Min Song

School: Schaefer School of Engineering & Science
Department: Electrical and Computer Engineering
Building: Burchard 212
Fax: 201.216.8246
Email: Min.Song@Stevens.edu
General Information

Min Song received his Ph.D. in 2001 from the University of Toledo in Computer Science and Engineering. His current research interests are in the areas of cognitive radio networks and spectrum management, Internet of Things and cyber-physical systems, mobile computing and cybersecurity, wireless communication networks, and engineering education. Over the course of his career, Min has published more than 180 technical papers.

Before joining Stevens, Min was the David House Professor, Chair of the Computer Science Department and Professor of Electrical and Computer Engineering at Michigan Tech from 2014 to 2018. He was also the Founding Director of the Michigan Tech Institute of Computing and Cybersystems. Prior to joining Michigan Tech, Min served as Program Director with the National Science Foundation (NSF) from 2010 to 2014. Min's professional career comprises nearly 30 years in academia, government, and industry. Over the course of his career, Min has held various leadership positions.

Honors & Awards

  • IEEE Fellow (2018)
  • NSF Director's Award (2012)
  • NSF CAREER Award (2007)
  • Best Paper Award, IEEE GLOBECOM (2013)
  • Best Paper Award, IEEE NAS (2010)
Professional Service

Selected Recent Publications

  • A. Adebayo, D. Rawat, and M. Song, “Prediction Based Adaptive RF Spectrum Reservation in Wireless Virtualization,” Proc. of IEEE ICC, June 2020.
  • A. Jalooli, K. Zhang, M. Song, and W. Wang, “A Novel Clustering Scheme for Heterogeneous Vehicular Networks,” Proc. of IEEE ICC, June 2020.
  • N. Sapavath, D. Rawat, and M. Song, “Machine Learning for RF Slicing using CSI Prediction in Software Defined Large-scale MIMO Wireless Networks,” IEEE Trans. on Network Science and Engineering, May 2020.
  • C. Xin, and M. Song, “Analysis of the On-Demand Spectrum Access Architecture for CBRS Cognitive Radio Networks,” IEEE Trans. on Wireless Communications, Feb. 2020.
  • P. Paul, H. Wu, C. Xin, and M. Song, “Beamforming Oriented Topology Control for mmWave Networks,” IEEE Trans. on Mobile Computing, April 2019.
  • J. Wang, S. Pambudi, W. Wang, and M. Song, “Resilience of IoT Systems Against Edge-induced Cascade-of-Failures: A Networking Perspective,” IEEE Internet of Things Journal, April 2019.
  • A. Jalooli, M. Song, and W. Wang, “Message Coverage Maximization in Infrastructure-Based Urban Vehicular Networks,” Elsevier Vehicular Communications, April 2019.
  • C. Xin, P. Paul, M. Song, and Q. Gu, “On Dynamic Spectrum Allocation in Geo-location Spectrum Sharing Systems,” IEEE Trans. on Mobile Computing, April 2019.
  • D. Rawat, A. Alshaikhi, A. Alshammari, C. Bajracharya, and M. Song, "Payoff Optimization through Wireless Network Virtualization for IoT Applications: A Three Layer Game Approach," IEEE Internet of Things Journal, October 2018.
  • D. Rawat, R. Alsabet, C. Bajracharya, and M. Song, “On the Performance of Cognitive Internet-of-Vehicles with Unlicensed User Mobility and Licensed User Activity,” Elsevier Computer Networks, April 2018.
  • Y. Luo, L. Pu, Y. Zhao, G. Wang, and M. Song, “Optimal Energy Requesting Strategy for RF-based Energy Harvesting Wireless Communications,” Proc. of IEEE INFOCOM, May 2017.
  • X. Xu, and M. Song, “Approximation Algorithms for Wireless Opportunistic Spectrum Scheduling in Cognitive Radio Networks,” Proc. of IEEE INFOCOM, April 2016.
  • C. Xin, and M. Song, “An Application-Oriented Spectrum Sharing Architecture,” IEEE Trans. on Wireless Communications, May 2015.


  • CPE 679 Computer and Information Networks
  • EE/CPE/AAI 800 Special research problems in ECE and AI
  • EE 820 Research Seminar

Current NSF Project