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What, Why and How
Ph.D. (Computer Science), 2015 University of Bradford, UK
PGCert (Fellow of Higher Education Academy), 2013 University of Bradford, UK
MSc Artificial Intelligence in Board Games, 2008 University of Bradford, UK
MSc (Computer Science), 2006 COMSATS University, PK
BSc (Mathematics, Physics, Geography), 2003 University of Punjab, PK
Dr. Wasiq KHAN is working at Manchester Metropolitan University, UK in the Intelligent System research Lab. Currently, He is Technical Manager of an EU funded Research project (iBorderCtrl: http://www.iborderctrl.eu/) where he is working on Automated Deception Detection research. Dr. KHAN is research active in the domains of Machine learning, Real time video processing, Speech processing and Recognition, Real time data analysis, Probabilistic fuzzy modelling, and Intelligent reasoning. Previously, Wasiq has been working as a PostDoc Research Associate at Intelligent Systems Lab, University of Central Lancashire; focusing research and development of the intelligent systems with diverse applications. One of his successful delivered research project is the Flight Guardian (http://www.aerospace.co.uk/news/140915-natep-projects): a first of a generation disruptive cockpit technology to improve the flight safety by real-time monitoring of the cockpit instruments. Other research projects He participated include health assessment based on imagery and sensor data, autonomous drone navigation and control, and intelligent task reallocation system.
Working as a Research Fellow at Intelligent Systems Research Lab, Reading University, Wasiq was mainly involved in Pathological Gait analysis and Bayesian inference modelling in CORBYS: a cognitive control framework for robotic systems (http://www.corbys.eu/). CORBYS was funded by the European Commission under the 7th Framework Program focusing robotic systems that have symbiotic relationship with humans using advanced multi-sensor system to facilitate dynamic environment perception to endow the robotic systems with high-level cognitive capabilities such as situation-awareness and attention control. He introduced a novel algorithm for Hip angular motion based Gait sub-phase segmentation without machine supervision. Wasiq also developed a Bayesian inference model based person state monitoring that uses a multi-layered beliefs from several information resources to assess real time situation.
Wasiq has also been working as an Assistant Lecturer at the School of Computing & Engineering, Bradford University. He taught different Computer Science modules to Under-Garduate and Post-Graduate students. He is advisor for a number of Ph.D students. He has been publishing in high impact Journals and international Conferences as well as reviewing world leading Journals. He also possesses expertise in Research Funding applications with collaboration to Academic and Industry partners.
Reviewer for the International Journals and Conferences:
Other responsibilities include:
English
Urdu
Punjabi
Hindkoh
Pashto
Introduction to Java Programming
Ph.D advisor
Dr. KHAN is research active in the domain of Computational Intelligence and Data Science with interdisciplinary application areas. He has been publishing in high impact peer reviewed Journals and Conference proceedings.
PEER REVIEWED PUBLICATIONS
Kuru K., Khan W (2018) ‘Novel object-based clustering approach for grouping of images in specific visual domains’, Applied Soft Computing, Elsevier, DOI: https://www.sciencedirect.com/science/article/pii/S1568494617306701 (CiteScore Percentile: 92%, 5 Year Impact Factor: 3.81).
Khan W., Ansell D., Kuru K (2018) 'The Flight Guardian: An Intelligent Warning System for Improving Flight Safety by Monitoring Aircraft Cockpit Instruments', Journal of Aerospace Information System, AIAA, DOI: http://arc.aiaa.org/doi/abs/10.2514/1.I010570 (CiteScore Percentile: 59%, 5 Year Impact Factor: 1.66).
Bilal M., Khan W., Muggleton J., Rustighi E., Jenks H., Pennock S R., Atkins P R., Cohn A (2018) 'Inferring the Most Probable Maps of Underground Utilities using Bayesian Mapping Model', Journal of Applied Geophysics, Elsevier (Accepted: Publishing Process), URL: https://www.sciencedirect.com/science/article/pii/S092698511730143X (CiteScore Percentile: 66%, Impact Factor: 0.89).
Khan W., (2018) ‘Adaptive Framing Based Similarity Measurement between Time Warped Speech Signals Using Kalman Filter’, International Journal of Speech Technology, Springer, (CiteScore Percentile: 83%), DOI: https://link.springer.com/article/10.1007%2Fs10772-018-9511-z
Crockett K, O’Shea J, Khan W, Antoniades A, Kindynis P (2018) ‘Intelligent Detecting Deception through Machine Based Interviewing’, IEEE World Congress on Artificial Intelligence, Brazil, (Accepted). URL: http://www.ecomp.poli.br/~wcci2018/.
O’Shea J, Crockett, Khan W (2018) ‘A hybrid model combining neural networks and decision tree for comprehension detection’, IEEE World Congress on Artificial Intelligence, Brazil, (Accepted). URL: http://www.ecomp.poli.br/~wcci2018/.
Khan W, Kuru K (2017) ‘Intelligent system for spoken term detection using the belief combination’, Intelligent Systems, An IEEE Journal, 32(01), Pp. 70-79, DOI: 10.1109/MIS.2017.13 URL: http://ieeexplore.ieee.org/document/7851143/ (CiteScore Percentile: 89%, 5 Year Impact Factor: 3.5)
Khan W., Badii A., Ansell D (2017) ‘Pathological Gait Classification and Segmentation by Processing the Hip Joints Motion Data to Support Mobile Gait Rehabilitation’, Journal of NeuroEngineering (Accepted with revisions, Impact: 3.25).
Kuru K., Khan W., Ansell D (2017) ‘Optimisation of the use of UAVs for logistics operations: an intelligent delivery platform to manage multidimensional complexities of multiple warehouses, multiple UAVs with multiple cargo carriers using multiple air highways’, Transportation Research Part C, Elsevier (CiteScore Percentile: 96%, 5 year Impact Factor: 4.33, Revisions Submitted, Dec 2017), URL: https://www.journals.elsevier.com/transportation-research-part-c-emerging-technologies/
Khan W., Holton R (2016) ‘Decision Support System for Keyword Spotting Using Theory of Evidence’, International Journal of Computer and Electrical Engineering, Vol. 08, No. 1, Pp. 22-30, URL: http://www.ijcee.org/vol8/911-CI001.pdf
Khan W., Ansell D., Kuru K., Amina M (2016) ‘Automated Aircraft Instrument Reading Using Real Time Video Analysis’, IEEE Int. Conf. Int. Sys, Sofia, Bulgaria, 4-6 September. URL: https://ieeexplore.ieee.org/document/7737454/?arnumber=7737454
Khan W., Holton R (2015) ‘Time Warped Continuous Speech Signal Matching Using Kalman Filter’, International Journal of Speech Technology, Springer, 18(1), Pp. 1381-2416, DOI: http://dx.doi.org/10.1007/s10772-015-9277-5, URL: https://link.springer.com/article/10.1007/s10772-015-9277-5#citeas, (CiteScore Percentile: 83%)
Khan W., Jiang P., Chan P. M. L (2014) ‘A Creative Application of Wavelet Transform and Kalman Filter for Children Proof-reading and Continuous Speech Tracking in Online Stories and TV Programs’, International Journal of Creative Computing, Inderscience Publishers, 1(1).
Khan W., Jiang P., Holton R (2014) ‘Word Spotting in Continuous Speech Signal using Wavelet Transform’, IEEE international Conference on Electro/Information Technology, Pp. 275-279, Milwaukee, USA, 5-7 June. URL: https://ieeexplore.ieee.org/document/6871776/
Khan W., Jiang P., Bilal M (2014) ‘A Time Effective Approach for Vector Similarity Measurement Based on Vector Addition’, International Conference on Power, Control and VLSI Engineering (ICPCVE 2014), Pp. 21-27, Dubai, 3-5 January. URL: http://psrcentre.org/images/extraimages/6%20114026.pdf
Badii A., Khan A. A., Khan W., et al (2014) ‘Situation Assessment through Multi-modal Sensing of Dynamic Environments to Support Cognitive Robot Control’, FACTA UNIVERSITATIS Series: Mechanical Engineering, 12(2), Pp. 251-260. URL: http://casopisi.junis.ni.ac.rs/index.php/FUMechEng/article/view/583
Bilal M., Chan P. M. L., Khan W (2013) ‘Cooperative Network for Emergency Communications: Fair Distribution of Reward among Players Based on Their Marginal Contribution’, Cyber Journals: Multidisciplinary Journals in Science and Technology (JSAT), 3(8), Pp. 11-25.
Khan W., Jiang P., Chan P. M. L (2012) ‘Word Recognition in Continuous Speech with Background Noise Based on Posterior Probability Measure’, IEEE international Conference on Electro/Information Technology, Pp. 1-7, USA, 6-8 May. URL: https://ieeexplore.ieee.org/document/6220711/
Bilal M., Khan W., Yar A., Mockford S., Awan I. U. A (2012) ‘Tracesaver: A Tool for Network Service Improvement and Personalized Analysis of User Centric Statistics’, PCGlobal conference, Pp. 215-221, Las Vegas,USA, 6-8 August. URL: http://adsabs.harvard.edu/abs/2012AIPC.1499..215B
Khan W., Ansell D (2016) ‘Flight Guardian: A Technical Report’, University of Central Lancashire, Available: http://clok.uclan.ac.uk/14258/
W. Khan, R. Holton Decision Support System for Keyword Spotting Using Theory of Evidence. International Journal of Computer and Electrical Engineering. 8(1), pp.22-30.
K. Kuru, W. Khan (2018). Novel hybrid object-based non-parametric clustering approach for grouping similar objects in specific visual domains. Applied Soft Computing Journal. 62, pp.667-701.
W. Khan, K. Kuru (2017). An Intelligent System for Spoken Term Detection That Uses Belief Combination. IEEE Intelligent Systems. 32(1), pp.70-79.
W. Khan, R. Holton (2015). Time warped continuous speech signal matching using Kalman filter. International Journal of Speech Technology. 18(3), pp.419-431.
Arts and Humanities Research Council (AHRC), United Kingdom (Ready for Submission).
EPSRC First Grant (Ready for Submission).
Department of Transport, UK (Ready for Submission).
CORBYS (http://www.corbys.eu/)
The Flight Guardian (http://www.aerospace.co.uk/news/140915-natep-projects)
Intelligent System for Online Interview and Emotion Recognition
Continuous Speech Tracking
Bronze Medal in MSc Computer Science with 80%
PGCert (GTA with Distinction)