AG

My work Philosophy

Research, Computation, and Engineering

My research focuses on building computational methods and scalable simulation technologies for solving complex engineering problems. I work at the intersection of computational mechanics, high-performance computing, and scientific machine learning, with applications in fracture mechanics, batteries, metamaterials, topology optimization, and advanced manufacturing.

I am interested in developing algorithms and software that combine mathematical rigor with real-world engineering impact. My work spans adaptive finite element methods, large-scale parallel simulations, and AI-driven scientific computing, with the goal of making high-fidelity simulations faster, more reliable, and more accessible to researchers and industry.

I strongly believe that meaningful breakthroughs happen through collaboration across disciplines. I am always excited to work with students, researchers, developers, and industry partners who are passionate about computational science, engineering, and building impactful technologies. If you are interested in research collaborations, open-source development, scientific software, or interdisciplinary projects, I would love to connect and explore ideas together.

Portrait

Experience

Assistant Professor

Dept. of Civil Engineering, Vanderbilt University, USA

2025 - Present

Leading research in computational mechanics, multi-physics simulation, and HPC while mentoring students and advancing scalable scientific computing methods.

Post-Doctoral Researcher

Dept. of Civil Engineering, Vanderbilt University, USA

2023 - 2024

Developed high-performance computational frameworks for fracture and multi-physics problems, focusing on adaptive methods and large-scale simulation workflows.

Founder and CEO

Avkalan Labs, India

01/2023-05/2023

Building scalable simulation software for multi-physics engineering, integrating cloud computing and intelligent workflows for next-generation design and analysis.

Entrepreneurial Lead

Adviser Labs, NSF Innovation Corps, USA

2023 - 2024

Translated research into startup opportunities through customer discovery, validating market needs and shaping commercialization strategy for deep-tech solutions.

Founder

eigenplus, India

2016 - Present

Created an educational platform simplifying mechanics and mathematics, reaching a global audience and fostering intuitive understanding of computational concepts.

Scientific Officer

NPCIL, India

2012 - 2017

Worked on structural analysis and design of nuclear power systems, ensuring safety, reliability, and performance in critical engineering infrastructure.

Education

Computational Mechanics

Development

Adaptive analysis using isoparametric and isogeometric elements: application towards topology optimization, fracture, and multi-physics problems

Indian Institute of Technology, Roorkee2022

Nuclear Science and Technology

Industrial Research

Analysis and design of Nuclear power plant structures considering AERB standards so that they can withstand extreme seismic events and power plant loads.

BRNS, Mumbai, India2012

M.Tech

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Structural Engineering

Design

Non-linear analysis of RCC structures for seismic loading in ABAQUS

Indian Institute of Technology, Roorkee, India2012

B.Tech

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Civil Engineering

Analysis

Development of a 2D finite element software for analysis and design of RCC buildings.

National Institute of Technology, Raipur, India2010

News

A collection of research updates, achievements, and publications documenting my academic journey, discoveries, and contributions to computational mechanics.

Recent news

Date
Description
30/06/2026PaperModeling of Crack Evolution in Composite Plates A Layerwise Phase Field Approach with Higher Order Plate TheoryRead More
30/06/2026PaperAn Adaptive Isogeometric Framework for Topology Optimization Based on a Reaction-Diffusion EquationRead More
01/06/2026WorkshopThe Phase-Field Approach to Fracture at EMI2026Read More
31/05/2026OutreachPersonal Academic WebsiteRead More
16/05/2026JudgingResults in EngineeringRead More