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Pakistan Navy Engineering College (PNEC)
Dr Khurram Kamal (HoPGP ME)
Associate Professor
Department of Engineering Sciences

National University of Sciences and Technology (NUST)
PNS Jauhar, Habib Ibrahim Rehmatullah Road,Karachi
Tel : 92-03353309916

Mechatronics, Artificial Intelligence, Machine Learning

PhD in Mechatronics (2008) Loughborough University, UK

Editorship and Review
Reviewer Elsevier Journal Automation in Construction
Reviewer Elsevier Journal of Transportation and Traffic Engineering
Reviewer Springer Journal of Mechanical Science and Technology
Reviewer Applied Optics USA
Reviewer IEEE Transactions on Intelligent Transportation Systems
Reviewer IEEE conference on Intelligent Transportation Systems
Reviewer of various IEEE conferences.
Edited proceedings of IEEE International Conference on Robotics and Artificial Intelligence 2012.

Programming Languages& Environments
Machine Learning and Image processing using Matlab, C/C++ and Python
Matlab & Simulink
Well versed with C/C++ programming. Have applied C language for motion control
applications. Used GNU C to develop different embedded Linux applications for realtime
embedded systems.
Visual Basic programming with SQL server to develop software for various engineering
and mechatronics applications.
Well-versed with Mikrobasic programming to program PIC and DSPIC microcontrollers. 
Android Studio
Knows basic Java and Assembly language.

CAD Software &other Packages
AutoCAD 14 and 2000
Office automation (Word, Excel, Power Point, Access, browsing and email)
Minitab (Statistical Software)

Urdu (native), English (fluent), Arabic (beginner)

Microcontroller based systems and their programming, embedded system
programming and real-time operating systems (programming under embedded Linux)
Sensors and Actuators (measurement and calibration)
Wireless technologies (Blue tooth, RFID, Xbee, etc.)
Vibration analysis (both time domain and frequency domain techniques)
Statistical data analysis
Software development
Simulation and modelling (Monte Carlo techniques etc.)
Product sustainability, maintainability, reliability, condition monitoring, and
Computerised Maintenance Management Systems (CMMS)

Awarded an Engineering and Physical Sciences Research Council (EPSRC) - UK
scholarship for the PhD study by Loughborough University UK. 

Research Grants
Received grant of 40000 RM in the year 2011 from University Teknologi Malaysia (UTM) to
carry out a research project.
ICT R & D grant of 70000 for FYP
Kamal, K., Parkin, R., Jackson, M.R., Rahimifard, S. and Ang, P.Y., ''Application of
embedded Information devices, an advanced approach to support sustainable product
lifecycle management'', Proceedings of the 5th International Conference of Design and
Manufacture for Sustainable Development, Paper No.48, Loughborough, UK, 2007, ISBN
Parkin, R., Ang, P.Y., Kamal, K., Jackson, M.R., Rahimifard, S. and Czarnecki,
C., ''Reference Model for the Use of Embedded Information Devices to Enable
Sustainability in the Product Life Cycle - Invited Keynote (iensys)'', Proceedings of
the Int. Conference on Mechatronics Technology, Kuala Lumpur, Malaysia, 5th
December 2005, pp. 1-6
Munawar, A., A. Qaiser, K. Kamal and A. Ejaz, "Autonomous target detection
using segmented correlation method and tracking via mean shift algorithm”,Paper
No. 177, Proceeedings of the 4th International Conference On Mechatronics (ICOM)
, Kuala Lumpur, Malaysia, 17-19 May, 2011, ISBN: 978-1-61284-437-7.
AbdulAziz, A., Samosir, S., Kamal, K., Mathavan, S. and Amin, I., “Modelling
and analysing the Proton Exchange Membrane of Fuel Cell (PEMFC) in
Matlab/Simulink environment”, Paper No. 233, Proceedings of the 14th IEEE
International Multitopic Conference (INMIC), Karachi, Pakistan, 22-24 December
2011, ISBN: 978-1-4577-0657-8/11.
Mathavan, S., Rahman, M. and Kamal, K. “Application of Texture Analysis and
the Kohonen Map on Pavement Images for Region Segmentation in Crack
Detection”, TRB 91st annual meeting, Washington, D.C., USA, 22-26 January 2011.
Mathavan, S., Rahman, M. and Kamal, K. “Application of Texture Analysis and
the Kohonen Map on Pavement Images for Region Segmentation in Crack
Detection”, Journal of Transportation Research Record, 2304, pp 150-157
Kamal, K., Farid, M. And Mathavan, S. “Detection of knocking in Spark Ignition
(SI) engines using CMAC neural networks” 2012 IEEE International Conference on
Mathavan, S., Rahman, M., Stonecliffe-Jones, M. and Kamal, K., 2014. Pavement raveling detection and measurement from synchronized intensity and range images. Robotics and Artificial Intelligence. Transportation Research Reco
Mathavan S, Rahman M, Stonecliffe-Jones M, Kamal K. Pavement raveling
detection and measurement from synchronized intensity and range images.
Transportation Research Record: Journal of the Transportation Research Board.
2014 Dec 1(2457):3-11.
Mathavan, S., M. Rahman, and K. Kamal. "Use of a Self-Organizing Map for
Crack Detection in Highly Textured Pavement Images." Journal of Infrastructure
Systems 21.3 (2014): 04014052.
I. Moazzam, K. Kamal, S. Mathavan, S. Usman and M. Rahman, “Metrology
and Visualization of Potholes Using the Microsoft Kinect Sensor”16th International IEEE Annual
Conference on Intelligent Transportation Systems, October 6-9, 2013, The Hague, The
M. Salman, S. Mathavan, K. Kamal and M. Rahman, “Pavement Crack
Detection Using the Gabor Filter” 16th International IEEE Annual Conference on Intelligent
Transportation Systems, October 6-9, 2013, The Hague, The Netherlands
K. Kamal, S. Mathavan, M. Rahman, S. Usman, I. Moazzam, “3D Imaging
estimates pothole volume” Vision System Design, Volume 19, Issue 4.
P. Packianathan, K. Kamal, and S. Mathavan, “Development of an On-board
Visual Display for detection of early knocking in SI engines”, Book chapter in
“Mechatronics Instrumentation Robotics Exhibition Day”, Chapter 22, pp 211-218,
2012, Published by Universiti Teknologi Malaysia Press. ISBN: 978-976-354-189-8.
A. Kumar, K. Kamal, S. Mathavan, T. Vadamalai, O. Arshad, “Smart
irrigation using low-cost moisture sensors and Xbee-based communication”, Global
Humanitarian Technology Conference (GHTC), October 10-13, Silicon Valley/
Sanjose, California, USA.
T. Zafar, K. Kamal, R. Kumar, Z. Sheikh, S. Mathavan, U. Ali, “Tool health
monitoring for wood milling process using Airborne Acoustic Emission”, 8th IEEE
Conference on Automation Science and Engineering, 23-24 July, 2015,
Gothenburg, Sweden
T. Zafar, K. Kamal, Z. Sheikh, S. Mathavan, A. Jahanghir, U. Ali, “Tool Health
Monitoring using Airborne Acoustic Emission and a PSO-optimized Neural
Network”, 2nd IEEE Conference on Cybernetics, 24-26 June 2015, Gdynia Poland,
A. kumar, K. kamal, T. Zafar, M.A Kararvi, H. Afzal, A. Naseer, S. Mathavan,
“Stabilization of an Aerial Robot for Indoor Environments Using a Vision-based
Approach”, IEEE International Conference on Fluid Power and Mechatronics,
August 2015, Harbin, China
A. Rasheed, K. Kamal, T. Zafar, S. Mathavan, and M. Rahman, “Stabilization
of 3D pavement images for pothole metrology using the Kalman filter”, 18th IEEE
International Conference on Intelligent Transportation Systems, September 15-18,
2015, Las Palmas, Spain 
A. Jameel, S. Khalid, M. Khan, K. Kamal, A. Aqeel, S. Mathavan, T. Awais, T.
Zafar, “A Bio Inspired UAV Model Based on CorvusSplendens”, IEEE International
Conference on Fluid Power and Mechatronics, August 2015, Harbin, China
Mathavan S, Kamal K, Rahman M. A review of three-dimensional imaging
technologies for pavement distress detection and measurements. IEEE
Transactions on Intelligent Transportation Systems. 2015 Oct;16(5):2353-62.
Shaheer M, Hashmi H, Khan S, Atif M, Shabbir Z, Ali A, Kamal K, Zafar T,
Awan A. Control of a ball-bot using a PSO trained neural network. InControl,
Automation and Robotics (ICCAR), 2016 2nd International Conference on 2016 Apr
28 (pp. 24-28). IEEE.
Qayyum R, Kamal K, Zafar T, Mathavan S. Wood defects classification using
GLCM based features and PSO trained neural network. In Automation and Computing
(ICAC), 2016 22nd International Conference on 2016 Sep 7 (pp. 273-277). IEEE.
Rashid M, Kamal K, Zafar T, Sheikh Z, Shah A, Mathavan S. Energy prediction
of a combined cycle power plant using a particle swarm optimization trained
feedforward neural network. In Mechanical Engineering, Automation and Control
Systems (MEACS), 2015 International Conference on 2015 Dec 1 (pp. 1-5). IEEE.
Kamal K, Mathavan S, Zafar T, Moazzam I, Ali A, Ahmad SU, Rahman M.
Performance assessment of Kinect as a sensor for pothole imaging and metrology.
International Journal of Pavement Engineering. 2016 Jun 2:1-2.
Akram K, Kamal K, Zeb A. Fast simulated annealing hybridized with quenching for
solving job shop scheduling problem. Applied Soft Computing. 2016 Dec 31;49:510-
Mathavan S, Kumar A, Kamal K, Nieminen M, Shah H, Rahman M. Fast
segmentation of industrial quality pavement images using Laws texture energy
measures and k-means clustering. Journal of Electronic Imaging. 2016 Sep
Vaheesan K, Chandrakumar C, Mathavan S, Kamal K, Rahman M, AlHabaibeh
A. Tiled fuzzy Hough transform for crack detection. InThe International
Conference on Quality Control by Artificial Vision 2015 2015 Apr 30 (pp. 953411-
953411). International Society for Optics and Photonics.
Akram K, Kamal K. Hybridization of simulated annealing with quenching for job
shop scheduling. InFluid Power and Mechatronics (FPM), 2015 International
Conference on 2015 Aug 5 (pp. 825-829). IEEE.
Zafar, T., Kamal, K., Sheikh, Z., Mathavan, S., Ali, U., & Hashmi, H. (2017). A neural
network based approach for background noise reduction in airborne acoustic emission of a
machining process. Journal of Mechanical Science and Technology, 31(7), 3171-3182.
Mathavan, S., Vaheesan, K., Kumar, A., Chandrakumar, C., Kamal, K., Rahman, M., &
Stonecliffe-Jones, M. (2017). Detection of pavement cracks using tiled fuzzy Hough
transform. Journal of Electronic Imaging, 26(5), 053008.
Kamal, K., Qayyum, R., Mathavan, S., & Zafar, T. (2017). Wood defects classification
using laws texture energy measures and supervised learning approach. Advanced
Engineering Informatics, 34, 125-135.
Usman, M., Kamal, K., Qayyum, R., Akram, S., & Mathavan, S. (2017, August). 3D sound
generation using Kinect and HRTF. In Signal and Image Processing (ICSIP), 2017 IEEE
2nd International Conference on (pp. 307-310).
Hassan, N., Mathavan, S., & Kamal, K. (2017, September). Road crack detection using
the particle filter. In Automation and Computing (ICAC), 2017 23rd International Conference
on (pp. 1-6). IEEE. 
Javed, T., Kamal, K., & Mathavan, S. (2017, September). Identifying tree species from
google earth imagery: Detection of Palmyra trees in northern Sri Lanka. In Automation and
Computing (ICAC), 2017 23rd International Conference on(pp. 1-5). IEEE.
Fahad, M., Kamal, K., Zafar, T., Qayyum, R., Tariq, S., & Khan, K. (2017, August).
Corrosion detection in industrial pipes using guided acoustics and radial basis function
neural network. In Robotics and Automation Sciences (ICRAS), 2017 International
Conference on (pp. 129-133). IEEE.
Riaz, F., Kamal, K., Zafar, T., & Qayyum, R. (2017, May). An inspection approach for
casting defects detection using image segmentation. In Mechanical, System and Control
Engineering (ICMSC), 2017 International Conference on (pp. 101-105). IEEE.  
Assistant Professor August 2017 to date
Department of Engineering Sciences, National University of Science and Technology
(NUST), Karachi, Pakistan
Taught a course on Control Systems at undergraduate level and courses on
Optimization, and Instrumentation and measurement at graduate level.
Leading and supervising a project on development of a Morphing Wing UAV.
 Project involves development of a UAV with morphing wing mechanism. An initial
prototype has been developed.

Assistant Professor August 2012– 2017
Department of Mechatronics, National University of Science and Technology (NUST),
Islamabad, Pakistan
Taught a course on Fluid Mechanics at undergraduate level and a course on Machine
Learning at graduate level.
Led and supervised a project on development of an Aerial Robot for pavement imaging.
 Project involved development of a quad-rotor based aerial robot to acquire
pavement images for road condition monitoring. A prototype is under
 Project also involved development of image processing and machine learning
algorithms for road crack detection, in this regard, various algorithms have been
Supervised a project on development of a Flapping Wing UAV (Unmanned Aerial
 Project involved development of a bio-inspired UAV based on anatomy of Corvus
Splendens (domestic crow).
 Researched and developed the mechanics of the bio-inspired mechanism for flying.
 Project also involves development of a CAD model, CFD analysis, and adaptive
control of the bio-inspired UAV.
 Two prototypes have been developed so far.
Led a project on pavement crack detection, and metrology and visualization of potholes
using 3D imaging techniques.
 The ongoing project is carried out with international collaboration of different
research groups at Nottingham Trent and Brunel Universities of United Kingdom
 Two successful MS theses is supervised and another one is in progress.
 Various publications in international conferences and journals have been produced.
Served as team member of a committee involves in implementation of Outcome Based
Education (OBE) system based on Washington Accord and in accreditation with the
Pakistan Engineering Council.
Teaching and examining courses at Master’s and Undergraduate level: Paradigms of
Artificial Intelligence, Advanced Manufacturing Design Techniques, Artificial Intelligence,
Machine Learning, Fluid Mechanics, Materials and Manufacturing, Theory of Machines
and Digital Signal Processing.
 Have Supervised various theses and projects at graduate and undergraduate levels.
Senior Lecturer July 2010 – July 2012
Department of Mechatronics and Robotics, University Technology Malaysia
Led a project funded by University Technology Malaysia, “To develop an
Intelligent Embedded Information Device (EID) for MOL (Middle Of Life)
Management of a Product to Support Productivity, Maintainability, and
 The project was about developing an intelligent embedded information
device for the onboard diagnosis of knock in SI engines
 Developed the hardware using low-cost piezoelectric accelerometers
with dsPIC and mbed-ARM microcontrollers.
 Used the ZigBee protocol for wireless data acquisition.
 The programming and implementation of on-chip digital filters, Fast
Fourier Transforms (FFT) and the prediction of knock using techniques
of AI (Artificial Intelligence) were implemented.
Supervised various projects related to RFID based systems, serving robots,
wireless telemetry, microcontroller-based systems, voice recognition and
intelligent access control systems.
Taught and examined courses: electronics, electrical technology, and
electro-mechanical systems at undergraduate level.
Supervised the controls laboratory at undergraduate level: frequency
domain analysis, PID control, feedback systems

Assistant Professor June 2009– June 2010
Department of Mechatronics, National University of Science and
Technology (NUST), Islamabad, Pakistan
Taught and examined following courses at Master’s and undergraduate
levels: Artificial Intelligence, Digital Signal Processing, and Theory of
Supervised a project on developing a security system for autonomous
target detection and tracking using RFID, and segmented correlation
method with mean shift algorithm.
Prepared and compiled documents related to the Higher Education
Commission of Pakistan and for the accreditation of the department to the
Pakistan Engineering Council
PhD Researcher in Mechatronics December 2004 – December 2008
Mechatronics Research Group, Loughborough University, UK
Thesis Title: Utilization of Embedded Information Devices (EID) to support
sustainable approach to product lifecycle management
Project Details:
Project concerns passive, smart and intelligent Embedded Information
Devices (EID) in support of sustainable product lifecycles. This includes a
wide range of devices from barcodes, RFID tags, and memory chips to the
development of a fully integrated mechatronic system. The essence of the
work is embedded monitoring systems that contain information concerning
the "experience" of the product in terms of its operational hours, loadings
and potential system abuse.
Designed and developed a test-rig to perform accelerated life testing of a
The rig consisted of a 3-phase induction motor, an electro-magnetic brake,
a bevel gearbox, an accelerometer and a PIC18F458 microcontroller
Programmed an embedded life-prediction algorithm, based on neural networks, on a
LINUX device server (AXIS ETRAX 100LX device chip)
Created a bi-directional communication software to record the vibration data from the
gearbox and then update the product knowledge base on the product itself
Performed Monte-Carlo simulations for the selection of the appropriate statistical
distribution for the life-prediction algorithms
Developed a software using Visual Basic to embed product related information on RFID
tags and iButton devices
Produced a Visual Basic application to record the maintenance activities on a product
and then to transfer the data using the Bluetooth protocol

Assistant Manager November 2003 – November 2004
Pak Suzuki Motor Company, Pakistan
Press Shop Department
Worked as in-charge of production planning and control in the sheet metal press shop
of Pakistan Suzuki. Responsibilities were developing daily production plan and
manpower scheduling in order to achieve daily, monthly, and yearly production targets
for a total workforce of 82 people. Additional responsibilities to production planning were
materials management, co-ordination with production related departments, looking into
plant safety issues and documentation works related to OHSAS and ISO14000.
Implementation of Japanese lean- manufacturing techniques like Kaizen and 5S.

Project Engineer(Part-time) March 2002 – October 2003
Pro-Plan Associates Pvt. (Ltd), Karachi, Pakistan
Have worked as a team member in the development of CMMS (Computerized
Maintenance Management System) software (Tools used: VB, SQL Server, Crystal
Have developed a software e-product track for tracking the product status in
manufacturing plants (Tools: VB, SQL Server, Crystal Report).
Have worked on a project for ISO 9001 Document Management (Tools: VB, SQL Server,
Crystal Report).

Production Executive November 2001 – February 2002
Ismail Industries (CandyLand) Pvt. (Ltd),Karachi, Pakistan
Worked as production executive and shift in-charge in CandyLand confectionery
manufacturers (Karachi, Pakistan), an ISO 9001 certified company. Responsibilities were
production planning and PLC operation control.

Project Engineer January 2001 – October 2001
Pro-Plan Associates Pvt. (Ltd),Karachi, Pakistan
Worked as project engineer and co-ordinator Maintenance Management System for
GlaxoSmithKline. Responsibilities were the development of plant preventive maintenance
procedures, project documentation, as well as scheduling preventive maintenance plans.