MM

Md Muhidul Islam Khan

Available to hire

I am a researcher with a strong passion for advancing 5G technology, particularly in data and network management.

About

I am a researcher with a strong passion for advancing 5G technology, particularly in data and network management. My work focuses on leveraging AI and machine learning to efficiently allocate resources within 5G Multi-access Edge Computing (MEC) systems, with an emphasis on security and reliability.

I hold a PhD in Interactive and Cognitive Environments from Alpen-Adria Universität Klagenfurt and Università degli Studi di Genova. My academic journey and professional experiences have given me a solid foundation in wireless sensor networks, device-to-device communications, embedded systems, and pervasive computing. I’m proficient in Python and committed to using cutting-edge technologies to address the complex challenges of modern wireless communication and networking, with a goal to develop intelligent, adaptive, and secure systems for dynamic environments.

  • 15 years' experience
  • Joined January 2026

Languages

  • BengaliFluent
  • EnglishFluent
  • NorwegianBeginner

Industry experience

  • Telecommunications
  • Software & Internet
  • Education
  • Professional Services

Work experience· 6 roles

Associate Professor · Norwegian Defence University CollegeJan 2025 – Present · 1 yr 11 mos

Teach the Transmission course to cadets; conduct research in 5G telecommunications; design course curriculum; manage laboratory for the Transmission course focusing on Antenna and Radar theories.

Research Associate · University of StavangerJun 2021 – Oct 2024 · 3 yrs 5 mos

Work on 5G Management and Orchestration for Data and Network Integration (5G-MoDaNeI) project funded by the Norwegian Research Council; focus on Resource Allocation in 5G-Multi Access Edge Computing (MEC), including security and dependability; perform data analysis for synthetic data for online learning.

Research Scientist · Tallinn University of TechnologyMay 2017 – May 2021 · 4 yrs 1 mo

Research on Connectivity-Aware Reliable Networking for Dense Indoor Heterogeneous Cognitive Networks funded by Horizon 2020; Energy-Spectral Efficiency Optimization in Device-to-Device (D2D) Communications; Adaptive Resource Allocation in 5G Network; reinforcement learning for task scheduling in 5G networks; data analysis for synthetic data; Tableau visualization.

Postdoctoral Fellow · Hebei University of TechnologyJan 2016 – Apr 2017 · 1 yr 4 mos
PhD Researcher · Alpen-Adria Universität Klagenfurt and University of GenovaJan 2011 – Sep 2014 · 3 yrs 9 mos
Researcher · Corvinus University of BudapestSep 2009 – Jun 2010 · 10 mos

Education

Joint PhD in Interactive and Cognitive Environments · Alpen-Adria Universität Klagenfurt and Università degli Studi di Genova2011 – 2014
Master of Engineering in Computer Science and Engineering · Bangladesh University of Engineering and Technology (BUET)2007 – 2009
Bachelor of Science in Computer Science and Engineering · Khulna University of Engineering and Technology (KUET)2003 – 2007

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