Dr. Ahmad Salman is an accomplished academic and researcher specializing in artificial intelligence, machine learning, and data analytics. He earned his PhD in Computer Science from the University of Manchester, UK, with a focus on machine learning, speech processing, and data analytics. His doctoral research produced state-of-the-art advancements in speaker recognition using deep neural architectures. With over 13 years of academic experience across the UK, Pakistan, and the UAE, Dr. Salman has held prominent roles, including Associate Professor at the National University of Sciences and Technology (NUST), Islamabad, Pakistan and now in American University in the Emirates, Dubai.
Alongside academia, Dr. Salman has extensive industry experience, having worked as Senior Scientist at VEEVE Inc. in Seattle, where he led machine learning teams to develop contactless retail solutions. He continues to consult for leading companies such as EZShifa, where he is developing AI-based health monitoring applications, and Fox Sports USA, where he contributes to deep learning solutions for game data analytics. His applied research spans domains such as biomedical engineering, retail technology, underwater video analytics, and audio signal processing.
Dr. Salman has successfully supervised two PhD and more than 25 MS students, alongside 60+ undergraduate projects, reflecting his strong commitment to mentoring and academic leadership. He has secured multi-million research grants from organizations including IGNITE Pakistan, DAAD Germany, HEC Pakistan, and NVIDIA USA, with projects ranging from object detection for the visually impaired to fish biodiversity estimation and AI-driven healthcare analytics.
A prolific researcher, Dr. Salman has published widely in high-impact journals such as Scientific Reports, IEEE Transactions on Neural Networks, ICES Journal of Marine Science, and Ecological Informatics. He serves as an editor and peer reviewer for leading international journals and has arranged workshops on emerging AI technologies. With expertise spanning both academic and industrial research, Dr. Salman continues to bridge innovation and practical impact in the fields of artificial intelligence and data-driven solutions
