Scalable load disaggregation system using distributed electrical signature detection. - Deokwoo Jung; Hoang Hai Nguyen; Sreejaya Viswanathan; Binbin Chen 001; David K. Y. Yau (BuildSys@SenSys, 2012)

Using anisotropic magnetoresistive (AMR) sensor arrays for electric sub-metering. - Sreejaya Viswanathan; Binbin Chen 001; Hoang Hai Nguyen; Jerry T. Chiang; Deokwoo Jung; David K. Y. Yau (SenSys, 2012)

EnergyTrack: Sensor-Driven Energy Use Analysis System. - Deokwoo Jung; Varun Badrinath Krishna; Ngo Quang Minh Khiem; Hoang Hai Nguyen; David K. Y. Yau (BuildSys@SenSys, 2013)

Profit-Optimal and Stability-Aware Load Curtailment in Smart Grids. - Xin Lou; David K. Y. Yau; Hoang Hai Nguyen; Binbin Chen 001 (IEEE Trans. Smart Grid, 2013)

Safety-assured collaborative load management in smart grids. - Hoang Hai Nguyen; Rui Tan 001; David K. Y. Yau (ICCPS, 2014)

JICE: Joint data compression and encryption for wireless energy auditing networks. - Sheng-Yuan Chiu; Hoang Hai Nguyen; Rui Tan 001; David K. Y. Yau; Deokwoo Jung (SECON, 2015)

Tracking appliance usage information using harmonic signature sensing. - Deokwoo Jung; Hoang Hai Nguyen; David K. Y. Yau (SmartGridComm, 2015)

Optimal False Data Injection Attack against Automatic Generation Control in Power Grids. - Rui Tan 001; Hoang Hai Nguyen; Yi Shyh Eddy Foo; Xinshu Dong; David K. Y. Yau; Zbigniew T. Kalbarczyk; Ravishankar K. Iyer; Hoay Beng Gooi (ICCPS, 2016)

An Approach to Incorporating Uncertainty in Network Security Analysis. - Hoang Hai Nguyen; Kartik Palani; David M. Nicol (HotSoS, 2017)

Melody: Synthesized datasets for evaluating intrusion detection systems for the smart grid. - Vignesh Babu; Rakesh Kumar 002; Hoang Hai Nguyen; David M. Nicol; Kartik Palani; Elizabeth Reed (WSC, 2017)

Collaborative Load Management with Safety Assurance in Smart Grids. - Rui Tan 001; Hoang Hai Nguyen; David K. Y. Yau (ACM Trans. Cyber Phys. Syst., 2017)

Modeling and Mitigating Impact of False Data Injection Attacks on Automatic Generation Control. - Rui Tan 001; Hoang Hai Nguyen; Yi Shyh Eddy Foo; David K. Y. Yau; Zbigniew Kalbarczyk; Ravishankar K. Iyer; Hoay Beng Gooi (IEEE Trans. Inf. Forensics Secur., 2017)

A Joint Data Compression and Encryption Approach for Wireless Energy Auditing Networks. - Rui Tan 001; Sheng-Yuan Chiu; Hoang Hai Nguyen; David K. Y. Yau; Deokwoo Jung (ACM Trans. Sens. Networks, 2017)

Extensions of Network Reliability Analysis. - Hoang Hai Nguyen; Kartik Palani; David M. Nicol (DSN, 2019)

Towards nominal stability certification of deep learning-based controllers. - Hoang Hai Nguyen; Janine Matschek; Tim Zieger; Anton Savchenko; Navid Noroozi; Rolf Findeisen (ACC, 2020)

An uncertain graph-based approach for cyber-security risk assessment. - Hoang Hai Nguyen (HotSoS, 2020)

Estimating Loss Due to Cyber-attack in the Presence of Uncertainty. - Hoang Hai Nguyen; David M. Nicol (TrustCom, 2020)

Multiscale online media simulation with SocialCube. - Tarek F. Abdelzaher; Jiawei Han 001; Yifan Hao; Andong Jing; Dongxin Liu; Shengzhong Liu; Hoang Hai Nguyen; David M. Nicol; Huajie Shao; Tianshi Wang; Shuochao Yao; Yu Zhang 044; et al. (Comput. Math. Organ. Theory, 2020)

Stability Certificates for Neural Network Learning-based Controllers using Robust Control Theory. - Hoang Hai Nguyen; Tim Zieger; Sandra C. Wells; Anastasia Nikolakopoulou; Richard D. Braatz; Rolf Findeisen (ACC, 2021)

On the String Matching with k Differences in DNA Databases. - Yangjun Chen; Hoang Hai Nguyen (Proc. VLDB Endow., 2021)

Safe Exploration Learning Supported Model Predictive Control of Repetitive Processes. - Bruno Morabito; Hoang Hai Nguyen; Janine Matschek; Rolf Findeisen (ACC, 2022)

Non-diverging neural networks supported tube model predictive control. - Tim Zieger; Hoang Hai Nguyen; Erik Schulz; Thimo Oehlschlägel; Rolf Findeisen (CDC, 2022)

Exploiting monotonicity and symmetry for efficient simulation of highly dependable systems. - Hoang Hai Nguyen; Kartik Palani; David M. Nicol (DSN, 2022)

High-probability stable Gaussian process-supported model predictive control for Lur'e systems. - Hoang Hai Nguyen; Maik Pfefferkorn; Rolf Findeisen (Eur. J. Control, 2022)

A Novel Deep Learning Approach for Breast Cancer Detection on Screening Mammography. - Carson K. Leung; Hoang Hai Nguyen (BIBE, 2023)

Learning a Gaussian Process Approximation of a Model Predictive Controller with Guarantees. - Alexander Rose 002; Maik Pfefferkorn; Hoang Hai Nguyen; Rolf Findeisen (CDC, 2023)

Machine Learning for Process Control of (Bio)Chemical Processes. - Andreas Himmel; Janine Matschek; Rudolph Kok; Bruno Morabito; Hoang Hai Nguyen; Rolf Findeisen (CoRR, 2023)

LMI-based Data-Driven Robust Model Predictive Control. - Hoang Hai Nguyen; Maurice Friedel; Rolf Findeisen (CoRR, 2023)

Privacy-Preserving Publishing with Generative Adversarial Network (GAN) for Supporting Contact Tracing of Infectious Diseases. - Anifat M. Olawoyin; Carson K. Leung; Hoang Hai Nguyen; Alfredo Cuzzocrea (IEEE Big Data, 2024)

Guaranteed Collision Avoidance for Autonomous Vehicles Fusing Model Predictive Control and Data Driven Reachability Analysis. - Tingzhong Fu; Hoang Hai Nguyen; Rolf Findeisen (ECC, 2024)

SREMIC: Spatial Relation Extraction-based Malware Image Classification. - Inzamamul Alam; Md. Samiullah 001; Upama Kabir; Simon S. Woo; Carson K. Leung; Hoang Hai Nguyen (IMCOM, 2024)