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2020 – today
- 2024
[c22]Tingzhong Fu, Hoang Hai Nguyen, Rolf Findeisen:
Guaranteed Collision Avoidance for Autonomous Vehicles Fusing Model Predictive Control and Data Driven Reachability Analysis. ECC 2024: 2286-2291- [c21]Inzamamul Alam, Md. Samiullah, Upama Kabir, Simon S. Woo, Carson K. Leung, Hoang Hai Nguyen:
SREMIC: Spatial Relation Extraction-based Malware Image Classification. IMCOM 2024: 1-8 - 2023
- [c20]Carson K. Leung, Hoang Hai Nguyen:
A Novel Deep Learning Approach for Breast Cancer Detection on Screening Mammography. BIBE 2023: 277-284 - [c19]Alexander Rose, Maik Pfefferkorn, Hoang Hai Nguyen, Rolf Findeisen:
Learning a Gaussian Process Approximation of a Model Predictive Controller with Guarantees. CDC 2023: 4094-4099 - [i2]Andreas Himmel, Janine Matschek, Rudolph Kok, Bruno Morabito, Hoang Hai Nguyen, Rolf Findeisen:
Machine Learning for Process Control of (Bio)Chemical Processes. CoRR abs/2301.06073 (2023) - [i1]Hoang Hai Nguyen, Maurice Friedel, Rolf Findeisen:
LMI-based Data-Driven Robust Model Predictive Control. CoRR abs/2303.04777 (2023) - 2022
- [j7]Hoang Hai Nguyen, Maik Pfefferkorn
, Rolf Findeisen:
High-probability stable Gaussian process-supported model predictive control for Lur'e systems. Eur. J. Control 68: 100695 (2022) - [c18]Bruno Morabito, Hoang Hai Nguyen, Janine Matschek, Rolf Findeisen:
Safe Exploration Learning Supported Model Predictive Control of Repetitive Processes. ACC 2022: 2631-2636 - [c17]Tim Zieger, Hoang Hai Nguyen, Erik Schulz, Thimo Oehlschlägel, Rolf Findeisen:
Non-diverging neural networks supported tube model predictive control. CDC 2022: 3066-3073 - [c16]Hoang Hai Nguyen, Kartik Palani, David M. Nicol:
Exploiting monotonicity and symmetry for efficient simulation of highly dependable systems. DSN 2022: 307-318 - 2021
- [j6]Yangjun Chen, Hoang Hai Nguyen:
On the String Matching with k Differences in DNA Databases. Proc. VLDB Endow. 14(6): 903-915 (2021) - [c15]Hoang Hai Nguyen, Tim Zieger, Sandra C. Wells, Anastasia Nikolakopoulou, Richard D. Braatz, Rolf Findeisen:
Stability Certificates for Neural Network Learning-based Controllers using Robust Control Theory. ACC 2021: 3564-3569 - 2020
- [j5]Tarek F. Abdelzaher, Jiawei Han, Yifan Hao, Andong Jing, Dongxin Liu, Shengzhong Liu, Hoang Hai Nguyen, David M. Nicol, Huajie Shao, Tianshi Wang, Shuochao Yao, Yu Zhang, Omar Malik, Stephen Dipple, James Flamino, Fred Buchanan, Sam Cohen, György Korniss, Boleslaw K. Szymanski:
Multiscale online media simulation with SocialCube. Comput. Math. Organ. Theory 26(2): 145-174 (2020) - [c14]Hoang Hai Nguyen, Janine Matschek, Tim Zieger, Anton Savchenko, Navid Noroozi, Rolf Findeisen:
Towards nominal stability certification of deep learning-based controllers. ACC 2020: 3886-3891 - [c13]Hoang Hai Nguyen:
An uncertain graph-based approach for cyber-security risk assessment. HotSoS 2020: 19:1-19:2 - [c12]Hoang Hai Nguyen, David M. Nicol:
Estimating Loss Due to Cyber-attack in the Presence of Uncertainty. TrustCom 2020: 361-369
2010 – 2019
- 2019
- [c11]Hoang Hai Nguyen, Kartik Palani, David M. Nicol:
Extensions of Network Reliability Analysis. DSN 2019: 88-99 - 2017
- [j4]Rui Tan, Hoang Hai Nguyen, David K. Y. Yau:
Collaborative Load Management with Safety Assurance in Smart Grids. ACM Trans. Cyber Phys. Syst. 1(2): 12:1-12:27 (2017) - [j3]Rui Tan, Hoang Hai Nguyen, Yi Shyh Eddy Foo, David K. Y. Yau, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Hoay Beng Gooi:
Modeling and Mitigating Impact of False Data Injection Attacks on Automatic Generation Control. IEEE Trans. Inf. Forensics Secur. 12(7): 1609-1624 (2017) - [j2]Rui Tan, Sheng-Yuan Chiu, Hoang Hai Nguyen, David K. Y. Yau, Deokwoo Jung:
A Joint Data Compression and Encryption Approach for Wireless Energy Auditing Networks. ACM Trans. Sens. Networks 13(2): 9:1-9:32 (2017) - [c10]Hoang Hai Nguyen, Kartik Palani, David M. Nicol:
An Approach to Incorporating Uncertainty in Network Security Analysis. HotSoS 2017: 74-84 - [c9]Vignesh Babu, Rakesh Kumar, Hoang Hai Nguyen, David M. Nicol, Kartik Palani, Elizabeth Reed:
Melody: Synthesized datasets for evaluating intrusion detection systems for the smart grid. WSC 2017: 1061-1072 - 2016
- [c8]Rui Tan, Hoang Hai Nguyen, Yi Shyh Eddy Foo, Xinshu Dong, David K. Y. Yau, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer, Hoay Beng Gooi:
Optimal False Data Injection Attack against Automatic Generation Control in Power Grids. ICCPS 2016: 2:1-2:10 - 2015
- [c7]Sheng-Yuan Chiu, Hoang Hai Nguyen, Rui Tan, David K. Y. Yau, Deokwoo Jung:
JICE: Joint data compression and encryption for wireless energy auditing networks. SECON 2015: 453-461 - [c6]Deokwoo Jung, Hoang Hai Nguyen, David K. Y. Yau:
Tracking appliance usage information using harmonic signature sensing. SmartGridComm 2015: 459-465 - 2014
- [c5]Hoang Hai Nguyen, Rui Tan, David K. Y. Yau:
Safety-assured collaborative load management in smart grids. ICCPS 2014: 151-162 - 2013
- [j1]Xin Lou, David K. Y. Yau, Hoang Hai Nguyen, Binbin Chen:
Profit-Optimal and Stability-Aware Load Curtailment in Smart Grids. IEEE Trans. Smart Grid 4(3): 1411-1420 (2013) - [c4]Deokwoo Jung, Varun Badrinath Krishna, Ngo Quang Minh Khiem, Hoang Hai Nguyen, David K. Y. Yau:
EnergyTrack: Sensor-Driven Energy Use Analysis System. BuildSys@SenSys 2013: 6:1-6:8 - [c3]Varun Badrinath Krishna, Deokwoo Jung, Ngo Quang Minh Khiem, Hoang Hai Nguyen, David K. Y. Yau:
EnergyTrack: Sensor-Driven Energy Use Analysis System. BuildSys@SenSys 2013: 38:1-38:2 - 2012
- [c2]Deokwoo Jung, Hoang Hai Nguyen, Sreejaya Viswanathan, Binbin Chen, David K. Y. Yau:
Scalable load disaggregation system using distributed electrical signature detection. BuildSys@SenSys 2012: 193-194 - [c1]Sreejaya Viswanathan, Binbin Chen, Hoang Hai Nguyen, Jerry T. Chiang, Deokwoo Jung, David K. Y. Yau:
Using anisotropic magnetoresistive (AMR) sensor arrays for electric sub-metering. SenSys 2012: 357-358
Coauthor Index
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