Inventor
Grégory Mermoud
Inventor
Veyras, CH
Overview
Patents· 114 as inventor
Public. Assignee & technology derived from the patent record. Each patent links to its LexDana page.
H04Lprimary
H04LTransmission of digital information, e.g. telegraphic communication47%
G06NComputing arrangements based on specific computational models22%
H04WWireless communication networks9%
G06FElectric digital data processing9%
Y04SSystems integrating technologies related to power network operation, communication or information technologies for improving the electrical power generation, transmission, distribution, management or usage, i.e. smart grids6%
G06KGraphical data reading2%
Y02DClimate change mitigation technologies in information and communication technologies [ict], i.e. information and communication technologies aiming at the reduction of their own energy use2%
G06QInformation and communication technology [ict] specially adapted for administrative, commercial, financial, managerial or supervisory purposes1%
Y02BClimate change mitigation technologies related to buildings, e.g. housing, house appliances or related end-user applications1%
A61KPreparations for medical, dental or toiletry purposes0%
PatentTitleYear
11,128,534Refinement of device classification and clustering based on policy coloring202111,108,651Adaptive oscillation control for network paths using machine learning202111,100,364Active learning for interactive labeling of new device types based on limited feedback202111,063,836Mixing rule-based and machine learning-based indicators in network assurance systems202111,063,842Forecasting network KPIs202111,063,861Ensuring backup path performance for predictive routing in SD-WANs202111,049,033Deriving highly interpretable cognitive patterns for network assurance202111,032,181Machine learning approach for dynamic adjustment of BFD timers in SD-WAN networks202111,025,486Cascade-based classification of network devices using multi-scale bags of network words202111,018,943Learning packet capture policies to enrich context for device classification systems202110,999,146Learning when to reuse existing rules in active labeling for device classification202110,965,556Sampling traffic telemetry for device classification with distributed probabilistic data structures202110,965,562Dynamically adjusting prediction ranges in a network assurance system202110,951,490Intelligent tunnel assignment and dynamic SLA threshold configuration to increase availability and utilization of SD-WAN tunnels202110,944,661Wireless throughput issue detection using coarsely sampled application activity202110,931,692Filtering mechanism to reduce false positives of ML-based anomaly detectors and classifiers202110,924,353Progressive refinement of device classifications using colored device and policy trees202110,924,393Per-flow call admission control using a predictive model to estimate tunnel QoS in SD-WAN networks202110,917,803Automatic characterization of AP behaviors202110,917,302Learning robust and accurate rules for device classification from clusters of devices202110,880,186Root cause analysis of seasonal service level agreement (SLA) violations in SD-WAN tunnels202010,826,772Removal of environment and local context from network traffic for device classification202010,785,090Using machine learning based on cross-signal correlation for root cause analysis in a network assurance service202010,778,566Pattern discovery from high dimensional telemetry data using machine learning in a network assurance service202010,771,313Using random forests to generate rules for causation analysis of network anomalies202010,771,331Closed loop control for fixing network configuration issues to aid in device classification202010,764,310Distributed feedback loops from threat intelligence feeds to distributed machine learning systems202010,749,768Using a multi-network dataset to overcome anomaly detection cold starts202010,742,486Analyzing common traits in a network assurance system202010,735,274Predicting and forecasting roaming issues in a wireless network202010,728,775Roaming and transition patterns coding in wireless networks for cognitive visibility202010,701,092Estimating feature confidence for online anomaly detection202010,701,095Hierarchical models using self organizing learning topologies202010,700,984Differentiating devices with similar network footprints using active techniques202010,680,919Eliminating bad rankers and dynamically recruiting rankers in a network assurance system202010,673,728Dynamic selection of models for hybrid network assurance architectures202010,659,333Detection and analysis of seasonal network patterns for anomaly detection202010,616,251Anomaly selection using distance metric-based diversity and relevance202010,601,676Cross-organizational network diagnostics with privacy awareness202010,574,512Deep learning architecture for collaborative anomaly detection and explanation202010,552,763Constraint-aware resource synchronization across hyper-distributed learning systems202010,540,605Traffic-based inference of influence domains in a network by using learning machines202010,536,344Privacy-aware model generation for hybrid machine learning systems202010,484,255Trustworthiness index computation in a network assurance system based on data source health monitoring201910,484,406Data visualization in self-learning networks201910,469,511User assistance coordination in anomaly detection201910,440,577Hard/soft finite state machine (FSM) resetting approach for capturing network telemetry to improve device classification201910,432,661Score boosting strategies for capturing domain-specific biases in anomaly detection systems201910,425,294Distributed and learning machine-based approach to gathering localized network dynamics201910,404,727Self organizing learning topologies201910,404,728Learning internal ranges from network traffic data to augment anomaly detection systems201910,389,613Selective and dynamic application-centric network measurement infrastructure201910,389,606Merging of scored records into consistent aggregated anomaly messages201910,389,741Edge-based detection of new and unexpected flows201910,346,277Adaptive sampling to build accurate application throughput models201910,341,885Roaming and transition patterns coding in wireless networks for cognitive visibility201910,320,824Anomaly detection using network traffic data201910,320,825Fingerprint merging and risk level evaluation for network anomaly detection201910,277,476Optimizing network parameters based on a learned network performance model201910,243,980Edge-based machine learning for encoding legitimate scanning201910,220,167Mechanisms to prevent anomaly detectors from learning anomalous patterns201910,218,726Dynamic device clustering using device profile information201910,212,044Sparse coding of hidden states for explanatory purposes201910,193,912Warm-start with knowledge and data based grace period for live anomaly detection systems201910,187,413Network-based approach for training supervised learning classifiers201910,182,066Cold start mechanism to prevent compromise of automatic anomaly detection systems201910,171,332Probing technique for predictive routing in computer networks201910,164,991Hierarchical models using self organizing learning topologies201810,103,970Using statistical and historical information of topology metrics in constrained networks201810,075,360Monitoring node liveness in low-power lossy networks201810,062,036Predictive path characteristics based on non-greedy probing201810,063,578Network-centric visualization of normal and anomalous traffic patterns201810,063,575Anomaly detection in a network coupling state information with machine learning outputs20189,923,911'Anomaly detection supporting new application deployments'20189,906,425'Selective and dynamic application-centric network measurement infrastructure'20189,860,140'Dynamically adjusting a set of monitored network properties using distributed learning machine feedback'20189,838,409Cold start mechanism to prevent compromise of automatic anomaly detection systems20179,836,696Distributed machine learning autoscoring20179,794,145'Scheduling predictive models for machine learning systems'20179,774,522'Triggering reroutes using early learning machine-based prediction of failures'20179,749,188'Predictive networking architecture for next-generation multiservice, multicarrier WANs'20179,734,457'Learning data processor for distributing learning machines across large-scale network infrastructures'20179,736,056'Centralized predictive routing using delay predictability measurements'20179,722,905'Probing technique for predictive routing in computer networks'20179,705,766'Distributed liveness reporting in a computer network'20179,667,501'Pre-processing framework component of distributed intelligence architectures'20179,652,720'Triggering on-the-fly requests for supervised learning of learning machines'20179,626,628'Point-to-multipoint communication infrastructure for expert-based knowledge feed-back using learning machines'20179,628,362'Learning machine based detection of abnormal network performance'20179,563,440'Fast learning to train learning machines using smart-triggered reboot'20179,565,111'Mixed centralized/distributed algorithm for risk mitigation in sparsely connected networks'20179,553,773'Learning machine based computation of network join times'20179,553,813'Selectively employing dynamic traffic shaping'20179,553,772'Dynamically determining node locations to apply learning machine based network performance improvement'20179,547,828'Hierarchical hybrid batch-incremental learning'20179,544,162'Lightweight multicast acknowledgement technique in communication networks'20179,544,220'Binary search-based approach in routing-metric agnostic topologies for node selection to enable effective learning machine mechanisms'20179,525,617'Distributed predictive routing using delay predictability measurements'20169,503,359'Reducing floating DAGs and stabilizing topology in LLNs using learning machines'20169,491,076'Learning end-to-end delays in computer networks from sporadic round-trip delay probing'20169,485,153'Dynamic network-driven application packet resizing'20169,473,364'Learning machine-based granular segment/path characteristic probing technique'20169,443,204'Distributed architecture for machine learning based computation using a decision control point'20169,436,917'Accelerating learning by sharing information between multiple learning machines'20169,432,312'Proactive and selective time-stamping of packet headers based on quality of service experience and node location'20169,432,248'Dynamically computing fate sharing in computer networks using learning machines'20169,426,040'Mixed distributed/centralized routing techniques based on closed-loop feedback from a learning machine to avoid dark zones'20169,418,340'Fast learning to train learning machines using shadow joining'20169,385,933'Remote probing for remote quality of service monitoring'20169,374,281'Learning machine-based mechanism to improve QoS dynamically using selective tracking of packet retransmissions'20169,356,875'Using statistical and historical information of topology metrics in constrained networks'20169,344,355'Handling unacceptable asymmetrical communication paths in computer networks'20169,338,065'Predictive learning machine-based approach to detect traffic outside of service level agreements'20169,178,772'Cumulative node heartbeat relay agents in constrained computer networks'2015Career & activity timeline
Assembled from patent assignee/location history and declaration credentials.
2015–2021Patents assigned to CISCO TECH INC (114)· patent assignee history
2015–2021Based in Veyras, CH· patent location history
2017Patents assigned to CISCO SYSTEMS INC (1)· patent assignee history
2021Based in Venthone, CH· patent location history
Inventor activity
Assignee and location history derived from the patent record.
Assignees
| Assignee | Patents | Span |
|---|---|---|
| CISCO TECH INC | 114 | 2015–2021 |
| CISCO SYSTEMS INC | 1 | 2017 |
Locations
| Location | Patents | Span |
|---|---|---|
| Veyras, CH | 111 | 2015–2021 |
| Venthone, CH | 1 | 2021 |