Publications

[year] [type] [topic]

Natural Language Information Extraction

[j1] A Reinforcement Learning Framework for N-ary Document-Level Relation Extraction
C. Yuan, R. Rossi, A. Katz, and H. Eldardiry
IEEE Transactions on Big Data 2024
Impact Factor 7.2

[c1] Building Jarvis - A Learner-aware Conversational Trainer
S. Mohan, K. Ramea, B. Price, M. Shreve, and H. Eldardiry, and L. Nelson
ACM user2agent IUI Workshop on User-aware Conversational Agents 2019

[c2] Unsupervised Relation Extraction: a Variational Autoencoder Approach
C. Yuan and H. Eldardiry
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2021
Acceptance Rate 32%

[c3] Zero-Shot Relation Classification from Side Information
J. Gong and H. Eldardiry
ACM International Conference on Information and Knowledge Management (CIKM) 2021
Acceptance Rate 21.7%

[c4] Clustering-based Unsupervised Generative Relation Extraction
C. Yuan, R. A. Rossi, A. Katz, and H. Eldardiry
IEEE International Conference on Big Data 2022
Acceptance Rate 19.2%

[c5] Knowledge-Enhanced Multilabel Few-Shot Product Attribute-Value Extraction
J. Gong, W. T. Chen, and H. Eldardiry
International Conference on Information and Knowledge Management (CIKM) 2023
Acceptance Rate 24%

[c6] Prompt-based Zero-Shot Relation Extraction with Semantic Knowledge Augmentation
J. Gong and H. Eldardiry
ACL International Conference on Computational Linguistics, Language Resources and Evaluation (COLING-LREC) 2024
Acceptance Rate 28%

[c7] Multilabel Zero-Shot Product Attribute-Value Extraction
J. Gong and H. Eldardiry
ACM International World Wide Web Conference (WWW) 2024
Acceptance Rate 20.2%

[c8] Multimodal Few-Shot Relation Extraction with Hybrid Visual Evidence
J. Gong and H. Eldardiry
ACL International Conference on Computational Linguistics, Language Resources and Evaluation (COLING-LREC) 2024
Acceptance Rate 28%

[i1] GradXKG: A Universal Explain-per-use Temporal Knowledge Graph Explainer
C. Yuan and H. Eldardiry
2023

Time-Series Prediction

[p1] Device Health Estimation by Combining Contextual Information with Sensor Data
H. Eldardiry, L. Liao, T. Honda, B. Saha, and R. Abreu
PATENT 10078062 GRANTED 2018

[j1] Two-Stage Clustering of Household Electricity Load Shapes for Improved Temporal Pattern Representation
M. Afzalan, F. Jazizadeh, and H. Eldardiry
IEEE Access 2021 Impact Factor 3.9

[j2] Graph Deep Factors for Probabilistic Time-Series Forecasting
H. Chen, R. A. Rossi, K. Mahadik, S. Kim, and H. Eldardiry
ACM Transactions on Knowledge Discovery from Data (TKDD) 2023
Impact Factor 5

[j3] Graph Time-Series Modeling in Deep Learning: A Survey
H. Chen and H. Eldardiry
ACM Transactions on Knowledge Discovery from Data (TKDD) 2024
Impact Factor 5.3

[c1] Device Health Estimation by Combining Contextual Control Information with Sensor Data
T. Honda, L. Liao, H. Eldardiry, B. Saha, and R. Abreu
International Workshop on Principles of Diagnosis 2015

[c2] Context Integrated Relational Spatio-Temporal Resource Forecasting
H. Chen, R. A. Rossi, K. Mahadik, and H. Eldardiry
IEEE International Conference on Big Data 2021
Acceptance Rate 19.9%

[c3] Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation
H. Chen, R. A. Rossi, K. Mahadik, S. Kim, and H. Eldardiry
ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD) 2021
Acceptance Rate 15.4%

[c4] Multistage Hybrid Attentive Networks for Knowledge-Driven Stock Movement Prediction
J. Gong and H. Eldardiry
ACM International Conference on Neural Information Processing (ICONIP) 2021
Acceptance Rate 20.9%

[c5] Stock Price Movement Prediction based on News Sentiment
J. Gong, B. Paye, G. Kadlec, and H. Eldardiry
International Conference on Engineering Applications of Neural Networks (EANN) 2021

[c6] Hypergraph Neural Networks for Time-series Forecasting
H. Chen, R. A. Rossi, K. Mahadik, S. Kim, H. Eldardiry
IEEE International Conference on Big Data 2023
Acceptance Rate 17.4%

[c7] Evolving Super Graph Neural Networks for Large-scale Time-Series Forecasting
H. Chen, R. A. Rossi, K. Mahadik, S. Kim, and H. Eldardiry
ACM Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2024
Acceptance Rate 15-30%

Control

[j1] Efficient Near-Optimal Control of Large-Size Second-Order Linear Time-Varying Systems
V. Rustagi, V. Reddy, A. Boker, C. Sultan, and H. Eldardiry
IEEE Control Systems Letters 2023
Impact Factor 3

[j2] Learning-based Optimal Control of Linear Time-Varying Systems over Large Time Intervals
V. Reddy, A. Boker, and H. Eldardiry
Systems and Control Letters 2024
Impact Factor 2.6
Acceptance Rate 25%

[j3] Learning-based Pareto Optimal Control of Large-Scale Systems with Unknown Slow Dynamics
S. T. Hesarkuchak, A. Boker, V. Reddy, L. Mili, and H. Eldardiry
IEEE Control Systems Letters (L-CSS) 2024
Impact Factor 3.1

[c1] Singular Perturbation-based Reinforcement Learning of Two-Point Boundary Optimal Control Systems
V. Reddy, H. Eldardiry, and A. Boker
Automatic Control Conference (ACC) 2022
Acceptance Rate 59.6%

[c2] Cooperation Learning in Time-Varying Multiagent Networks
V. Reddy, A. Boker, and H. Eldardiry
AAAI Reinforcement Learning in Games (RLG) Workshop 2022
Acceptance Rate 15%

[c3] Near-Optimal Trajectory Generation for Flexible Motion Systems using Two-Boundary Approach
M. Al-Rawashdeh, V. Reddy, M. Al Saaideh, A. Boker, H. Eldardiry, and M. Al Janaideh
IEEE European Control Conference 2023

[c4] Trajectory Generation using Activator-Inhibitor Systems
Y. Al-Rawashdeh, M. Al Saaideh, A. Boker, H. Eldardiry, M. Heertjes, and M. Al Janaideh
IEEE Conference on Decision and Control 2023
Acceptance Rate 56.7%

[c5] Searching for Sparse Controllers with a Budget: A Bottom-Up Approach
V. Reddy, S. Gumussoy, H. Eldardiry, and A. Boker
IEEE American Control Conference 2024

[c6] Efficient Near-Optimal Control of Large-size Second-Order Linear Time-Varying Systems
V. Rustagi, V. Reddy, A. Boker, C. Sultan, and H. Eldardiry
IEEE American Control Conference 2024

[c7] Learning-based Pareto Optimal Control of Large-Scale Systems with Unknown Slow Dynamics
S. T. Hesarkuchak, A. Boker, V. Reddy, L. Mili, and H. Eldardiry
IEEE International Conference on Decision and Control (CDC) 2024
Acceptance Rate 56.7%

[i1] Data-Driven Near-Optimal Control of Nonlinear Systems over Finite Horizon
V. Reddy, H. Eldardiry, and A. Boker
2023

Computer Vision

[p1] Agile Video Query using Ensembles of Deep Neural Nets
F. Torres, H. Eldardiry, M. Shreve, G. Gavai, and C. Ramos
PATENT 11093798 GRANTED 2021

[p2] System and Method for Performing Collaborative Learning of Machine Representations for a Target Concept
F. Torres and H. Eldardiry
PATENT 17/207385 PUBLISHED 2022

[p3] Method, System, and Manufacture for Inferring User Lifestyle and Preference Information from Images
R. Price, A. Roy, and H. Eldardiry
PATENT 11334933 GRANTED 2022

[p4] System and Method using Augmented Reality for Efficient Collection of Training Data for Machine Learning
M. Shreve, S. Kumar, J. Sun, G. Gavai, R. Price, and H. Eldardiry
PATENT 11978243 GRANTED 2024

[c1] Hybrid Image-based Defect Detection for Railroad Maintenance
G. Gavai, H. Eldardiry, W. Wu, B. Xu, Y. Komatsu, and S. Makino
Society for Imaging Science and Technology Electronic Imaging Symposium 2019

[c2] Collaborative Learning of Concept Representations for Video Data
F. Torres, H. Eldardiry, G. Gavai, and C. Ramos
AAAI Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE) 2019

[i1] UnDiMix: Hard Negative Sampling Strategies for Contrastive Representation Learning
A. Tabassum, M. Wahed, H. Eldardiry, and I. Lourentzou
2022

Graph Learning

[p1] Method and System for Similarity-based Multilabel Learning
H. Eldardiry and R. Rossi
PATENT 11972329 GRANTED 2024

[j1] Interactive Visual Graph Mining and Learning
R. Rossi, N. Ahmed, H. Eldardiry, and R. Zhou ACM Transactions on Intelligent Systems and Technology (TIST) 2018
Impact Factor 2.9

[j2] Ensemble Learning for Relational Data
H. Eldardiry, J. Neville, and R. Rossi Journal of Machine Learning Research (JMLR) 2020
Impact Factor 3.7

[j3] Role-Based Graph Embeddings
N. Ahmed, R. Rossi, J. Lee, T. Willke, R. Zhou, X. Kong, and H. Eldardiry
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022
Impact Factor 8.9

[c1] A Resampling Technique for Relational Data Graphs
H. Eldardiry and J. Neville
ACM Special Interest Group on Knowledge Discovery and Data Mining 2nd Social Network Analysis Workshop (SIGKDD-SNA) 2008
Acceptance Rate 20%

[c2] Multinetwork Fusion for Collective Inference
H. Eldardiry and J. Neville
ACM Special Interest Group on Knowledge Discovery and Data Mining 8th Mining and Learning with Graphs Workshop (SIGKDD-MLG) 2010
Acceptance Rate 19.8%

[c3] Across-Model Collective Ensemble Classification
H. Eldardiry and J. Neville
ACM Conference on Artificial Intelligence (AAAI) 2011
Acceptance Rate 24.8%

[c4] An analysis of How Ensembles of Collective Classifiers Improve Predictions in Graphs
H. Eldardiry and J. Neville
ACM International Conference on Information and Knowledge Management (CIKM) 2012
Acceptance Rate 13.4%

[c5] Ensemble Classification for Relational Domains
H. Eldardiry
AAAI/SIGART Doctoral Consortium at AAAI Conference 2011

[c6] Inductive Representation Learning in Large Attributed Graphs
N. Ahmed, R. Rossi, R. Zhou, J. Lee, X. Kong, T. Willke, and H. Eldardiry
Neural Information Processing Systems Women in Machine Learning Workshop (WiML-NIPS) 2017
Acceptance Rate 21%

[i1] A Framework for Generalizing Graph-based Representation Learning Methods
N. Ahmed, R. Rossi, R. Zhou, J. Lee, X. Kong, T. Willke, and H. Eldardiry
2017

[c7] Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs
R. Rossi, N. Ahmed, R. Zhou, and H. Eldardiry
IEEE International Conference on Big Data 2018
Acceptance Rate 19.7%

[c8] Learning Role-based Graph Embeddings
N. Ahmed, R. Rossi, R. Zhou, J. Lee, X. Kong, T. Willke, and H. Eldardiry
International Joint Conference on Artificial Intelligence, Statistical Relational Artificial Intelligence Workshop (StartAI-IJCAI) 2018
Acceptance Rate 20.5%

[c9] Similarity-based Multilabel Learning
R. Rossi, N. Ahmed, H. Eldardiry, and R. Zhou
IEEE International Joint Conference on Neural Networks (IJCNN) 2018

[c10] role2vec: Role-based Network Embeddings
N. Ahmed, R. Rossi, J. Lee, T. Willke, R. Zhou, X. Kong, and H. Eldardiry
ACM SIGKDD International Workshop on Deep Learning on Graphs: Methods and Applications (DLG) 2019

[t1] Ensemble Classification Techniques for Relational Domains
H. Eldardiry
2012

AI Ethics

[j1] Toward a Policy Approach to Normative Artificial Intelligence Governance: Implications for AI Ethics Education
D. Kim, Q. Zhu, and H. Eldardiry
IEEE Transactions on Technology and Society 2024

[c1] Exploring Approaches to Artificial Intelligence Governance: From Ethics to Policy
D. Kim, Q. Zhu, and H. Eldardiry
IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS) 2023
Honorable Mention Best Paper Award

[c2] A Preliminary Investigation of the Ethics Policy Concerns of Artificial Intelligence: Insights from AI Professionals Working in Policy-Related Roles
Q. Zhu, D. Kim, H. Eldardiry, and M. C. Ausman
IEEE Frontiers in Education Conference (FIE) 2023
Acceptance Rate 25.7%

[c3] Computer Science Student Attitudes Towards AI Ethics and Policy: A Preliminary Investigation
J. Weichert, and H. Eldardiry
IEEE International Symposium on Technology and Society 2024
Acceptance Rate 45%

[i1] Investigating Misinformation in Online Marketplaces: An Audit Study on Amazon
E. Hussein and H. Eldardiry
2020

Cyber Security

[p1] Method and Apparatus for Combining Multidimensional Fraud Measurements for Anomaly Detection
Y. Zhang, J. Liu, and H. Eldardiry
PATENT 0244528 PUBLISHED 2014

[p2] System and Method for Modeling Behavior Change and Consistency to Detect Malicious Insiders
H. Eldardiry, E. Bart, J. Liu, J. Hanley, R. Price, and O. Brdiczka
PATENT 2908495 PUBLISHED 2015

[p3] Detecting Anomalies in Work Practice Data by Combining Multiple Domains of Information
E. Bart, J. Liu, H. Eldardiry, and R. Price
PATENT 9264442 GRANTED 2016

[p4] Computer-Implemented System and Method for Detecting Anomalies using Sample-based Rule Identification
H. Eldardiry, K. Sricharan, D. Greene, and R. Price
PATENT 10140576 GRANTED 2018

[j1] Multisource Fusion for Anomaly Detection: Using Across-Domain and Across-Time Peer-Group Consistency Checks
H. Eldardiry, K. Sricharan, J. Liu, J. Hanley, O. Brdiczka, R. Price, and E. Bart
Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), Special Edition on Insider Threat Detection 2014
Impact Factor 3.1

[c1] Multidomain Information Fusion for Insider Threat Detection
H. Eldardiry, E. Bart, J. Liu, J. Hanley, R. Price, and O. Brdiczka
IEEE Security and Privacy Workshop on Research for Insider Threat (WRIT) 2013
Acceptance Rate 37.5%
Best Paper Award

[c2] Ganging Up on Big Data: Computer-Intermediated Collaborative Analysis
M. Stefik and H. Eldardiry
IEEE International Conference on Collaboration Technologies and Systems (CTS) 2014

[c3] Diagnosing Advanced Persistent Threats
R. Abreu, D. Bobrow, H. Eldardiry, A. Feldman, J. Hanley, T. Honda, J. de Kleer, A. Perez, D. Archer, and D. Burke
International Workshop on Principles of Diagnosis 2015

[c4] Provenance Segmentation
R. Abreu, D. Archer, J. Cheney, E. Chapman, H. Eldardiry, and A. Gascon
Workshop on Theory and Practice of Provenance (TaPP), Provenance Week 2016

[c5] Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments
H. Desai, A. Hilal, and H. Eldardiry
International Conference on Parallel & Distributed Processing Techniques & Applications 2024

[i1] Secure Two-Party Feature Selection
V. Rao, Y. Long, H. Eldardiry, S. Rane, R. Rossi, and F. Torres
2019

Healthcare

[p1] Interactive Remote Patient Monitoring and Condition Management Intervention System
H. Eldardiry, J. Rubin, R. Abreu, S. Ahern, D. Garcia, H. Du, A. Pattekar, and D. Bobrow
PATENT 2017049374 GRANTED 2020

[c1] Fraud Detection for Healthcare
H. Eldardiry, J. Liu, Y. Zhang, and M. Fromherz
ACM Special Interest Group on Knowledge Discovery and Data Mining 1st Data Mining for Healthcare Workshop (SIGKDD-DMH) 2013
Acceptance Rate 17%

[c2] Towards a Mobile and Wearable System for Predicting Panic Attacks
J. Rubin, H. Eldardiry, R. Abreu, S. Ahern, D. Garcia, H. Du, and A. Pattekar
ACM International Conference on Pervasive and Ubiquitous Computing (UbiComp) 2015
Acceptance Rate 25.6%

[c3] A Wearable and Mobile Intervention Delivery System for Individuals with Panic Disorder
L. Cruz, J. Rubin, R. Abreu, S. Ahern, H. Eldardiry, and D. Bobrow
ACM International Conference on Mobile and Ubiquitous Multimedia (MUM) 2015
Acceptance Rate 37.1%

[c4] Time, Frequency & Complexity Analysis for Recognizing Panic States from Physiologic Time-Series
J. Rubin, R. Abreu, S. Ahern, H. Eldardiry, and D. Bobrow
ACM Pervasive Health Conference (PHC) 2016

[c5] Prediction of Stimulation Strength of Transcranial Magnetic Stimulation in the Brain with Deep Convolutional Neural Network based Encoder-Decoder Network
M. Alam, M. Tashli, J. Gong, C. Lewis , C. Peterson, H. Eldardiry, R. Hadimani, J. Atulasimha
IEEE Conference on Magnetism and Magnetic Materials 2022

[c6] Prediction of Electric Fields Induced by Transcranial Magnetic Stimulation in the Brain using a Deep Encoder-Decoder Convolutional Neural Network
M. Tashli, M. Alam, J. Gong, C. Lewis, C. Peterson, H. Eldardiry, J. Atulasimha, and R. Hadimani
IEEE EMBS Conference on Neural Engineering 2023
Acceptance Rate 24%

[c7] Prediction of Electric Fields Induced by Transcranial Magnetic Stimulation in the Brain using a Deep Encoder-Decoder Convolutional Neural Network
M. Tashli, M. Alam, J. Gong, C. Lewis, C. Peterson, H. Eldardiry, J. Atulasimha, R. Hadimani
Bulletin of the American Physical Society 2023

Transportation

[p1] Computer-Implemented System and Method for Analyzing Organizational Performance from Episodic Data
M. Stefik, D. Bobrow, H. Eldardiry, R. Krivacic, P. Liu, S. Tarkan, and E. Wu
PATENT 10025829 GRANTED 2018

[p2] Computer-Implemented System and Method for Performing Event Trend Analysis
M. Stefik, D. Bobrow, H. Eldardiry, R. Krivacic, P. Liu, S. Tarkan, and E. Wu
PATENT 16036797 PUBLISHED 2018

[p3] System and Method for Coordinating Parking Enforcement Officer Patrol in Real Time with the aid of a Digital Computer
M. Stefik, M. Singhal, K. Albanese, F. Ali, E. bier, D. Bobrow, E. Cardenas, M. Darst, H. Eldardiry, G. Gavai, R. Krivacic, P. Liu, and S. Tarkan
PATENT 10817814 GRANTED 2020

[p4] System and Method for Facilitating Parking Enforcement Officer Dispatching in Real Time with the aid of a Digital Computer
M. Stefik, M. Singhal, K. Albanese, F. Ali, E. bier, D. Bobrow, E. Cardenas, M. Darst, H. Eldardiry, G. Gavai, R. Krivacic, P. Liu, and S. Tarkan
PATENT 11062241 GRANTED 2021

[p5] System and Method for Monitoring Parking Enforcement Officer Performance in Real Time with the aid of a Digital Computer
M. Stefik, M. Singhal, K. Albanese, F. Ali, E. bier, D. Bobrow, E. Cardenas, M. Darst, H. Eldardiry, G. Gavai, R. Krivacic, P. Liu, and S. Tarkan
PATENT 11120375 GRANTED 2021

[p6] System and Method for Facilitating Parking Enforcement Officer Performance in Real Time with the aid of a Digital Computer
M. Stefik, M. Singhal, K. Albanese, F. Ali, E. bier, D. Bobrow, E. Cardenas, M. Darst, H. Eldardiry, G. Gavai, R. Krivacic, P. Liu, and S. Tarkan
PATENT 11126942 GRANTED 2021

[p7] System and Method for Managing Coverage of Parking Enforcement for a Neighborhood with the aid of a Digital Computer
M. Stefik, M. Singhal, K. Albanese, F. Ali, E. bier, D. Bobrow, E. Cardenas, M. Darst, H. Eldardiry, G. Gavai, R. Krivacic, P. Liu, and S. Tarkan
PATENT 11144855 GRANTED 2021

[p8] Computer-Implemented System and Method for Generating Recurring Events
M. Stefik, D. Bobrow, H. Eldardiry, R. Krivacic, P. Liu, S. Tarkan, and E. Wu
PATENT 11934410 GRANTED 2024

[j1] COVID-19 Pandemic Impacts on Traffic System Delay, Fuel Consumption, and Emissions
J. Du, H.A. Rakha, F Filali, and H. Eldardiry
International Journal of Transportation Science and Technology 2020
Impact Factor 4.3
Cite Score 7.2
Most Cited Award

[j2] Predicting Coordinated Actuated Traffic Signal Change Times using Long Short-Term Memory Neural Networks
S. Eteifa, H.A. Rakha, and H. Eldardiry
Transportation Research Record (TRR) 2021 Impact Factor 1.9

[c1] Predicting Coordinated Actuated Traffic Signal Change Times using LSTM Neural Networks
S. Eteifa, H. Rakha, H. Eldardiry
Transportation Research Board (TRB) Annual Meeting 2021
Paper TRBAM-21-02753
Acceptance Rate 45%

[r1] Estimating Switching Times of Actuated Coordinated Traffic Signals: A Deep Learning Approach S. Eteifa, H. Rakha, H. Eldardiry US Department of Transportation, UMEC-039, 2021

[c2] Assessing the Robustness of LSTM Neural Networks for the Prediction of Actuated-Coordinated Traffic Signal Change Times
S. Eteifa, H. A. Rakha, and H. Eldardiry
Transportation Research Board (TRB) Annual Meeting 2022
Acceptance Rate 45%