Professor Ashutosh Tiwari
FREng
Royal Academy of Engineering/Airbus Research Chair in Digital Manufacturing, University of Sheffield , as of 2023
Fellow , Elected 2023 , Yorkshire and the Humber , Academia
Listed by the Academy’s directory under Airbus
Professor at the University of Sheffield, working on advanced manufacturing and aerospace manufacturing. Elected a Fellow of the Royal Academy of Engineering in 2023.
Summary generated from the sources below
Expertise
- Advanced Manufacturing
- Aerospace Manufacturing
- Computer Aided Manufacture
- Computer Controlled Manufacture
- Manufacturing
- Manufacturing Machinery
- Manufacturing Processes
- Simulation
- Airframes
- Computer-Human Interaction
- Data Fusion
- Design Optimisation
- Genetic Algorithms
- Higher Education
- Human-Computer Interaction
- Knowledge Transfer
- Research and Development
Links
Sources
- Identity
Confirmed (grade B) , the Academy’s directory lists them under University of Sheffield, and a source names them there , RAEng directory , 11 Oct 2026 , RAEng citation , 30 Sep 2026
Why we think this is them
RAEng directory , 11 Oct 2026 , lists them under University of Sheffield
RAEng citation , 30 Sep 2026 , names them at University of Sheffield , announces their election in 2023
sheffield.ac.uk , 11 Oct 2026 , states they are a Fellow
- Directory entry, Listed under
RAEng directory , 30 Sep 2026 , read from the page , facts , high confidence
- Role, Links
RAEng citation , 30 Sep 2026 , read from the page , facts , high confidence , as of 2023
- Organisation
RAEng citation , 30 Sep 2026 , read from the page , facts , high confidence , as of 2023
sheffield.ac.uk , 11 Oct 2026 , extracted by a language model , facts , high confidence
- Sector
RAEng citation , 30 Sep 2026 , inferred from the organisation , facts , high confidence , as of 2023
- Summary
RAEng citation , 30 Sep 2026 , extracted by a language model , facts , high confidence
RAEng directory , 11 Oct 2026 , extracted by a language model , facts , high confidence
sheffield.ac.uk , 11 Oct 2026 , extracted by a language model , facts , high confidence