Dr Amir Hajiyavand PhD, MEng, FHEA, AMIMechE

• Fellow of the Higher Education Academy (FHEA), UK
• PhD in Mechanical Engineering, University of Birmingham, UK
• MEng in Mechanical Engineering, University of Birmingham, UK

Dr Amir Hajiyavand is an Associate Professor in the School of Engineering, University of Birmingham, United Kingdom. He holds both a Masters of Engineering (MEng) degree in Mechanical Engineering (Biomedical) and a PhD in Robotics from University of Birmingham. His research is centred on the design and development of advanced robotic and automated systems, with a particular focus on integrating Artificial Intelligence (AI) to address challenges in various such as healthcare, manufacturing and the Circular Economy. His expertise spans industrial automation, robotic inspection, robotic manipulation, and high-precision micromanipulation, enabling the development of intelligent robotic platforms for complex industrial and medical applications.

Dr Hajiyavand has extensive experience in translating innovative technologies from early-stage research to real-world deployment, successfully advancing solutions across the full spectrum of Technology Readiness Levels (TRLs). He has established strong collaborations with industrial partners and leading academic institutions worldwide, delivering interdisciplinary research that bridges fundamental robotics, AI, and engineering applications. His work is dedicated to enhancing the efficiency, precision, adaptability, and autonomy of next-generation robotic systems, contributing to advances in manufacturing, healthcare, and sustainable technologies.

In addition to developing cutting-edge robotic technologies, Dr Hajiyavand's research places a strong emphasis on accelerating the adoption of robotics across industry and society. His work addresses the technical, economic, and operational challenges associated with integrating robotic and AI-driven systems into real-world environments, enabling organisations to enhance productivity, quality, resilience, and sustainability. By working closely with industrial partners, policymakers, and end users, he contributes to the development of practical, scalable, and user-centred automation solutions that support digital transformation and the wider uptake of advanced robotics across sectors.

• Applied Robotics
• Telerobotics, Telepresence and Augmented Reality
• Mechanical Design B
• Integrated Design Project
• Final Year Research Project and Advanced Projects
• Synoptic Mechanical Engineering

Dr Amir Hajiyavand welcomes applications from postgraduate (MRes and PhD) students interested in robotics, automation, and Artificial Intelligence (AI). He is particularly interested in supervising research in the following areas:

• Robotics and Intelligent Autonomous Systems
• Robotics for Inspection and Monitoring
• Artificial Intelligence and Machine Learning for Robotics
• Industrial Automation and Smart Manufacturing
• Robotic Inspection and Non-Destructive Evaluation (NDE)
• Robotic Manipulation and Dexterous Robotics
• Precision Robotics and Micromanipulation
• Medical and Healthcare Robotics
• Human–Robot Collaboration
• Computer Vision and Sensor Fusion for Robotic Systems
• Intelligent Manufacturing Systems
• Robotics for the Circular Economy and Sustainable Manufacturing
• Technology Translation and Industrial Deployment of Robotic Systems

Prospective students with interests in interdisciplinary research at the interface of robotics, AI, advanced manufacturing, healthcare technologies, and sustainable engineering are encouraged to get in touch to discuss potential research opportunities.

Dr Amir Hajiyavand's research focuses on advancing intelligent robotics, automation, and Artificial Intelligence (AI) to develop innovative solutions for real-world challenges across manufacturing, healthcare, and the Circular Economy. His work combines robotics, computer vision, sensing technologies, and AI to design autonomous systems capable of operating safely, efficiently, and reliably in complex and dynamic environments. A key objective of his research is to bridge the gap between fundamental scientific advances and industrial deployment by translating emerging technologies into practical, high-impact solutions.

His research spans several interconnected themes, including robotic manipulation, industrial automation, robotic inspection, precision robotics, and AI-enabled autonomous systems. He develops intelligent robotic platforms for applications such as automated inspection and quality assurance, advanced manufacturing, high-precision micromanipulation, medical and healthcare technologies, and sustainable manufacturing. His work also explores human–robot collaboration and intelligent decision-making, enabling robotic systems to adapt to changing environments and perform increasingly complex tasks with greater autonomy.

A significant aspect of Dr Hajiyavand's research is promoting the successful adoption of robotics within industry. He works closely with industrial partners to address the technical and practical barriers to automation, ensuring that robotic solutions are scalable, reliable, economically viable, and aligned with end-user requirements. Through multidisciplinary collaborations, he supports the digital transformation of manufacturing and other sectors by integrating robotics, AI, and smart sensing technologies into next-generation production systems.

Dr Hajiyavand has extensive experience leading and contributing to collaborative research projects involving universities, research organisations, and industrial partners across the UK and internationally. His research aims to accelerate innovation across the full spectrum of Technology Readiness Levels (TRLs), from early-stage concept development to real-world implementation. By combining scientific excellence with industrial relevance, his work contributes to the development of intelligent robotic technologies that improve productivity, precision, sustainability, and quality of life.