Civil engineer · educator · researcher

Engineering safer.
Building smarter.

I’m an Instructor and researcher at Michigan State University working across structural engineering, computational mechanics, artificial intelligence, and resilient infrastructure.

Explore my research ↓

PKJ✳

Civil & Environmental Engineering
Michigan State University

01About

Engineer, educator, and researcher turning models into decisions.

Dr. Puneet K. Joshi is a civil and structural engineer and Instructor in MSU’s Department of Civil and Environmental Engineering. He teaches engineering mechanics and structural engineering courses and has taught more than 3,000 students at MSU.

His work brings together computational mechanics, artificial intelligence, structural fire engineering, protective design, sustainability, and resilient infrastructure to understand structural behavior and improve real-world decisions.

12+years across research, design, project management, and teaching

30+construction projects across multiple infrastructure sectors

711Google Scholar citations

PhDStructural Engineering

Civil EngineeringComputational MechanicsStructural Fire EngineeringArtificial IntelligenceComposite Structures

View my MSU Profile ↗

02Research

How can computation
make structures smarter?

04 / 04

AI for infrastructure inspection

Building practical computer-vision workflows for crack detection, quantification, coordinate-accurate mapping, confidence reporting, and repeat surveys.

Artificial intelligenceComputer vision

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Computational mechanics for resilience

Connecting finite-element modeling, nonlinear analysis, and large-scale field data to understand how structures respond, deteriorate, and perform.

Computational mechanicsFE modeling

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Data-informed decisions

Using weigh-in-motion records, influence lines, fatigue analysis, and nonlinear simulation to turn traffic data into structural decision support.

Machine learningBridges

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AI-assisted structural fire research

Modeling reinforced-concrete frames, masonry infills, walls, slabs, and beams under combined thermal and structural loading.

Structural fireSimulation

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03Publications

A growing body of
applied research.

Publication record and citation metrics from Google Scholar.

711Citations

7h-index

7i10-index

2020Fire hazard in buildings: review, assessment and strategies for improving fire safety↗2017Modeling the behavior of load bearing concrete walls under fire exposure↗2021Response of prestressed concrete beams under combined effects of fire and structural loading↗2023Effect of fire-induced restraint forces on fire behavior of reinforced and prestressed concrete beams↗2018Effect of fire on in-plane and out-of-plane behavior of reinforced concrete frames with and without masonry infills↗ALLView the complete Google Scholar profile↗

05Profile

From models
to decisions.

I bring research, design, project management, and teaching together to move engineering ideas into practice.

12+Years in research, design, and teaching

30+Construction projects across the world

3,000+MSU students taught

PhDStructural Engineering

Selected toolkit

PythonMachine learningComputer visionAbaqusANSYSMATLABC/C++FORTRANSAP2000RISARevitSTAADCivil 3DBIM 360SolidWorks

Education

PhDStructural Engineering · Michigan State University

MTechStructural Engineering · IIT Gandhinagar

BTechCivil Engineering · Amity University

Recognition & service

RecognitionPCI Charles C. Zollman Award

FellowshipsP. Jenny Fellowship · McCowen Fellowship

ResearchBest Poster Award · Mechanics & Structures

ServicePCI Committee 124 · ASCE SEI 2024 panel speaker

Emerging directions I’m interested in exploring

Physics-informed machine learningUncertainty-aware AI for inspectionDigital twins for infrastructureSurrogate models for nonlinear analysisMultimodal sensing and computer visionExplainable, trustworthy engineering AICausal machine learningMachine learning for civil engineeringData-driven materials discoveryRetrofitting aging structuresSustainable, resilient infrastructureLarge language models for engineeringCognitive and autonomous systemsAI in engineering education

06Students

For students who want
to understand how things work.

Curiosity, care, and a willingness to learn are a strong place to start.

Research directions

Potential projects can connect computational mechanics, finite-element modeling, AI, computer vision, structural fire engineering, bridge assessment, materials, and infrastructure resilience.

What you can learn

Students can build experience with Python, machine learning, numerical simulation, data analysis, technical communication, and translating engineering models into practical decisions.

How to reach out

Send a short note about your background, the questions you want to explore, and the skills you hope to develop. Include a résumé or project sample if you have one.

Start a conversation ↗

Good research questions are welcome.Interested in a challenging problem, an interdisciplinary collaboration, or a first step into computational research? Let’s talk.

07Service & outreach

Engineering knowledge
should travel.

Selected ways I connect research, practice, and the engineering community.

Professional service

PCI Committee 124 · ASCE SEI 2024 Fire Engineering panel

Knowledge transfer

Applied research, technical communication, consulting, workforce training, and quality-focused project delivery.

Collaboration

Open to research questions and partnerships at the intersection of structural engineering, AI, computational mechanics, and resilient infrastructure.

08Software

Engineering ideas.
Interactive tools.

Software for learning, exploring, and applying engineering mechanics.

Statics Studio

An interactive learning environment for engineering statics, bringing course materials, variable-based problems, and guided practice into one place. Students can work through mechanics problems and review feedback, while instructors organize content and assessments.

Engineering educationStaticsInteractive practice

Explore Statics Studio

Interested in connecting?

Let’s make
something safer.

kumarpu2@msu.edu ↗

Google Scholar MSU profile (517) 355-5107

Engineering safer.Building smarter.