Dr Héctor Menendez
Lecturer in Computer Science (Programming and Software Engineering)
Research interests
- Computer science
Contact details
Biography
Héctor Menéndez obtained his PhD in Computer Science (under the topic of evolutionary computation applied to machine learning) from the Autonomous University of Madrid in 2014, after graduating with a BSc in Mathematics (2010) and a BSc in Computer Science and the equivalent MSc (2012). Once he moved to London, he spent five years working as a postdoctoral research associate in the SSE group at UCL, working on software testing and cybersecurity.
Research interests
- Machine Learning (classification and clustering algorithms, deep learning, and testing)
- Software Testing (automatic test generation and diversity)
- Cybersecurity (malware analysis and mitigation, and obfuscation)
- Quantum Programs (design and testing)
Further information
Research
King's Cybersecurity Centre
An EPSRC-NCSC Academic Centre of Excellence in Cyber Security Research (ACE-CSR). It provides expertise on most areas of cyber security, it has a critical mass of researchers working on three main research themes and their interrelationship.
Health Hub
The Health Hub centres on computational characterisation of medically relevant study cases and data.
Security Hub
The Security Hub consolidates the research related to security
Software Systems
The group studies design, modelling and engineering of software systems.
Trusted Autonomous Systems Hub
The Trusted Autonomous Systems Hub develops the trustable autonomous systems of tomorrow.
Centre for Doctoral Training in Digital Twins for Healthcare
DT4Health brings together a world-class multidisciplinary team of supervisors to train future innovation leaders to articulate and materialise the Digital Twin vision in healthcare.
News
King's scientists explore the effects of AI on human life
Bringing the Human to the Artificial presents cutting-edge AI research at King’s.
Events
Finding blind-spots in Artificial Intelligence with MLighter
Attend this demo to learn how to know what the AI doesn't know.
Please note: this event has passed.
Can you drive better than a machine?
This demo asks 'can you drive better than a machine?', as part of the Bringing the Human to the Artificial exhibition.
Please note: this event has passed.
Bias in Machine Learning: Am I Person Enough?
Machine learning relies on data, but that data is not always the best possible option. To see how biases can manifest in computer vision models like YOLO,...
Please note: this event has passed.
Research
King's Cybersecurity Centre
An EPSRC-NCSC Academic Centre of Excellence in Cyber Security Research (ACE-CSR). It provides expertise on most areas of cyber security, it has a critical mass of researchers working on three main research themes and their interrelationship.
Health Hub
The Health Hub centres on computational characterisation of medically relevant study cases and data.
Security Hub
The Security Hub consolidates the research related to security
Software Systems
The group studies design, modelling and engineering of software systems.
Trusted Autonomous Systems Hub
The Trusted Autonomous Systems Hub develops the trustable autonomous systems of tomorrow.
Centre for Doctoral Training in Digital Twins for Healthcare
DT4Health brings together a world-class multidisciplinary team of supervisors to train future innovation leaders to articulate and materialise the Digital Twin vision in healthcare.
News
King's scientists explore the effects of AI on human life
Bringing the Human to the Artificial presents cutting-edge AI research at King’s.
Events
Finding blind-spots in Artificial Intelligence with MLighter
Attend this demo to learn how to know what the AI doesn't know.
Please note: this event has passed.
Can you drive better than a machine?
This demo asks 'can you drive better than a machine?', as part of the Bringing the Human to the Artificial exhibition.
Please note: this event has passed.
Bias in Machine Learning: Am I Person Enough?
Machine learning relies on data, but that data is not always the best possible option. To see how biases can manifest in computer vision models like YOLO,...
Please note: this event has passed.