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Journals Papers
▪ 2024
- Game Theory Based Model for Predictive Analytics Using Distributed Position Function
- Patient-Centric Knowledge Graphs: A Survey of Current Methods, Challenges, and Applications
- Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities
- Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems
- LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge
- Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities
- Advancing Generative Model Evaluation: A Novel Algorithm for Realistic Image Synthesis and Comparison in OCR System
- MedInsight: A Multi-Source Context Augmentation Framework for Generating Patient-Centric Medical Responses using Large Language Models
- A Hybrid Expert System for Estimation of the Manufacturability of a Notional Design
- From Questions to Insightful Answers: Building an Informed Chatbot for University Resources
- A Survey of Transformer Enabled Time Series Synthesis
- Generating Synthetic Time Series Data for Cyber-Physical Systems
▪ 2023
- Deep representation learning: Fundamentals, Technologies, Applications, and Open Challenges
- Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities
- Impacts and Risk of Generative AI Technology on Cyber Defense
- Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review
- A Comparative Study of Continual, Lifelong, and Online Supervised Learning Libraries
- Generative Local Interpretable Model-Agnostic Explanations
- Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review
- Explainable Intrusion Detection Systems Using Competitive Learning Techniques
- An empirical survey on explainable ai technologies: Recent trends, use-cases, and categories from technical and application perspectives
- TwinExplainer: Explaining Predictions of an Automotive Digital Twin
- Emergent (In) Security of Multi-Cloud Environments
- Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities
- Knowledge-Enhanced Neurosymbolic Artificial Intelligence for Cybersecurity and Privacy
- URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road Environments
- Systemic Risk and Vulnerability Analysis of Multi-cloud Environments
- REGARD: Rules of EngaGement for Automated cybeR Defense to aid in Intrusion Response
- Survey of Malware Analysis through Control Flow Graph using Machine Learning
- AI Security Threats against Pervasive Robotic Systems: A Course for Next Generation Cybersecurity Workforce
- Probability Density Function of Geometrical Properties of Soil Desiccation Cracks at Different Relative Humidity Levels
▪ 2022
- Deep representation learning: Fundamentals, perspectives, applications, and open challenges
- An Interpretable Approach to Prediction of Sepsis Using Multivariate Time Series
- Sustainable Smart Cities: Theoretical Foundations and Practical Considerations
- Similarity-based Multi-source Transfer Learning Approach for Time Series Classification
- A Multidimensional Game Theory–Based Group Decision Model for Predictive Analytics
- Designing an Artificial Immune System inspired Intrusion Detection System
- Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities
- A hybrid ARIMA–WNN approach to model vehicle operating behavior and detect unhealthy states
- Research Article A Multidimensional Game Theory–Based Group Decision Model for Predictive Analytics
- A Multidimensional Game Theory–Based Group Decision Model for Predictive Analytics
- Risks to Zero Trust in a Federated Mission Partner Environment
- Self-Sovereign Identity in a World of Authentication: Architecture and Domain Usecases
- Designing an Artificial Immune System inspired Intrusion Detection System
- irs-partition: An Intrusion Response System utilizing Deep Q-Networks and system partitions
- AI_Adaptive_POW: An AI assisted Proof Of Work (POW) framework for DDoS defense
- Evolution of fracture permeability and aperture during CO2 storage in varyingly cemented sedimentary rocks
▪ 2021
- A bat-pigeon algorithm to crack detection-enabled autonomous vehicle navigation and mapping
- A Novel Compartmental Model to Capture the Nonlinear Trend of COVID-19
- Empowering Compartmental Modeling With Mobility and Shelter-in-Place Analysis
- 3D shape estimation of negative obstacles using LiDAR point cloud data
- Intelligent Systems with Applications
- Semantically rich framework to automate cyber insurance services
- Cyber-Physical System Security Surveillance using Knowledge Graph based Digital Twins-A Smart Farming Usecase
- Towards a Leader-Driven Supply Chain Cybersecurity Framework
- Secure V2V and V2I Technologies for the Next-Generation Intelligent Transportation Systems
- Deep Learning Techniques for Behavioural Malware Analysis in Cloud IaaS
- A survey of hmm-based algorithms in machinery fault prediction
- General thermal conductivity function for unsaturated soils considering effects of water content, temperature, and confining pressure
- Data analytics to investigate the cohort of injection wells with earthquakes in Oklahoma
- Variation of pore-network, mechanical and hydrological characteristics of sandstone specimens through CO2-enriched brine injection
- Variation of failure properties, creep response and ultrasonic velocities of sandstone upon injecting CO2-enriched brine
- Machine Learning Assisted Lithology Prediction Utilizing Toeplitz Inverse Covariance-Based Clustering (TICC)
- Resilience through Data Analytics: Investigating the Shift of Seismic Activities in Oklahoma
- A Temperature-Dependent Model for Thermal Conductivity Function of Unsaturated Soils
Conference Proceedings
▪ 2023
- A Comparative Study of Continual, Lifelong, and Online Supervised Learning Libraries
- Generative Local Interpretable Model-Agnostic Explanations
- KiL 2023: 3rd International Workshop on Knowledge-infused Learning
- Survey of Malware Analysis through Control Flow Graph using Machine Learning
- A Comparative Study of Continual, Lifelong, and Online Supervised Learning Libraries
- CAPoW: Context-Aware AI-Assisted Proof of Work based DDoS Defense
▪ 2022
- A Temporal Anomaly Detection System for Vehicles utilizing Functional Working Groups and Sensor Channels
- Creating an explainable intrusion detection system using self organizing maps
- Similarity-based Multi-source Transfer Learning Approach for Time Series Classification
- Multi-Robot Directed Coverage Path Planning in Row-based Environments
- A White-Box Adversarial Attack Against a Digital Twin.
- Security and Privacy for Emerging IoT and CPS Domains
- Enforcement of Laws and Privacy Preferences in Modern Computing Systems
- A Policy Driven AI-Assisted PoW Framework
- Use of Horizontal Drilling for CO2 Sequestration in Low Storage Capacity Aquifers: from Impossible to Feasible
- General Considerations for the Use of Offshore Depleted Reservoirs for CO2 Sequestration
- Estimation of Fluid Flow Boundary Conditions: The Role of Pressure Transient Analysis in Safe CO2 Sequestration and Underground Storage
- Modeling of Carbon Capture Process
▪ 2021
- A two-dimensional model for game theory based predictive analytics
- Explainable Machinery Faults Prediction Using Ensemble Tree Classifiers: Bagging or Boosting?
- Immune system algorithms to environmental exploration of robot navigation and mapping
- A nature-inspired algorithm to adaptively safe navigation of a Covid-19 disinfection robot
- Combating fake cyber threat intelligence using provenance in cybersecurity knowledge graphs
- A Privacy Preserving Anomaly Detection Framework for Cooperative Smart Farming Ecosystem
- Artificial intelligence assisted malware analysis
- AI for Security and Security for AI
- Is there a Security Mindset and Can it be Taught?
- Generating Fake Cyber Threat Intelligence Using Transformer-Based Models
- Ontology driven AI and Access Control Systems for Smart Fisheries
- The case for latent variable vs deep learning methods in misinformation detection: an application to covid-19
Poster Presentations
▪ 2022
