Scientific outputs
Open-source software
My software portfolio is available on GitHub and GitLab pages.
Publications and White papers
2023
- Frequency Oracles for Sensitive Data Monitoring
AAAI'24 Student Abstract and Poster Program - Privacy-Preserving Federated Learning with Frequency Estimation
NeurIPS'23 Workshop 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
- Comments on Advancing Privacy-Enhancing Technologies
Office of Science and Technology Policy (OSTP) [White paper] - 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] - 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 - 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 - 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
Symposiums
- "Frequency Oracle Identification for Sensitive Data Streams" in ORNL Symposium, 2023
- "Examining Smart Devices and Data Privacy: Differential Privacy & TOPSIS Results" in ORNL Symposium, 2022
- "Federated Learning with Differential Privacy" in ORNL Symposium, 2022
- "Causal Inference and Discovery with Dynamic Intervention for Policy making" in NSF Mathematical Sciences Summer Research Symposium, 2022
- "Benchmarking Local Differential Privacy Algorithms for Streaming Data" in ORNL Symposium, 2021
- "Effectiveness of Privacy Techniques for Smart Meter Systems" in ORNL Symposium, 2021
- "Impact of Building and Spatial Clustering on Energy Consumption" in ORNL Symposium, 2020
- "Applying Machine Learning to Energy Security, Optimization and Privacy - Novel application and evaluation" in U.S. Clean Energy Education and Empowerment (C3E), 2019
- "Machine Learning and Artificial Intelligence for Smart Cyber-Physical Systems" in ORNL ORPA Symposium, 2019
- "HVAC Load Management Using Reinforcement Learning" in IEEE PES General Meeting Conference, 2019
- "RL-HEMS: Reinforcement Learning-based Home Energy Management System for HVAC Energy Optimization" in AI Expo, 2019
- "AI and statistical based analysis of IoT network traffic" in CCC Early Career Researcher Symposium, 2018
- "Machine Learning for IoT and Smart Cities Data Sharing" in NIST Information Technology (ITL) Science Day, 2017
- "Framework for Network Event Analysis and Prediction" in ACM Women in Computing, 2017
- "Mobile Cloud Computing project toward a Cloudlet based Architecture framework for the assessment of services, exchanges, security, and metrics" in NIST ITL Science Day, 2015