Muhammad Shahzad
Muhammad Shahzad is a computer scientist at NC State University who applies sensing and machine learning to wireless networks and devices, from WiFi gesture recognition to learned congestion control. After a Ph.D. in computer science at Michigan State University in 2015, he joined NC State's computer science department as an assistant professor. An NSF award in 2016 funded his work on recognizing gestures from ambient light, and in 2018 and 2019 he coauthored papers on multi-user activity and gesture recognition over WiFi. His department gave him a Carla Savage Award in 2023, and in 2025 and 2026 he posted a deep reinforcement learning framework for TCP congestion control and CO-EVOLVE, a method that pairs large language models with graph neural networks. He is an associate professor of computer science at NC State, where he leads the Wolfpack Interactive, Sensing, and Networking Lab.
- Now at
- Department of Computer Science, North Carolina State University
- Works
- 113
- Citations
- 5,569
- h-index
- 31
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
-
2008–2015
Ph.D. at Michigan State
He earns a B.E. in electrical engineering from the National University of Sciences and Technology (NUST) in 2008. At Michigan State University he completes a Ph.D. in computer science in 2015 under Alex Liu, with a dissertation on statistical and learning algorithms for the design, analysis, measurement, and modeling of networking and security systems.
-
2015
Joining NC State
He joins NC State's computer science department as an assistant professor for the fall 2015 semester, with computer networking as his specialty and an interest in new sensing modalities for human activity and gesture recognition. In 2015, he also coauthors two MobiCom papers with Alex X. Liu and Wei Wang: 'Understanding and Modeling of WiFi Signal Based Human Activity Recognition' and 'Keystroke Recognition Using WiFi Signals'.
-
2016–2020
Gestures from ambient light
A $174,878 National Science Foundation award, beginning in May 2016, funds his project on recognizing human gestures from ambient light, which learns the pattern of light-intensity change for each gesture and then recognizes gestures in real time. The work appears as 'Gesture Recognition Using Ambient Light' in ACM IMWUT in 2018, and 'Recognizing Human Gestures Using Ambient Light' wins the best paper award at PICom in 2020.
-
2018–2019
Multi-user recognition over WiFi
In 2018, he coauthors 'Multi-User Activity Recognition Using WiFi' at MobiSys with Raghav H. Venkatnarayan and Griffin Page. The IEEE Transactions on Mobile Computing publishes 'WiFi based Multi-User Gesture Recognition' by Venkatnarayan, Shakir Mahmood and Shahzad in 2019.
-
2020
Mapping buildings from outside
In April 2020, he and research assistant Usman Khan develop a system that maps a building's interior from outside, using radio-frequency equipment and machine learning approaches that turn sparse signal reflections into a complete map. The work is supported in part by the US Army Research Office and appears at IPSN in 2020 as 'RFMap: Generating Indoor Maps using RF Signals'.
-
2023
A Carla Savage Award
In February 2023, NC State's computer science department names him one of the Spring 2023 winners of the Carla Savage Awards, which recognize outstanding achievement within the department. His nominators describe him as a caring educator and an excellent mentor.
-
2025–2026
Reinforcement learning and CO-EVOLVE
In May 2025, he and Jinming Xing post to arXiv a deep reinforcement learning framework, ASC, that lets any application set the objectives its TCP traffic should achieve, such as latency, packet loss or jitter. In March 2026, the pair post CO-EVOLVE, a framework in which a graph neural network and a large language model feed each other structural and semantic signals on heterophilous graphs.
-
As of October 2026
Associate professor at NC State
He is an associate professor in NC State's Department of Computer Science and leads the Wolfpack Interactive, Sensing, and Networking Lab, with research on sensing, networking and security and the application of AI to these domains. In May 2026, RFC 9944, which he coauthors with Hassan Iqbal and Eliot Lear, is published as an IETF Proposed Standard that defines schema extensions to SCIM for provisioning devices.
Career
- Since 2015North Carolina State UniversityAssistant Professor
- NowDepartment of Computer Science, North Carolina State UniversityLab Lead
- 2008–2011National University of Computer and Emerging Sciences
Education
- 2015Michigan State UniversityPh.D. in computer science
- 2008National University of Sciences and TechnologyB.E. in electrical engineering
Most-cited works
Sources and credits
Photo: We have no published photo of Muhammad Shahzad yet. Send us a free-licensed photo.
- Muhammad Shahzad | Computer Science
- Muhammad Shahzad - The Mathematics Genealogy Project
- CSC Department Welcomes New Faculty (NC State Department of Computer Science, July 2015)
- Publications | Muhammad Shahzad
- NSF Supports Shahzad's Research on Gesture Recognition (NC State Department of Computer Science, June 2016)
- Developing a System to Assist the First Responders and Law Enforcement Agencies (NC State Department of Computer Science, April 2020)
- Spring 2023 Carla Savage Award Winners Announced | Computer Science
- [2505.07042] A Reinforcement Learning Framework for Application-Specific TCP Congestion-Control
- [2603.19596] CO-EVOLVE: Bidirectional Co-Evolution of Graph Structure and Semantics for Heterophilous Learning
- Muhammad Shahzad
- RFC 9944: Device Schema Extensions to the System for Cross-Domain Identity Management (SCIM) Model | RFC Editor





