Ashim Datta

About

Professor Ashim Datta's research and teaching focus on enabling computer-aided food engineering aimed at reducing resource use in food product, process, and equipment design. His work involves building a comprehensive physics framework, a resource platform, and fostering a community to support this goal. The research includes three main ongoing projects: developing a food properties knowledge base, achieving high-speed simulations for practical "what if" scenarios, and creating educational materials to complement these efforts. The universal physics framework developed by Professor Datta models processes in solid foods by treating them as deformable-swellable porous media where multiphase and multicomponent transport, such as energy and water transport and fluid flow, occur alongside deformation. The framework also incorporates associated physics like solid mechanics and electromagnetics as needed. In addition to his research, Professor Datta has a strong interest in teaching and learning within biological engineering, particularly focusing on active learning approaches in heat and mass transfer and the modeling of biomedical and food processes.

Research topics

• Political Science
• Medicine
• Computer Science
• Systems engineering
• Engineering
• Biomedical engineering
• Materials science
• Biology
• Biophysics
• Business

Selected publications

• Perspectives from CO+RE: How COVID-19 changed our food systems and food security paradigms

  Current Research in Food Science · 2020 · 206 citations

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• Digital twins of food process operations: the next step for food process models?

  Current Opinion in Food Science · 2020 · 175 citations

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• A bioinspired scaffold for rapid oxygenation of cell encapsulation systems

  Nature Communications · 2021 · 80 citations

  transport through the whole system to cells several millimeters away from the device-host boundary. A computational model, validated by in vitro analysis, predicts that cells and islets maintain high viability even in a thick (6.6 mm) device. Finally, the therapeutic potential of the device is demonstrated through the correction of diabetes in immunocompetent mice using rat islets for over 6 months.

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• Inflammation-induced subcutaneous neovascularization for the long-term survival of encapsulated islets without immunosuppression

  Nature Biomedical Engineering · 2023-12-05 · 28 citations

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• Deep learning enabled surrogate model of complex food processes for rapid prediction

  Chemical Engineering Science · 2023-01-31 · 17 citations

  articleSenior authorCorresponding
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Frequent coauthors

• Nan Fu

  818 shared

• Aditya Putranto

  University of Surrey

  818 shared

• Agus Saptoro

  Curtin University Sarawak

  818 shared

• Sakamon Devahastin

  King Mongkut's University of Technology Thonburi

  818 shared

• Weibiao Zhou

  National University of Singapore

  818 shared

• Marianne Su‐Ling Brooks

  Palmerston North Hospital

  818 shared

• J. Benedito

  818 shared

• Matt Hardin

  Soochow University

  818 shared

Awards & honors

• International Association of Engineering and Food (IAEF) Lif…
• American Society of Engineering Education (ASEE) Excellence…
• Stephen H. Weiss Presidential Fellow, Cornell University (20…
• Fellow, Institute of Food Technologists (2013)

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