Sumanta Roy Email and Phone Number
I am currently a Ph.D. researcher at The Johns Hopkins University in Baltimore, MD. My work intersects computer science, engineering mechanics, and applied mathematics. My research focuses on advancing computational mechanics, and exploring innovative approaches through physics-informed machine learning. With a passion for blending data-driven and physics-based methods, I am dedicated to pushing the boundaries of scientific machine learning and its applications. My work has been published in several research papers, reflecting my commitment to advancing knowledge in these interdisciplinary fields.Feel free to connect or reach out to me at sroy41@jhu.edu. For an overview of my research contributions, visit my publication list here: https://scholar.google.com/citations?user=7pTScE8AAAAJ&hl=en
-
Graduate Research InternLawrence Livermore National LaboratoryLivermore, Ca, Us
-
Nicholas P. Jones FellowThe Johns Hopkins University Aug 2024 - PresentBaltimore, Maryland, United States -
Graduate Research AssistantIndian Institute Of Technology, Madras Sep 2022 - Jun 2024Chennai, Tamil Nadu, IndiaThesis: An Efficient Physics-informed Neural Networks Framework for Interface Problems• Developed a robust framework of PINNs, known as Interface PINNs (I-PINNs), for modeling heterogeneous physical systems with material interfaces. This framework is expected to have significant applications in modeling complex and highly heterogeneous subsurface systems with geological stratification, as well as naturally occurring faults.• Developed a robust framework for PINNs, termed composite neural networks (CoNN) to capture physics governed by coupled PDEs. -
Visiting Research StudentEpfl (École Polytechnique Fédérale De Lausanne) Jul 2023 - Sep 2023Lausanne, Vaud, Switzerland• Developed a tailored set of best practices to train PINNs for the highly heterogeneous forward and inverse problems in 1D/2D diffusion equations. • Extended the Interface PINNs (I-PINNs) and composite neural network (CoNN) frameworks to model heterogeneous poroelastic systems. -
Research AssociateIndian Institute Of Technology (Banaras Hindu University), Varanasi Jun 2021 - Jun 2022Varanasi, Uttar Pradesh, IndiaProject: Studying aspects of Soil Mechanics and incorporating them in Limit Analysis• Conducted a comparison of Darcian and Non-Darcian flows in unsaturated soil.• Analyzed suction stress profiles and evaluating the independence of Van Genuchten parameters.• Applyed upper bound limit analysis to compute bearing capacity and stability problems on unsaturated soil, considering various yield conditions. -
Research InternIndian Institute Of Technology (Banaras Hindu University), Varanasi Apr 2021 - Jun 2021Varanasi, Uttar Pradesh, IndiaNumerical Modelling of 2D Flow regimes in Unsaturated Soil.
-
Undergraduate Research AssistantJadavpur University Dec 2021 - May 2022Kolkata, West Bengal, IndiaDeveloped MATLAB codes to simulate the 1D consolidation of representative silty-clay samples, subject to various time varying ramp loadings
Sumanta Roy Education Details
-
Scientific Machine Learning
-
8.2/10
Frequently Asked Questions about Sumanta Roy
What company does Sumanta Roy work for?
Sumanta Roy works for Lawrence Livermore National Laboratory
What is Sumanta Roy's role at the current company?
Sumanta Roy's current role is Graduate Research Intern.
What schools did Sumanta Roy attend?
Sumanta Roy attended The Johns Hopkins University, Indian Institute Of Technology, Madras, Jadavpur University.
Not the Sumanta Roy you were looking for?
-
Sumanta Roy
Sr. Product Manager - Commerce Platform (B2C/B2B) | Stanford Gsb ProgramSan Francisco Bay Area1docusign.com -
Sumanta Roy
Frisco, Tx2gmail.com, jpmchase.com -
1kellogg.northwestern.edu -
Sumanta Roy
Santa Clara, Ca3gmail.com, google.com, google.com
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial