CIMS: a framework for infrastructure interdependency modeling and analysis. - Donald D. Dudenhoeffer; May R. Permann; Milos Manic (WSC, 2006)

Information-based Algorithmic Design of a Neural Network Classifier. - Robert E. Hiromoto; Milos Manic (Int. J. Comput., 2006)

Intelligent control in automation based on wireless traffic analysis. - Kurt W. Derr; Milos Manic (ETFA, 2007)

Fuzzy control of sparing in disk arrays. - Guillermo Navarro 002; Milos Manic (ETFA, 2007)

Predictive E-Mail Server Performability Analysis Based on Fuzzy Arithmetic. - Guillermo Navarro 002; Milos Manic (IJCNN, 2007)

Interdependency modeling and emergency response. - Donald D. Dudenhoeffer; May R. Permann; Steven Woolsey; Robert Timpany; Chuck Miller; Anthony McDermott; Milos Manic (SCSC, 2007)

Contextual Data Rule Generation For Autonomous Vehicle Control. - Kevin McCarty; Milos Manic; Sergiu-Dan Stan (SCSS (1), 2008)

Fuzzy Control of a 3 Degree of Freedom Parallel Robot. - Sergiu-Dan Stan; Grigore Gogu; Milos Manic; Radu Balan; Ciprian Rad (EIAT/IETA, 2008)

DSTiPE algorithm for fuzzy spatio-temporal risk calculation in wireless environments. - Kurt W. Derr; Milos Manic (ETFA, 2008)

Descending Deviation Optimization techniques for scheduling problems. - Kevin McCarty; Milos Manic (ETFA, 2008)

A Novel Virtual Reality Robot Interface for Isoglide3 Parallel Robot. - Sergiu-Dan Stan; Milos Manic; Vistrian Maties; Radu Balan (ICIRA (1), 2008)

Neural Network Real Time Video Processor for Early Aircraft Detection. - Gregory Hauser; Milos Manic (ETFA, 2009)

Neural Network Approach to Locating Cryptography in Object Code. - Jason L. Wright; Milos Manic (ETFA, 2009)

GNG-SVM framework - classifying large datasets with Support Vector Machines using Growing Neural Gas. - Ondrej Linda; Milos Manic (IJCNN, 2009)

Neural Network based Intrusion Detection System for critical infrastructures. - Ondrej Linda; Todd Vollmer; Milos Manic (IJCNN, 2009)

Importance sampling based defuzzification for general type-2 fuzzy sets. - Ondrej Linda; Milos Manic (FUZZ-IEEE, 2010)

Neural network architecture selection analysis with application to cryptography location. - Jason L. Wright; Milos Manic (IJCNN, 2010)

Fuzzy logic based anomaly detection for embedded network security cyber sensor. - Ondrej Linda; Milos Manic; Todd Vollmer; Jason L. Wright (CICS, 2011)

Autonomous rule creation for intrusion detection. - Todd Vollmer; Jim Alves-Foss; Milos Manic (CICS, 2011)

Centroid density of interval type-2 fuzzy sets: Comparing stochastic and deterministic defuzzification. - Ondrej Linda; Milos Manic (FUZZ-IEEE, 2011)

A hardware suitable Integrated Neural System for Autonomous Vehicles - Road Structuring and Path Tracking. - Udhay Ravishankar; Milos Manic (IJCNN, 2011)

CAVE-SOM: Immersive visual data mining using 3D Self-Organizing Maps. - Dumidu Wijayasekara; Ondrej Linda; Milos Manic (IJCNN, 2011)

Uncertainty modeling for interval Type-2 Fuzzy Logic Systems based on sensor characteristics. - Ondrej Linda; Milos Manic (T2FUZZ, 2011)

Interval Type-2 fuzzy voter design for fault tolerant systems. - Ondrej Linda; Milos Manic (Inf. Sci., 2011)

Extended Virtual Spring Mesh (EVSM): The Distributed Self-Organizing Mobile Ad Hoc Network for Area Exploration. - Kurt W. Derr; Milos Manic (IEEE Trans. Ind. Electron., 2011)

Self-Organizing Fuzzy Haptic Teleoperation of Mobile Robot Using Sparse Sonar Data. - Ondrej Linda; Milos Manic (IEEE Trans. Ind. Electron., 2011)

Fuzzy Force-Feedback Augmentation for Manual Control of Multirobot System. - Ondrej Linda; Milos Manic (IEEE Trans. Ind. Electron., 2011)

FuSnap: Fuzzy Control of Logical Volume Snapshot Replication for Disk Arrays. - Guillermo Navarro 002; Milos Manic (IEEE Trans. Ind. Electron., 2011)

Uncertainty-Robust Design of Interval Type-2 Fuzzy Logic Controller for Delta Parallel Robot. - Ondrej Linda; Milos Manic (IEEE Trans. Ind. Informatics, 2011)

Online Spatio-Temporal Risk Assessment for Intelligent Transportation Systems. - Ondrej Linda; Milos Manic (IEEE Trans. Intell. Transp. Syst., 2011)

Improving Control System Cyber-State Awareness Using Known Secure Sensor Measurements. - Ondrej Linda; Milos Manic; Miles McQueen (CRITIS, 2012)

On the accuracy of input-output uncertainty modeling with interval Type-2 Fuzzy Logic Systems. - Ondrej Linda; Milos Manic (FUZZ-IEEE, 2012)

Shadowed Type-2 Fuzzy Sets -Type-2 Fuzzy Sets with shadowed secondary membership functions. - Ondrej Linda; Milos Manic (FUZZ-IEEE, 2012)

Improving Vehicle Fleet Fuel Economy via Learning Fuel-Efficient Driving Behaviors. - Ondrej Linda; Milos Manic (HSI, 2012)

Mining Bug Databases for Unidentified Software Vulnerabilities. - Dumidu Wijayasekara; Milos Manic; Jason L. Wright; Miles McQueen (HSI, 2012)

Iterative Learning Heuristic Dynamic Programming (ILHDP) design of a Steam Power Plant Controller. - Udhay Ravishankar; Milos Manic (IECON, 2012)

The Adaptive Critic Learning Agent (ACLA) algorithm: Towards problem independent neural network based optimizers. - Udhay Ravishankar; Milos Manic (IJCNN, 2012)

Visual, linguistic data mining using Self- Organizing Maps. - Dumidu Wijayasekara; Milos Manic (IJCNN, 2012)

A Direct Utility Adaptive Critic (DUAC) algorithm for power plant load management. - Udhay Ravishankar; Milos Manic (ISIE, 2012)

Monotone Centroid Flow Algorithm for Type Reduction of General Type-2 Fuzzy Sets. - Ondrej Linda; Milos Manic (IEEE Trans. Fuzzy Syst., 2012)

General Type-2 Fuzzy C-Means Algorithm for Uncertain Fuzzy Clustering. - Ondrej Linda; Milos Manic (IEEE Trans. Fuzzy Syst., 2012)

Introduction to the Special Section on Intelligent Systems. - Milos Manic; Honghai Liu 001; Adam Slowik; Bogdan M. Wilamowski (IEEE Trans. Ind. Electron., 2012)

Guest Editorial Special Section on Soft Computing in Industrial Informatics. - Xinghuo Yu 001; Okyay Kaynak; Milos Manic (IEEE Trans. Ind. Informatics, 2012)

Information gain based dimensionality selection for classifying text documents. - Dumidu Wijayasekara; Milos Manic; Miles McQueen (IEEE Congress on Evolutionary Computation, 2013)

A fuzzy framework with modeling language for type 1 and type 2 application development. - Kevin McCarty; Milos Manic; Allan Gagnon (HSI, 2013)

Human machine interaction via brain activity monitoring. - Dumidu Wijayasekara; Milos Manic (HSI, 2013)

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 León; Enrique Herrera-Viedma (IFSA/NAFIPS, 2013)

Multi-criteria based staging of Optimal PMU Placement using Fuzzy Weighted Average. - Ondrej Linda; Milos Manic; Annarita Giani; Miles McQueen (ISIE, 2013)

Shadowed Type-2 Fuzzy Logic Systems. - Dumidu Wijayasekara; Ondrej Linda; Milos Manic (T2FUZZ, 2013)

TopicSearch - Personalized Web Clustering Engine Using Semantic Query Expansion, Memetic Algorithms and Intelligent Agents. - Carlos Alberto Cobos Lozada; Martha Mendoza; Elizabeth León; Milos Manic; Enrique Herrera-Viedma (Polibits, 2013)

Wireless Sensor Network Configuration - Part I: Mesh Simplification for Centralized Algorithms. - Kurt W. Derr; Milos Manic (IEEE Trans. Ind. Informatics, 2013)

Wireless Sensor Network Configuration - Part II: Adaptive Coverage for Decentralized Algorithms. - Kurt W. Derr; Milos Manic (IEEE Trans. Ind. Informatics, 2013)

Adaptive Control Parameters for Dispersal of Multi-Agent Mobile Ad Hoc Network (MANET) Swarms. - Kurt W. Derr; Milos Manic (IEEE Trans. Ind. Informatics, 2013)

Fuzzy Contexts (Type C) and fuzzymorphism to solve situational discontinuity problems. - Kevin McCarty; Milos Manic (FUZZ-IEEE, 2014)

Data driven fuzzy membership function generation for increased understandability. - Dumidu Wijayasekara; Milos Manic (FUZZ-IEEE, 2014)

Next Generation Emergency Communication Systems via Software Defined Networks. - Milos Manic; Dumidu Wijayasekara; Kasun Amarasinghe; Joel D. Hewlett; Kevin Handy; Christopher Becker; Bruce Patterson; Robert Peterson (GREE, 2014)

EEG based brain activity monitoring using Artificial Neural Networks. - Kasun Amarasinghe; Dumidu Wijayasekara; Milos Manic (HSI, 2014)

A database driven memetic algorithm for fuzzy set optimization. - Kevin McCarty; Milos Manic (HSI, 2014)

Fuzzy logic based force-feedback for obstacle collision avoidance of robot manipulators. - Dumidu Wijayasekara; Milos Manic (HSI, 2014)

Driving behavior prompting framework for improving fuel efficiency. - Dumidu Wijayasekara; Milos Manic; David Gertman (HSI, 2014)

Dynamic fuzzy force field based force-feedback for collision avoidance in robot manipulators. - Dumidu Wijayasekara; Milos Manic (IECON, 2014)

Vulnerability identification and classification via text mining bug databases. - Dumidu Wijayasekara; Milos Manic; Miles McQueen (IECON, 2014)

Neural Network based downscaling of Building Energy Management System data. - Kasun Amarasinghe; Dumidu Wijayasekara; Milos Manic (ISIE, 2014)

Optimal placement of Phasor Measurement Units in power grids using Memetic Algorithms. - Ondrej Linda; Dumidu Wijayasekara; Milos Manic; Miles McQueen (ISIE, 2014)

Feature Selection Based on Sampling and C4.5 Algorithm to Improve the Quality of Text Classification Using Naïve Bayes. - Viviana Molano; Carlos Alberto Cobos Lozada; Martha Mendoza; Enrique Herrera-Viedma; Milos Manic (MICAI (1), 2014)

FN-DFE: Fuzzy-Neural Data Fusion Engine for Enhanced Resilient State-Awareness of Hybrid Energy Systems. - Dumidu Wijayasekara; Ondrej Linda; Milos Manic; Craig Rieger (IEEE Trans. Cybern., 2014)

Cyber-Physical System Security With Deceptive Virtual Hosts for Industrial Control Networks. - Todd Vollmer; Milos Manic (IEEE Trans. Ind. Informatics, 2014)

Autonomic Intelligent Cyber-Sensor to Support Industrial Control Network Awareness. - Todd Vollmer; Milos Manic; Ondrej Linda (IEEE Trans. Ind. Informatics, 2014)

Mining Building Energy Management System Data Using Fuzzy Anomaly Detection and Linguistic Descriptions. - Dumidu Wijayasekara; Ondrej Linda; Milos Manic; Craig Rieger (IEEE Trans. Ind. Informatics, 2014)

Data driven fuel efficient driving behavior feedback for fleet vehicles. - Dumidu Wijayasekara; Milos Manic; David Gertman (HSI, 2015)

Artificial neural networks based thermal energy storage control for buildings. - Kasun Amarasinghe; Dumidu Wijayasekara; Howard J. Carey; Milos Manic; Dawei He; Wei-Peng Chen (IECON, 2015)

Data-fusion for increasing temporal resolution of building energy management system data. - Dumidu Wijayasekara; Milos Manic (IECON, 2015)

Wireless Sensor Networks - Node Localization for Various Industry Problems. - Kurt W. Derr; Milos Manic (IEEE Trans. Ind. Informatics, 2015)

EEG feature selection for thought driven robots using evolutionary Algorithms. - Kasun Amarasinghe; Patrick Sivils; Milos Manic (HSI, 2016)

Epileptic Spike Detection with EEG using artificial Neural Networks. - Howard J. Carey; Milos Manic; Paul Arsenovic (HSI, 2016)

Multi-use high-technology testbed. - Lee T. Ostrom; Kelly M. Verner; Milos Manic; Kasun Amarasinghe; Dumidu Wijayasekara (HSI, 2016)

Building energy load forecasting using Deep Neural Networks. - Daniel L. Marino; Kasun Amarasinghe; Milos Manic (IECON, 2016)

HTML web content extraction using paragraph tags. - Howard J. Carey; Milos Manic (ISIE, 2016)

Fast trajectory simplification algorithm for natural user interfaces in Robot programming by demonstration. - Daniel L. Marino; Milos Manic (ISIE, 2016)

Simultaneous generation-classification using LSTM. - Daniel L. Marino; Kasun Amarasinghe; Milos Manic (SSCI, 2016)

Reduction of massive EEG datasets for epilepsy analysis using Artificial Neural Networks. - Howard J. Carey; Kasun Amarasinghe; Milos Manic (HSI, 2017)

Welcome message. - Kang-Hyun Jo; Luís Gomes 001; Milos Manic; Jacek Ruminski; Young Soo Suh (HSI, 2017)

Dynamic user interfaces for control systems. - Patrick Sivils; Kasun Amarasinghe; Matthew Anderson; Neal Yancey; Quang Nguyen; Kevin Kenney; Milos Manic (HSI, 2017)

Survey of progress in deep neural networks for resource-constrained applications. - Morgan Stuart; Milos Manic (IECON, 2017)

Deep neural networks for energy load forecasting. - Kasun Amarasinghe; Daniel L. Marino; Milos Manic (ISIE, 2017)

Parallalizable deep self-organizing maps for image classification. - Chathurika S. Wickramasinghe; Kasun Amarasinghe; Milos Manic (SSCI, 2017)

VD-IT2, Virtual Disk Cloning on Disk Arrays Using a Type-2 Fuzzy Controller. - Guillermo Navarro 002; David K. Umberger; Milos Manic (IEEE Trans. Fuzzy Syst., 2017)

Toward Explainable Deep Neural Network Based Anomaly Detection. - Kasun Amarasinghe; Kevin Kenney; Milos Manic (HSI, 2018)

Interpretable Data-Driven Modeling in Biomass Preprocessing. - Daniel L. Marino; Matthew Anderson; Kevin Kenney; Milos Manic (HSI, 2018)

Deep Self-Organizing Maps for Visual Data Mining. - Chathurika S. Wickramasinghe; Kasun Amarasinghe; Daniel L. Marino; Milos Manic (HSI, 2018)

Improving User Trust on Deep Neural Networks Based Intrusion Detection Systems. - Kasun Amarasinghe; Milos Manic (IECON, 2018)

An Adversarial Approach for Explainable AI in Intrusion Detection Systems. - Daniel L. Marino; Chathurika S. Wickramasinghe; Milos Manic (IECON, 2018)

Generalization of Deep Learning for Cyber-Physical System Security: A Survey. - Chathurika S. Wickramasinghe; Daniel L. Marino; Kasun Amarasinghe; Milos Manic (IECON, 2018)

On Critical Infrastructures, Their Security and Resilience - Trends and Vision. - Craig Rieger; Milos Manic (CoRR, 2018)

Integrated Cyber Physical Assessment and Response for Improved Resiliency. - Patrick Sivils; Craig Rieger; Kasun Amarasinghe; Milos Manic (The Internet of Things for Smart Urban Ecosystems, 2019)

Explaining What a Neural Network has Learned: Toward Transparent Classification. - Kasun Amarasinghe; Milos Manic (FUZZ-IEEE, 2019)

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 (HSI, 2019)

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 (HSI, 2019)

Data Driven Hourly Taxi Drop-offs Prediction using TLC Trip Record Data. - Chathurika S. Wickramasinghe; Daniel L. Marino; Fatih Yucel; Eyuphan Bulut; Milos Manic (HSI, 2019)

Data-driven Stochastic Anomaly Detection on Smart-Grid communications using Mixture Poisson Distributions. - Daniel L. Marino; Chathurika S. Wickramasinghe; Craig Rieger; Milos Manic (IECON, 2019)

Combining Physics-Based Domain Knowledge and Machine Learning using Variational Gaussian Processes with Explicit Linear Prior. - Daniel L. Marino; Milos Manic (CoRR, 2019)

Resilience in Energy Industries - Recent Advances, Open Challenges, and Future Directions. - Alfonso Damiano; Craig Rieger; Valeriy Vyatkin; Milos Manic (IEEE Trans. Ind. Informatics, 2019)

Modeling and Planning Under Uncertainty Using Deep Neural Networks. - Daniel L. Marino; Milos Manic (IEEE Trans. Ind. Informatics, 2019)

Deep Self-Organizing Maps for Unsupervised Image Classification. - Chathurika S. Wickramasinghe; Kasun Amarasinghe; Milos Manic (IEEE Trans. Ind. Informatics, 2019)

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 (HSI, 2020)

Trustworthy AI Development Guidelines for Human System Interaction. - Chathurika S. Wickramasinghe; Daniel L. Marino; Javier Grandio; Milos Manic (HSI, 2020)

CMIB: Unsupervised Image Object Categorization in Multiple Visual Contexts. - Xiaoqiang Yan; Yangdong Ye; Xueying Qiu; Milos Manic; Hui Yu 001 (IEEE Trans. Ind. Informatics, 2020)

Deep Embedded Clustering with ResNets. - Chathurika S. Wickramasinghe; Daniel L. Marino; Milos Manic (HSI, 2021)

The Virtualized Cyber-Physical Testbed for Machine Learning Anomaly Detection: A Wind Powered Grid Case Study. - Daniel L. Marino; Chathurika S. Wickramasinghe; Vivek Kumar Singh; Jake Gentle; Craig Rieger; Milos Manic (IEEE Access, 2021)

Data-Driven Correlation of Cyber and Physical Anomalies for Holistic System Health Monitoring. - Daniel L. Marino; Chathurika S. Wickramasinghe; Billy Tsouvalas; Craig Rieger; Milos Manic (IEEE Access, 2021)

Deep Learning Shared Bandpass Filters for Resource-Constrained Human Activity Recognition. - Morgan Stuart; Milos Manic (IEEE Access, 2021)

Explainable Unsupervised Machine Learning for Cyber-Physical Systems. - Chathurika S. Wickramasinghe; Kasun Amarasinghe; Daniel L. Marino; Craig Rieger; Milos Manic (IEEE Access, 2021)

ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation. - Chathurika S. Wickramasinghe; Daniel L. Marino; Milos Manic (IEEE Access, 2021)

Human System Interaction in Review: Advancing the Artificial Intelligence Transformation. - Daswin De Silva; Rashmika Nawaratne; Jacek Ruminski; Aleksander Malinowski; Milos Manic (HSI, 2022)

Anomaly Detection in Critical-Infrastructures using Autoencoders: A Survey. - Harindra S. Mavikumbure; Chathurika S. Wickramasinghe; Daniel L. Marino; Victor Cobilean; Milos Manic (IECON, 2022)

Self-Supervised Learning of Neural Speech Representations From Unlabeled Intracranial Signals. - Srdjan Lesaja; Morgan Stuart; Jerry J. Shih; Pedram Zanganeh Soroush; Tanja Schultz; Milos Manic; Dean J. Krusienski (IEEE Access, 2022)

Dual discriminator adversarial distillation for data-free model compression. - Haoran Zhao; Xin Sun 003; Junyu Dong; Milos Manic; Huiyu Zhou 001; Hui Yu 001 (Int. J. Mach. Learn. Cybern., 2022)

An Artificial Intelligence Approach for Real-Time Tuning of Weighting Factors in FCS-MPC for Power Converters. - Sergio Vazquez; Daniel L. Marino; Eduardo Zafra; María Dolores Valdés Peña; Juan J. Rodríguez-Andina; Leopoldo García Franquelo; Milos Manic (IEEE Trans. Ind. Electron., 2022)

Informed Deep Learning for Anomaly Detection in Cyber-Physical Systems. - Victor Cobilean; Harindra S. Mavikumbure; Chathurika S. Wickramasinghe; Daniel L. Marino; Milos Manic (ICIT, 2023)

ChatGPT and Generative AI Guidelines for Addressing Academic Integrity and Augmenting Pre-Existing Chatbots. - Daswin De Silva; Nishan Mills; Mona El-Ayoubi; Milos Manic; Damminda Alahakoon (ICIT, 2023)

Anomaly Detection for In-Vehicle Communication Using Transformers. - Victor Cobilean; Harindra S. Mavikumbure; Chathurika S. Wickramasinghe; Benny J. Varghese; Timothy D. Pennington; Milos Manic (IECON, 2023)

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 (IECON, 2023)

EmoZen: A Robust Word Embedding for Implicit and Explicit Expressions of Emotion. - Prabod Rathnayaka; Gihan Gamage; Daswin De Silva; Damminda Alahakoon; Milos Manic (IECON, 2023)

Augmenting Industrial Chatbots in Energy Systems using ChatGPT Generative AI. - Gihan Gamage; Sachin Kahawala; Nishan Mills; Daswin De Silva; Milos Manic; Damminda Alahakoon; Andrew Jennings (ISIE, 2023)

A Cybersecurity Framework for Home Energy Management Systems using Artificial Intelligence. - Lakshitha Gunasekara; Harsha Moraliyage; Daswin De Silva; Nishan Mills; Damminda Alahakoon; Andrew Jennings; Milos Manic (ISIE, 2023)

Physical Anomaly Detection in EV Charging Stations: Physics-based vs ResNet AE. - Harindra S. Mavikumbure; Victor Cobilean; Chathurika S. Wickramasinghe; Tyler Phillips 002; Benny J. Varghese; Barney Carlson; Craig Rieger; Timothy D. Pennington; Milos Manic (ISIE, 2023)

Automated Machine Learning in Critical Energy Infrastructure for Net Zero Carbon Emissions. - Harsha Moraliyage; Dilantha Haputhanthri; Chamod Samarajeewa; Nishan Mills; Daswin De Silva; Milos Manic; Andrew Jennings (ISIE, 2023)

A Review of Visualization Methods for Cyber-Physical Security: Smart Grid Case Study. - Victor Cobilean; Harindra S. Mavikumbure; Brady J. Mcbride; Bjorn Vaagensmith; Vivek Kumar Singh; Ruixuan Li 002; Craig Rieger; Milos Manic (IEEE Access, 2023)

Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting. - Walid Al Misba; Harindra S. Mavikumbure; Md Mahadi Rajib; Daniel L. Marino; Victor Cobilean; Milos Manic; Jayasimha Atulasimha (IEEE Access, 2023)

RX-ADS: Interpretable Anomaly Detection Using Adversarial ML for Electric Vehicle CAN Data. - Chathurika S. Wickramasinghe; Daniel L. Marino; Harindra S. Mavikumbure; Victor Cobilean; Timothy D. Pennington; Benny J. Varghese; Craig Rieger; Milos Manic (IEEE Trans. Intell. Transp. Syst., 2023)

Generative AI in Cyber Security of Cyber Physical Systems: Benefits and Threats. - Harindra S. Mavikumbure; Victor Cobilean; Chathurika S. Wickramasinghe; Devin Drake; Milos Manic (HSI, 2024)

Causal Reasoning in Large Language Models using Causal Graph Retrieval Augmented Generation. - Chamod Samarajeewa; Daswin De Silva; Evgeny Osipov; Damminda Alahakoon; Milos Manic (HSI, 2024)

Multi-Agent RAG Chatbot Architecture for Decision Support in Net-Zero Emission Energy Systems. - Gihan Gamage; Nishan Mills; Daswin De Silva; Milos Manic; Harsha Moraliyage; Andrew Jennings; Damminda Alahakoon (ICIT, 2024)

Addressing the Productivity Paradox in Healthcare with Retrieval Augmented Generative AI Chatbots. - Sajani Ranasinghe; Daswin De Silva; Nishan Mills; Damminda Alahakoon; Milos Manic; Yen Lim; Weranja Ranasinghe (ICIT, 2024)

Self-Attention Bottleneck Network for Self-Supervised Anomaly Detection in CAN Data. - Devin Drake; Victor Cobilean; Harindra S. Mavikumbure; Morgan Stuart; Milos Manic (IECON, 2024)

Cyber-Physical Security Trends of EV Charging Systems: A Survey. - Devin Drake; Harindra S. Mavikumbure; Victor Cobilean; Milos Manic (IECON, 2024)

A cloud-based architecture for explainable Big Data analytics using self-structuring Artificial Intelligence. - Nishan Mills; Zafar Issadeen; Amali Matharaarachchi; Tharindu R. Bandaragoda; Daswin De Silva; Andrew Jennings; Milos Manic (Discov. Artif. Intell., 2024)

Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis. - Gihan Gamage; Daswin De Silva; Nishan Mills; Damminda Alahakoon; Milos Manic (J. Big Data, 2024)

GAP-CAN: Gradient-Based Adversarial Attack on Transformers for CAN Bus Anomaly Detection. - Devin Drake; Victor Cobilean; Harindra S. Mavikumbure; Morgan Stuart; Swagat Das; Milos Manic (ICPS, 2025)

V2XFormer: Transformer-Based Anomaly Detection for Vehicle-to-Everything Communication. - Harindra S. Mavikumbure; Victor Cobilean; Chathurika S. Wickramasinghe; Devin Drake; Milos Manic (VTC2025-Spring, 2025)

Robotic Motion Intelligence Using Vector Symbolic Architectures and Blockchain-Based Smart Contracts. - Daswin De Silva; Sudheera Withanage; Vidura Sumanasena; Lakshitha Gunasekara; Harsha Moraliyage; Nishan Mills; Milos Manic (Robotics, 2025)

Self-Supervised and Interpretable Anomaly Detection Using Network Transformers. - Daniel L. Marino; Chathurika S. Wickramasinghe; Craig Rieger; Milos Manic (IEEE Trans. Ind. Informatics, 2025)