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Employment (4)

University of Connecticut: Storrs, CT, US

2018-08 to present | Ph.D. Student (Chemical and Biomolecular Engineering)
Employment
Source: Self-asserted source
Utsav Awasthi

Carnegie Mellon University: Pittsburgh, Pennsylvania, US

2017-12 to 2019-06 | Research Assistant (Chemical Engineering)
Employment
Source: Self-asserted source
Utsav Awasthi

Reliance Industries Limited Reliance Corporate Park Ghansoli: Ghansoli, Maharashtra, IN

2013-09 to 2016-07 | Optimization Engineer (RTG)
Employment
Source: Self-asserted source
Utsav Awasthi

Reliance Industries Limited Reliance Corporate Park Ghansoli: Hazira, Gujarat, IN

2012-07 to 2013-08 | Process Engineer (MEG/DEG/TEG Production plant)
Employment
Source: Self-asserted source
Utsav Awasthi

Education and qualifications (3)

University of Connecticut: Storrs, CT, US

2018 to 2023 | Ph.D. (Chemical and Biomolecular Engineering)
Education
Source: Self-asserted source
Utsav Awasthi

Carnegie Mellon University: Pittsburgh, Pennsylvania, US

2016 to 2018 | MS (Chemical Engineering)
Education
Source: Self-asserted source
Utsav Awasthi

Indian Institute of Technology (BHU) Varanasi: Varanasi, Uttar Pradesh, IN

2008 to 2012 | B.Tech. (Chemical Engineering)
Education
Source: Self-asserted source
Utsav Awasthi

Works (7)

Symbolic regression-based method for developing a physics-informed surrogate model for a manufacturing process

Computer Aided Chemical Engineering
2023 | Book chapter
DOI: 10.1016/b978-0-443-15274-0.50248-1
Part of ISBN: 9780443152740
Part of ISSN: 1570-7946
Contributors: Utsav Awasthi; George M. Bollas
Source: Self-asserted source
Utsav Awasthi

Hybrid data-driven and model-informed online tool wear detection in milling machines

Journal of Manufacturing Systems
2022 | Journal article
DOI: 10.1016/j.jmsy.2022.04.001
EID:

2-s2.0-85128315014

Part of ISSN: 02786125
Contributors: Yang, Q.; Pattipati, K.R.; Awasthi, U.; Bollas, G.M.
Source: Self-asserted source
Utsav Awasthi via Scopus - Elsevier

Physics-based modeling and information-theoretic sensor and settings selection for tool wear detection in precision machining

Journal of Manufacturing Processes
2022-09 | Journal article
DOI: 10.1016/j.jmapro.2022.06.027
Part of ISSN: 1526-6125
Contributors: Utsav Awasthi
Source: Self-asserted source
Utsav Awasthi

Multi‐objective optimization for cost‐efficient and resilient machining under tool wear

Journal of Advanced Manufacturing and Processing
2022-08-09 | Journal article
DOI: 10.1002/amp2.10140
Part of ISSN: 2637-403X
Part of ISSN: 2637-403X
Contributors: Utsav Awasthi
Source: Self-asserted source
Utsav Awasthi

Optimal test and sensor selection for active fault diagnosis using integer programming

Journal of Process Control
2020 | Journal article
DOI: 10.1016/j.jprocont.2020.06.007
EID:

2-s2.0-85087217437

Part of ISSN: 09591524
Contributors: Awasthi, U.; Palmer, K.A.; Bollas, G.M.
Source: Self-asserted source
Utsav Awasthi via Scopus - Elsevier

Sensor network design for smart manufacturing - Application on precision machining

IFAC-PapersOnLine
2020 | Conference paper
DOI: 10.1016/j.ifacol.2020.12.581
EID:

2-s2.0-85105102854

Part of ISSN: 24058963
Contributors: Awasthi, U.; Bollas, G.M.
Source: Self-asserted source
Utsav Awasthi via Scopus - Elsevier

Multiperiod optimization model for oilfield production planning: bicriterion optimization and two-stage stochastic programming model

Optimization and Engineering
2019 | Journal article
DOI: 10.1007/s11081-019-09455-0
EID:

2-s2.0-85069523948

Part of ISSN: 15732924 13894420
Contributors: Awasthi, U.; Marmier, R.; Grossmann, I.E.
Source: Self-asserted source
Utsav Awasthi via Scopus - Elsevier
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