Comparison of Global Computing with Grid Computing. - Babak Behsaz; Pooya Jaferian; Mohammad Reza Meybodi (PDCAT, 2006)

NEFRL: A New Neuro-Fuzzy System for Episodic Reinforcement Learning Tasks. - Babak Behsaz; Reza Safabakhsh (FBIT, 2007)

On minimum vertex covers of generalized Petersen graphs. - Babak Behsaz; Pooya Hatami; Ebadollah S. Mahmoodian (Australas. J Comb., 2008)

Transport-independent fairness. - Babak Behsaz; Pawel Gburzynski; Mike H. MacGregor (Comput. Networks, 2009)

Measure preserving homomorphisms and independent sets in tensor graph powers. - Babak Behsaz; Pooya Hatami (Discret. Math., 2009)

On minimum vertex cover of generalized Petersen graphs - Babak Behsaz; Pooya Hatami; Ebadollah S. Mahmoodian (CoRR, 2010)

Near optimal design of multi-level WSNs for environmental monitoring. - Babak Behsaz; Mike H. MacGregor (LCN, 2013)

Approximation Algorithms for Minimum-Load k-Facility Location. - Sara Ahmadian; Babak Behsaz; Zachary Friggstad; Amin Jorati; Mohammad R. Salavatipour; Chaitanya Swamy (APPROX-RANDOM, 2014)

Minimizing transmit power consumption in multi-level WSNs for environmental monitoring. - Babak Behsaz; Mike H. MacGregor (WCNC, 2014)

On Minimum Sum of Radii and Diameters Clustering. - Babak Behsaz; Mohammad R. Salavatipour (Algorithmica, 2015)

New Approximation Algorithms for the Unsplittable Capacitated Facility Location Problem. - Babak Behsaz; Mohammad R. Salavatipour; Zoya Svitkina (Algorithmica, 2016)

Approximation Algorithms for Minimum-Load k-Facility Location. - Sara Ahmadian; Babak Behsaz; Zachary Friggstad; Amin Jorati; Mohammad R. Salavatipour; Chaitanya Swamy (ACM Trans. Algorithms, 2018)

Approximation Algorithms for Min-Sum k-Clustering and Balanced k-Median. - Babak Behsaz; Zachary Friggstad; Mohammad R. Salavatipour; Rohit Sivakumar (Algorithmica, 2019)

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning. - Wei-Hung Weng; Sebastien Baur; Mayank Daswani; Christina Chen; Lauren Harrell; Sujay Kakarmath; Mariam Jabara; Babak Behsaz; Cory Y. McLean; Yossi Matias; Gregory S. Corrado; Shravya Shetty; et al. (CoRR, 2023)