Khalid Khan

About

Khalid Khan was awarded a fully funded scholarship for his BS and MS degree in Electrical Engineering from FAST University (Pakistan) in 2014 and from Beijing University of Posts and Telecommunication (BUPT), Beijing (China) in 2019 respectively. He earned a fully funded Ph.D. position and is currently involved in the Joint Doctoral Programmed in Interactive and Cognitive Environments (JD-ICE) organized by the University of Genoa & Queen Mary University of London. His current research interests include Cognitive Radios (CR), Self-Awareness (SA), Cellular Systems, Dynamic Bayesian Networks (DBN), Unmanned Aerial Vehicles (UAVs), Wireless Communications, Active Inference (AIn), Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Employment

• South China University of Technology Postdoctoral Fellow
  2026 - 2029
• Capital Degree College (CDC) Lecturer & Lab Engineer
  2019 - 2021
• Ibrar College of Technology Lecturer
  2016 - 2017
• NETKOM Technology Transmission Engineer
  2014 - 2016
• ZTE Technology Transmission Engineer
  2012 - 2014

Education

• Beijing University of Posts and Telecommunications MS (Degree By Research)
  2017 - 2019
• National University of Computer and Emerging Sciences BS (Degree By Research)
  2010 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• Explainable Reinforcement Learning for Trajectory Design in UAV-assisted Wireless Networks
  ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025 DOI: 10.1109/icassp49660.2025.10890737
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• Self-Supervised Path Planning in UAV-Aided Wireless Networks Based on Active Inference
  ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024 DOI: 10.1109/icassp48485.2024.10446575
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• Few-Shot Bioacoustics Event Detection using Transudative Inference with Data Augmentation
  IEEE Sensors Letters 2024 DOI: 10.1109/lsens.2024.3363021
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• A Goal-Directed Trajectory Planning Using Active Inference in UAV-Assisted Wireless Networks
  Sensors 2023 DOI: 10.3390/s23156873
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• Energy efficiency augmentation in UWA‐OFDM transducer by peak to average power ratio alleviation through hybrid companding approach
  Transactions on Emerging Telecommunications Technologies 2023
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• Smart Pilot Decontamination Strategy for High and Low Contaminated Users in Massive MIMO-5G Network
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-19-9331-2_37
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• Pilot contamination mitigation under smart pilot allocation strategies within massive MIMO-5G system
  Physical Communication 2021 DOI: 10.1016/j.phycom.2021.101344
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• Peak to Average Power Ratio (PAPR) Mitigation for Underwater Acoustic OFDM System by Using an Efficient Hybridization Technique
  2020 IEEE 6th International Conference on Computer and Communications (ICCC) 2020 DOI: 10.1109/iccc51575.2020.9345245
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• An Efficient Pilot Allocation Scheme for Pilot Contamination Alleviation in Multi-cell Massive MIMO Systems
  Lecture Notes in Electrical Engineering 2020 DOI: 10.1007/978-981-15-4163-6_4
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