Research Areas: Computer Vision; Machine Learning; Multimodal AI

Signature Work: CVPR 2024 (InteractDiffusion); NeurIPS 2021 (Deep Hashing); PRL 2024 (Text-VQA).

Impact: Publications in top-tier venues; public service at MOSTI (2020–22) & lead of PICC Unit, CITF.

Research Areas: Lifelong/Continual ML; Explainable Robotics/AI; Trustworthy & Sustainable AI; Medical AI

Signature Work: ACM CSUR 2023 (XAI for agents); IEEE TFUZZ 2024/25 (gastric cancer segmentation).

Impact: High-impact publications; robotics education initiatives; Co-founder of UMCH Technology (WeHealth).

Research Areas: Expert Systems and Machine Learning; Data Analytics; Data Science Programming and Computing

Signature Work: Research in personalization, e-learning, recommender systems, data analytics, data science, AI applications, and educational technology.

Impact: Ranked among Stanford University top 2% scientists globally in 2023-2024; recipient of more than 30 awards and active in higher education consultancy.

Research Areas: Information Retrieval Evaluation; Text Retrieval and Heuristics; Data Science; Data Mining; Machine Learning

Signature Work: PhD in Computer Science and Software Engineering from The University of Melbourne, with research in retrieval evaluation and machine learning.

Impact: International research collaborations, conference leadership, and service through information retrieval and knowledge management communities.

Research Areas: NLP; Educational/Healthcare AI; Multimodal report generation

Signature Work: Radiology report generation & LLM alignment (2025); AI in education.

Impact: Applying advanced NLP and AI models to critical sectors like healthcare and education.

Research Areas: Statistical Machine Learning; Healthcare AI

Signature Work: Deep ensembles & risk stratification in clinical cohorts (2021–2022).

Impact: Statistical ML models for clinical risk assessment and healthcare AI.

Research Areas: Data Analytics; Text Mining; Information Retrieval

Signature Work: Published in high-ranked journals and conferences, with award-winning research in data analytics.

Impact: Visiting scientist and research fellow appointments in Switzerland and Malaysia; recipient of national and international research grants.

Research Areas: Computer Vision; Medical Imaging; Ethical/Explainable AI

Signature Work: BMC Oral Health 2024 (CBCT); UMFit cardiac monitoring app.

Impact: Real-world applications in medical imaging, mobile health (UMFit) and industry automation.

Research Areas: Human–Robot Interaction; Continual Learning; Biomedical Signal Analysis

Signature Work: Co-author, ACM CSUR 2023 (XAI for agents/robots); RNNs for transcranial Doppler classification.

Impact: Key contributions to explainable AI for robotics and biomedical signal analysis.

Research Areas: Fuzzy Systems; Machine Learning; Early Action Recognition

Signature Work: PRL 2024 (Text-VQA pruning with Chan); ESWA 2022 (risky gait ranking).

Impact: Collaborative research in vision-language models and ML for healthcare diagnostics.

Research Areas: Natural Language Processing, Large Language Models, Financial AI, Knowledge Representation

Signature Work: Designing and developing production-ready AI solutions that bridge academic research and real-world industry applications

Impact: Applied NLP and AI systems through research and industry-focused innovation

Research Areas: AI-enabled Autonomy; Multi-robot Systems; Swarm Robotics; Aerial Robotics (UAVs)

Signature Work: Learning- and perception-driven methods for collaborative robotic systems in complex real-world environments.

Impact: Research experience across Julius-Maximilians-Universitat Wurzburg, Eindhoven University of Technology, and the University of Luxembourg.

Research Areas: Computer Vision; Vision–Language Models; Object Detection

Signature Work: Cognitive Computation 2025 (radiology report generation); ICIP 2024 (text detection).

Impact: Advancing vision-language models for healthcare and industrial computer vision.

Research Areas: Healthcare AI; Bioinformatics; Medical Image/Signal Analysis

Signature Work: IEEE TFUZZ 2024/25 (gastric cancer segmentation); wearable/biomechanics studies & patents.

Impact: Patented research in healthcare AI, focusing on medical imaging and wearable technologies.

Research Areas: XAI; Educational Technologies; Medical Image Analysis

Signature Work: Dermoscopic pigment network detection & classification using CNNs/XAI (2025).

Impact: Applying explainable AI techniques to medical imaging for improved diagnostics in dermatology.

Research Areas: Neural Networks for Machine Learning; Health Systems; Non-communicable Disease Nursing

Signature Work: Cross-disciplinary work connecting machine learning, software engineering, and healthcare systems.

Impact: Applies AI methods to accessible health systems, medical and health sciences, and human societal resilience.

Research Areas: Medical Imaging; Computer Vision; Speech/Audio ML

Signature Work: A Hybrid CNN Model for Dental Age Estimation (BMC Oral Health, 2025); DR Detection (Diagnostics, 2023).

Impact: Developing hybrid AI models for diverse applications in medical imaging and audio processing.

Research Areas: Image Processing; Digital Watermarking; Medical Imaging; Mobile Computing

Signature Work: Pattern Recognition (biometrics survey); IET works on medical X-rays.

Impact: Contributions to biometrics, digital security (watermarking) and medical X-ray analysis.

Research Areas: Computer Vision; Video Understanding; Scene Text Recognition

Signature Work: A Novel Key Flow Frame Selection Method for Video Classification (AJSE, 2024).

Impact: Expertise in video understanding, human action recognition and Arabic scene text analysis.

Research Areas: Computational Intelligence; Robotics & STEM Ed; Optimisation; Edge AI

Signature Work: Particle swarm optimisation variants (2025); neonatal HR estimation via transfer learning (2025).

Impact: Research in optimisation algorithms and healthcare applications; robotics/STEM education.