Graduate Student
Computational Science and Mechanical Engineering
Pittsburgh, Pennsylvania, U.S.A. | |
+1 (412) 626-2456 | |
joej@cmu.edu |
I am currently pursuing a Masters Degree in Mechanical Engineering from Carnegie Mellon University (CMU).
I am conducting research at the Computation Engineering & Robotics Lab (CERLAB) supervised by Professor Kenji Shimada
with the ShapeOpt and Cell3DP (BME) teams, where am I working in the interdisciplinary fields of complex computational
analysis (FEA, CFD), Computer-Aided Design (CAD), and Machine Learning in the application of Engineering Design.
During my Bachelors, I partook in the Formula Student (FSAE) initiative at Delhi Technological University (DTU) exposing me
to a plethora of topics spanning a wide variety of disciplines including, computational fluid dynamics, structures,
composite material fabrication, electronics and design optimization.
My research interests are in the cutting edge technologies of Machine Learning, Fluid Structure simulation and
Computational Design Optimisation that benefit in the fields of Naval, Aerospace, Automotive,
Energy, and Bio-Mechanics.
My Passion
For years, we have seen designers drawing cues from nature. We see those inspired shapes and
patterns all around us, like a bullet train’s nose inspired from a kingfisher’s bill, wind turbine
arrangements inspired by schools of fish, and sustainable buildings inspired by anthill’s natural
ventilation. But more recently, we have seen a boom in Computational Simulations and Artificial
Intelligence, so much so that “AI Beats Human” is a daily occurrence. In Mechanical Design, I
have realized, through my academic experiences and projects, the superiority of computational
tools, predictive models, and optimization algorithms. These are promising areas of research, and
these methodologies could set the tone for future designers.
I envision a future where wind turbines adapt to the weather, aircrafts morph their wings to counter
turbulence, and ships that “swim” through rough seas. With the advent of compliant mechanisms,
soft robotics and advances in material science, this future does not seem too distant. I hope to
contribute to this future with my research in computational shape optimization and to investigate
the potential extent and viability of these future technologies.
Conventional mechanical design involves optimising part performance through a manual iterative process
of protoype testing and simulation, which results in a snail's pace in time resulting in enormous production costs.
According to my vision, revolutionary new technologies like 3D printing, advanced computer aided simulations
coupled with the data driven approach of artificial intelligence fueled with the rise in computational power,
will all intersect to provide a more tailor-made future, propelling us into the augmented age, where our unique needs may be met,
further reinforcing my vision to “Personalise the products and infrastructure of tomorrow“.
Gone are the days of one for a million design, its time to embrace a one for one design ideology.
Education
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M.S. in Mechanical Engineering
August 2019 - May 2021
Carnegie Mellon University
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B.Tech. in Mechanical Engineering
August 2014 - May 2018
Delhi Technological University
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All India Senior Secondary Certificate Exam
April 2009 - March 2014
Mount Saint Mary's School, Parade Road