Prof. Maen Takruri
| Title: | Interim Department Chair / Director of ICONET / Professor – Electronics and Communications Engineering |
| School: | School of Engineering |
| Department: | Electrical, Electronics and Communications Engineering Department |
| Office: | Bldg. G-326B |
| Phone: | +971 7 246 8733 |
| Email: | maen.takruri@aurak.ac.ae |
Prof. Maen Takruri received his PhD in Electrical Engineering from University of Technology (UTS), Sydney in 2010. He also received his BSc and MSc degrees in Electrical Engineering /Communications from the University of Jordan. In 2009, he undertook formal research commercialization training and received a Graduate Certificate in Research Commercialization from the University of Technology, Sydney.
Currently, he is the director of the CENTER OF INFORMATION, COMMUNICATION AND NETWORKING EDUCATION AND INNOVATION (ICONET) and an Associate Professor with the Department of Electrical, Electronics and Communications Engineering at the American University of Ras Al Khaimah (AURAK), UAE. During his service at AURAK, he played a key role in CAA and ABET accreditation efforts for the Electronics and Communications Engineering program, Electrical Engineering program and others. He also served as the Electronics and Communications program coordinator, the Electrical Engineering program coordinator, the senior projects coordinator, the internship coordinator, the ABET coordinator and AURAK IEEE Student Branch Counselor. Prior to that, he was a Lecturer at the Electrical, Mechanical and Mechatronics School, University of Technology, Sydney. He taught and coordinated several courses in Communications, Signal Processing, Electronics, Circuits and Digital Systems.
Dr. Maen has also been part of many research projects involving collaboration between universities and industry partners. He has a wide spectrum of research interests that include (but not limited to): computer and communication networks, in-network signal processing and data fusion in wireless sensor networks, error detection, trust management, data fusion, estimation theory and target tracking, biomedical and surveillance applications of wireless sensor networks, machine learning and image processing. .He is a senior member of IEEE and an active reviewer for many intentional journals and conferences. He served as the Organizing, Publicity and Publication Chair of ICEDSA-2016 and the organizing chair of ICECTA 2017 and ICECTA 2019. He also was involved in organizing several other conferences and workshops. He received the Best Paper Award for the paper entitled “Auto calibration in drift aware wireless sensor networks using the interacting multiple model algorithm,” and his paper entitled “Towards limb position invariant myoelectric pattern recognition using time-dependent spectral features” was chosen as a Notable Article in Computing in 2014 in the 19th Annual Best of Computing by Computing Reviews. In addition to that, he received AURAK’s president Award on the Distinguished New Scholar category (2015) and on the Exceptional Academic Service category (2016).
- PhD, Electrical Engineering (Computing and Communications), University of Technology, Sydney, Australia, 2010.
- Graduate Certificate, Research Commercialization, University of Technology, Sydney, Australia, 2009.
- MSc, Electrical Engineering / Communications, The University of Jordan, Jordan, 2004.
- BSc, Electrical Engineering, The University of Jordan, Jordan, 1998.
Research Interests:
- Wireless sensor networks and their applications.
- Signal and image processing for biomedical applications.
- Data fusion, localization, target tracking and estimation.
- Machine learning, pattern recognition.
- Image and video processing.
- Computer and communications networks.
Journals Papers
- A.K. El Allam, A. -H. M. Jallad, M. Awad, M. Takruri and P. R. Marpu, “A Highly Modular Software Framework for Reducing Software Development Time of Nanosatellites,” in IEEE Access, vol. 9, pp. 107791-107803, 2021, doi: 10.1109/ACCESS.2021.3097537.
- M.Takruri, M. Farhat, S. Sunil, J.A. Ramos-Hernanz and O. Barambones, “Support Vector Machine for Photovoltaic System Efficiency Improvement”, Journal of Sustainable Development of Energy, Water and Environment Systems, vol.8, no. 3, pp. 441-451, 2020.
- M.Takruri, A. Abubakar, Noora Al Naqbi, Hessa Al Shehhi, Abdul-Halim M. Jallad and A. Bermak, ” DoFP-ML: A Machine Learning Approach to Food Quality Monitoring Using a DoFP Polarization Image Sensor,” in IEEE Access, vol. 8, pp. 150282 – 150290, 2020.
- A.Abubakar, X. Zhao, M. Takruri, E. Bastaki and A. Bermak, “A Hybrid Denoising Algorithm of BM3D and KSVD for Gaussian Noise in DoFP Polarization Images,” in IEEE Access, vol. 8, pp. 57451-57459, 2020.
- M.Takruri, M. Farhat, O. Barambones, J. Ramos-Hernanz, M.J. Turkieh, M. Badawi, H. AlZoubi and M. Abdus Sakur, “Maximum Power Point Tracking of PV System Based on Machine Learning,” Energies, MDPI, vol. 13, no. 3, 692, Feb 2020.
- M.Takruri, S. Ismail, M. Awad, M. Al-Hattab and N. Hamad “A Comparative Study of Energy Consumption Required for Localization in Wireless Sensor Networks,” International Journal on Communications Antenna and Propagation (IRECAP), vol. 9, no. 4, p301-310, Aug 2019.
- M.Takruri, M. Abu Mahmoud and A. Al-Jumaily, “PSO-SVM Hybrid System for Melanoma Detection from Histo-pathological Images,” the International Journal of Electrical and Computer Engineering (IJECE), Vol. 9, Issue 4, Part 2, p2941-2950, Aug 2019.
- N.Hamad, M. Takruri and M. Barhoush, “Wavelet Based Multicarrier CDMA System,” the International Journal of Electrical and Computer Engineering (IJECE), Vol. 9, Issue 4, Part 2, p3051-3059, Aug 2019.
- Mohammed Awad, Mohamad Ali and Maen Takruri, “Security vulnerabilities related to web-based data”, TELKOMNIKA, vol. 17, no. 2, April 2019.
- Abubakar Abubakar, Xiaojin Zhao, Shiting Li, Maen Takruri, Eesa Bastaki and Amine Bermak, “A Block-Matching and 3-D filtering algorithm for Gaussian noise in DoFP polarization images”, IEEE Sensors Journal, vol. 18, no. 18, 7429-7435, Sep 2018.
- Hussain A. Attia, Amjad Omar, Maen Takruri and Halah Y Ali,, “Pulse Width Modulation Based Decentralized Street LED Light Dimming System”, International Journal of Power Electronics and Drive Systems, vol. 8, no. 3, pp1238-1247, 2017.
- Maen Takruri, Hussain A. Attia and Mohamad Hussam Awad, “Wireless Charging in the Context of Sensor Networks”, International Journal of Applied Engineering Research, vol. 11, no. 12, pp. 7736-7741, 2016.
- Hussain A. Attia and Maen Takruri, “RFID Code Wireless Transceiver System Based on Amplitude Shift Keying Modulation”, International Journal of Applied Engineering Research, vol. 11, no. 10, pp 7155-7158, 2016.
- Takruri, R. Al-Hmouz, A. Al-Hmouz and M. Momani, “Fuzzy C Means Based Hybrid Classifiers For Offline Recognition Of Handwritten Indian (Arabic) Numerals”, International Journal of Applied Engineering Research, vol. 10, no. 1, pp. 1911-1924, January, 2015.
- Momani, M. Takruri and R. Al-Hmouz, “Risk Assessment Algorithm in Wireless Sensor Networks using Beta Distribution,” The International Journal of Computer Networks & Communications, vol. 6, no. 5, pp. 157-166, September, 2014.
- Khushaba, M. Takruri, J. Mario and S. Kodagoda , “Toward Limb Position Invariant Myoelectric Pattern Recognition Using Local-Global Time-Dependant Spectral Features,” Neural Networks Journal, Elsevier, vol 55, pp. 42-58, July, 2014.
- Al-Hmouz, M. Momani and M. Takruri, “Trust and Reputation Analysis in Fading Wireless Sensor Network Channel,” Journal of Life Science, vol. 10, no. 4, pp. 310-318, December, 2013.
- Abu Mahmoud, A. Al-Jumaily and M. Takruri, “Wavelet and Curvelet Analysis for Automatic Identification of Melanoma Based on Neural Network Classification,” International Journal of Computer Information Systems and Industrial Management Applications, vol. 5, pp. 606-614, 2013.
- Khushaba, M. Takruri, S. Kodagoda and G. Dissanayake, “Toward Improved Control of Prosthetic Fingers Using Surface Electromyogram (EMG) Signals,” Expert Systems with Applications, Elsevier, Sep 2012.
- Al-Hattab, M. Takruri and J. Agbinya, “Mobility Prediction using Pattern Matching,” The international Journal of Electrical and Computer Sciences, vol. 12, no. 3, 2012.
- Takruri, S. Rajasegarar, S. Challa, C. Leckie, and M. Palaniswami, “Spatio-Temporal Modelling Based Drift Aware Wireless Sensor Networks,” IET Wireless Sensor Systems, vol. 1, no. 2, pp. 110-122, June 2011.
- Takruri, S. Challa, and R. Chakravorty, “Recursive Bayesian Approaches for Auto Calibration in Drift Aware Wireless Sensor Networks,” Journal of Networks, vol. 5, no. 7, pp. 823–832, July 2010.
Conference Proceedings
- Abubakar Abubakar, Xiaojin Zhao, Maen Takruri, Eesa Bastaki and Amine Bermak, “A Hybrid Denoising Algorithm for DoFP Polarization Image Sensors ”, Proceedings of the 2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA), Nov, 2019.
- Abubakar Abubakar, Maen Takruri, Noora Al Naqbi, Hessa Al Shehhi, Wafaa Ba Hutair and Amine Bermak, “Performance Evaluation of Gaussian Noise Denoising Algorithms for DoFP Polarization Image Sensors”, Proceedings of the 2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA), Nov, 2019.
- Hussain A. Attia, Amjad Omar and Maen Takruri, “Lookup Table Based Comparative Study in Energy Saving for Street Lighting System Applications,” Proceedings of the 2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA), Nov, 2019.
- Abubakar Abubakar, Xiaojin Zhao, Maen Takruri, Eesa Bastaki and Amine Bermak, “BM3D Filtering Algorithm for DoFP Polarization Image Sensors”, Proceedings of the 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), Nov 2018.
- Mohammad Kaiser Azad, Sihab Uddin and Maen Takruri, “Support vector regression based electricity peak load forecasting,” Proceedings of the 2018 11th International Symposium on Mechatronics and its Applications (ISMA), Mar, 2018.
- Maen Takruri and Abubakar Abubakar, “Bayesian decision fusion for enhancing melanoma recognition accuracy,” Proceedings of the 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA), Nov, 2017.
- Hussain A. Attia, Amjad Omar and Maen Takruri, “Design and implementation of wireless diagnostic system for street light dimming applications,” Proceedings of the 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA), Nov, 2017.
- Mohammad Al-Hattab, Maen Takruri, Hussain Attia and Huthaifa Al-Omari, “Decentralized localization in wireless sensor networks,” Proceedings of the 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA), Nov, 2017.
- Maen Takruri and Maram W Rashad, “Automatic Non-Invasive Recognition of Melanoma Using Support Vector Machines A Study Based on the Grey Level Co-occurrence Matrices (GLCM) and Color Features,” Proceedings of the 2016 International Conference on Bio-engineering for Smart Technologies (BioSMART), Dec, 2016.
- Maen Takruri, Maram W Rashad and Hussain Attia , “Multi-classifier decision fusion for enhancing melanoma recognition accuracy,” Proceedings of the 2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA), Dec, 2016.
- Hussain A Attia, Maen Takruri and Halah Y Ali, “Electronic monitoring and protection system for drunk driver based on breath sample testing,” Proceedings of the 2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA), Dec, 2016.
- Hussain A Attia, Amjad Omar and Maen Takruri , “Design of decentralized street LED light dimming system,” Proceedings of the 2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA), Dec, 2016.
- Takruri, A. Al-Jumaily and M. Abu Mahmoud , “Automatic Recognition of Melanoma Using Support Vector Machines: A Study Based on Wavelet, Curvelet and Color Features,” Proceedings of the International Conference on Industrial Automation, Information and Communications Technology (IAICT 2014), Aug, 2014.
- Takruri, R. Al-Hmouz and A. Al-Hmouz, “Three Level Classification: Fuzzy C Means, Support Vector Machine and Unique Pixels for Arabic Handwritten Digits”, Proceedings of the World Symposium on Computer Applications & Research (WSCAR), Jan, 2014.
- Abu Mahmoud, A. Al-Jumaily and M. Takruri, “The Automatic Identification of Melanoma by Wavelet and Curvelet Analysis: Study Based on Neural Network Classification,” Proceedings of the Eleventh International Conference on Hybrid Intelligent Systems (HIS2011), December 2011.
- Takruri, S. Challa, and R. Yunis, “Data Fusion Techniques for Auto Calibration in Wireless Sensor Networks,” Proceedings of the 12th International conference on information fusion (Fusion 2009), Seattle, USA, July 2009.
- Takruri, S. Challa, and R. Chakravorty, “Auto calibration in drift aware wireless sensor networks using the interacting multiple model algorithm,” Mosharaka International Conference on Communications, Computers and Applications (MIC-CCA 2008), Jordan, July 2008. (Best Paper Award).
- Takruri, S. Rajasegarar, S. Challa, C. Leckie, and M. Palaniswami, “Online drift correction in wireless sensor networks using spatio-temporal modelling,” Proceedings of the 11th International conference on information fusion (Fusion 2008), Cologne, Germany, July 2008.
- Takruri and S. Challa, “Drift aware wireless sensor networks,” Proceedings of the 10th the International conference on information fusion (Fusion 2007), Quebec City, Canada, July 2007.
- Takruri and D. Abu-Al-Nadi. “Fractal Image Compression using Neural Networks in Frequency Domain”. Proceedings of ICECS 2003, University of Sharjah, UAE, December 2003.
Book Chapters:
- Takruri, and S. Challa, “Data Fusion Approach for Error Correction in Wireless Sensor Networks,” in Wireless Sensor Networks: Application-Centric Design, Geoff V Merret and Yen Kheng Tan, Ed. , pp. 353–372, InTech, December, 2010.
- Takruri, K. Aboura, and S. Challa, “Distributed recursive algorithm for auto calibration in drift aware wireless sensor networks,” in Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering, K. Elleithy, Ed. , pp. 21–25, Springer, 2008.
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