Harsha Krishna

PHD Student at KTH Royal Institute of Technology

Stockholm, Sweden
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Summary

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Harsha Krishna is a PhD student and researcher with 17 years of experience building agent-based simulations, games, and tools to study complex social and urban systems. Currently at KTH he applies graph databases for data fusion to investigate youth mental health, while contributing to KTH Cloud and Software Makerspace. His background spans academic research and industry leadership, including a CTO stint and long-term roles developing transport and land-use models. Trained in multi-agent systems and operating systems (MTech) and with a PhD focus in medical logistics, he blends rigorous modeling with practical system development. He frequently develops simulation tools and games on GitHub, reflecting a persistent interest in interactive, experimental software. Colocated in Stockholm, he brings a rare mix of hands-on simulation engineering and applied research aimed at real-world social challenges.
code17 years of coding experience
job12 years of employment as a software developer
bookDoctor of Philosophy - PhD, Medical Logistics, Doctor of Philosophy - PhD, Medical Logistics at KTH Royal Institute of Technology
bookMTech, Operating Systems, Multi Agent Systems, MTech, Operating Systems, Multi Agent Systems at International Institute of Information Technology Bangalore
bookB.E., Computer Science & Engineering, B.E., Computer Science & Engineering at K S Institute of Technology, BANGALORE
languagesEnglish, Kannada
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Stackoverflow

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Github Skills (32)

bootstrap9
bootstrap-theme9
neo4j9
graph8
visualization7
disable7
jekyll7
jekyll-theme7
html7
react6
tampermonkey6
greasemonkey6
open-source6
dashboard6
userscripts6

Programming languages (8)

HCLTypeScriptC++MakefileJavaScriptHTMLRubyPython

Github contributions (5)

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FoV's main website code.
Contributions:8 PRs, 106 pushes, 9 branches in 5 years 8 months
fovnextjs
Contributions:32 pushes, 1 branch in 5 years 11 months
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Harsha Krishna - PHD Student at KTH Royal Institute of Technology