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11 Last updated 10 April 2021


Dr Faheem Khan is a Senior Lecturer in Electronic Engineering at School of Computing and Engineering, University of Huddersfield. He also serves as Course Leader of MSc in Electronic and Automotive Engineering. Dr Khan received his PhD degree in Electrical and Electronic Engineering from Queen’s University Belfast in year 2012, a Master’s degree in Communication and Radar Engineering from the Indian Institute of Technology Delhi, India, and Bachelor’s degree in Electronics Engineering from Aligarh Muslim University, India. Dr Khan is a Fellow of Higher Education Academy (FHEA) and a Member of IEEE.

Dr Khan has more than 15 years of teaching and research experience at academic and research institutions in the UK, Sultanate of Oman, UAE and India. Prior to joining as Lecturer at University of Huddersfield in 2016, he worked as Research Associate in Wireless Communications and Signal Processing at the Institute for Digital Communications, University of Edinburgh where he contributed to research and project management in several EU/EPSRC research projects. Dr Khan carried out his PhD research at The Institute of Electronics, Communications and Information Technology, Queen's University, Belfast, UK. His PhD research focused on "Spectrum sharing in cognitive radio wireless networks". During this period, Dr Khan was also actively involved in several EU/UK research projects.

Current Teaching

Module Leader

  • Digital System Integration (NHE2483)
  • Electronics 1 (NFE2159)
  • Electronic Design, Manufacture and Test (NFE2104)

Module Tutor

  • Communication Systems (NME3546)
  • Wireless Communications for LANs, PANs and the IoT (NME3536) 


Dr Khan's research is currently funded by the following research grants:

  • Principal Investigator of Proof of Commercial Concept (PoC) research grant on "Non-orthogonal multiple access techniques in beyond 5G networks".
  • Co-investigator of EU H2020 ETN Research Project "MObility and Training fOR beyond 5G Ecosystems (MOTOR5G)" (3.9M€)
  •  Co-investigator of EU H2020 RISE Research Project "Research Collaboration and Mobility for Beyond 5G Future Wireless Networks (RECOMBINE)" (0.5M€).

 Dr Khan was actively involved in research, project management and writing of new project proposals during his postdoctoral research at University of Edinbugh (2014-2016). The details of research projects are listed below:

  • "Advanced Dynamic spectrum 5G mobile networks Employing Licensed shared access (ADEL)", EU-FP7 (call 11); Partners: University of Edinburgh (UK), Thales Communications & Security SAS (France), EURECOM (France), Trinity College Dublin (Ireland), Intel Mobile Communications (France), Darmstadt University of Technology (Germany), Portugal Telecom Inovacao SA (Portugal), Athens Information of Technology (Greece); ADEL-619647, €3.7 M Euros ($4.65 Million USD)  [€670K ($840K USD) to UoE], Dec. 2013-Nov. 2016, see http://www.fp7-adel.eu/.
  • "High capacity network Architecture with Remote radio heads & Parasitic antenna arrays (HARP)", EU-FP7 (call 8); Partners: University of Edinburgh (UK), Athens Information Technology (Greece), EURECOM (France), Imperial College of Science, Technology and Medicine (UK), Norwegian University of Science and Technology (Norway), Technical University of Denmark (Denmark), MTI Radiocomp (Denmark), Alcatel Lucent (France), Orange Labs - France Telecom R&D (France); €4.65 M Euros ($5.8 Million USD) [€616K ($772K USD) to UoE], Nov. 2012-Oct. 2015, see http://www.fp7-harp.eu/.
  • "A Unified Multiple Access Framework for Next Generation Mobile Networks By Removing Orthogonality (MANGO)," University of Edinburgh in collaboration with the University of Manchester and Heriot-Watt University, EPSRC-EP/P009549/1, (£392K ($588K USD) FEC to UoE), May 2017 - April 2021. (Dr Khan was the main author of this successful EPSRC project proposal.)

Dr Khan also significantly contributed to the research, project management and writing of new project proposals during his PhD research at Queen's University, Belfast, UK (2008-2012). The details of research projects are listed below:

  • "enHanced Interference Alignment Techniques for Unprecedented Spectral Efficiency (HIATUS)", EU-FP7 - FET-open scheme; Partners: University of Edinburgh (UK), Athens Information Technology (Greece), KTH (Sweden), Ericsson Research (Sweden), Supelec (France), University Pompeu Fabra (Spain), Vienna University of Technology (Austria); HIATUS- 265578, €3.6 M Euros ($4.5 Million USD) [€602K ($754K USD) to UoE], March 2011-Feb. 2014, see http://www.fp7-hiatus.eu/. 
  • "Cognitive Radio Oriented Wireless Networks (CROWN)", EU-FP7 - FET-open scheme; Partners: QUB (UK), QinetiQ (UK), Intel Mobile Communications (France), EURECOM (France), Darmstadt University of Technology (Germany) and Athens Information of Technology (Greece); CROWN-233843, €3.4 M Euros ($4.25 Million USD) [€644K ($790K USD) to QUB], May 2009-April 2012, see http://www.fp7-crown.eu/.
  • "Rural and Remote Ubiquitous Broadband Wireless Access", UK India Education and Research Initiative (UKIERI), British Council, £40K ($60K USD), Aug. 2012 - Dec 2015, Collaboration with IIT Kharagpur, India.
  • "Building links with India: "Cognitive wireless systems for universal access", EPSRC - EP/G033528/1, £125K ($187K USD), Nov. 2008-May 2011, see http://www.interact-uki-cwsua.org/.
  • "Signal Processing and Information Theoretic study of Cognitive Radio Networks", UK India Education and Research Initiative (UKIERI), British Council, £50K ($75K USD), Jan. 2009 - March 2012, Collaboration with IIT Delhi, India.​

Research Expertise and Interests

  • Spectrum Sharing/Spectrum Management for Beyond 5G Wireless Networks
  • Licensed Shared Access and Cognitive Radio
  • Non-orthogonal Multiple Access for Beyond 5G Networks
  • Machine Learning and Deep Learning in Wireless Communications
  • Full-duplex Communications
  • MIMO Communications
  • Millimeter Wave Communications
  • Internet of Things (IoT) Networks

Research Degree Supervision

Click Here to see all postgraduate research opportunities with Dr Faheem Khan

Research Expertise and Interests

  • Signal Processing
  • Wireless Communications
  • Cognitive Radio
  • Non-orthogonal multiple access
  • Full-duplex communications


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