Proceedings of the IEEE
A cyber-physical systems approach to data center energy efficiency, coupling computational load management with thermal and cooling control through an integrated modelling and optimisation framework.
Peer-reviewed papers and patents across control, autonomous driving, energy and power systems.
Journal Articles
Book Chapters
Control and Optimization Methods for Electric Smart Grids · Springer
Book chapter covering models and control strategies for operating data centers as flexible loads in the smart grid, exploiting demand-response capabilities to reduce costs and support grid stability.
Conference Papers
24th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)
Adaptive unicast/multicast switching strategies for reliable OTA data delivery to multiple Wi-Fi receivers under uncertain channel conditions, reducing transmissions by up to 75% over static strategies.
ACM Computer Science in Cars Symposium (CSCS 2019)
Two complementary approaches for online HD map validation: a model-based framework and a deep similarity learning technique, enabling real-time detection of map inconsistencies from live sensor data.
18th IFAC World Congress 2011
A cyber-physical approach to data center control as smart grid nodes, explicitly modelling computational and thermal dynamics to maximise financial returns from demand-response participation.
IEEE Conference on Decision and Control (CDC 2010)
A real-time optimisation approach for dynamic power allocation across server farms, balancing computational performance against energy consumption under time-varying workloads and power caps.
IEEE Conference on Decision and Control (CDC 2010)
A hierarchical control architecture for data center energy management, decomposing the problem into fast server-level and slower thermal-level layers to enable scalable coordinated optimisation.
ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS 2010)
A cyber-physical systems framework for data center energy management that explicitly models the coupling between computation and thermal dynamics, enabling coordinated server and cooling control.
Workshop Papers
Workshop on Online Map Validation, IEEE Intelligent Vehicles Symposium (IV)
A model-based method for HD map validation using spatial and temporal correlation of smart sensors, fusing independent regional assessments to identify map areas inconsistent with live sensor data.
IV 2020 Workshop on Online Map Validation
A deep learning classifier based on Siamese Network architecture for validating HD map data against live sensor readings. Reaches an F1 score of 89.1%.
Applied Verification for Continuous and Hybrid Systems (ARCH 2015)
A publicly available simplified hybrid model of a freight train air brake system, proposed as a benchmark for verification tools applied to cyber-physical systems with safety constraints.
Workshop on Feedback Control Implementation and Design in Computing Systems and Networks (FeBID 2009)
A unified modelling approach that couples thermal and computational dynamics of data centers, enabling coordinated optimisation of cooling and server workloads for improved energy efficiency.
USENIX Workshop on Power Aware Computing and Systems (HotPower 2008)
Joint optimisation of cooling systems and workload placement in data centers, exploiting their thermal coupling to reduce total energy consumption compared to independently managed subsystems.
Thesis
PhD Thesis · Carnegie Mellon University
PhD thesis proposing a cyber-physical systems approach to data center energy management, integrating thermal and computational models under a unified MPC framework to minimise energy consumption while meeting SLA constraints.
Patents
PatentDE102026127891.4
Bayerische Motoren Werke AG
A method for detecting unauthorized in-vehicle communications at run-time by monitoring software behaviour in a vehicle.
PatentDE102026105941.1
Bayerische Motoren Werke AG
A method and control unit for commissioning vehicle components, in particular electronic control units, during vehicle manufacturing.
PatentDE102026113645.1
Bayerische Motoren Werke AG
A generic sensor-fusion-based approach for detecting partial blindness across multiple sensor types and technologies, requiring minimal per-sensor tuning.
PatentDE102025139843.7
Bayerische Motoren Werke AG
A method for efficiently programming electronic control units (ECUs) on an automotive factory assembly line using a combined unicast/multicast communication strategy between access points and ECUs.
PatentUS11320794B2
GE Infrastructure Technology LLC
A control architecture for grid-connected generating units that estimates network characteristics in real time to detect high rate-of-change-of-frequency (RoCoF) events and switches the unit's operational mode to ride through grid frequency disturbances without tripping.
PatentEP4261105A1
Bayerische Motoren Werke AG
A driver assistance system for automated vehicles that uses an adversarial unit to generate environment hypotheses, enabling robust trajectory planning under environmental uncertainty.
PatentWO2022179769A1
Bayerische Motoren Werke AG
A system for increasing the degree of automation of a driver assistance system by leveraging sensors and computing units of surrounding traffic participants.
PatentDE102021110835A1
Bayerische Motoren Werke AG
A method for estimating object detection false-negative rates in a motor vehicle by matching sensor output data against a database of environmental states, each annotated with the corresponding detection failure probability.
PatentDE102021102199A1
Bayerische Motoren Werke AG
A method for estimating the runtime detection range of a vehicle sensor by tracking repeatedly confirmed object detections, applying ego-motion compensation, and extrapolating across object classes via a cross-class model.
PatentDE102021101805A1
Bayerische Motoren Werke AG
A camera-based driver monitoring system that uses a neural network to determine driver attentiveness from face position, gaze direction, and arm/hand pose, enabling partially automated longitudinal and lateral vehicle guidance.
PatentWO2022152435A1
Bayerische Motoren Werke AG
An apparatus for controlling safety functions of a motor vehicle by determining the current driving situation, deriving the required safety level, and controlling safety functions accordingly.
PatentEP3958186A1
Bayerische Motoren Werke AG
A method for constructing a Bayesian network that detects blockage of multiple vehicle sensors by combining prior probabilities of sensor blockage and target presence with conditional detection probabilities.
PatentEP3901661B1
Bayerische Motoren Werke AG
A control unit for autonomous vehicles that computes an observability value for each location in the environment — indicating how well onboard sensors can perceive it — and adapts vehicle operation accordingly.
A Product for evaluating the reliability of static maps and identifying changes in road conditions
2020PatentCN11160581B
BMW AG
A product for evaluating the reliability of static maps and identifying changes in road conditions.
PatentDE102019134766A1
Bayerische Motoren Werke AG
A modeling unit for autonomous vehicles that fuses data from multiple heterogeneous sensors into an environment model and propagates per-sensor ASIL integrity information through to the model, enabling vehicle functions to dynamically adapt their automation level to the current integrity of the environment model.
PatentEP4028293B1
Bayerische Motoren Werke AG
PatentDE102019123353A1
Bayerische Motoren Werke AG
A method for validating HD environment maps in autonomous vehicles by comparing live sensor data from onboard sensors against a predefined map and assessing map validity from detected inconsistencies.
PatentUS11912293B2
Bayerische Motoren Werke AG
A Bayesian method for detecting sensor blockage in a multi-sensor vehicle: a prior blockage probability is combined with each sensor's runtime performance to compute a posterior blockage probability used to flag blocked sensors.
System and method for model based technology and process for safety-critical software development
2019PatentUS10346140B2
GE Global Research
A model-based development process for safety-critical software that turns natural-language requirements into formally analyzed specification and design models, auto-generates requirements-based and robustness test cases plus source code, and verifies the code through testing and static analysis.
PatentUS20180073904A1
Baker Hughes Energy Technology UK Ltd
PatentNO348980B1
General Electric Company
An Enhanced Flow Soft Sensing (EFSS) system that detects transient sensor failures in oil and gas flow networks by comparing expected against measured sensor values, and automatically recovers the estimated mass flow rate as the failed sensor resumes normal operation.
PatentUS9531321B2
GE Grid Solutions LLC
PatentUS10048709B2
GE Vernova Infrastructure Technology LLC
An on-load tap changer (OLTC) controller that estimates downstream bus voltages from measured power and current through the transformer and dynamically adjusts the tap position to maintain grid voltage within specified bounds.
PatentUS20170051581A1
General Electric Company
PatentUS9747079B2
General Electric Company
A tool that automates the translation of natural-language software requirements into a human- and machine-readable formal specification model, bridging the gap between informal requirements capture and rigorous model-based design for safety-critical software.
PatentUS8539059B2
Hewlett-Packard Development Company, L.P.
Joint optimization of workload placement and data center cooling by minimizing an economic cost function combining computational and thermal network models against real-time energy prices.