Nima Dehmamy
Scholar

Nima Dehmamy

Google Scholar ID: gvHpUtgAAAAJ
IBM Research
Graph Neural NetworksMachine Learning TheoryPhysicsNetwork ScienceDynamical Systems
Citations & Impact
All-time
Citations
885
 
H-index
13
 
i10-index
13
 
Publications
20
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • For recent papers, see his Google Scholar page.
Research Experience
  • Currently a Research Staff Member at IBM Research, located in the MIT-IBM lab in Cambridge, MA, USA.
Education
  • Obtained a PhD in Physics from Boston University in 2016, under the supervision of Prof. Eugene Stanley. Worked on a range of topics in physics, from black hole physics to 3D embedded physical networks (e.g., neurons in the brain).
Background
  • Research interests include machine learning for science and the theory of machine learning, with a focus on Graph Neural Networks (GNN), group equivariant neural networks, and symmetries and conservation laws in gradient-based learning.