FLIP-FLexible IoT Path Programming Framework for Large-scale IoT. - Shahzad; Eun-Sung Jung (CCGRID, 2020)

Flexible IoT Datapath Programming using P4. - Shahzad; Eun-Sung Jung (CoRR, 2020)

IoTactileSim: A Virtual Testbed for Tactile Industrial Internet of Things Services. - Muhammad Zubair Islam; Shahzad; Rashid Ali 001; Amir Haider; Hyung Seok Kim (Sensors, 2021)

Reinforcement Learning-Aided Edge Intelligence Framework for Delay-Sensitive Industrial Applications. - Muhammad Zubair Islam; Shahzad; Rashid Ali 001; Amir Haider; Hyung Seok Kim (Sensors, 2022)

Learning-Based Adaptive Sliding-Window RLNC for High Bandwidth-Delay Product Networks. - Shahzad; Rashid Ali 001; Amir Haider; Hyung Seok Kim (IEEE Access, 2023)

RS-RLNC: A Reinforcement Learning-Based Selective Random Linear Network Coding Framework for Tactile Internet. - Shahzad; Rashid Ali 001; Amir Haider; Hyung Seok Kim (IEEE Access, 2023)

RLECN - A learning based dynamic threshold control of ECN. - Shahzad; Eun-Sung Jung; Hyung Seok Kim (ICT Express, 2023)