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A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories (2024)
Presentation / Conference Contribution
van Stein, N., Thomson, S. L., & Kononova, A. V. (2024, September). A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories. Presented at Parallel Problem Solving from Nature (PPSN) 2024, Hagenberg, Austria

To guide the design of better iterative optimisation heuristics, it is imperative to understand how inherent structural biases within algorithm components affect the performance on a wide variety of search landscapes. This study explores the impact o... Read More about A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories.

Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances (2024)
Presentation / Conference Contribution
Hart, E., Renau, Q., Sim, K., & Alissa, M. (2024, September). Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances. Presented at 18th International Conference on Parallel Problem Solving From Nature PPSN 2024, Hagenburg, Austria

Deep neural networks (DNN) are increasingly being used to perform algorithm-selection in combinatorial optimisation domains, particularly as they accommodate input representations which avoid designing and calculating features. Mounting evidence fro... Read More about Evaluating the Robustness of Deep-Learning Algorithm-Selection Models by Evolving Adversarial Instances.

Reflections of a PhD mentor: Thesis Mentor Pilot Scheme 2024 (2024)
Presentation / Conference Contribution
Cameron, J., Naik, V., & Gourlay, E. (2024, September). Reflections of a PhD mentor: Thesis Mentor Pilot Scheme 2024. Presented at Vitae International Researcher Development Conference 2024, Online

Dr Jackie Cameron shares the experience of serving as a mentor on the 12-week pilot mentorship programme that aimed to improve the student experience and outcomes of PhD students at the right-up stage. Presenting at a workshop entitled 'Honey, We Shr... Read More about Reflections of a PhD mentor: Thesis Mentor Pilot Scheme 2024.

Continuous Transfer Learning for UAV Communication-aware Trajectory Design (2024)
Presentation / Conference Contribution
Sun, C., Fontanesi, G., Chetty, S. B., Liang, X., Canberk, B., & Ahmadi, H. (2024, July). Continuous Transfer Learning for UAV Communication-aware Trajectory Design. Presented at The 11th International Conference on Wireless Networks and Mobile Communications (WINCOM 2024), Leeds, England

Deep Reinforcement Learning (DRL) emerges as a prime solution for Unmanned Aerial Vehicle (UAV) trajectory planning, offering proficiency in navigating high-dimensional spaces, adaptability to dynamic environments, and making sequential decisions bas... Read More about Continuous Transfer Learning for UAV Communication-aware Trajectory Design.

A Content Analysis of Data Science Degree Programmes in the UK (2024)
Presentation / Conference Contribution
Fabian, K. (2024, September). A Content Analysis of Data Science Degree Programmes in the UK. Presented at Royal Statistical Society International Conference 2024, Brighton

Data science is an interdisciplinary programme of study. Conway’s (2010) data science diagram illustrates that data science is an intersection of domain knowledge, maths and statistics and computing. Just as data science is an interdisciplinary field... Read More about A Content Analysis of Data Science Degree Programmes in the UK.

Graph Injection Attack based on Node Similarity and Non-linear Feature Injection Strategy (2024)
Presentation / Conference Contribution
Li, Q., Gao, Y., Wang, F., Wang, C., Babaagba, K. O., & Tan, Z. (2024, October). Graph Injection Attack based on Node Similarity and Non-linear Feature Injection Strategy. Presented at 20th EAI International Conference on Security and Privacy in Communication Networks, Dubai, United Arab Emirates

Graph Neural Networks (GNNs) exhibit promise in the domains of network analysis and recommendation systems. Notwithstanding , these networks are susceptible to node injection attacks. To mitigate this vulnerability, the academic community has put for... Read More about Graph Injection Attack based on Node Similarity and Non-linear Feature Injection Strategy.

An international review of building standards and guidelines on thermal comfort and ventilation for school buildings (2024)
Presentation / Conference Contribution
Bain-Reguis, N., & Smith, A. (2024, September). An international review of building standards and guidelines on thermal comfort and ventilation for school buildings. Presented at TWR2024, Edinburgh

This paper reviews and discusses thermal comfort and ventilation standards and guidelines in educational buildings in selected countries around the World, alongside the guidelines from the World Health Organization (WHO), the American Society of Heat... Read More about An international review of building standards and guidelines on thermal comfort and ventilation for school buildings.

A Framework for Speech Enhancement based on Audio Signal and Speaker Embeddings (2024)
Presentation / Conference Contribution
Nazemi, A., Sami, A., Sami, M., & Hussain, A. (2024, September). A Framework for Speech Enhancement based on Audio Signal and Speaker Embeddings. Presented at 3rd COG-MHEAR Workshop on Audio-Visual Speech Enhancement (AVSEC), Kos Island, Greece

This study addresses the challenge of speech enhancement within an audio-only context. Our proposed framework extracts speaker embeddings and voice signals, subsequently integrating these components to synthesise a voice based on the extracted data.... Read More about A Framework for Speech Enhancement based on Audio Signal and Speaker Embeddings.

Iterative Speech Enhancement with Transformers (2024)
Presentation / Conference Contribution
Nazemi, A., Sami, A., Sami, M., & Hussain, A. (2024, September). Iterative Speech Enhancement with Transformers. Presented at 3rd COG-MHEAR Workshop on Audio-Visual Speech Enhancement (AVSEC), Kos, Greece

Enhancing audio quality in audio-video speech enhancement (AVSE) is a crucial step in improving the performance of speech recognition systems, particularly by integrating visual and auditory data to create more robust and accurate models. This study... Read More about Iterative Speech Enhancement with Transformers.

Fuzzy Delphi Method For Smart Grid Enabler Framework Development Towards Residential Energy Conservation Strategies (2024)
Presentation / Conference Contribution
Abdul Razak, A. H. N., Ahmad, N. A., Radin Abdul Halim, R. Z., & Muhammad Sukki, F. (2024, October). Fuzzy Delphi Method For Smart Grid Enabler Framework Development Towards Residential Energy Conservation Strategies. Presented at 4th International Conference on Built Environment and Engineering 2024 (IConBEE2024), Pulau Pinang, Malaysia

The global implementation of smart grids has revolutionized the electricity grid, including in Malaysia, where Tenaga Nasional Berhad leads the initiative. This Smart Grid system is akin to the internet of electricity, serving as a pivotal element in... Read More about Fuzzy Delphi Method For Smart Grid Enabler Framework Development Towards Residential Energy Conservation Strategies.

Multi-objective and Randomly Distributed Fuzzy Logic-Based Unequal Clustering in Heterogeneous Wireless Sensor Networks (2024)
Presentation / Conference Contribution
Adnan, M., Ahmad, T., Rafi, S., Abdullah, & Vurity, A. (2024, September). Multi-objective and Randomly Distributed Fuzzy Logic-Based Unequal Clustering in Heterogeneous Wireless Sensor Networks. Presented at 16th International Conference, ICCCI 2024, Leipzig, Germany

Wireless Sensor Networks (WSNs) are a crucial component in the fabric of the Internet of Things (IoT) ecosystem, enabling a myriad of applications ranging from environmental monitoring to precision agriculture and smart cities. However, these sensors... Read More about Multi-objective and Randomly Distributed Fuzzy Logic-Based Unequal Clustering in Heterogeneous Wireless Sensor Networks.

Gendered Information Landscapes and their impact on routes into and through apprenticeships (2024)
Presentation / Conference Contribution
Cecil, M. (2024, August). Gendered Information Landscapes and their impact on routes into and through apprenticeships. Presented at Edinburgh Napier Research Degree Conference, Edinburgh Napier University, Edinburgh

This presentation outlines current progress on my PhD research on gendered information landscapes and apprenticeships including discussion on relevant literature, methods and methodology and initial findings.

Local resources inform design mid-point results from the Building from England's Woodlands project (2024)
Presentation / Conference Contribution
Tamagnone, G., Charleson, F., Cramer, M., Seminara, P., Plowas, W., Ridley-Ellis, D., & Hairstans, R. (2024, August). Local resources inform design mid-point results from the Building from England's Woodlands project. Presented at International SEEDS Conference 2024, Leeds Beckett University, UK

Considering the energy consumption and carbon equivalent emission of the construction industry, a massive shift towards more sustainable and less carbon intensive materials and building techniques is desirable. In this regard, wood and timber product... Read More about Local resources inform design mid-point results from the Building from England's Woodlands project.

Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins (2024)
Presentation / Conference Contribution
Kasarapu, S. S. K., Vasantha, G., Marzano, A., Corney, J., Hanson, J., Quigley, J., El-Raoui, H., Thompson, N., & Sherlock, A. (2024, August). Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins. Presented at 21st International Conference on Manufacturing Research (ICMR2024), Glasgow

This paper addresses a critical gap in digital twin simulation within manufacturing environments by focusing on the dynamic representation of worker movements during assembly processes. We introduce an innovative approach that utilizes Ultra-Wideband... Read More about Safer and Efficient Assemblies: Harnessing Real Time Worker Movements with Digital Twins.

VisCrypt: Image Encryption Featuring Novel Chaotic Key Generation and Block Permutation Techniques with Visual Cryptography (2024)
Presentation / Conference Contribution
Khan, M. S., Ahmad, J., Ali, M., Al Dubai, A., Pitropakis, N., & Buchanan, W. J. (2024, July). VisCrypt: Image Encryption Featuring Novel Chaotic Key Generation and Block Permutation Techniques with Visual Cryptography. Presented at 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP), Sousse, Tunisia

In this digital era, ensuring the security of data transmission is critically important. Digital data, especially image data, needs to be secured against unauthorized access. In this regards, this paper presents a robust image encryption scheme named... Read More about VisCrypt: Image Encryption Featuring Novel Chaotic Key Generation and Block Permutation Techniques with Visual Cryptography.

Image Encryption Using A Novel Orbital-Extraction Permutation Technique and Chaotic Key Generation (2024)
Presentation / Conference Contribution
Khan, S., Ullah, S., Ahmad, J., Ullah, A., Arshad, A., & Khan, M. S. (2024, July). Image Encryption Using A Novel Orbital-Extraction Permutation Technique and Chaotic Key Generation. Presented at 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP), Sousse, Tunisia

Abstract:
This paper presents an image encryption scheme that introduces a novel permutation technique named as orbital-extraction permutation. The proposed encryption scheme contains three important modules, i.e., the key generation module, the or... Read More about Image Encryption Using A Novel Orbital-Extraction Permutation Technique and Chaotic Key Generation.

Exploring opportunities and challenges in integrating Industry 4.0 for advancements in the Sri Lankan construction sector (2024)
Presentation / Conference Contribution
Sendanayake, H., Nawarathna, A., & Fernando, N. (2024, August). Exploring opportunities and challenges in integrating Industry 4.0 for advancements in the Sri Lankan construction sector. Presented at The 12th World Construction Symposium, Taj Samudra, Colombo, Sri Lanka

Industry 4.0 (I4.0) holds significant potential for the construction sector by introducing advanced technologies and innovative practices that enhance efficiency, productivity, safety, and sustainability. However, the Sri Lankan construction industry... Read More about Exploring opportunities and challenges in integrating Industry 4.0 for advancements in the Sri Lankan construction sector.

Safeguarding IoT Systems: Novel Authentication Method to Counteract Sybil and Flood Attacks (2024)
Presentation / Conference Contribution
Baird, I., Ghaleb, B., Wadhaj, I., Russell, G., & Buchanan, W. J. (2024, June). Safeguarding IoT Systems: Novel Authentication Method to Counteract Sybil and Flood Attacks. Presented at 4th International Conference on Robotics and Control Engineering, Edinburgh

This paper introduces an innovative strategy for countering Sybil and DODAG Information Solicitation (DIS) flood attacks within lightweight Internet of Things (IoT) networks. The proposed method combines a one-way hash chain with a Bloom filter, leve... Read More about Safeguarding IoT Systems: Novel Authentication Method to Counteract Sybil and Flood Attacks.

State of Practice: LLMs in Software Engineering and Software Architecture (2024)
Presentation / Conference Contribution
Jahic, J., & Sami, A. (2024, June). State of Practice: LLMs in Software Engineering and Software Architecture. Presented at 21st IEEE International Conference on Software Architecture (ICSA 2024): 3rd International Workshop on Software Architecture and Machine Learning, Hyderabad, India

Large Language Models (LLMs) are finding their way into Software Engineering by assisting with tasks such as code generation. Furthermore, LLMs might have a potential to perform even more complex tasks, such as suggesting architectural design. Howeve... Read More about State of Practice: LLMs in Software Engineering and Software Architecture.