Ioannis Koutis

Ioannis Koutis serves as Associate Professor in the Computer Science Department at New Jersey Institute of Technology and holds an Adjunct Faculty position in the Computer Science Department at Carnegie Mellon University.

His research expertise spans algorithm design with specialization in numerical linear algebra, combinatorial optimization, and spectral methods. He leads development of significant computational tools including CMG (Combinatorial Multigrid), SpA (Spectral Algorithms), and SpClu (Spectral Constrained Clustering), which address complex problems in large-scale system solving.

Analysis of his publication record reveals focus on efficient solvers for symmetric diagonally dominant systems, with applications spanning computer vision and image processing. His work demonstrates strong integration of theoretical foundations with practical implementations.

• NSF grant #1018463 as co-PI
• NSF grant CCF-#1149048 supporting CMG development

Dr. Koutis maintains active research collaborations and has established software projects that have gained recognition in the computational research community, with his GitHub repositories showing significant engagement from other researchers.