The Wireless Intelligent Networks (WIN) Lab at Santa Clara University explores next-generation wireless systems that adapt, learn, and make intelligent decisions — with a focus on efficient resource allocation, smarter access protocols, and user-centered performance.
We focus on technologies like WiFi 7, 5G/6G, and intelligent multiple access protocols—including NOMA, RSMA, and 6TiSCH — alongside research in QoE/QoS optimization, machine learning techniques in wireless network, network economics, wireless multimedia and cognitive radio.
- 📡 NOMA Networks: Intelligent QoE-aware strategies for non-orthogonal multiple access.
- 🧠 WiFi 7: Multi-Link Operation (MLO) for high-throughput, low-latency wireless systems.
- 🔍 6TiSCH IoT Networks: Game-theoretic scheduling and energy-efficient resource management.
- ⚙️ RSMA Networks: Flexible and fair access via rate-splitting in next-gen communication.
Undergraduate Students:
Derek Chui
B.S. Student
Project: Optimizing NOMA Network.
Graduate Students:
Mrudhula Lokesh
M.S Student
Project: WiFi 7 - MLO.
Samarth Kulkarni
M.S Student
Project: ML Models for WiFi 7.
Brian Trinh
M.S Student
Project: ML Models for WiFi 7.
Ph.D. Students: I’m looking to welcome kind, curious, and self-driven Ph.D. students to join the WIN Lab. If you’re passionate about wireless networks, ML for networks, or network economics, feel free to email me with your CV and research interests.
M.S. Students: If you’re interested in completing a master’s thesis or working on directed research under my supervision, I’d love to hear from you. RA positions are offered based on performance in prior research, typically through a directed research pathway.
Undergraduate Students: Curious minds are always welcome! If you're excited to explore research, build real-world systems, or dive into wireless and IoT innovations, drop by my office or send a quick note. No prior research experience is required—just enthusiasm and a willingness to learn.