Sandeep Kumar Singh
Orcid: 0000-0002-8734-9832Affiliations:
- University of California, Davis, USA
- German Aerospace Center (DLR), Germany (former)
- Technical University of Braunschweig, Germany (former)
According to our database1,
Sandeep Kumar Singh
authored at least 30 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
2023
Experimental Assessment of Reversibility-Aware Deep Reinforcement Learning for Optical Data Center Network Reconfiguration.
Proceedings of the International Conference on Optical Network Design and Modeling, 2023
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023
2022
Leveraging Graph and Deep Learning Uncertainties to Detect Anomalous Maritime Trajectories.
IEEE Trans. Intell. Transp. Syst., 2022
Proceedings of the International Conference on Optical Network Design and Modeling, 2022
Multi-Cluster Reconfiguration with Traffic Prediction in Hyper-Flex-LION Architecture.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022
2021
Leveraging Evidential Deep Learning Uncertainties with Graph-based Clustering to Detect Anomalies.
CoRR, 2021
2020
Stochastic Analysis and Learning-based Algorithms for Resource Provisioning in Optical Networks (Stochastische Analyse und lernbasierte Algorithmen zur Ressourcenbereitstellung in optischen Netzwerken)
PhD thesis, 2020
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2020
On the Effectiveness of AI-Assisted Anomaly Detection Methods in Maritime Navigation.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020
2019
Machine Learning Techniques to Detecting and Preventing Jamming Attacks in Optical Networks.
CoRR, 2019
Computing Blocking Probabilities in Elastic Optical Networks with Spectrum Defragmentation.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
On Detecting and Preventing Jamming Attacks with Machine Learning in Optical Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
Opt. Switch. Netw., 2018
Improving Animal-Human Cohabitation with Machine Learning in Fiber-Wireless Networks.
J. Sens. Actuator Networks, 2018
Machine-Learning-Based Prediction for Resource (Re)allocation in Optical Data Center Networks.
JOCN, 2018
CoRR, 2018
2017
Analytical performance modeling of spectrum defragmentation in elastic optical link networks.
Opt. Switch. Netw., 2017
Efficient Spectrum Defragmentation With Holding-Time Awareness in Elastic Optical Networks.
JOCN, 2017
An Analytical Approach to Computing Blocking Probabilities in Flexi-Grid Optical Networks.
CoRR, 2017
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2017
A combined optical spectrum scrambling and defragmentation in multi-core fiber networks.
Proceedings of the IEEE International Conference on Communications, 2017
2016
Non-disruptive spectrum defragmentation with holding-time awareness in optical networks.
Proceedings of the 2016 International Conference on Optical Network Design and Modeling, 2016
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016
Balancing Security and blocking performance with reconfiguration of the elastic optical spectrum.
Proceedings of the 39th International Convention on Information and Communication Technology, 2016
Balancing Data Security and Blocking Performance with Spectrum Randomization in Optical Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016
Proceedings of the 2016 IEEE International Conference on Advanced Networks and Telecommunications Systems, 2016
2015
IEEE Commun. Surv. Tutorials, 2015
Proceedings of the Twenty First National Conference on Communications, 2015