Igor Averbakh is affiliated with the University of Toronto in Canada and conducts research primarily in the fields of Engineering and Computer Science. Their work spans multiple subfields including Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Organizational Behavior and Human Resource Management, Transportation, and Signal Processing.
The main topics of Igor Averbakh's research encompass:
Igor Averbakh has contributed to several scholarly publications with a focus on network construction and optimization problems. Selected recent papers include:
Frequently, Igor Averbakh collaborates with other researchers including Jordi Pereira, Oded Berman, Jörg Kalcsics, Dmitry Krass, and Tianyu Wang. This network of coauthors reflects interdisciplinary interaction within computational optimization and operations research domains.
Their work has appeared in a range of publication venues where multiple contributions have been made, notably:
Igor Averbakh's research combines algorithmic approaches with practical applications relevant to transportation systems, facility location planning, and network construction problems. Their scholarly output contributes to developing optimization techniques used in engineering and computer science contexts, integrating theoretical frameworks with applied problem solving.
Igor Averbakh
Igor Averbakh
Igor Averbakh;Vasilij Lebedev
I. Averbakh;Oded Berman
Igor Averbakh;Oded Berman
Igor Averbakh;Oded Berman
Vasilij Lebedev;Igor Averbakh
Igor Averbakh;Zhihui Xue
Igor Averbakh;Oded Berman
Igor Averbakh;Vasilij Lebedev
Igor Averbakh
Igor Averbakh
Igor Averbakh;Oded Berman;Ilya Chernykh
Igor Averbakh;Oded Berman
Igor Averbakh;Oded Berman;Ilya Chernykh
Igor Averbakh;Oded Berman
Jordi Pereira;Igor Averbakh
Igor Averbakh;Oded Berman
Igor Averbakh;Oded Berman
Igor Averbakh;Sergei Bereg
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