Monthly Newsletter
16 | May 2026
AUBH Research Center
📄 Publications
Dr. Sabri Dogan recently published aqualitative study titled School Counsellors’ Perceptions of Multilingualism in the US Educational Landscape: A Qualitative Investigation (Q1 Scopus and Web of Science), examining school counsellors’ perceptions of multilingualism and their influence on family language policies. The findings revealed that counsellors generally encourage parents to use their native language at home, view bilingualism as a significant asset, and perceive family language policies as having a limited impact on students’ academic, career, and social-emotional outcomes. The study underscores the important role school counsellors play in supporting linguistically diverse families and fostering inclusive educational environments.
AUBH bachelor’s student Mohammed Altooq and Dr. Baraa T. Sharef published a paper titled AI-Driven Sentiment Analysis for Stakeholder Feedback in Large Industrial Projects at the IEEE International Conference on Computer and Applications (ICCA 2025), which introduces a multilingual AI system designed to analyze stakeholder feedback by classifying sentiment, topics, and urgency. By combining transformer-based models with rule-based reasoning, the system enhances decision-making and responsiveness in complex industrial environments.
Dana Bassim Charafeddine and Dr. Baraa T. Sharef published a paper titled Smart Integrity: Leveraging Knowledge-Base-Driven AI Chatbots for Safety and Operational Reliability in Petroleum Refining at the IEEE International Conference on Computer and Applications (ICCA 2025), which presents a knowledge-based AI chatbot designed to support safety-critical decision-making in petroleum refining. By integrating validated operational knowledge and safety procedures, the system improves reliability, consistency, and real-time access to critical information.
AUBH bachelor’s studentAbdullah Omar and Dr. Baraa T. Sharef published a paper titled Comparative Analysis of Metaheuristic Algorithms for High-Dimensional Rastrigin Optimization at the IEEE International Conference on Computer and Applications (ICCA 2025), which presents a comparative analysis of five metaheuristic algorithms — GA, PSO, SA, DE, and GWO — on high-dimensional Rastrigin optimization problems. The results demonstrate that the Grey Wolf Optimizer (GWO) outperforms the other algorithms in terms of solution quality and computational efficiency in complex search spaces.
Dr. Maqbool Khan published a paper titled Lightweight Carbon-Conscious Machine Learning Framework for Lung Cancer Risk Assessment at the International Conference on Artificial Intelligence, Systems, and Emerging Technologies (ICAISET 2026) in Cairo, Egypt, which presents an empirical Green-AI evaluation framework for lung cancer risk assessment using Logistic Regression, Random Forest, and XGBoost models combined through a lightweight voting ensemble strategy. Rather than proposing a novel learning algorithm, the study systematically evaluates the trade-off between predictive performance, energy consumption, and carbon footprint during both training and inference. Experiments conducted on a publicly available dataset demonstrate that lightweight ensemble learning can achieve clinically relevant predictive performance while significantly reducing computational and carbon costs, highlighting the importance of carbon-aware evaluation for deploying sustainable AI solutions in resource-constrained healthcare environments.
Dr. Maqbool Khan, in collaboration with Dr. Alaaeddine Ramadan, published a paper titled Adaptive Control–Instrumentation Co-Design Framework for Real-Time IoT-Based Process Control at the IEEE 5th International Multidisciplinary Conference on Engineering Technology (IMCET 2026) in Beirut, Lebanon, which proposes a co-design framework for adaptive control instrumentation operating over real-time IoT-based process control systems. The framework integrates decision-making logic into the instrumentation layer, enabling sensors to automatically adapt sampling rates based on control error and process dynamics. Experimental findings demonstrate enhanced control precision, reduced data transfer, lower energy consumption, and faster response times compared to traditional fixed-sampling methods.
Dr. Abdallah Samad presented a paper titled Experimental Investigation on Aeroacoustic and Wake Flow Characteristics of Toroidal Propellers for Hybrid UAV Propulsion at the American Institute of Aeronautics and Astronautics (AIAA) Aviation 2026 conference in San Diego, California, in collaboration with the US Army Combat Capabilities Development Command Division, Iowa State University, and Clarkson University. The paper showcases novel experimental results conducted on multiple toroidal propeller geometries at the US Army’s laboratories in Aberdeen Proving Ground, Maryland, contributing new insights into aeroacoustic and wake flow characteristics relevant to hybrid UAV propulsion systems.
Dr. Mohammad A. Shbool, in collaboration with Windi Auliana, Qurtubi, Haswika, and Kongkidakhon Worasan, recently published an article in Buletin Ilmiah Sarjana Teknik Elektro (Q4) titled ‘Digitizing Waste Management Using the Internet of Things: Research Opportunities.’ The study conducts a PRISMA-based systematic literature review of IoT-based industrial waste management research, screening 147 Scopus-indexed publications and selecting 37 relevant articles published between 2020 and 2025. The paper identifies key research trends across monitoring, process optimization, circular economy integration, AI-based prediction, and blockchain-enabled accountability. It also proposes an integrative multi-layered IoT framework that connects sensor-based monitoring, edge and cloud analytics, and blockchain-supported governance to support intelligent compliance, improve environmental control, and guide future industrial waste management systems.
🎤 Conferences
DBA student Asama Abbas Alhajouj and supervisor Dr. Layla Mohammed presented their paper titled, “Understanding the Impact of Adopting Information Management Systems (IMS) on Firm Performance in Saudi Arabian SMEs,” at the IEEE Technology & Innovation Conference (TIC 2026), held on 5–6 June 2026 in Kuala Lumpur, Malaysia. The conference proceedings will be published in IEEE Xplore and indexed in Scopus.
Asama previously completed his MBA at AUBH and is now pursuing a DBA, highlighting his continued academic and research journey at the university.
AUBH Master’s student Danah Bukhowah, supervised by Dr. Mohammad Shbool presented the paper “Behavioral Determinants of AI-Driven Population Risk Prediction Tools for NCD Prevention: A Multi-Group PLS-SEM Study in Saudi Arabia” at the 10th International Conference on Medical and Health Informatics (ICMHI 2026) held in Kyoto, Japan. The study examined the behavioral factors influencing the adoption and acceptance of artificial intelligence-driven population risk prediction tools for non-communicable disease (NCD) prevention in Saudi Arabia. Using a multi-group Partial Least Squares Structural Equation Modeling (PLS-SEM) approach, the research explored how perceptions of usefulness, AI awareness, and other behavioral determinants shape stakeholders’ intentions to utilize AI-enabled health technologies.
Dr. Giuseppe Cantafio and Alumni BBA student, Jalaal Ameeri, successfully presented their paper titled “The Adaptation of Robotics in Lean Manufacturing: An Exploratory Study of SME Implementation Strategies,” at the 3rd IEEE Technology Innovation Conference (TIC) 2026.
The study tackles a crucial frontier in Industry 4.0—examining how Small and Medium Enterprises (SMEs) can strategically integrate robotics within lean frameworks to drive sustainable growth.
🤝 Engagement
The AUBH Research Center is pleased to announce that Dr. Giuseppe Cantafio has been awarded an Internal Grant from AUBH for the amount of 1100 BHD. The paper is titled “Green Education: An International Educational Transformation Project.”
This ambitious initiative is designed to support universities in fully embedding sustainability across their curricula, teaching methods, and institutional practices.
Dr. Fatema Akbar was invited to the Africa Regional Strategy Universal Acceptance Day event to present Universal Acceptance (UA) practice and Academia’s UA involvement. Dr. Fatema shared the AUBH initiative, in collaboration with ICANN, to integrate UA topics in the computing programs, projects, and research.
The AUBH Research Center is pleased to announce that an Internal Research Grant of BHD 2,500has been awarded to Dr. Maqbool Khan, with co-researchers Dr. Alex Mari and Dr. Rabe Andersson, for their project titled “A Localized AI-Based Framework for Automated Grading of SubjectiveExamination Responses.”The project aims to develop an AI-based grading framework to enhance assessment efficiency and academic impact.
The AUBH Research Center is pleased to announce that an Internal Research Grant of BHD 3,050 has been awarded to Dr. Rabe Andersson, co-researcher Dr. Maqbool Khan, for their project on rehabilitation robotic exoskeletons for lower-limb mobility support. The project aims to experimentally evaluate and optimize a robotic exoskeleton prototype to improve safety, performance, and future clinical application, while supporting further prototype development and research publications.