Dr. Shanay Rab is the course leader in mechanical engineering at the School of Architecture, Technology and Engineering (ATE), University of Brighton, United Kingdom. He is a mechanical engineer with a master’s degree in machine design and a PhD in pressure metrology and mechanical system design. 

Dr. Rab’s research lies at the intersection of metrology, mechanical system design, automation, and robotics. He has played a key role in the in-house design, development, fabrication, and performance evaluation of high-pressure equipment and precision mechanical systems. His work is characterised by a strong integration of theoretical analysis and practical implementation, with significant contributions in advanced structural and finite element analysis (FEA) using ANSYS and SolidWorks.

A central theme of his research is the development and strengthening of Quality Infrastructure (QI)-the combined public and private institutional framework governing metrology, standardisation, accreditation, and conformity assessment, including testing, calibration, inspection, and verification. His contributions to the scientific foundations of quality infrastructure are relevant to both theory and practice and provide a distinctive perspective from India and the Global South, enriching international discussions on global measurement systems, standards, and regulatory science.

Dr. Rab’s broader research interests also encompass advanced materials, structural design, additive manufacturing, and sustainable engineering solutions for real-world challenges. More recently, his work has expanded into robotics and the integration of artificial intelligence and data-driven tools into metrology, automation, and intelligent mechanical systems.

He has authored over 100 peer-reviewed research papers in leading international journals, including Nature Reviews Physics, Nature Physics, Measurement, Review of Scientific Instruments, Journal of Engineering Manufacture, Flow Measurement and Instrumentation, MAPAN, Current Science, JSIR, and IJPAP, among others. His publications have received over 7,000 citations, with an h-index of 32 (Google Scholar).

Dr. Rab serves as an associate editor of MAPAN: The Journal of the Metrology Society of India and is a committee member of the British Standards Institution (BSI) in the manufacturing sector. In 2024 and 2025, he was recognised among the top 2% of scientists worldwide by Stanford University and Elsevier.

Through his teaching, leadership, and research, Dr. Rab remains committed to inspiring the next generation of engineers and advancing the fields of metrology, finite element analysis, advanced manufacturing, robotics, and AI-enabled engineering systems.

My supervisory interests encompass topics in metrology, mechanical system design, robotics, advanced manufacturing processes, automation, and artificial intelligence. I am particularly intrigued by additive manufacturing research, the study of material properties, and the influences of external stimuli on structural integrity. These are areas that I am eager to further explore.

Teaching Philosophy

My teaching philosophy is rooted in knowledge, measurement-driven thinking, and intellectual curiosity, with a strong emphasis on understanding engineering principles through application, and critical analysis. As a mechanical engineer working in metrology, materials, mechanical system design, manufacturing, and automation, I believe effective engineering education must connect fundamental theory with measurable, real-world performance.

I teach Mechanics of Materials, Engineering Dynamics, and Manufacturing Systems, where I aim to equip students with the ability to think quantitatively, reason physically, and design responsibly. This approach aligns with Lord Kelvin’s well-known principle:

 

“If you cannot measure it, you cannot improve it.”
- Lord Kelvin

 

Approach to Teaching and Learning

My teaching emphasises accuracy, and engineering judgement. My background in pressure metrology and mechanical system design strongly informs my pedagogy. I highlight the importance of measurement, uncertainty, standards, tolerances, and system-level thinking, helping students appreciate how abstract models translate into reliable, repeatable, and manufacturable engineering systems.

Where appropriate, I integrate visualisation techniques, finite element concepts, and design-based reasoning, enabling students to bridge the gap between analytical solutions and modern engineering practice.

Active Learning and Student Engagement

I believe that learning in engineering is most effective when students are actively involved in constructing understanding. As Richard Feynman succinctly observed:

 

“What I cannot create, I do not understand.”
- Richard P. Feynman

 

In the classroom, this principle is reflected through problem-driven learning, guided derivations, group discussions, and case-based exercises. Students are encouraged to ask questions at any point and to articulate their reasoning, fostering confidence and deeper comprehension, particularly in mathematically intensive subjects such as Mechanics of Materials and Dynamics.

Assessment of Student Learning

Assessment is designed to support both mastery and reflection. I use a combination of formative assessments (in-class problem solving, short exercises, presentations, and feedback-driven activities) and summative assessments that test conceptual understanding and applied problem-solving ability.

I place strong emphasis on demonstrating the relevance of course content to engineering practice, advanced manufacturing, robotics, and emerging technologies. Reflective components are incorporated to help students evaluate their learning and develop professional self-awareness.

Classroom Environment and Inclusivity

I strive to maintain a supportive, inclusive, and interactive classroom environment. Students are encouraged to engage freely, contribute ideas, and learn collaboratively. Case studies and group work are used to enhance problem-solving, communication, and teamwork skills, key competencies for modern engineers.

To adapt teaching to student needs, I use informal feedback mechanisms, such as one-on-one discussion, to adjust pace and depth. I remain accessible to students inside and outside the classroom, supporting diverse learning styles and academic backgrounds.

Structure, Rhetoric, and Educational Vision

My teaching philosophy is guided by the belief that engineering education should cultivate precision, curiosity, and responsibility. By integrating research and real-world application, I aim to prepare students to contribute meaningfully to industry, research, and innovation.