Michail Tsompanas' Outputs (42)

Evolutionary algorithms designing nanoparticle cancer treatments with multiple particle types (2021)
Journal Article

There is a rich history of evolutionary algorithms tackling optimization problems where the most appropriate size of solutions, namely the genome length, is unclear a priori. Here, we investigated the applicability of this methodology on the problem... Read More about Evolutionary algorithms designing nanoparticle cancer treatments with multiple particle types.

Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators (2024)
Presentation / Conference Contribution

One of the training methods of Artificial Neural Networks is Neuroevolution (NE) or the application of Evolutionary Optimization on the architecture and weights of networks to fit the target behaviour. In order to provide competitive results, three k... Read More about Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators.

Optimizing the substrate for hypercube-based neuroevolution of augmented topologies to design soft actuators (2025)
Journal Article

The characteristics of soft robots make them better candidates for applications such as healthcare, due to their enhanced safety, adaptability and more natural human-robot interaction compared to traditional counterparts. Different actuating systems... Read More about Optimizing the substrate for hypercube-based neuroevolution of augmented topologies to design soft actuators.

Designing morphologies of soft medical devices using cooperative neuro coevolution (2025)
Presentation / Conference Contribution

Soft robots have proven to outperform traditional robots in applications related to propagation in geometrically constrained environments. Designing these robots and their controllers is an intricate task, since their building materials exhibit non-l... Read More about Designing morphologies of soft medical devices using cooperative neuro coevolution.

Leveraging activation and optimisation layers as dynamic strategies in the multi-task fuzzing scheme (2025)
Journal Article

Fuzzing is a common technique for identifying vulnerabilities in software. Recent approaches, like She et al.’s Multi-Task Fuzzing (MTFuzz), use neural networks to improve fuzzing efficiency. However, key elements like network architecture and hyperp... Read More about Leveraging activation and optimisation layers as dynamic strategies in the multi-task fuzzing scheme.

Using neuroevolution for designing soft medical devices (2024)
Journal Article

Soft robots can exhibit better performance in specific tasks compared to conventional robots, particularly in healthcare related tasks. However, the field of soft robotics is still young, and designing them often involves mimicking natural organisms... Read More about Using neuroevolution for designing soft medical devices.

Control of biohybrid actuators using neuroevolution (2024)
Presentation / Conference Contribution

In medical-related tasks, soft robots can perform better than conventional robots because of their compliant building materials and the movements they are able perform. However, designing soft robot controllers is not an easy task, due to the non-lin... Read More about Control of biohybrid actuators using neuroevolution.

Improving search space analysis of fuzzing mutators using cryptographic structures (2024)
Presentation / Conference Contribution

This paper introduces a novel approach to enhance the performance of software fuzzing mutator tools, by leveraging cryptographic structures known as substitution-permutation networks and Feistel networks. By integrating these structures into the exis... Read More about Improving search space analysis of fuzzing mutators using cryptographic structures.

A reaction-diffusion cellular automata model for mycelium-based engineered living materials evolution (2024)
Presentation / Conference Contribution

Engineered living materials (ELMs) and, more specifically, mycelium-based ELMs have been proposed as a solution to address the escalating societal pressures related to human-induced environmental disruption, scarcity of resources, and the anticipated... Read More about A reaction-diffusion cellular automata model for mycelium-based engineered living materials evolution.

Mycelium-based ELM digital twin implemented in FPGA (2024)
Presentation / Conference Contribution

Engineered Living Materials (ELMs) based on fungal mycelium offer a promising solution to the challenges posed by environmental disruption, resource scarcity, and rising material demands, while also exhibiting interesting computational capabilities.... Read More about Mycelium-based ELM digital twin implemented in FPGA.

NeuroEvolution algorithms applied in the designing process of biohybrid actuators (2024)
Presentation / Conference Contribution

Soft robots diverge from traditional rigid robotics, offering unique advantages in adaptability, safety, and human-robot interaction. In some cases, soft robots can be powered by biohybrid actuators and the design process of these systems is far from... Read More about NeuroEvolution algorithms applied in the designing process of biohybrid actuators.

Mycelium-based ELM emulation utilizing memristive oscillating cellular automata (2024)
Presentation / Conference Contribution

Engineered Living Materials (ELMs) represent a novel class of materials that possess intrinsic properties and capabilities inspired by living organisms. Among ELMs, fungal mycelium stands out due to its low-cost manufacturing process, ubiquity in nat... Read More about Mycelium-based ELM emulation utilizing memristive oscillating cellular automata.

Logical circuits in colloids (2024)
Journal Article

Colloid-based computing devices offer remarkable fault tolerance and adaptability to varying environmental conditions due to their amorphous structure. An intriguing observation is that a colloidal suspension of ZnO nanoparticles in dimethylsulfoxide... Read More about Logical circuits in colloids.

Vulnerability detection through machine learning-based fuzzing: A systematic review (2024)
Journal Article

Modern software and networks underpin our digital society, yet the rapid growth of vulnerabilities that are uncovered within these threaten our cyber security posture. Addressing these issues at scale requires automated proactive approaches that can... Read More about Vulnerability detection through machine learning-based fuzzing: A systematic review.

Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter (2024)
Journal Article

Biohybrid machines (BHMs) are an amalgam of actuators composed of living cells with synthetic materials. They are engineered in order to improve autonomy, adaptability and energy efficiency beyond what conventional robots can offer. However, designin... Read More about Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter.

Responsive fungal insoles for pressure detection (2023)
Journal Article

Mycelium bound composites are promising materials for a diverse range of applications including wearables and building elements. Their functionality surpasses some of the capabilities of traditionally passive materials, such as synthetic fibres, reco... Read More about Responsive fungal insoles for pressure detection.

Chemically-inspired memristor-based neuron-like oscillating circuit (2022)
Presentation / Conference Contribution

There is a constant push for ever increasing performance in traditional computing systems, leading to high power consumption and, in the end, to the incapacity of conventional electronics to handle heavy computing tasks, which usually require learnin... Read More about Chemically-inspired memristor-based neuron-like oscillating circuit.

Wave cellular automata for computing applications (2022)
Presentation / Conference Contribution

There is a continuous urge for higher efficiency in conventional computing systems, driven by an ever-growing demand for these systems' complexity to be able to match the one of convoluted and challenging problems. However, this type of problems has... Read More about Wave cellular automata for computing applications.

Unconventional logic on unipolar CBRAM based oscillators (2022)
Presentation / Conference Contribution

Plenty of unconventional computing techniques aim to compete with, if not outperform, traditional computers in solving high-complexity problems. The classical von Neumann computing architecture depends on centralized and sequential data processing, w... Read More about Unconventional logic on unipolar CBRAM based oscillators.

Chimera states in neuro-inspired area-efficient asynchronous cellular automata networks (2022)
Journal Article

Synchronization transition in neuromorphic networks has attracted much attention recently as a fundamental property of biological neural networks, which relies on network connectivity along with different synaptic features. In this work, an area-opti... Read More about Chimera states in neuro-inspired area-efficient asynchronous cellular automata networks.