Maxwell McManus
Ph.D. Student
Advisor: Dr. Zhangyu Guan
Research Assistant
Address: 205 Davis Hall, University at Buffalo, Buffalo, NY 14260 - 1920
Phone: (716) 645-3115
Email: memcmanu@buffalo.edu
Wireless Intelligent Networking and Security Lab
Department of Electrical Engineering
University at Buffalo, The State University of New York
Biography | Research | Publications | Curriculum Vitae | Links
Biography
I am a Ph.D. Candidate at SUNY at Buffalo. I attended City Honors High School and graduated with an Advanced Regents Diploma with Honors, an Advanced Placement (AP) Scholar Award, and an International Baccalaureate (IB) Diploma. I moved on to attend SUNY at Buffalo (UB) Honors College with a Presidential Scholarship. While attending UB, I studied abroad at the Polytechnic University of Valencia, focusing on work in telecommunications. I graduated with the B.S. in Electrical Engineering, Summa Cum Laude, from UB in 2019, and received the M.S. in Electrical Engineering in 2021. I was awarded the 2022 Department of Defense (DoD) National Defense Science and Engineering Graduate (NDSEG) Fellowship. My current research interests are in wireless network security, digital twin, and spectrum sharing technologies.
Current Research Areas
New Spectrum Technologies: Spectrum Coexistence, RF Environment Sensing
Wireless Network Security: Protocol Jamming/Anti-jamming, Adversarial Machine Learning for Wireless
Digital Twin: Virtual Domain Construction, Simulation Design, Domain Adaptation
Publications
M. McManus, T. Rinchen, S. Suhail, S. Santhinivas, A. Dey, S. Pagidimarri, Y. Cui, J. Hu, J. Zhang, X. Wang, M. Ji, N. Mastronarde, and Z. Guan, "Demo Abstract: UnionLabs: AWS-based Remote Access and Sharing of NextG and IoT Testbeds," in Proc. of IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada, May 2024.
M. McManus, Y. Cui, Z. Zhang, J. Hu, S. Moorthy, N. Mastronarde, E. S. Bentley, M. Medley, Z. Guan, "Digital Twin-Enabled Domain Adaptation for Zero-Touch UAV Networks: Survey and Challenges," Elsevier Journal of Computer Networks, Vol. 236, November 2023.
I. Dhopeshwar, M. McManus, D. Harrison, B. Ralston, C. Janson, A. Rae, A. Levesque, Z. Guan, "Antenna Design and Measurements for Conductive Thermal Transfer Printing Based RFID Production," in Proc. of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Toronto, Ontario, Canada, September 2023.
J. Hu, Z. Zhao, M. McManus, S. Moorthy, Y. Cui, N. Mastronarde, E. S. Bentley, M. Medley, Z. Guan, "NeXT: Architecture, Prototyping and Measurement of a Software-Defined Testing Framework for Integrated RF Network Simulation, Experimentation and Optimization," Elsevier Journal of Computer Communications, Vol. 210, p. 342-355, October 2023.
J. Hu, M. McManus, S. Moorthy, Y. Cui, Z. Guan, N. Mastronarde, E. S. Bentley, M. Medley, "NeXT: A Software-Defined Testbed with Integrated Optimization, Simulation, and Experimentation," in Proc. of IEEE Future Networks World Forum (FNWF): WS5: Federated Testbed as a Service for Future Networks: Challenges & State of the Art, Montreal, Canada, October 2022.
M. McManus, Z. Guan, N. Mastronarde, S. Zou, "On the Source-to-Target Gap of Robust Double Deep Q-Learning in Digital Twin-Enabled Wireless Networks," in Proc. of SPIE Big Data IV: Learning, Analytics, and Applications, Orlando, Florida, USA, April 2022.
S. Moorthy, A. Harindranath, M. McManus, Z. Guan, N. Mastronarde, E. S. Bentley, M. Medley, "A Middleware for Digital Twin-Enabled Flying Network Simulations using UBSim and UB-ANC" in Proc. of IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), Los Angeles, California, USA, May 2022.
S. Moorthy, M. McManus, Z. Guan, "ESN Reinforcement Learning for Spectrum and Flight Control in THz-Enabled Drone Networks," IEEE/ACM Transactions on Networking, accepted for publication, October 2021.
M. McManus, Z. Guan, E. S. Bentley, S. Pudlewski, "Experimental Analysis of Cross-Layer Sensing for Protocol-Agnostic Packet Boundary Recognition," in Proc. of IEEE INFOCOM Workshop on Wireless Sensor, Robot and UAV Networks (WiSARN), Virtual Conference, May 2021.