Manas Mejari
Scholar

Manas Mejari

Google Scholar ID: Ur-0uakAAAAJ
IDSIA Dalle Molle Institute for Artificial Intelligence, Switzerland
system identificationdata-driven controlinvariant setslpv systemsmachine learning
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Citations & Impact
All-time
Citations
277
 
H-index
9
 
i10-index
8
 
Publications
20
 
Co-authors
0
 
Contact
Emailmanas.mejari@supsi.chCVOpen ↗GitHubOpen ↗LinkedInOpen ↗
Resume
Academic Achievements
  • - Journal Articles:
  • - Parameter dependent robust control invariant sets for LPV systems with bounded parameter variation rate, IEEE Transactions on Automatic Control, 2024
  • - Shedding light on the ageing of extra virgin olive oil: Probing the impact of temperature with fluorescence spectroscopy and machine learning techniques, LWT Food Science and Technology, 2024
  • - Data-Driven Synthesis of Configuration-Constrained Robust Invariant Sets for Linear Parameter-Varying Systems, IEEE Control System Letters and American Control Conference 2024, 2023
  • - Data-Driven Computation of Robust Invariant Sets and Gain-Scheduled Controllers for Linear Parameter-Varying Systems, IEEE Control System Letters, 2023
  • - Computation of Parameter Dependent Robust Invariant Sets for LPV Models with Guaranteed Performance, Automatica, 2023
  • - Projects:
  • - DISCO (Hasler Stiftung project)
  • - INHALE (Hasler Stiftung project)
  • - NeO2-Sens (AI for next generation of optical oxygen sensors)
  • - ASCENDENT
  • - ARES (AI for fluorescence spectroscopy in oil)
  • - SLAM 4.0 (Innosuisse project)
Research Experience
  • - Researcher, Dalle Molle Institute for Artificial Intelligence (IDSIA), Jun 2019 – Present, Switzerland
  • - Postdoctoral Research Fellow, University of Lille, Ecole Centrale Lille, Oct 2018 – May 2019, France
  • - Visiting Researcher, Eindhoven University of Technology (TU/e), Feb 2017 – Jul 2017, The Netherlands
  • - PhD student, IMT School for Advanced Studies Lucca, Jan 2015 – Jul 2018, Italy
  • - Senior Research Fellow, Centre of Excellence in Complex and Non-linear Dynamical Systems, VJTI, Jan 2014 – Nov 2014, Mumbai, India
Education
  • - Ph.D. in Control Systems, 2018, IMT School for Advanced Studies Lucca, Italy
  • - M.Tech. in Control Systems, 2013, University of Mumbai, India
  • - B.E. in Electronics & Telecomm, 2011, University of Mumbai, India
Background
  • Research Interests: Data-driven modeling and control of non-linear and hybrid dynamical systems, application of machine learning and AI algorithms to problems across industries.