Gaurav Dhar
Postdoctoral Researcher at Inria
Lille, Hauts-de-France
Summary
👤
Senior🎓
Top SchoolGaurav Dhar is a postdoctoral researcher and engineer with 11 years of experience at the intersection of optimization, control theory and machine learning, now developing algorithms and software for a smart bioMEMS project at Inria. He combines a PhD in Control Theory with hands-on signal-processing research experience from Michigan Tech, bringing rigorous math to practical engineering problems like real-time cell characterization and classification. Comfortable spanning theory, algorithm design and production-ready software, he has a track record of adapting optimal control results to sampled-data systems with applications in robotics, aerospace and biomedical devices. Based in Lille and trained across top European institutions and Johns Hopkins, he pairs deep analytical breadth with domain-focused implementation skills, often pushing theoretical tools into experimental hardware contexts.
11 years of coding experience
7 years of employment as a software developer
Masters, Applied Mathematics, Masters, Applied Mathematics at Université de MontpellierMaster M1, Pure Mathematics, Master M1, Pure Mathematics at École PolytechniqueJohns Hopkins UniversityDoctor of Philosophy - PhD, Control Theory (Applied Mathematics), Doctor of Philosophy - PhD, Control Theory (Applied Mathematics) at Université de Limoges
English, French
Github Skills (23)
graph10
semantic-web10
knowledge-graph10
question-answering10
data-set9
word2vec9
linked-data9
natural-language-processing9
sparql9
nlp9
rdf9
deep-learning8
artificial-intelligence8
sansa4
gradient4
Programming languages (6)
Github contributions (5)
AskNowQA/AskNowNQS
Dec 2016 - Jul 2017
A question answering system for RDF knowledge graphs.
Contributions:51 commits, 47 pushes, 2 branches in 7 months
artificial-intelligencequestion-answeringrdfsemantic-websparql
saist1993/fairgrad
Aug 2022 - Sep 2022
FairGrad, is an easy to use general purpose approach to enforce fairness for gradient descent based methods.
Contributions:2 releases, 54 commits, 1 PR in 27 days
approachdescentpurposeenforcegradient
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