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Shahzad

Shahzad

Assistant Professor
  • Department Of Computer Engineering
  • dr.shahzad@nu.edu.pk
  • (041) 111-128-128
  • Ext: 130

Introduction

Dr. Shahzad received his Ph.D. degree from the Department of Intelligent Mechatronics Engineering, Sejong University, Seoul, South Korea in 2024 and his MS degree in Computer Engineering from Hongik University, Sejong, South Korea, in 2020. He served as a Research Assistant with the High Performance Computing (HPC) lab, Hongik University and with the Mobile INtelligent Embedded System (MINES) Laboratory, Sejong University from 2018 to 2024. His research interests include network coding, software-defined networks, congestion control algorithms, machine learning applications in networking, and P4 programming.

Education

PhD (Intelligent Mechatronics Engineering), Sejong University, South Korea, 2024
MS (Computer Engineering), Hongik University, South Korea, 2020
BS (Electrical (Computer) Engineering), CUI Islamabad, Pakistan, 2015

Publications

  • 1. Shahzad, Rashid Ali, Amir Haider, and Hyung Seok Kim, “RS-RLNC: A Reinforcement Learning Based Selective Random Linear Network Coding Framework for Tactile Internet,” IEEE Access, 2023. doi: 10.1109/ACCESS.2023.3340210.

  • 2. Shahzad, Eun-Sung Jung, and Hyung Seok Kim, “RLECN: A Reinforcement Learning Based Dynamic ECN Threshold Setting Mechanism,” ICT Express, Elsevier, 2023. doi: 10.1016/j.icte.2023.10.005.

  • 3. Shahzad, Rashid Ali, Amir Haider, and Hyung Seok Kim, “Learning-Based Adaptive Sliding-Window RLNC for High Bandwidth-Delay Product Networks,” IEEE Access, 2023. doi: 10.1109/ACCESS.2023.3298102.

  • 4. M. Zubair Islam, Shahzad, R. Ali, A. Haider, and H. Kim, “IoTactileSim: A Virtual Testbed for Tactile Industrial Internet of Things Services,” Sensors, vol. 21, no. 24, p. 8363, Dec. 2021. doi: 10.3390/s21248363.

  • 5. M. Zubair Islam, Shahzad, R. Ali, A. Haider, and H. S. Kim, “Reinforcement Learning-Aided Edge Intelligence Framework for Delay-Sensitive Industrial Applications,” Sensors, vol. 22, no. 20, p. 8001, Oct. 2022. doi: 10.3390/s22208001.

  • 6. Kyung-Kyu Ko, Shahzad, and Eun-Sung Jung, “Big Data Merging and Deep Learning Model Optimization for Improving Weather Information Forecasting Performance,” Journal of the Institute of Electronics and Information Engineers, vol. 58, no. 5, pp. 39–46, 2021. doi: 10.5573/ieie.2021.58.5.39.

  • 7. Shahzad and Eun-Sung Jung, “FLIP: Flexible IoT Path Programming for Large-scale IoT,” in Proc. 20th IEEE/ACM Int. Symp. Cluster, Cloud, and Grid Computing (CCGrid), May 2020.

  • 8. Shahzad, Eun-Sung Jung, J. Chung, and R. Kettimuthu, “Enhanced Explicit Congestion Notification (EECN) in TCP with P4 Programming,” in Proc. Int. Conf. Green and Human Technology (ICGHT), Feb. 2020.

  • 9. Shahzad and Eun-Sung Jung, “Flexible IoT Datapath Programming using P4,” in Proc. Int. Conf. Green and Human Technology (ICGHT), Jan. 2019.

Collaborations at National and International Level

  1. Department of Intelligent Mechatronics Engineering, Sejong University, South Korea

  2. Department of Computer Engineering, Hongik University, South Korea

Detail of Funded Projects

  1. Ultra-Low Latency and High Reliability Haptic Data Communication Technology and Tactile Sensor/Actuator Technology for Tactile Internet
    Funded by: National Research Foundation of Korea (NRF)
    Grant Number: NRF-2022R1F1A1063662

  2. Large-Scale IoT Streaming Data Processing Using Software Switches and Controllers
    Funded by: National Research Foundation of Korea (NRF)
    Grant Number: NRF-2017R1D1A1B03033632