This special session is intended for like-minded researchers to present and discuss their latest research in Bio-Inspired Machine Learning (ML) without a restriction on an application domain. Bio-Inspired ML is a family of machine learning approaches that are primarily derived from the learning mechanisms of biological entities. Examples of such approaches are Artificial Immune Systems (inspired by the biological immune system), Artificial Neural Networks (inspired by biological neural networks), Reinforcement Learning (inspired by biological learning mechanisms) and the use of meta-heuristic approaches to optimise learning algorithms. Therefore, papers can range from theoretical concepts of Bio-Inspired ML to the application of Bio-Inspired ML to various domains, such as Computer Vision, Natural Language Understanding, Audio, Representation Learning, Generative Modelling and so forth.

Related Topics

• Artificial Immune Systems (e.g. dendritic cell algorithm, clonal selection, negative selection)

• Artificial Immune Networks (e.g. aiNet, fractal immune networks, fuzzy immune networks)

• Neural Network Architectures and Applications (e.g. spiking neural networks, neuroevolution, Hopfield networks, deep neural networks)

• Neuromorphic Computing Applications (e.g. vision, anomaly detection, gaming)

• Reinforcement Learning (e.g. deep Q-networks, proximal policy optimisation, model-based deep RL)

• Bio-Inspired Representation Learning (e.g. self-organising maps, autoencoders, energy-based models)

• Bio-Inspired Learning Agents (e.g. multi-agent RL)

• Bio-Inspired Multimodal Learning (e.g. attention mechanisms, embodied AI, contrastive learning)

• Bio-Inspired Generative Models (e.g. GANs, VAEs)

• Meta-Heuristic Approaches for Optimising Machine Learning Models (i.e. Neuroevolution, swarm optimisation, gene expression programming)

Organizer:

Dr. Siphesihle Sithungu, University of Johannesburg, South Africa (Email: siphesihles@uj.ac.za)

Dr.Siphesihle Sithungu received his PhD in Computer Science, with a focus on Bio-Inspired Generative Modelling, at the University of Johannesburg, South Africa, in 2024. He is currently a Lecturer at the Academy of Computer Science and Software Engineering at the University of Johannesburg, where he teaches Data Structures, Object Orientated Programming, Critical Information Infrastructure Protection and Advanced Artificial Intelligence (AI). His research interest is on the applications of AI to optimise complex systems, with a specific focus on Biologically Inspired Artificial Intelligence, Multi-Agent Systems, Generative Modelling and Critical Infrastructures. His research has been published in 18 peer-reviewed international conferences and journals and has received over 45 citations. He was part of the BRICS Young Scientists Conclave in 2021 where he discussed his PhD research and gave multiple talks in workshops organised by a government agency in South Africa, where he also served as a panel member. He has been a member of the technical committee and a reviewer for the CIIS conference for 5 years.

Submit Now:

• Please submit your paper via the link: https://www.zmeeting.org/submission/ciis2024-specialsession1

• Or Please submit via the mail address ciis_info@sciei.org

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