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Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective (2024)
Presentation / Conference Contribution
Rodriguez, C. J., Thomson, S. L., Alderliesten, T., & Bosman, P. A. N. (2024, July). Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective. Presented at Genetic and Evolutionary Computation Conference (GECCO 2024), Melbourne, Australia

Many real-world problems have expensive-to-compute fitness functions and are multi-objective in nature. Surrogate-assisted evolutionary algorithms are often used to tackle such problems. Despite this, literature about analysing the fitness landscapes... Read More about Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective.

Makazi SHELTERs (2024)
Digital Artefact
Eltaweel, A. (2024). Makazi SHELTERs. [YouTube video]

Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution (2024)
Presentation / Conference Contribution
Marrero, A., Segredo, E., León, C., & Hart, E. (2024, July). Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution. Presented at GECCO '24: Genetic and Evolutionary Computation Conference, Melbourne, Australia

The ability to generate example instances from a domain is important in order to benchmark algorithms and to generate data that covers an instance-space in order to train machine-learning models for algorithm selection. Quality-Diversity (QD) algorit... Read More about Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution.

Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples (2024)
Presentation / Conference Contribution
Renau, Q., & Hart, E. (2024, July). Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples. Presented at GECCO 2024, Melbourne, Australia

The choice of input-data used to train algorithm-selection models is recognised as being a critical part of the model success. Recently, feature-free methods for algorithm-selection that use short trajec-tories obtained from running a solver as input... Read More about Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples.

Implementing responsible innovation: the role of the meso-level(s) between project and organisation (2024)
Journal Article
Stahl, B. C., Portillo, V., Wagner, H., Craigon, P. J., Darzentas, D., De Ossorno Garcia, S., Dowthwaite, L., Greenhalgh, C., Middleton, S. E., Nichele, E., Wagner, C., & Webb, H. (2024). Implementing responsible innovation: the role of the meso-level(s) between project and organisation. Journal of Responsible Innovation, 11(1), Article 2370934. https://doi.org/10.1080/23299460.2024.2370934

Much of academic discussion of responsible innovation (RI) has focused on RI integration into research projects. In addition, significant attention has also been paid to RI structures and policies at the research policy and institutional level. This... Read More about Implementing responsible innovation: the role of the meso-level(s) between project and organisation.

Reputation Gaming in Crowd Technical Knowledge Sharing (2024)
Journal Article
Mazloomzadeh, I., Uddin, G., Khomh, F., & Sami, A. (in press). Reputation Gaming in Crowd Technical Knowledge Sharing. ACM transactions on software engineering and methodology,

Stack Overrow incentive system awards users with reputation scores to ensure quality. The decentralized nature of the forum may make the incentive system prone to manipulation. This paper ooers, for the rst time, a comprehensive study of the reported... Read More about Reputation Gaming in Crowd Technical Knowledge Sharing.

Performance Evaluation of Edge-Based Segmentation Methods for Electrical Tree Image Analysis in High-Voltage Experiments (2024)
Journal Article
Mohd Isa, M. A., Azahari, M. F., Rohani, M. N. K. H., Ismail, B., Rosmi, A. S., Jamil, M. K., Mansor, N. S., Mas'ud, A. A., & Muhammad-Sukki, F. (2025). Performance Evaluation of Edge-Based Segmentation Methods for Electrical Tree Image Analysis in High-Voltage Experiments. Journal of Advanced Research in Applied Sciences and Engineering Technology, 48(1), 213-226. https://doi.org/10.37934/araset.48.1.213226

This research evaluates the performance of edge-based segmentation methods in analysing two-dimensional (2D) electrical tree images obtained during high-voltage (HV) electrical tree experiments. Non-uniform illumination in 2D optical images poses cha... Read More about Performance Evaluation of Edge-Based Segmentation Methods for Electrical Tree Image Analysis in High-Voltage Experiments.

Solar Window Innovations: Enhancing Building Performance through Advanced Technologies (2024)
Journal Article
Ghamari, M., & Sundaram, S. (2024). Solar Window Innovations: Enhancing Building Performance through Advanced Technologies. Energies, 17(14), Article 3369. https://doi.org/10.3390/en17143369

Building-integrated photovoltaic (BIPV) glazing systems with intelligent window technologies enhance building energy efficiency by generating electricity and managing daylighting. This study explores advanced BIPV glazing, focusing on building-integr... Read More about Solar Window Innovations: Enhancing Building Performance through Advanced Technologies.

Participatory Design with Domain Experts: A Delphi Study for a Career Support Chatbot (2024)
Presentation / Conference Contribution
Wilson, M., Brazier, D., Gkatzia, D., & Robertson, P. (2024, July). Participatory Design with Domain Experts: A Delphi Study for a Career Support Chatbot. Presented at ACM Conversational User Interfaces 2024 (CUI ’24), Luxembourg, Luxembourg

We present a study of collaboration with expert participants for the purpose of the responsible design of a conversational agent. The Delphi study was used to identify and develop design and evaluation criteria for an automated career support interve... Read More about Participatory Design with Domain Experts: A Delphi Study for a Career Support Chatbot.

Pedagogical approaches in music and audio education for deaf and hard-of-hearing students (2024)
Journal Article
Cheng, L., & McGregor, I. (in press). Pedagogical approaches in music and audio education for deaf and hard-of-hearing students. Organised Sound,

Learning about music, sound, or audio can present significant challenges for individuals who are deaf and hard of hearing (DHH). Given the advancements in technology and the increasing emphasis on equality, diversity and inclusion (EDI) in education,... Read More about Pedagogical approaches in music and audio education for deaf and hard-of-hearing students.

Orbital angular momentum with the approach of using in sub-6GHz 5G mobile communications for wireless applications (2024)
Presentation / Conference Contribution
Khorasani, S. A., Zakeri, H., Moradi, G., Alibakhshikenari, M., See, C. H., & Limiti, E. (2024, June). Orbital angular momentum with the approach of using in sub-6GHz 5G mobile communications for wireless applications. Presented at 6th Global Power, Energy and Communication Conference (GPECOM), Budapest, Hungary

This paper discusses the effect of the orbital angular momentum on the fifth generation of mobile communication. A new generation of mobile requires advanced antenna systems capable of sending and receiving massive amounts of data. The beamforming me... Read More about Orbital angular momentum with the approach of using in sub-6GHz 5G mobile communications for wireless applications.

Wideband Hybrid Dielectric Resonator Antenna Array for 5G mmWave Mobile Applications (2024)
Presentation / Conference Contribution
Zidour, A., Alibakhshikenari, M., Ayad, M., See, C. H., & Limiti, E. (2024, June). Wideband Hybrid Dielectric Resonator Antenna Array for 5G mmWave Mobile Applications. Presented at 6th Global Power, Energy and Communication Conference (GPECOM), Budapest, Hungary

In this paper, a wideband hybrid dielectric resonator antenna (HDRA) array design is presented for fifth-generation (5G) millimeter wave (mmWave) applications. The hybrid antenna integrates three resonant radiators of feeding slot, ring patch, and DR... Read More about Wideband Hybrid Dielectric Resonator Antenna Array for 5G mmWave Mobile Applications.

Low-Profile and SWB Phased Array Antenna with Semi-Circular Loop Resonators for 5G/6G Systems (2024)
Presentation / Conference Contribution
Basherlou, H. J., Parchin, N. O., Alibakhshikenari, M., See, C. H., Kouhalvandi, L., Abd-Alhameed, R., & Limiti, E. (2024, June). Low-Profile and SWB Phased Array Antenna with Semi-Circular Loop Resonators for 5G/6G Systems. Presented at 2024 6th Global Power, Energy and Communication Conference (GPECOM), Budapest, Hungary

Phased array antennas with broadband and super-wideband (SWB) capabilities, featuring extensive scanning and end-fire radiations, are imperative to meet the evolving demands of future cellular systems. This paper explores the properties of a new desi... Read More about Low-Profile and SWB Phased Array Antenna with Semi-Circular Loop Resonators for 5G/6G Systems.

Multi-Attribute Analysis For Sustainable Reclamation Of Urban Industrial Sites: Case From Damascus Post-Conflict (2024)
Presentation / Conference Contribution
Khaddour, L., Osunsanmi, T., Olawumi, T., & Bradly, L. (2024, June). Multi-Attribute Analysis For Sustainable Reclamation Of Urban Industrial Sites: Case From Damascus Post-Conflict. Presented at The 2024 World Sustainable Built Environment Conference (WSBE24), Online

The reclamation of urban industrial zones presents intricate challenges within urban planning, notably in post-disaster scenarios aimed at revitalizing urban landscapes. This study delves into the complexities and decision-making intricacies involved... Read More about Multi-Attribute Analysis For Sustainable Reclamation Of Urban Industrial Sites: Case From Damascus Post-Conflict.

Architecting net zero: from drawings to bytes (2024)
Journal Article
Sajjadian, S. M. (2024). Architecting net zero: from drawings to bytes. Journal of Building Engineering, 95, Article 110094. https://doi.org/10.1016/j.jobe.2024.110094

Every profession across the globe has been affected by computers in the last decades. Most of the day-to-day jobs are about creating and managing data and the processes include inputs, storage, transfer and output. The construction industry is no exc... Read More about Architecting net zero: from drawings to bytes.

A computational study of the use of hydrogen peroxide as pilot fuel for a homogeneous mixture of ammonia/hydrogen in a compression ignition engine (2024)
Journal Article
Tingas, E.-A., Hardalupas, Y., & Taylor, A. M. K. P. (2024). A computational study of the use of hydrogen peroxide as pilot fuel for a homogeneous mixture of ammonia/hydrogen in a compression ignition engine. Journal of Ammonia Energy, 2(1), 42-63. https://doi.org/10.18573/jae.28

We report a computational investigation of a compression ignition (CI) engine (compression ratio: 17.6, displacement volume: 1.3 L) where the main fuel is a homogeneous mixture of ammonia (70-60% vol%) and hydrogen (30-40% vol%), with a global equiva... Read More about A computational study of the use of hydrogen peroxide as pilot fuel for a homogeneous mixture of ammonia/hydrogen in a compression ignition engine.

ML-Driven Attack Detection in RPL Networks: Exploring Attacker Position's Significance (2024)
Presentation / Conference Contribution
Ghaleb, B., Al-Dubai, A., Romdhani, I., Ahmad, J., Aldhaheri, T., & Kulkarni, S. (2024, January). ML-Driven Attack Detection in RPL Networks: Exploring Attacker Position's Significance. Presented at 2024 International Conference on Information Networking (ICOIN), Ho Chi Minh City, Vietnam

The Routing Protocol for Low Power and Lossy Networks (RPL) plays a pivotal role in IoT communication, employing a rank-based topology to guide routing decisions. However, RPL is vulnerable to Decreased Rank Attacks, where malicious nodes illegitimat... Read More about ML-Driven Attack Detection in RPL Networks: Exploring Attacker Position's Significance.

A Novel Autonomous Adaptive Frame Size for Time-Slotted LoRa MAC Protocol (2024)
Journal Article
Alahmadi, H., Bouabdallah, F., Al-Dubai, A., & Ghaleb, B. (online). A Novel Autonomous Adaptive Frame Size for Time-Slotted LoRa MAC Protocol. IEEE Transactions on Industrial Informatics, https://doi.org/10.1109/tii.2024.3417308

LoRa networks represent a promising technology for IoT applications due to their long range, low cost, and energy efficiency. However, their ALOHA-based access method and duty cycle restrictions can limit their scalability and reliability in high-den... Read More about A Novel Autonomous Adaptive Frame Size for Time-Slotted LoRa MAC Protocol.