A Neural Approach to Forming Coherent Teams in Collaboration Networks

Radin Hamidi Rad, Shirin Seyedsalehi, Mehdi Kargar, Morteza Zihayat, Ebrahim Bagheri
January 2022

Abstract

This paper presents a neural approach for forming coherent teams in collaboration networks, improving team composition and effectiveness.

Type
Conference paper
Publication
International Conference on Extending Database Technology (EDBT)

This work applies neural network approaches to improve team formation in collaboration networks.

Neural Networks Team Formation Collaboration Networks Team Coherence Deep Learning
Shirin Seyedsalehi
PhD Student (Alumni)

Shirin Seyedsalehi is a former PhD student and alumna of the Human-Centered Machine Intelligence Lab.

Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is a Canada Research Chair (CRC) in Human-Centered AI and Associate Professor at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. He also holds appointments as Adjunct Associate Professor at the University of Waterloo (Management Sciences) and IBM Faculty Fellow at IBM Centre for Advanced Studies. He is the Director of the Human-Centered Machine Intelligence Lab.