Scientific outputs

Publications and White papers
2024

• Privacy by Design in Distributed Edge Systems: Innovating Secure Workflows for Smart Cities
  IEEE Smart Cities Newletter.
• Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations
  IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP).
• A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
  IEEE Transactions on Knowledge and Data Engineering. [Repository].
• Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy. Preprint.
• Frequency Oracles for Sensitive Data Monitoring
  Association for the Advancement of Artificial Intelligence (AAAI) Conference.
• <a href="https://www.osti.gov/biblio/2439867" </a> Oak Ridge National Laboratory’s Strategic Research and Development Insights for Digital Twins
  Office of Science and Technology Policy (OSTP) [White paper].
• Oak Ridge National Laboratory’s response to DOE's Responsibilities on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence
  Office of Science and Technology Policy (OSTP) [White paper].

2023

• Privacy-Preserving Federated Learning with Frequency Estimation
  NeurIPS Workshops Program.
• A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
  Preprint. GiHub page.
• Energy-Efficient Cooperative Resource Allocation and Task Scheduling for Internet of Things Environments
  Elsevier - Internet of Things.
• Reusable Hybrid and Multi-Cloud Analytics Service Framework
  Preprint. [White paper].

2022

• A Multi-Objective Approach for Optimizing Edge-based Resource Allocation using TOPSIS
  MDPI Electronics.
• Investigating Users Privacy Concerns of Internet of Things (IoT) Smart Devices
  IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE).
• PAS: Privacy Algorithms in Systems
  ACM International Conference on Information & Knowledge Management (CIKM).
• Analyzing Data Privacy for Edge Systems
  IEEE International Conference on Smart Computing (SMARTCOMP).
• Privacy Amplification for Episodic Training Methods
  ACM CIKM Workshop on Privacy Algorithms in System.
• Robustness of privacy policies to reserve engineering
  ACM CIKM Workshop on Privacy Algorithms in System.
• Reinforcement Learning for Intelligent Building Energy Management System Control
  Intelligent Data Mining and Analysis in Power and Energy Systems: Models and Applications for Smarter Efficient Power Systems [Book chapter].
• Comments on Advancing Privacy-Enhancing Technologies
  Office of Science and Technology Policy (OSTP) [White paper].
• ORNL Microelectronics LDRD Initiative Deep Dive
  ORNL Internal [White paper].

2021

• Measurement of Local Differential Privacy Techniques for IoT-based Streaming Data
  IEEE Conference on Privacy, Security, and Trust (PST).
• Optimal Balance of Privacy and Utility with Differential Privacy Deep Learning Frameworks
  IEEE International Conference on Computational Science and Computational Intelligence (CSCI).
• Effectiveness of Privacy Techniques in Smart Metering Systems
  IEEE International Conference on Computational Science and Computational Intelligence (CSCI).
• Methodology for interpretable reinforcement learning model for HVAC energy control
  IEEE International Conference on Big Data. Best paper runner up. em>
• Double Deep Q-Networks for Optimizing Electricity Cost of a Water Heater
  IEEE PES Innovative Smart Grid Technologies (ISGT).
• A pre-training and self-training approach for biomedical named entity recognition.
  PLOS One
• Challenges in Automated Detection of COVID-19 Misinformation
  ACM Workshop on Human Aspects of Misinformation Online.
• Multi-task deep reinforcement learning for intelligent multi-zone residential HVAC control
  Elsevier - Electric Power Systems Research.
• Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning
  Elsevier - Applied Energy. Awarded highly cited research paper. em>
• An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing
  Springer - Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation.
• Challenges with Sensitive Data in Distributed Graph
  DOE ASCR Workshop on Cybersecurity and Privacy for Scientific Computing Ecosystems [White paper].
• Addressing the Limitations to Distributed Learning Containing Sensitive Data
  DOE ASCR Workshop on Cybersecurity and Privacy for Scientific Computing Ecosystems [White paper].

2020

• Electricity Pricing Aware Deep Reinforcement Learning based Intelligent HVAC Control
  ACM SENSYS Workshop on Reinforcement Learning for Energy Management in Buildings & Cities.
• Activity Characterization for Modeling Behavior-driven Human Mobility in Platial Network
  ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks, and Geoadvertising.
• A Novel Vetting Approach to Cybersecurity Verification in Energy Grid Systems
  IEEE Kansas Power and Energy Conference (KPEC).
• RL-HEMS: Reinforcement Learning-based Home Energy Management System for HVAC Energy Optimization
  ASHRAE Winter Conference.
• Deep reinforcement learning for residential HVAC control with consideration of human occupancy
  IEEE Power & Energy Society General Meeting (PESGM).
• Evaluating the Adaptability of Reinforcement Learning based HVAC Control for Residential Homes
  MDPI Sustainability.
• Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics
  Springer - Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI.
• AI-based Approach for Advancing the Understanding of Spatiotemporal Drought Characteristics
  DOE Artificial Intelligence for Earth System Predictability (AI4ESP) Workshop [White paper].

2019 and before

• Kensor: Coordinated Intelligence from Co-Located Sensors
  IEEE International Conference on Big Data, 2019.
• Dynamic Network Model for Smart City Data-loss Resilience
  IEEE Access - Advanced Data Analytics for Large-scale Complex Data Environments, 2018.
• Sentiment analysis of Social Sensors for improvement of local services improvement
  International Journal of Computing and Digital Systems (IJCDS), 2017.
• Toward a Real-Time Framework in Cloudlet-Based Architecture
  Tsinghua Science and Technology Journal, 2016.
• Event model to facilitate Data Sharing Among Services
  IEEE World Forum Internet of Things (WF-IoT), 2016.
• Automatic Categorization of Social Sensor Data
  Elsevier - Procedia Computer Science, 2016.
• Toward a Framework for Cloudlet-Based Architecture for a Real-Time Prediction Models
  IEEE International Conference on Ubiquitous Intelligence and Computing (UIC), 2015.
• Continuous real-time monitoring of patient's vital signs based on ZigBee standard
  International Journal of Informatics and Communication Technology (IJ-ICT), 2014.
• Using ZigBee low-power wireless standard for monitoring patients' signs
  Elsevier - Information and Communication Technology (ICT) Innovation, 2013.
• Collaboration Model within Personal Healthcare System
  International Conference Information Systems & Grid Technologies (ISGT), 2012.
• Towards a patient-centered collaborative health care system model
  International Journal of Computer Theory and Engineering (IJCTE), 2012.
• COHESY - Collaborative Health Care System Model
  International Conference on Informatics and Information Technologies (CIIT), 2011.