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His research is at the confluence of diverse areas such as algorithms and data structures (with a focus on scalable graph algorithms), algorithm engineering, semantic analysis, combinatorial optimization and machine learning.
Prior to this appointment, he worked as a research scientist at Nokia Bell Labs. As part of his work at Nokia Bell Labs, he co-lead the design and development of a cognitive computing tool for interpreting, organizing and navigating unstructured content. He addressed critical problems in the area, including (i) disambiguation of natural language text, (ii) automated topic labelling of a document, (iii) automatically extending knowledge hierarchies, (iv) automatically cleaning knowledge hierarchies and (v) comparing knowledge hierarchies.
Prior to this appointment, he worked as a research scientist at Nokia Bell Labs. As part of his work at Nokia Bell Labs, he co-lead the design and development of a cognitive computing tool for interpreting, organizing and navigating unstructured content. He addressed critical problems in the area, including (i) disambiguation of natural language text, (ii) automated topic labelling of a document, (iii) automatically extending knowledge hierarchies, (iv) automatically cleaning knowledge hierarchies and (v) comparing knowledge hierarchies.
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Learning and Intelligent Optimization: 17th International Conference, LION 17, Nice, France, June 4–8, 2023, Revised Selected Paperspp.378-392, (2023)
George Karypis,Christian Schulz ,Darren Strash,Deepak Ajwani,Rob H. Bisseling,Katrin Casel,Ümit V. Çatalyürek,Cédric Chevalier, Florian Chudigiewitsch,Marcelo Fonseca Faraj, Michael R. Fellows,Lars Gottesbüren,
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2022 Proceedings of the Symposium on Algorithm Engineering and Experiments (ALENEX)pp.184-194, (2022)
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