Dr Asiya Khan
Profiles

Dr Asiya Khan

Lecturer in Control Systems Engineering

School of Engineering (Faculty of Science and Engineering)

Role

Member of Autonomous Marine Systems (AMS) research group

Cont316 (ML)
Cont317 (ML)
CIVL100

Qualifications

Qualifications
PhD in Quality of Experience (QoE) of video over wireless/UMTs networks prediction and control, University of Plymouth
PGCAP, Plymouth University
PGCert , Learning and Teaching in Higher Education (LTHE) 500, University of Plymouth
MSc in Communications, Control and Digital Signal Processing, University of Strathclyde
BEng (Hons) in Electrical and Electronic Engineering, University of Glasgow

Background:
Associate Lecturer - Various Control Engineering modules
Associate Lecturer - Foundation Numerical Techniques
Associate Lecturer - Introduction to Computer Systems
Research Assistant -  Perceptual Quality of Service, School of Computing and Mathematics, Plymouth University
Demonstrator - School of Computing and Mathematics, Plymouth University
Worked in various management positions for British Telecoms PLC, 

Professional membership

MIET, IEEE - member

FHEA 

Roles on external bodies

Lead Guest Editor for a special issue on 'QoS/QoE in Autonomous Mobile Networks and Computing' in Mobile Information Systems Journal 
TPC member IEEE WiMob 2016

Reviewer for:
IEEE/ACM Transactions on Networking, 2015.
IET Image Processing, 2015.
International Journal of Distributed Sensor Networks, 2015.
IEEE Transactions on Emerging Topics in Computing, 2014.
QoMEX Conference Melbourne Australia, 2012.
WPMC Conference Brest, France, 2011.
QoMEX Conference Mechelin Belgium, 2011.
Special issue on ‘Video communications over wireless networks, IET Journal on Communication.
Special issue on 'Quality of Experience issues in Multimedia Provision' of the Telecommunications Journal.
TPC member IARIA conference , March 7-12, 2010 in Cancun, Mexico, under InfoSys 2010 umbrella.

Teaching interests

Control Engineering

Professional Practice

Research interests

  • Video Quality of Service over wireless networks (WLAN + 3G)
  • Multimedia communication and QoS
  • Multimedia content
  • Full/reduced/no reference methods for objective video quality evaluation
  • Subjective video quality evaluation
  • Mapping of network (e.g. PER, delay, jitter, etc) and application (e.g. frame rate, send bitrate) parameters to perceived QoS
  • Control/Adaptation of video quality
  • Control of autonomous vehicles
  • Control of autonomous networks

Other research

Member of Autonomous Marine Systems (AMS) research group

Grants & contracts

  • SoEng small research grant 2017-18 £2500
  • SoENG travel grant 2017-18 £1000
  • PedRIO T & L grant 2017-18 £6500
  • SoMSE small Research Grant 2016-17 £2500
  • SoMSE Small teaching Grant 2016-17 £3000
  • Santander Seed-corn Research Grant 2016-17 £5000 on Demonstrating V2V Connectivity
  • RAENG Travel Grant ICC 2010 Conference £1,000
  • CEPPL Travel Grant Mobimedia Conference 2009 £600
  • RAENG Travel Grant ICC 2009 Conference £1,000
  • Best paper award ICAS 2009


    • REFEREED JOURNAL

    Asif Ali Laghari, HuiHe, Muhammad Shafiq and Asiya Khan, Application ofQuality of Experience in Networked Services: Review, Trend &Perspectives", accepted forpublication in

    Systemic Practice and Action Research.

    A. A. Laghari, H. He, A. Khan, N. Kumar and R Kharel, Quality of Experience Framework for Cloud Computing (QoC), IEEE Access.

    A.A. Laghari, H. He, A. Khan & S. Karim, Impact of Video File Format on Quality of Experience (QoE) of Multimedia Content, 3D Research Journal (accepted).

    A. Khan, C. Goh, C-L, Lim & S. Sharma, QoS Assessment and Modelling of Connected Vehicle Network within Internet of Vehicles, Int. Journal in Advances in Software, 2018, no.1 & 2. Invited paper.

    A. A. Laghari, H. He, A. Khan, M. Shafiq, Assessment of Quality of Experience (QoE) of Image Compression in Social Cloud Computing, International Journal  of Multiagent and Grid Systems, 1-2018, 1-19.

    A.Khan, P. Schoenborn and S. Sharma, “The use of clickers in Instrumentation andControl Engineering Education: A Case Study”, European Journal of EngineeringEducation, 2017.

    K.Owa, A. Khan, S. Sharma & R. Sutton, “A non-minimum phase robust non-linearneuro-wavelet predictive control strategy for a quadruple tank process”, Int. J. of ProcessSystems Engineering (IJPSE), 2017.

    W. Abed, S. Sharma, R. Sutton and A. Khan, An unmanned marine vehicle thruster fault diagnosis scheme based on OFNDA, Journal of Marine Engineering& Technology, vol. 16, issue 1, 2017

    QoE Prediction Model and its Application in Video Quality Adaptation over UMTS networks
    Asiya Khan, Lingfen Sun and Emmanuel Ifeachor
    IEEE Transactions on Multimedia, vol.14, issue 2 , pp 431-442, April 2012.

    Learning Models for Video Quality Prediction over WLAN and UMTS Networks
    Asiya Khan, Lingfen Sun and Emmanuel Ifeachor
    IET Communications, vol.4, issue 12, pp 1389-1403, August 2010.

    QoE-driven Adaptation Scheme for Video Applications over Wireless Networks
    Asiya Khan, Lingfen Sun, Emmanuel Jammeh and Emmanuel Ifeachor
    IET Communications Special Issue on "Video communications over wireless networks", Vol. 4, No.2, July 2010.

    Video Quality Prediction Models based on Video Content Dynamics for H.264 Video over UMTS Networks
    Asiya Khan, Lingfen Sun, Jose-Oscar Fajardo, Fidel Liberal, Harilaos Koumaras and Emmanuel Ifeachor
    International Journal of Digital Multimedia Broadcasting special issue "IP and Broadcasting Systems Convergence (IPBSC)", Vol. 2010, Article ID 608138, http://www.hindawi.com/journals/ijdmb/2010/si.ipbsc.html

    Video Quality Assessment as Impacted by Video Content over Wireless Networks
    Asiya Khan, Lingfen Sun and Emmanuel Ifeachor 
    Journal on Advances in Networks and Services, Vol.2, No.2&3, Nov. 2009 - Invited Paper.

    Quality of Experience (QoE) Driven Adaptation Scheme for Voice/Video over IP
    Emmanuel Jammeh, Is-Haka Mkwawa, Asiya Khan, Mohammad Goudarzi, Lingfen Sun and Emmanuel Ifeachor 
    Telecommunications Journal, Springer Editions, Special Issue on the "Quality of Experience issues in Multimedia Provision", 2010.

    Content-based Video Quality Prediction for MPEG4 Video Streaming over Wireless Networks
    Asiya Khan, Lingfen Sun and Emmanuel Ifeachor 
    Journal of Multimedia, Issue 4, Vol.4, August 2009 (ISSN : 1796-2048) pg 228-239.  

    REFEREED CONFERENCES

           Asiya Khan, Richard Pemberton, PriskaSchoenborn, Andrew Edward-Jones and Suki Honey, Delivering Impact via Student Research:Sharing Best Practice, 7th Annual PedRIO Conference, University of Plymouth, 20th April 2018.    

    A. A. Laghari, H. He, M. Shafiq & A. Khan,Impact of Storage of Mobile on Quality of Experience (QoE) at User LevelAccessing Cloud, Accepted in publication for ICCSN May 6-8 2017, GuangdongUniversity of Technology, Guangzhou, China.

    2.    T. Szyrowski, P.Bogdan, A. Khan, R. Pemberton, S. Sharma, Y. Singh &  R. Polvara, “Range extension forelectromagnetic detection of power and telecommunication cables”,  Marelec 2017 23-27 June.

    A. Khan, R. Pemberton and P.Schoenborn, "Exploring innovative methods of teaching and learning inengineering education", 15th VCs Conference, 28-30th June 2017.

    A.Khan, R. Pemberton, D. Bristow, A. Memon, T. Syrowski and S. Sharma,“Underwater wireless sensor monitoring”, 4th PRIMaRE Conference 6-7July 2017, Southampton, UK.

    5.   A.Khan, S. Sharma, C. Goh & C.Lim, “QoS Assessment in ConnectedVehicles”, The 6th Int. Conf. on Advances in Vehicular Systems,Technologies and Applications, Vehicular 2017, 23-27 July, Nice, France, 2017.

    A.Khan, S. Sharma, C. Goh & C.Lim, “AReview of Network Models for Internetof Vehicles”, The 6th Int. Conf. on Advances in Vehicular Systems,Technologies and Applications, Vehicular 2017, 23-27 July, Nice, France, 2017. 

    Understanding Spatial Related Network Challenges from Physical and Network Layers, 

    C. Lim, C. Goh, A. Khan and Y. Li, ICNC, 26-29 Jan 2017.

    Predicting Types of Failures in Wireless Sensor Networks Using an Adaptive Neuro-Fuzzy Inference System 

    C. Lim, C. Goh, A. Khan, A. Syed and Y. Li

    9thIEEE International Workshop on STWiMob, New York, USA 17-19 Oct. 2016. 

    Assessing Effect of Cloud Distance on End User’s Quality of Experience 

    A. Laghari, H. Hui, A. Khan and S. Shafiq

    ICCC, Chengdu, China, 14-17 Oct. 2016

    Measuring student engagement and participation: how canan engineering lecturer’s use of technology in teaching andlearning contribute towards institutional research?

    Asiya Khan & Priska Schoenborn, 

    HEIR Conference, Liver John Moores University, 7-8 Sept. 2016. 

    Enhancing Student Learning and Participation Interactively through the use of Clickers in science and Engineering

    Asiya Khan & Abigail Mcquatters-Gollop

    14th VCs Teaching and Learning Conference, 29th June 2016.

    Impact of End Devices on Subjective Video Quality Assessment for QCIF Videos
    Asiya Khan, Lingfen Sun, Jose-Oscar Fajardo, Ianire Tabaoda, Fidel Liberal and Emmanuel Ifeachor
    Third International Workshop on Quality of Multimedia Experience, 7-9 Sept., 2011, Mechelen, Belgium (Acceptance rate 45%).

    QoE-driven Sender Bitrate Adaptation Scheme for Video Applications over IP Multimedia Subsystem 
    Asiya Khan, Is-Haka Mkwawa, Lingfen Sun and Emmanuel Ifeachor 
    IEEE ICC, 2011, Kyoto Japan, 5-9 June 2011 (Acceptance rate 38%).

    Impact of RLC losses on Quality Prediction for H.264 Video over UMTS Networks
    Asiya Khan, Lingfen Sun, Jose Oscar Fajardo, Fidel Liberal and Emmanuel Ifeachor
    IEEE ICME, 2010, Singapore, 19-23 July 2010. (Acceptance rate 30%).

    An ANFIS-based Hybrid Quality Prediction Model for H.264 Video over UMTS Networks
    Asiya Khan, Lingfen Sun, Jose Oscar Fajardo, Fidel Liberal and Emmanuel Ifeachor
    IEEE CQR, 2010, Vancouver, Canada, 8-10 June 2010. (Acceptance rate 45%).

    Video Quality Prediction Model for H.264 Video over UMTS Networks and their Application in Mobile Video Streaming
    Asiya Khan, Lingfen Sun, Jose Oscar Fajardo, Fidel Liberal and Emmanuel Ifeachor
    IEEE ICC, 2010, Cape Town, South Africa, 23-27 May 2010. Acceptance rate (37%).

    Content classification-based and QoE-driven Video Send Bitrate Adaptation Scheme
    Asiya Khan, Lingfen Sun, Emmanuel Jammeh and Emmanuel Ifeachor
    Mobimedia, London, UK, 7-9 Sept 2009.

    Content Classification Based on Objective Video Quality Evaluation for MPEG4 Video Streaming over Wireless Networks
    Asiya Khan, Lingfen Sun and Emmanuel Ifeachor
    World Congress on Engineering, track on International Conference on Wireless Networks (ICWN), 1-3 July 2009, London, UK. (Acceptance rate: 56.73%)

    Content Clustering-based Video Quality Prediction Model for MPEG4 Video Streaming over Wireless Networks
    Asiya Khan, Lingfen Sun and Emmanuel Ifeachor
     IEEE International Conference on communications (ICC) (acceptance rate 33%), 14-18 June, 2009, Dresden, Germany.

    Impact of Video Content on Video Quality for Video over Wireless Networks
    Asiya Khan, Lingfen Sun and Emmanuel Ifeachor
    Fifth International Conference on Autonomic and Autonomous Systems (ICAS) 
    April 20-25, 2009, Valencia, Spain. (Acceptance rate varies from 28% to 42%). Awarded with BEST PAPER AWARD.

    Open IMS Core with VoIP Quality Adaptation
    Is-Haka Mkwawa, Emmanuel Jammeh, Lingfen Sun, Asiya Khan and Emmanuel Ifeacor
    Fifth International Conference on Autonomic and Autonomous Systems (ICAS), April 20-25, 2009, Valencia, Spain.  

    An ANFIS-based Hybrid Video Quality Prediction Model for Video Streaming over Wireless Networks
    Asiya Khan, Lingfen Sun and Emmanuel Ifeachor
    Proceedings of the IEEE Computer Society Press, NGMAST 2008, September 16-19, 2008, Cardiff, Wales, UK.  

    Audiovisual Quality Assessment for 3G Networks in Support of E-Healthcare
    Asiya Khan, Zhuoqun Li, Lingfen Sun and Emmanuel Ifeachor
    Proceedings of the 3rd International Conference on Computational Intelligence in Medicine and Healthcare(CIMED 2007), July 25-27, Plymouth, UK, 2007.

     

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    Links

    https://www.fose1.plymouth.ac.uk/autonomous_marine_systems/