Data-driven design and manufacturing CoLAB (D3M_CoLAB)
Upskilling local people in data science to help them solve real world manufacturing problems.
Contact our teamThe D3M_CoLAB project is exploring the potential of data science to solve real-world manufacturing problems and boost productivity by upskilling 300 local engineers.
We are developing a hub that works with manufacturers to identify projects where advanced data analytics can improve their design, decision making, and operational effectiveness, ultimately making them more productive and competitive. We are embedding data science capabilities into those organisations through a portfolio of workforce upskilling courses provide ongoing data science support from NMIS and PhD students from the University of Strathclyde to drive deployment of cutting edge data solutions.
Our programme also allows companies to safely explore ideas to drive forward data-driven transformation within their businesses by enabling them to replicate their physical and digital infrastructure without impacting daily business operations.
Andrew Sherlock
Director of Data-Driven Manufacturing, NMIS
Andrew Sherlock is a dynamic leader and innovator, currently serving as a Professor of Practice at the University of Strathclyde and as the Director of Data-Driven Manufacturing at NMIS. With a remarkable track record spanning over 17 years, Andrew has successfully navigated various leadership roles, including CEO positions at EdAR (Software) Ltd and ShapeSpace Ltd. His entrepreneurial spirit and expertise in data-driven manufacturing have been instrumental in driving growth and innovation in both academic and industry settings. Prior to his current roles, Andrew held the position of Professor of Data-Driven Manufacturing at the University of Edinburgh, further solidifying his reputation as a thought leader in the field. Andrew's diverse experiences and unwavering commitment to excellence continue to shape the future of manufacturing and academia in Scotland and beyond.
Olga Bylya
Research Fellow, NMIS
Olga is a dedicated Research Fellow at NMIS where she has been instrumental in advancing research and innovation since she joined. With over 25 years of experience in academia and research, Olga has held key roles globally, including as a Research Scientist at the Institute of Mechanics, Lomonosov Moscow State University, and as a Full Professor at the Institute of Technical Education and Research, SoA University in Bhubaneswar, India. Her expertise spans various aspects of mechanics and technical education, and she has made significant contributions to the field through her roles as an Associate Professor and Research Scientist. Olga's passion for research and her unwavering dedication to academia continue to drive impactful advancements in her field.
David Wilson
Business Development, NMIS
David is a seasoned Business Development Manager at NMIS, bringing with him a wealth of expertise in the industry. He embarked on his journey with NMIS in 2017, initially contributing his talents to the AFRC. Prior to his role at NMIS, David flourished as a business owner, honing his entrepreneurial skills and gaining invaluable insights into the intricacies of business operations. Additionally, his tenure in CRM system management has equipped him with a keen understanding of client relationship dynamics, further enhancing his capabilities in driving business growth and fostering fruitful partnerships.
Aleksey Reshetov
Research Associate, NMIS
Aleksey is an experience Research Associate with a rich background in solid mechanics and finite element analysis (FEA). Currently, he plays a pivotal role at NMIS where he has been contributing his expertise since March 2023. Prior to this, Aleksey honed his skills and made significant contributions as a Research Associate at the AFRC for nearly a decade. His extensive experience and proficiency in FEA, coupled with a strong foundation in research support, have established him as a valuable asset in advancing manufacturing technologies. Aleksey's dedication and expertise continue to drive impactful advancements in his field.
Jose Hernandez
NMIS Continuous Professional Development Lead, Manufacturing Skills Academy
Jose is a multifaceted professional with a diverse background spanning academia, industry, and entrepreneurship. He brings many years of expertise in fostering collaboration and driving innovation within the manufacturing sector to NMIS. Previously, Jose played a pivotal role as the NMIS CPD Manager & AMCF Project Lead, spearheading initiatives to enhance professional development and advance manufacturing capabilities. In addition to his contributions at NMIS, Jose is the Founder of Cycological UK Ltd, a pioneering bicycle accessories design and product development company driven by a passion for good design and cycling. With extensive experience at the University of Strathclyde, including roles as a Knowledge Exchange & CPD Coordinator and a Research Associate, Jose has demonstrated his proficiency in Lean Six Sigma, product development, and knowledge transfer. His career journey reflects a commitment to driving positive change and fostering innovation across various domains.
Jianfeng Huang
R&D engineer, NMIS
Jianfeng is a Data Scientist at NMIS, leveraging his expertise in advanced software development and data analytics. Prior to this role, he served as an Advanced Software Developer in NX Motion Simulation at Siemens PLM Software in Shanghai. Jianfeng holds a Doctor of Philosophy (Ph.D.) in Mechanical Engineering from Glasgow Caledonian University, specializing in progressive die strip layout processes with Knowledge-Based Engineering (KBE). He also earned a Master's Degree in Materials Engineering from Huazhong University of Science and Technology, further enhancing his interdisciplinary skill set. With a passion for innovation and problem-solving, Jianfeng is dedicated to driving advancements in data science and engineering.
Sarini Jayasinghe
Data Scientist, NMIS
In 2016, Sarini earned her bachelor's degree in manufacturing engineering from Peradeniya University. Starting her Ph.D. studies at the University of Liverpool in January 2018, she excelled in developing a real-time machine-learned model to identify anomalies in additively manufactured builds. Bridging manufacturing, control systems, and machine learning, her research thrived.
During her Ph.D., she ventured into part-time research, crafting a machine-learned online model predicting furnace fault density in float glass sheets. This work laid the foundation for implementing a digital twin in float glass production.
Completing her Ph.D. thesis in February 2021, Sarini seamlessly transitioned into a role as a part-time research assistant. Currently, as the Data Analytics Theme Lead in the Digital and Metrology team at NMIS, she spearheads research and development in data exploration, model development, validation, decision support systems, and autonomous agent development for smart factory systems.
Aasiya Thabassum
Data Scientist, NMIS
Aasiya is a Data Engineer with a degree in Computer Science Engineering. With a strong foundation cultivated at industry leaders such as Microsoft, Dell Technologies, and BAE Systems, she brings over 9 years of global experience to the tech landscape. Having worked in countries like India and Malaysia, she is now based in the UK, immersing herself in diverse aspects of research and manufacturing at NMIS.
Kate Murdoch
Business Development Manager, NMIS
Kate is a driven Business Development Manager with a strong background in manufacturing and research. Currently based at NMIS, Kate has been instrumental in driving business growth and fostering industry collaboration since March 2023. Prior to her role at NMIS, she served as the CPD Project Lead, where she led the design, development, and promotion of online digital manufacturing and leadership CPD for SMEs across all manufacturing sectors. Kate's expertise extends to her tenure as an NMIS MSA Digital Technologist at the AFRC where she played a key role in developing and promoting contemporary digital e-learning solutions to upskill Scotland's manufacturing workforce. With her extensive experience, strong research skills, and passion for innovation, Kate continues to make meaningful contributions to the manufacturing industry.
Training
Explore a diverse range of courses, spanning from Data Science in Manufacturing to Fundamentals of Innovation Engineering.
This project is part-funded by the Glasgow City Region Innovation Accelerator programme.
Led by Innovate UK on behalf of UK Research and Innovation, the pilot Innovation Accelerator programme is investing £100m in 26 transformative R&D projects to accelerate the growth of three high-potential innovation clusters – Glasgow City Region, Greater Manchester and West Midlands.
