Majid Forghani-Elahabad | Network optimization and Reliability | Editorial Board Member

Prof. Dr. Majid Forghani-Elahabad | Network optimization and Reliability | Editorial Board Member

Prof. Dr. Majid Forghani-Elahabad | Federal University of ABC | Brazil

Prof. Dr. Majid Forghani-Elahabad is an active researcher affiliated with the Universidade Federal do ABC, Brazil, with a strong contribution record in computational modeling, network reliability, optical communication systems, and algorithmic optimization. With 602 Scopus citations across 294 documents, 34 publications, and an h-index of 16, his work spans multistate flow network reliability, all-optical DWDM network strategies, and innovative algorithm design for big data applications. His recent research includes cost-constrained reliability assessment models for complex flow networks, optimization of path-selection techniques in high-capacity optical networks, and logarithmic prime number–based algorithms for efficient sorting and duplicate elimination. His multidisciplinary contributions reflect a strong analytical foundation, advancing both theoretical and applied aspects of network modeling, data processing, and intelligent computational solutions.

Profiles: Scopus | Google Scholar

Featured Publications :

Forghani-elahabad, M., Mahdavi-Amiri, N. (2014). A new efficient approach to search for all multi-state minimal cuts. IEEE Transactions on Reliability, 63 (1), 154-166.

Forghani-elahabad, M., Bonani, L. H. (2017). Finding all the lower boundary points in a multistate two-terminal network. IEEE Transactions on Reliability, 66 (3), 677-688.

Forghani-elahabad, M., Kagan, N. (2019). Reliability evaluation of a stochastic-flow network in terms of minimal paths with budget constraint. IISE Transactions, 51 (5), 547-558.

Forghani-elahabad, M., Kagan, N., Mahdavi-Amiri, N. (2019). An MP-based approximation algorithm on reliability evaluation of multistate flow networks. Reliability Engineering & System Safety, 191, 106566.

Forghani-elahabad, M., Mahdavi-Amiri, N. (40). An improved algorithm for finding all upper boundary points in a stochastic-flow network. Applied Mathematical Modelling, 40 (4), 3221-3229.