AI Development Guidelines for Human System Interaction. | Chathurika S. Wickramasinghe, Daniel L. Marino, Javier Grandio, Milos Manic |
| 2019 | HSI | Machine Learning for Deep Brain Stimulation Efficacy using Dense Array EEG. | Morgan Stuart, Chathurika S. Wickramasinghe, Daniel L. Marino, Deepak Kumbhare, Kathryn Holloway, Milos Manic |
| 2019 | HSI | Intelligent Driver System for Improving Fuel Efficiency in Vehicle Fleets. | Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, Zachary A. Spielman, Ira E. Pray, David Gertman, Milos Manic |
| 2019 | HSI | Data Driven Hourly Taxi Drop-offs Prediction using TLC Trip Record Data. | Chathurika S. Wickramasinghe, Daniel L. Marino, Fatih Yucel, Eyuphan Bulut, Milos Manic |
| 2019 | IECON | Data-driven Stochastic Anomaly Detection on Smart-Grid communications using Mixture Poisson Distributions. | Daniel L. Marino, Chathurika S. Wickramasinghe, Craig Rieger, Milos Manic |
| 2018 | HSI | Toward Explainable Deep Neural Network Based Anomaly Detection. | Kasun Amarasinghe, Kevin Kenney, Milos Manic |
| 2018 | HSI | Interpretable Data-Driven Modeling in Biomass Preprocessing. | Daniel L. Marino, Matthew Anderson, Kevin Kenney, Milos Manic |
| 2018 | HSI | Deep Self-Organizing Maps for Visual Data Mining. | Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, Milos Manic |
| 2018 | IECON | Improving User Trust on Deep Neural Networks Based Intrusion Detection Systems. | Kasun Amarasinghe, Milos Manic |
| 2018 | IECON | An Adversarial Approach for Explainable AI in Intrusion Detection Systems. | Daniel L. Marino, Chathurika S. Wickramasinghe, Milos Manic |
| 2018 | IECON | Generalization of Deep Learning for Cyber-Physical System Security: A Survey. | Chathurika S. Wickramasinghe, Daniel L. Marino, Kasun Amarasinghe, Milos Manic |
| 2017 | HSI | Reduction of massive EEG datasets for epilepsy analysis using Artificial Neural Networks. | Howard J. Carey, Kasun Amarasinghe, Milos Manic |
| 2017 | HSI | Welcome message. | Kang-Hyun Jo, Lus Gomes, Milos Manic, Jacek Ruminski, Young Soo Suh |
| 2017 | HSI | Dynamic user interfaces for control systems. | Patrick Sivils, Kasun Amarasinghe, Matthew Anderson, Neal Yancey, Quang Nguyen, Kevin Kenney, Milos Manic |
| 2017 | IECON | Survey of progress in deep neural networks for resource-constrained applications. | Morgan Stuart, Milos Manic |
| 2016 | HSI | EEG feature selection for thought driven robots using evolutionary Algorithms. | Kasun Amarasinghe, Patrick Sivils, Milos Manic |
| 2016 | HSI | Epileptic Spike Detection with EEG using artificial Neural Networks. | Howard J. Carey, Milos Manic, Paul Arsenovic |
| 2016 | HSI | Multi-use high-technology testbed. | Lee T. Ostrom, Kelly M. Verner, Milos Manic, Kasun Amarasinghe, Dumidu Wijayasekara |
| 2016 | IECON | Building energy load forecasting using Deep Neural Networks. | Daniel L. Marino, Kasun Amarasinghe, Milos Manic |
| 2015 | HSI | Data driven fuel efficient driving behavior feedback for fleet vehicles. | Dumidu Wijayasekara, Milos Manic, David Gertman |
| 2015 | IECON | Artificial neural networks based thermal energy storage control for buildings. | Kasun Amarasinghe, Dumidu Wijayasekara, Howard J. Carey, Milos Manic, Dawei He, Wei-Peng Chen |
| 2015 | IECON | Data-fusion for increasing temporal resolution of building energy management system data. | Dumidu Wijayasekara, Milos Manic |
| 2014 | HSI | EEG based brain activity monitoring using Artificial Neural Networks. | Kasun Amarasinghe, Dumidu Wijayasekara, Milos Manic |
| 2014 | HSI | A database driven memetic algorithm for fuzzy set optimization. | Kevin McCarty, Milos Manic |
| 2014 | HSI | Fuzzy logic based force-feedback for obstacle collision avoidance of robot manipulators. | Dumidu Wijayasekara, Milos Manic |
| 2014 | HSI | Driving behavior prompting framework for improving fuel efficiency. | Dumidu Wijayasekara, Milos Manic, David Gertman |
| 2014 | IECON | Dynamic fuzzy force field based force-feedback for collision avoidance in robot manipulators. | Dumidu Wijayasekara, Milos Manic |
| 2014 | IECON | Vulnerability identification and classification via text mining bug databases. | Dumidu Wijayasekara, Milos Manic, Miles McQueen |
| 2013 | CEC | Information gain based dimensionality selection for classifying text documents. | Dumidu Wijayasekara, Milos Manic, Miles McQueen |
| 2013 | HSI | A fuzzy framework with modeling language for type 1 and type 2 application development. | Kevin McCarty, Milos Manic, Allan Gagnon |
| 2013 | HSI | Human machine interaction via brain activity monitoring. | Dumidu Wijayasekara, Milos Manic |
| 2013 | IFSA | Clustering of web search results based on an Iterative Fuzzy C-means Algorithm and Bayesian Information Criterion. | Carlos Alberto Cobos Lozada, Martha Mendoza, Milos Manic, Elizabeth Len, Enrique Herrera-Viedma |
| 2012 | CRITIS | Improving Control System Cyber-State Awareness Using Known Secure Sensor Measurements. | Ondrej Linda, Milos Manic, Miles McQueen |
| 2012 | HSI | Improving Vehicle Fleet Fuel Economy via Learning Fuel-Efficient Driving Behaviors. | Ondrej Linda, Milos Manic |
| 2012 | HSI | Mining Bug Databases for Unidentified Software Vulnerabilities. | Dumidu Wijayasekara, Milos Manic, Jason L. Wright, Miles McQueen |
| 2012 | IJCNN | The Adaptive Critic Learning Agent (ACLA) algorithm: Towards problem independent neural network based optimizers. | Udhay Ravishankar, Milos Manic |
| 2012 | IJCNN | Visual, linguistic data mining using Self- Organizing Maps. | Dumidu Wijayasekara, Milos Manic |
| 2012 | IECON | Iterative Learning Heuristic Dynamic Programming (ILHDP) design of a Steam Power Plant Controller. | Udhay Ravishankar, Milos Manic |
| 2011 | IJCNN | A hardware suitable Integrated Neural System for Autonomous Vehicles - Road Structuring and Path Tracking. | Udhay Ravishankar, Milos Manic |
| 2011 | IJCNN | CAVE-SOM: Immersive visual data mining using 3D Self-Organizing Maps. | Dumidu Wijayasekara, Ondrej Linda, Milos Manic |
| 2010 | IJCNN | Neural network architecture selection analysis with application to cryptography location. | Jason L. Wright, Milos Manic |
| 2009 | ETFA | Neural Network Real Time Video Processor for Early Aircraft Detection. | Gregory Hauser, Milos Manic |
| 2009 | ETFA | Neural Network Approach to Locating Cryptography in Object Code. | Jason L. Wright, Milos Manic |
| 2009 | IJCNN | GNG-SVM framework - classifying large datasets with Support Vector Machines using Growing Neural Gas. | Ondrej Linda, Milos Manic |
| 2009 | IJCNN | Neural Network based Intrusion Detection System for critical infrastructures. | Ondrej Linda, Todd Vollmer, Milos Manic |
| 2008 | ETFA | DSTiPE algorithm for fuzzy spatio-temporal risk calculation in wireless environments. | Kurt W. Derr, Milos Manic |
| 2008 | ETFA | Descending Deviation Optimization techniques for scheduling problems. | Kevin McCarty, Milos Manic |
| 2007 | ETFA | Intelligent control in automation based on wireless traffic analysis. | Kurt W. Derr, Milos Manic |
| 2007 | ETFA | Fuzzy control of sparing in disk arrays. | Guillermo Navarro, Milos Manic |
| 2007 | IJCNN | Predictive E-Mail Server Performability Analysis Based on Fuzzy Arithmetic. | Guillermo Navarro, Milos Manic |
| 2006 | WSC | CIMS: a framework for infrastructure interdependency modeling and analysis. | Donald D. Dudenhoeffer, May R. Permann, Milos Manic |