Foto del docente

Kamran Shakir

PhD Student

Department of Biomedical and Neuromotor Sciences

Research fellow

Department of Biomedical and Neuromotor Sciences

Academic discipline: MED/34 Physical and Rehabilitation Medicine

Curriculum vitae

Academic Career
  • Doctor of Philosophy (PhD), Biomedical and Neuromotor Sciences, University of Bologna, Italy (September 2023 - Current)
  • Erasmus Mundus Joint Master’s Degree in Advance Solid Mechanics, University of Lille (France), NTUA (Greece), WUST (Poland), UCLouvain (Belgium), UoCalabria (Italy) (August 2021 - August 2023)
  • Bachelor's of Technology in Mechanical Engineering, Aligarh Muslim University, India (July 2016 - October 2020)
Educational Activity
  • Subject Matter Expert, Chegg Inc. (April 2020 - May 2021)
    • Assisted mechanical engineering students globally with coursework and concepts.
Institutional Activities and Academic Assignments
  • Doctoral Candidate Board President, Marie Curie Innovative Training Network DIALECT.
  • Student President of Erasmus Mundus Master -STRAINS.
  • Team Manager, ZHCET Formula Racing, Aligarh Muslim University (2017-2018).
  • Project Lead, Design and Development of a XYZ Traverse for Air Flow Measurement, Aligarh Muslim University (2019-2020).
Awards and Recognitions
  • Second Rank Holder (Silver Medal), Aligarh Muslim University (October 2020)
  • University Merit Award (2019 & 2020), Aligarh Muslim University
  • Country Topper in CBSE Class 10 Board, with a perfect 10 CGPA (May 2013)
  • School Meritorious Student Award, Cathedral Sr. Sec. School for securing 92.6% (March 2014)
Other Activities
  • Mediculture Initiative (Startup) (September 2022 - Current)
    • Focused on improving relationships between healthcare professionals and patients through cultural integration.
  • Summer Intern, Bhabha Atomic Research Centre (BARC), Mumbai (June-August 2019)
    • Designed technology for measuring sag in pressure tubes of PHWRs.
  • Student Researcher, EPFL, Switzerland (July-September 2022)
    • Worked on bio-inspired soft robotics, optimizing controller settings for maximum thrust.

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