Dr. Shahrzad Saremi

Dr Shahrzad Saremi is a researcher and academic with over a decade of experience in computing and information technology. She has published more than 20 high-impact research articles, attracting over 15,000 citations and demonstrating the significant international reach and impact of her research contributions.

Her research spans multiple interdisciplinary domains, including bio-inspired optimisation, artificial intelligence (AI), machine learning, human–computer interaction (HCI), Internet of Things (IoT), Internet of Vehicles (IoV), cybersecurity, smart systems, and digital education. She is widely recognised for her co-development of nature-inspired metaheuristic algorithms, including the Grasshopper Optimisation Algorithm and Salp Swarm Algorithm, which have been extensively applied to complex engineering and computational problems.

Her current research increasingly focuses on the application of AI, IoT and intelligent technologies to real-world challenges, including connected and smart environments, IoV and secure communication systems, and technology-enabled education. In the education domain, her recent work explores Generative AI (GenAI), responsible and ethical AI integration, AI-supported learning environments, student engagement, and the effective integration of emerging technologies into higher education. Her research combines technical innovation with human-centred approaches to examine how intelligent technologies can enhance learning, interaction, decision-making and user experience.

Her work in HCI further investigates user experience, gesture recognition, augmented reality and creative technologies, alongside knowledge management and knowledge-sharing behaviours in organisational and educational contexts.

Dr Saremi is deeply committed to fostering engaging, student-centred learning environments and mentoring the next generation of researchers. She actively supervises Higher Degree by Research (HDR) candidates and welcomes enquiries from motivated domestic and international researchers whose interests align with her areas of expertise.