AI researcher affiliated with Zarqa University and founder of Salmany AI. My primary direction is Anticipatory Intelligence: proactive resource allocation, test-time compute and continual learning.
Published work spans AI/VR for vehicle safety, phishing detection and infrastructure optimization, including Scientific Reports, World Electric Vehicle Journal, Frontiers in Computer Science and IEEE proceedings. Submitted manuscripts are separate from published work.
Salmany AI is medical multimodal research and development focused on text, audio, images, video, ECG, EEG and other medical signals; no clinical approval or validated clinical performance is claimed.
Practical study includes an Agents Course research-agent project and five adapted TensorFlow Advanced NLP notebooks, executed locally; translation quality remains unvalidated. Selected supporting learning covers agent systems, advanced MCP, explainability, time series, deep learning, research ethics and ICH GCP E6(R3). Course awards are distinct from professional certifications.
IEEE Access reviewer with 200+ verified review contributions on Web of Science. I welcome research collaboration, PhD opportunities and relevant AI/ML roles.
https://orcid.org/0009-0001-0981-1008
باحث في الذكاء الاصطناعي؛ الذكاء الاستباقي والذكاء الاصطناعي الطبي متعدد الوسائط.
AI researcher affiliated with Zarqa University and founder of Salmany AI. My primary direction is Anticipatory Intelligence: proactive resource allocation, test-time compute and continual learning.
Published work spans AI/VR for vehicle safety, phishing detection and infrastructure optimization, including Scientific Reports, World Electric Vehicle Journal, Frontiers in Computer Science and IEEE proceedings. Submitted manuscripts are separate from published work.
Salmany AI is medical multimodal research and development focused on text, audio, images, video, ECG, EEG and other medical signals; no clinical approval or validated clinical performance is claimed.
Practical study includes an Agents Course research-agent project and five adapted TensorFlow Advanced NLP notebooks, executed locally; translation quality remains unvalidated. Selected supporting learning covers agent systems, advanced MCP, explainability, time series, deep learning, research ethics and ICH GCP E6(R3). Course awards are distinct from professional certifications.
IEEE Access reviewer with 200+ verified review contributions on Web of Science. I welcome research collaboration, PhD opportunities and relevant AI/ML roles.
https://orcid.org/0009-0001-0981-1008
باحث في الذكاء الاصطناعي؛ الذكاء الاستباقي والذكاء الاصطناعي الطبي متعدد الوسائط.