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Bio
Dr. Mayank Shekhar Jha is Associate Professor at École Polytechnique de l'Université de Lorraine (Polytech Nancy) and researcher at CRAN, a joint research unit between the University of Lorraine and the French National Scientific Research Center (CNRS) since 2018. He obtained PhD in 2015 at Ecole Centrale de Lille in France and has previously held post-doctoral research position at the Institut National des Sciences Appliquées de Toulouse (INSA Toulouse) France and Research Associate position at Rolls Royce Technology Centre at University of Sheffield, United Kingdom in 2017.
Dr. Jha has has authored around 30 publications in prestigious international conferences and journals, leads a Work package (WP) in recently accepted project funded by National Agency for Research (ANR) in France titled “Self-Organizing, Smart and Safe heterogeneous Robots Fleet by collective emergence for a mission (SOS)”, has been Co-PI of three and PI of one industrially funded scientific projects with French National Space Agency (CNES) as well as Co-PI of one project with Dassault Aviation in last 5 years. Dr. Jha is an external collaborator and visiting researcher at NASA Ames Research Centre. Dr. Jha serves on editorial board of Scientific Reports, Nature and Associate Editor of Aerospace Science and Technology, Elsevier.
Dr. Jha’s current research interests include Safe Reinforcement Learning, Deep Learning based prognostics and Adiabatic Quantum Computing.
Administrative Activities:
- Head of 4th Year Internships at Polytech Nancy for Degree M3
(Responsable de stages 4ème année, M3).
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