Masoud Zarifneshat

About

Masoud has a PhD in computer science. The primary research interest of him is wireless networks and millimeter wave technology. Masoud's primary teaching expertise and interest is in computer architecture and computer hardware in general. 

Education & Training
  • PhD, Computer Science, Michigan State University, 2022

Research

Masoud's research interest is wireless communications and millimeter-wave technology. He has done research published in various journals and conferences. He is mainly interested in algorithmic methods for reliable millimeter-wave links. 

Primary Research Focus
Wireless Communication Networks

Teaching

Masoud has been teaching for two years at RPI. He has been affiliated with computer organization CSCI 2500 and RCOS courses during his time at RPI. The main focus of his teaching efforts is proper communication with the students and considering their needs and concerns. 

Current Courses

Masoud is teaching the new computer architecture CSCI 4963 course and is affiliated with the new course of  CAOS CSCI 2800. He is on the supervisors' team of RCOS as well for Fall 2025

Publications

  • M. Zarifneshat, and L. Xiao. "Beam adaptation using out-of-band signals for robust millimeter-wave communications".Computer Communications 212 (2023): 116-128.
  • M. Zarifneshat, P. Roy and L. Xiao, "Multi-Objective Approach for User Association to Improve Load Balancing and Blockage in Millimeter Wave Cellular Networks," in IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2021.3122972.
  • M. Zarifneshat, L. Xiao, J. Tang, and X. Xhang, "Learning-based blockage prediction for robust links in dynamic millimeter wave networks'', Wireless Netw 27, 4693–4714 (2021). https://doi.org/10.1007/s11276-021-02759-z
  • M. Zarifneshat, P. Khadivi, H. Saidi, “A Semi-Localized Algorithm for Cluster Head Selection for Target Tracking in Grid Wireless Sensor Network,” Ad Hoc & Sensor Wireless Networks, Vol. 25, No. 3.4, pp. 263-287, March 2015
  • M. Zarifneshat, P. Khadivi, “Using Mobile Node Speed Changes for Movement Direction Change Prediction in a Realistic Category of Mobility Models,” Journal of Network and Computer Applications, Vol. 36, No. 3, May 2013, pp. 1078-1090, DOI: 10.1016/j.jnca.2013.01.012

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