
Satish Bukkapatnam
· Department Head, Industrial & Systems Engineering, Professor, Industrial & Systems Engineering, Sugar and Mike Barnes Department Head Chair, Industrial & Systems Engineering, Regents Professor, Rockwell International Professor, Director, TEES Institute for Manufacturing Systems, Affiliated Faculty, Multidisciplinary Engineering and Biomedical EngineeringTexas A&M University · Industrial & Systems Engineering
Active 1977–2026
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About
Satish Bukkapatnam is a Professor and the Department Head of Industrial & Systems Engineering at Texas A&M University. His research interests include smart manufacturing, harnessing high-resolution nonlinear dynamic information from wireless micro-electromechanical systems sensors, and improving monitoring and prognostics of ultraprecision and nanomanufacturing processes and machines. He also focuses on wearable sensors for cardiorespiratory process prognostics. His work has led to five pending patents. Bukkapatnam has received numerous awards and honors, including being a Fellow of the Society of Manufacturing Engineers (SME) and the Institute of Industrial and Systems Engineering (IISE), as well as the Fulbright-Tocqueville Distinguished Chair Award for 2019-20. He holds a Ph.D. in Industrial & Manufacturing Engineering from Pennsylvania State University, obtained in 1997, and has contributed significantly to the field through research, publications, and leadership roles.
Research topics
- Computer Science
- Risk analysis (engineering)
- Business
- Engineering
- Manufacturing engineering
- Computer Security
- Materials science
- Composite material
- Political Science
- Mechanical engineering
Selected publications
Procedia Manufacturing · 2021 · 176 citations
Directed Energy Deposition (DED) processes allow additive manufacturing and repair of metallic components with generatively-designed complex geometries, and excellent compositional control. However, its applicability and adoption have been limited when compared to powder bed fusion (PBF) because several issues and anomalies innate to the process are yet to be suitably understood and resolved. This work catalogues and delineates these anomalies in the DED process along with their causes and solut…
Additive Manufacturing Cyber-Physical System: Supply Chain Cybersecurity and Risks
IEEE Access · 2020 · 133 citations
Additive Manufacturing (AM) methods have become increasingly efficient and industrially viable in the past ten years. These methods offer the freedom of complexity to the designers and choices of localized and pull-based production system to the managers. These propositions of AM have been enabling custom manufacturing and are catalysts for rapid growth of additive manufacturing (AM). This paper analyzes the general characteristics of AM supply chain and proposes three AM supply chain models bas…
Journal of Manufacturing Processes · 2020 · 56 citations
Senior authorCorrespondingJournal of Manufacturing Processes · 2024-04-20 · 7 citations
articleSenior authorCorrespondingJournal of Manufacturing Processes · 2024-05-18 · 6 citations
articleSenior authorCorresponding
Recent grants
I-Corps: SleepEez: Point-of-care sensor for prediction and prevention of sleep apnea
NSF · $50k · 2014–2014
NSF · $230k · 2014–2018
NSF · $120k · 2016–2018
Frequent coauthors
- 59 shared
R. Komanduri
Oklahoma State University
- 37 shared
Ashif Sikandar Iquebal
Arizona State University
- 35 shared
Mohamed El Mansori
École nationale supérieure d'arts et métiers
- 33 shared
Faissal Chegdani
HESAM Université
- 30 shared
Lionel M. Raff
Oklahoma State University
- 30 shared
Yu Ding
Binghamton University
- 29 shared
Shilan Jin
Texas A&M University
- 29 shared
Akash Tiwari
Labs
Industrial & Systems Engineering, Texas A&M UniversityPI
Awards & honors
- Fulbright-Tocqueville Distinguished Chair Award (2019-20)
- IISE Transactions best paper award (honorable mention, 2019)
- Global Grand Challenges best undergraduate project poster aw…
- Best AggiE-challenge project award (2016, 2017)
- IISE Transactions best application paper award honorable men…
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