Dr. Kamran Javaid

Designation                HoD and Associate Professor                                                     

Email                        [email protected] | [email protected]

NUTECH ext.               213

Profile Summary

Dr. Kamran Javed received his Ph.D. degree in Automatic control and Industrial Informatics from University of Franche-Comté (FEMTO-ST Institute), Besançon, France, in 2014. In the same year, he joined Fuel Cell Laboratory, Belfort, France, as a Postdoctoral Researcher. From 2016-2018, he worked on several industrial projects with automotive manufacturing and aviation industries in UK and Pakistan. In 2018, he joined National University of Technology, Pakistan as Head of Computer Engineering Department. His research interests include development of condition monitoring and prognostics solutions for critical engineering assets in a Big data environment.

Qualification
Sr. NoDegreeUniversityYear
1P.hDUniversity of Franche Comte (FEMTO-ST Institute), France.2/1/2014
2M.ScCOMSATS University, Pakistan8/1/2009
3B.ScCOMSATS University, Pakistan8/1/2006

Teaching Experience

Sr. NoDesignationUniversityYear
FromTo
1Head of DepartmentNational University of Technology, Islamabad (NUTECH) Pakistan1/9/2018Till date
2Associate ProfessorNational University of Technology, Islamabad (NUTECH) Pakistan1/9/2018Till date
3LecturerCOMSATS Institute of Information Technology, Pakistan1/8/20091/1/2011
4Research Assoc.COMSATS University, Pakistan1/9/20071/8/2009

Industrial Experience

Sr. NoDesignationIndustryYear
FromTo
1Data ScientistSENSEYE, United Kingdom1/10/20161/3/2018
2Postdoctoral ResearcherENSMM and Fuel Cell LAB Belfort, France1/2/20141/7/2016
3Doctoral ResearcherFEMTO-ST Institute, Besançon, France1/2/20111/2/2014
4IT EngineerMinistry of Overseas, Pakistan1/3/20071/8/2007
5Core Network Engineer (Internship)Mobilink Telecommunications, Pakistan1/7/20061/11/2006
6InternshipNational Testing Service, Pakistan1/7/20051/8/2005

Honors and Awards

Sr. NoAwardYear
1ANR France research grant for project PROPICE2014-2016
2ANR France research grant for project PROFUSION2013-2015
3PhD degree with highest distinction.2014
4Thesis nominated for the Best Thesis Award in France2014
5Highest impact research of the year2014
6Fully funded P.hD and research grant from Ministry of France for Higher Education2010-2014

Research Areas/Interests

Sr. NoAreaDescription
1PHM TechnologyPrognostics and Health Management of Critical Engineering Assets
2IVHM TechnologyIntegrated Vehicle Health Management System
3Predictive maintenanceScalable solution for Artificial Intelligence based condition monitoring and prognostics
4Industrial Internet of ThingsCloud and data streams, Real time analytics and PdM

Journal Publications

Sr. NoJournal NamePublication Title with I.FYear
1Journal of Intelligent ManufacturingJaved, K., Gouriveau, R., Zerhouni, A Yasin., Impact of feature engineering on long-term predictions and improving the efficiency of prognostics, Journal of Intelligent Manufacturing, 2021. IF: 4.482021
2Computers, Materials & ContinuaMahmood. J, , Shahzad A., Khalid M., Muhammad K., Amin al-awady, Kamran Javed, An Efficient Connectivity Restoration Technique (ECRT) for Wireless Sensor Network, Computers, Materials & Continua (CMC, ISSN: 1546-2218), IF: 4.08
2021
3IEEE AccessIEEE Access 8, 203158-203167, IF: 3.7452020
4Mechanical Systems and Signal ProcessingJaved, K., Gouriveau, R., Zerhouni, N., State of the art and taxonomy of prognostics approaches, trends of prognostics applications and open issues towards maturity at different technology readiness levels. Mechanical Systems and Signal Processing, Vol. 94, pp.214-236, September 2017. IF: 6.472017
5Journal of Power SourcesJaved, K., Gouriveau, R., Zerhouni, N., Hissel, D., Prognostics of Proton Exchange Membrane Fuel Cells stack using an ensemble of constraints based connectionist networks, Journal of Power Sources, Vol. 324, pp. 745-757, DOI 10.1016/j.jpowsour.2016.05.092. IF: 8.242016
6Journal of Intelligent ManufacturingJaved K., Gouriveau R., Zerhouni N, Xiang L., Tool wear monitoring and prognostics challenges: a comparison of connectionist methods toward an adaptive ensemble model, Journal of Intelligent Manufacturing, pp. 1-8, November 2016. IF: 4.482016
7IEEE Transactions on CyberneticsJaved K., Gouriveau R., Zerhouni N., A New Multivariate Approach for Prognostics Based on Extreme Learning Machine and Fuzzy Clustering, IEEE Transactions on Cybernetics, November 2014, DOI 10.1109/TCYB.2014.2378056. IF: 11.472014
8IEEE Transactions on Industrial ElectronicsJaved, K., Gouriveau, R., Zerhouni, N., Nectoux, P., Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics, IEEE Transactions on Industrial Electronics, April 2014, DOI 10.1109/TIE.2014.2327917. IF: 8.702014
9NeurocomputingJaved K., Gouriveau R., Zerhouni N, SW-ELM: A summation wavelet extreme learning machine algorithm with a priori parameter initialization, Neurocomputing, Vol. 123, pp. 299-307, January 2014. IF: 4.4382014
10Australian Journal of Basic and Applied SciencesLaiq Khan, Kamran Javed, Sidra Mumtaz, ANN based short term load forecasting paradigms for WAPDA Pakistan, Australian Journal of Basic and Applied Sciences, Vol. 4, Issue 5, pp. 932-947, January 2010. IF: 2.52010
11Australian Journal of Basic and Applied SciencesLaiq Khan, Sidra Mumtaz, Kamran Javed, Generator Maintenance Schedule for WAPDA System using Meta-Heuristic Paradigms, Australian Journal of Basic and Applied Sciences, Vol. 4, Issue 7, pp. 1656-1667, January 2010. IF: 2.52010

Conference Publications

Sr. NoConference NamePublication TitleYear
1IEEE International Conference on Control, Decision and Information TechnologiesJaved K., Gouriveau R., Zerhouni N., Hissel D., PEM fuel cell prognostics under variable load: a data-driven ensemble with new incremental learning, IEEE International Conference on Control, Decision and Information Technologies, CoDIT16, Malta, April 2016.2016
2IEEE International Conference on Industrial TechnologyJaved K., Gouriveau R., Zerhouni N., Hissel D., Improving Accuracy of Long-term Prognostics of PEMFC stack to Estimate Remaining Useful Life, IEEE International Conference on Industrial Technology, ICIT 2015, Seville, Spain, 17-19 March 2015.2015
3International Conference on Fundamentals & Development of Fuel CellsJaved K., Gouriveau R., Zerhouni N., Hissel D., Data-driven Prognostics of Proton Exchange Membrane Fuel Cell Stack with constraint based Summation-Wavelet Extreme Learning Machine, 6th International Conference on Fundamentals & Development of Fuel Cells, FDFC 2015, Toulouse, France, 3-5 February 2015.2015
4IEEE Industrial Electronics SocietyJaved K., Gouriveau R., Zerhouni N., Novel failure prognostics approach with dynamic thresh- olds for machine degradation, In: Proceedings of the 39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013, Vienna, Austria, 10-13 November 2013.2013
5IEEE International Conference on Prognostics and Health ManagementJaved K., Gouriveau R., Zerhouni N., A feature extraction procedure based on trigonometric functions and cumulative descriptors to enhance prognostics modeling and estimates, In: Pro- ceedings of the IEEE International Conference on Prognostics and Health Management, IEEE PHM 2013, Gaithersburg, MD, USA, 24-27 June 2013.2013
6International Symposium on Fault Detection, Supervision and Safety for Technical ProcessesJaved K., Gouriveau R., Zemouri R., Zerhouni N., Features Selection Procedure for Prognostics: An Approach Based on Predictability, In: Proceedings of the 8th IFAC International Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2012, Mexico, 29-31 August 2012.2012
7IEEE International Conference on Prognostics and Health ManagementJaved K., Gouriveau R., Zerhouni N., Zemouri R., Li X., Robust, reliable and applicable tool wear monitoring and prognostic: approach based on an Improved-Extreme Learning Machine, In: Proceedings of the IEEE International Conference on Prognostics and Health Management, IEEE PHM 2012, Denver, CO, USA, 18-21 June 2012.2012
8Annual Conference of the Prognostics and Health Management SocietyJaved K., Gouriveau R., Zemouri R., Zerhouni N, Improving data-driven prognostics by assessing predictability of features, In: Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM 2011, Montreal, QC, Canada, 25-29 September 2011.2011