Dr. Kamran Javaid

Designation                HoD and Associate Professor                                                     

Email                        cptr.hod@nutech.edu.pk | kamranjaved@nutech.edu.pk

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. No	Degree	University			Year
1	P.hD	University of Franche Comte (FEMTO-ST Institute), France.			2/1/2014
2	M.Sc	COMSATS University, Pakistan			8/1/2009
3	B.Sc	COMSATS University, Pakistan			8/1/2006
Teaching Experience
Sr. No	Designation	University		Year
				From	To
1	Head of Department	National University of Technology, Islamabad (NUTECH) Pakistan		1/9/2018	Till date
2	Associate Professor	National University of Technology, Islamabad (NUTECH) Pakistan		1/9/2018	Till date
3	Lecturer	COMSATS Institute of Information Technology, Pakistan		1/8/2009	1/1/2011
4	Research Assoc.	COMSATS University, Pakistan		1/9/2007	1/8/2009
Industrial Experience
Sr. No	Designation	Industry		Year
				From	To
1	Data Scientist	SENSEYE, United Kingdom		1/10/2016	1/3/2018
2	Postdoctoral Researcher	ENSMM and Fuel Cell LAB Belfort, France		1/2/2014	1/7/2016
3	Doctoral Researcher	FEMTO-ST Institute, Besançon, France		1/2/2011	1/2/2014
4	IT Engineer	Ministry of Overseas, Pakistan		1/3/2007	1/8/2007
5	Core Network Engineer (Internship)	Mobilink Telecommunications, Pakistan		1/7/2006	1/11/2006
6	Internship	National Testing Service, Pakistan		1/7/2005	1/8/2005
Honors and Awards
Sr. No	Award			Year
1	ANR France research grant for project PROPICE			2014-2016
2	ANR France research grant for project PROFUSION			2013-2015
3	PhD degree with highest distinction.			2014
4	Thesis nominated for the Best Thesis Award in France			2014
5	Highest impact research of the year			2014
6	Fully funded P.hD and research grant from Ministry of France for Higher Education			2010-2014
Research Areas/Interests
Sr. No	Area	Description
1	PHM Technology	Prognostics and Health Management of Critical Engineering Assets
2	IVHM Technology	Integrated Vehicle Health Management System
3	Predictive maintenance	Scalable solution for Artificial Intelligence based condition monitoring and prognostics
4	Industrial Internet of Things	Cloud and data streams, Real time analytics and PdM
Journal Publications
Sr. No	Journal Name	Publication Title with I.F			Year
1	Journal of Intelligent Manufacturing	Javed, 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: 4.48			2021
2	Computers, Materials & Continua	Mahmood. 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
3	IEEE Access	IEEE Access 8, 203158-203167, IF: 3.745			2020
4	Mechanical Systems and Signal Processing	Javed, 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: 6.47			2017
5	Journal of Power Sources	Javed, 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: 8.24			2016
6	Journal of Intelligent Manufacturing	Javed 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: 4.48			2016
7	IEEE Transactions on Cybernetics	Javed 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: 11.47			2014
8	IEEE Transactions on Industrial Electronics	Javed, 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: 8.70			2014
9	Neurocomputing	Javed 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: 4.438			2014
10	Australian Journal of Basic and Applied Sciences	Laiq 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: 2.5			2010
11	Australian Journal of Basic and Applied Sciences	Laiq 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: 2.5			2010
Conference Publications
Sr. No	Conference Name	Publication Title			Year
1	IEEE International Conference on Control, Decision and Information Technologies	Javed 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
2	IEEE International Conference on Industrial Technology	Javed 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
3	International Conference on Fundamentals & Development of Fuel Cells	Javed 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
4	IEEE Industrial Electronics Society	Javed 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
5	IEEE International Conference on Prognostics and Health Management	Javed 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
6	International Symposium on Fault Detection, Supervision and Safety for Technical Processes	Javed 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
7	IEEE International Conference on Prognostics and Health Management	Javed 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
8	Annual Conference of the Prognostics and Health Management Society	Javed 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