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Christine Julien - IEEE Xplore Author Profile

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Author details

Christine Julien

Also published under: C. Julien

Publications

89

Citations

743

Publications by Year

20022024

Co-Authors:

Hamim Md AdalNoa AgmonTsz-Chiu AuMarco AutiliTom Baranowski

Show All Co-Authors (103)

Christine Julien

Also published under: C. Julien

Affiliation

School of Computing, Macquarie University

Publication Topics

Federated Learning,
Learning Algorithms,
Learning Opportunities,
Computational Resources,
Local Data,
Machine Learning,
Central Server,
Computational Capabilities,
Contact Tracing,
Decentralized Learning,
Mobile Devices,
Docker Image

Biography

Christine Julien is a full professor at the University of Texas at Austin, Austin, Texas, 78712, USA. Her research interests include mobile and pervasive computing, middleware, and context-aware computing. Julien received a D.Sc. in computer science from Washington University, Saint Louis. She is a Senior Member of IEEE. Contact her at c.julien@utexas.edu.(Based on document published on 25 October 2022).

Publications

89

Citations

743

Publications by Year

20022024

Co-Authors:

Hamim Md Adal
Noa Agmon
Tsz-Chiu Au
Marco Autili
Tom Baranowski

Show All Co-Authors (103)

Author's Published Works

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Showing 1-25 of 27 results

Conferences (22)

Journals (5)

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Maen Takruri(26)
Abubakar Abubakar(8)
Amine Bermak(7)
Subhash Challa(4)
Xiaojin Zhao(4)
American University of Ras Al Khaimah, Ras Al Khaimah, UAE(4)
Department of Electrical Engineering, United Arab Emirates University, Al Ain, United Arab Emirates(3)
Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong(3)
Group 42, Abu Dhabi, United Arab Emirates(2)
College of Electronic Science and Technology, Shenzhen University, Shenzhen, China(2)
IEEE Access(4)
2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)(3)
2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)(3)
2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA)(3)
10th IEEE International Conference on Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003(1)
IEEE(27)
Ras Al Khaimah, United Arab Emirates(10)
Sharjah, United Arab Emirates(2)
Amman, Jordan(1)
Bali, Indonesia(1)
Cologne, Germany(1)
Polarization Imaging(7)
Sensor Networks(7)
Digital Images(6)
Median Filter(6)
Gaussian Noise(5)

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Adaptive Method to Estimate Link Budget Parameters in Wireless Networks

Mohammad Al-Hattab;Maen Takruri

2022 9th International Conference on Internet of Things: Systems, Management and Security (IOTSMS)

Year: 2022 | Conference Paper |

Cited by: Papers (2)

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Localization is crucial for sensor nodes to functionally operate in a sensor network. It becomes more challenging when the nodes are mobile in an area where the GPS coverage is unreliable. The transmission path between the transmitter and the receivers defines the way the signal propagates and therefore the resulting received signal strength. Most sensor nodes use the measured Received Signal Stre...Show More

Adaptive Method to Estimate Link Budget Parameters in Wireless Networks

Mohammad Al-Hattab;Maen Takruri

2022 9th International Conference on Internet of Things: Systems, Management and Security (IOTSMS)

Year: 2022 | Conference Paper |

Design and Implementation of Decentralized Streetlight Dimming System for Different Motion Sensor Strengths and Unlimited Light Poles

Hussain Attia;Maen Takruri;Amjad Omar

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)

Year: 2022 | Conference Paper |

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Due to the negative impact of the high energy consumption of street lighting systems that is represented by the high level of CO2 emissions and its consequences on global warming, this paper proposes an adaptive traffic dependent street light dimming system. The presented system adopts the decentralized strategy for unlimited number of light poles. Through this study, an automatic light dimming sy...Show More

Design and Implementation of Decentralized Streetlight Dimming System for Different Motion Sensor Strengths and Unlimited Light Poles

Hussain Attia;Maen Takruri;Amjad Omar

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)

Year: 2022 | Conference Paper |

Machine Learning-Based Estimation of PM2.5 Concentration Using Ground Surface DoFP Polarimeters

Maen Takruri;Abubakar Abubakar;Abdul-Halim Jallad;Basel Altawil;Prashanth R. Marpu;Amine Bermak

Year: 2022 | Volume: 10 | Journal Article |

Cited by: Papers (2)

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In this paper, we propose a machine learning system for the estimation of atmospheric particulate matter (PM) concentration, specifically, particles with a maximum diameter of

$2.5{\mu }\text{m}$ . These very fine particles, also known as PM2.5 particles, are very dangerous to the human body as they are small enough to penetrate deep areas of the vital organs. The proposed system uses a combinati...Show More

Machine Learning-Based Estimation of PM2.5 Concentration Using Ground Surface DoFP Polarimeters

Maen Takruri;Abubakar Abubakar;Abdul-Halim Jallad;Basel Altawil;Prashanth R. Marpu;Amine Bermak

Year: 2022 | Volume: 10 | Journal Article |

A Highly Modular Software Framework for Reducing Software Development Time of Nanosatellites

Aisha K. El Allam;Abdul-Halim M. Jallad;Mohammed Awad;Maen Takruri;Prashanth R. Marpu

Year: 2021 | Volume: 9 | Journal Article |

Cited by: Papers (8)

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The standardization of the physical aspects of nanosatellites (also known as CubeSats) and their wide adoption in academia and industry has made the mass production and availability of off-the-shelf components possible. While this has led to a significant reduction in satellite development time, the fact remains that a considerable amount of mission development time and effort continues to be spen...Show More

A Highly Modular Software Framework for Reducing Software Development Time of Nanosatellites

Aisha K. El Allam;Abdul-Halim M. Jallad;Mohammed Awad;Maen Takruri;Prashanth R. Marpu

Year: 2021 | Volume: 9 | Journal Article |

DoFP-ML: A Machine Learning Approach to Food Quality Monitoring Using a DoFP Polarization Image Sensor

Maen Takruri;Abubakar Abubakar;Noora Alnaqbi;Hessa Al Shehhi;Abdul-Halim M. Jallad;Amine Bermak

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (13)

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Good nutrition is an important part of leading a healthy lifestyle. This has brought into stark focus the need for efficient and low-cost methods for large scale food quality assessment. This article proposes a non-invasive and non-destructive system for estimating the freshness of apples using polarization images from a Division-of-Focal-Plane (DoFP) polarization camera. The proposed system uses ...Show More

DoFP-ML: A Machine Learning Approach to Food Quality Monitoring Using a DoFP Polarization Image Sensor

Maen Takruri;Abubakar Abubakar;Noora Alnaqbi;Hessa Al Shehhi;Abdul-Halim M. Jallad;Amine Bermak

Year: 2020 | Volume: 8 | Journal Article |

A Hybrid Denoising Algorithm of BM3D and KSVD for Gaussian Noise in DoFP Polarization Images

Abubakar Abubakar;Xiaojin Zhao;Maen Takruri;Eesa Bastaki;Amine Bermak

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (15)

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In this paper, we present a hybrid denoising algorithm dedicated to division-of-focal plane (DoFP) polarization images. The proposed algorithm, centered around the Block-Matching and 3D Filtering (BM3D) and K-times Singular Value Decomposition (KSVD) denoising algorithms, is capable of significantly enhancing the grouping step in the second round of collaborative filtering by purifying the “Semi-F...Show More

A Hybrid Denoising Algorithm of BM3D and KSVD for Gaussian Noise in DoFP Polarization Images

Abubakar Abubakar;Xiaojin Zhao;Maen Takruri;Eesa Bastaki;Amine Bermak

Year: 2020 | Volume: 8 | Journal Article |

Performance Evaluation of Gaussian Noise Denoising Algorithms for DoFP Polarization Image Sensors

Abubakar Abubakar;Maen Takruri;Noora Al Naqbi;Hessa Al Shehhi;Wafaa Ba Hutair;Amine Bermak

2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA)

Year: 2019 | Conference Paper |

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This paper compares the performance of the reported denoising algorithms for Division-of-Focal-Plane (DoFP) polarization image sensors. While the reported denoising algorithms each covered analysis on interpolated images in their respective publications, analysis was not extended to less sightseen parameters, namely Fully Polarized and Unpolarized images, which are other derivatives from Stokes pa...Show More

Performance Evaluation of Gaussian Noise Denoising Algorithms for DoFP Polarization Image Sensors

Abubakar Abubakar;Maen Takruri;Noora Al Naqbi;Hessa Al Shehhi;Wafaa Ba Hutair;Amine Bermak

2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA)

Year: 2019 | Conference Paper |

A Hybrid Denoising Algorithm for DoFP Polarization Image Sensors

Abubakar Abubakar;Xiaojin Zhao;Maen Takruri;Eessa Bastaki;Amine Bermak

2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA)

Year: 2019 | Conference Paper |

Cited by: Papers (1)

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In this paper, we present a hybrid denoising algorithm for division-of-focal-plane (DoFP) polarization image sensors, which is based on Block-Matching and 3D Filtering (BM3D) and K-times Singular Value Decomposition (KSVD) denoising algorithms. The proposed algorithm employs the KSVD denoising algorithm to improve the “First Estimate” image in BM3D algorithm, which dictates the second round of gro...Show More

A Hybrid Denoising Algorithm for DoFP Polarization Image Sensors

Abubakar Abubakar;Xiaojin Zhao;Maen Takruri;Eessa Bastaki;Amine Bermak

2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA)

Year: 2019 | Conference Paper |

Lookup Table Based Comparative Study in Energy Saving for Street Lighting System Applications

Hussain Attia;Amjad Omar;Maen Takruri

2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA)

Year: 2019 | Conference Paper |

Cited by: Papers (1)

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Street dimming light systems have been proposed in many studies for energy saving. Based on this fact, this paper investigates the possibility of desired schemes of light dimming based on lookup table process and presents a comparative analysis in terms of electronic design and power enhancement with respect to each scheme. Pulse width modulation technique is adopted though a Boost DC-DC converter...Show More

Lookup Table Based Comparative Study in Energy Saving for Street Lighting System Applications

Hussain Attia;Amjad Omar;Maen Takruri

2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA)

Year: 2019 | Conference Paper |

BM3D Filtering Algorithm for DoFP Polarization Image Sensors

Abubakar Abubakar;Xiaojin Zhao;Maen Takruri;Eesa Bastaki;Amine Bermak

2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)

Year: 2018 | Conference Paper |

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In this paper, we present a Block Matching and 3D filtering (BM3D) algorithm dedicated to the division-of-focal-plane (DoFP) polarization image sensors. This method, based on grouping and a non-local filtering method named collaborative filtering, exploits all the different polarization channels simultaneously. Extensive experimental results on the test images show that the algorithm outperforms a...Show More

BM3D Filtering Algorithm for DoFP Polarization Image Sensors

Abubakar Abubakar;Xiaojin Zhao;Maen Takruri;Eesa Bastaki;Amine Bermak

2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)

Year: 2018 | Conference Paper |

A Block-Matching and 3-D Filtering Algorithm for Gaussian Noise in DoFP Polarization Images

Abubakar Abubakar;Xiaojin Zhao;Shiting Li;Maen Takruri;Eesa Bastaki;Amine Bermak

IEEE Sensors Journal

Year: 2018 | Volume: 18, Issue: 18 | Journal Article |

Cited by: Papers (45)

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In this paper, we present a block-matching and 3-D filtering (BM3D) algorithm dedicated to the division-of-focal-plane (DoFP) polarization images. This algorithm based on a non-local collaborative filtering method is capable of exploiting all the different polarization channels simultaneously. Compared with the previously reported implementations for DoFP sensors, the proposed algorithm attenuates...Show More

A Block-Matching and 3-D Filtering Algorithm for Gaussian Noise in DoFP Polarization Images

Abubakar Abubakar;Xiaojin Zhao;Shiting Li;Maen Takruri;Eesa Bastaki;Amine Bermak

IEEE Sensors Journal

Year: 2018 | Volume: 18, Issue: 18 | Journal Article |

Support vector regression based electricity peak load forecasting

Mohammad Kaiser Azad;Sihab Uddin;Maen Takruri

2018 11th International Symposium on Mechatronics and its Applications (ISMA)

Year: 2018 | Conference Paper |

Cited by: Papers (19)

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Electricity load demand forecasting is integral for planning and execution of various projects vital to urban development. It is highly essential for safe operation of power systems and to prevent power failures in future. This paper discusses the use of machine learning strategies, specifically, Support Vector Machines, for predicting future peak load demand based on historical data. Support Vect...Show More

Support vector regression based electricity peak load forecasting

Mohammad Kaiser Azad;Sihab Uddin;Maen Takruri

2018 11th International Symposium on Mechatronics and its Applications (ISMA)

Year: 2018 | Conference Paper |

Design and implementation of wireless diagnostic system for street light dimming applications

Hussain A. Attia;Amjad Omar;Maen Takruri

2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)

Year: 2017 | Conference Paper |

Cited by: Papers (3)

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Modern street lighting systems are demonstrating capability of saving energy through light dimming in the case of no vehicle motion. Continuous monitoring of street lamps is essential to ensure the reliability of street lighting systems. This study presents a new electronic design and implantation of a wireless diagnostic system which is capable of continuously measuring the lamp current and detec...Show More

Design and implementation of wireless diagnostic system for street light dimming applications

Hussain A. Attia;Amjad Omar;Maen Takruri

2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)

Year: 2017 | Conference Paper |

Bayesian decision fusion for enhancing melanoma recognition accuracy

Maen Takruri;Abubakar Abubakar

2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)

Year: 2017 | Conference Paper |

Cited by: Papers (7)

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This paper studies the problem of automated noninvasive skin cancer (melanoma) detection from digital images of skin lesions. It proposes the use of Bayesian Decision Fusion of a multiple of classifiers to enhance the melanoma detection rates. A comparison with other decision fusion systems along with standalone classifiers in terms of accuracy and confidence intervals is made. The relation betwee...Show More

Bayesian decision fusion for enhancing melanoma recognition accuracy

Maen Takruri;Abubakar Abubakar

2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)

Year: 2017 | Conference Paper |

Decentralized localization in wireless sensor networks

Mohammad Al-Hattab;Maen Takruri;Hussain Attia;Huthaifa Al-Omari

2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)

Year: 2017 | Conference Paper |

Cited by: Papers (3)

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Localization is an imperative stage in building a routing matrix between nodes in Wireless Sensors Network (WSN). It is essential for exchanging the measured Data in the network and making informed conclusions. This paper reviews the localization techniques for Wireless Sensor Networks Nodes. It presents a mathematical model for finding sensors locations based on Received Signal Strength Indicator...Show More

Decentralized localization in wireless sensor networks

Mohammad Al-Hattab;Maen Takruri;Hussain Attia;Huthaifa Al-Omari

2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)

Year: 2017 | Conference Paper |

Automatic non-invasive recognition of melanoma using Support Vector Machines

Maram W. Rashad;Maen Takruri

2016 International Conference on Bio-engineering for Smart Technologies (BioSMART)

Year: 2016 | Conference Paper |

Cited by: Papers (10)

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This paper proposes an automated non-invasive system for skin cancer (melanoma) detection based on Support Vector Machine classification. The proposed system uses a number of features extracted from the Grey Level Co-occurrence Matrices (GLCM) of the gray-scale skin lesion images, and color features obtained from the original color images. The dataset used include digital images for skin lesions t...Show More

Automatic non-invasive recognition of melanoma using Support Vector Machines

Maram W. Rashad;Maen Takruri

2016 International Conference on Bio-engineering for Smart Technologies (BioSMART)

Year: 2016 | Conference Paper |

Multi-classifier decision fusion for enhancing melanoma recognition accuracy

Maen Takruri;Maram W. Rashad;Hussain Attia

2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)

Year: 2016 | Conference Paper |

Cited by: Papers (8)

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This paper proposes an automated non-invasive multi-classifier system for skin cancer (melanoma) detection. The proposed system fuses the results obtained from three classification systems to enhance the melanoma detection rate. All of the classification systems use Support Vector Machine classifier. However, the image feature sets used in each classification system are different. The features set...Show More

Multi-classifier decision fusion for enhancing melanoma recognition accuracy

Maen Takruri;Maram W. Rashad;Hussain Attia

2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)

Year: 2016 | Conference Paper |

Design of decentralized street LED light dimming system

Hussain A. Attia;Amjad Omar;Maen Takruri

2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)

Year: 2016 | Conference Paper |

Cited by: Papers (11)

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To reduce power consumption due to street lighting, we propose replacing conventional power consuming High Pressure Sodium Lamps and metal Halide lamps with LED lamps which consume much less power. We also propose employing LED light dimming by modifying the light intensity based on the traffic conditions on the road. Most of the dimming systems currently deployed on the streets use computerized a...Show More

Design of decentralized street LED light dimming system

Hussain A. Attia;Amjad Omar;Maen Takruri

2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)

Year: 2016 | Conference Paper |

Electronic monitoring and protection system for drunk driver based on breath sample testing

Hussain A. Attia;Maen Takruri;Halah Y. Ali

2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)

Year: 2016 | Conference Paper |

Cited by: Papers (5)

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This paper focuses on the problem of drunk driver which is represent one of the major reasons for traffic accidents during the last decades. Alcohol negatively affects the drunk driver judgment abilities and driving skills. Many engineering solutions have been proposed to reduce the consequences of drunk driving. However, most of these solutions were based on a certain type of control units or tho...Show More

Electronic monitoring and protection system for drunk driver based on breath sample testing

Hussain A. Attia;Maen Takruri;Halah Y. Ali

2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)

Year: 2016 | Conference Paper |

Automatic recognition of melanoma using Support Vector Machines: A study based on Wavelet, Curvelet and color features

Maen Takruri;Adel Al-Jumaily;Mohamed Khaled Abu Mahmoud

2014 International Conference on Industrial Automation, Information and Communications Technology

Year: 2014 | Conference Paper |

Cited by: Papers (9)

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This paper proposes an automated non-invasive system for skin cancer (melanoma) detection based on Support Vector Machine classification. The proposed system uses a number of features extracted from the Wavelet or the Curvelet decomposition of the grayscale skin lesion images and color features obtained from the original color images. The dataset used include both digital images and Dermoscopy ima...Show More

Automatic recognition of melanoma using Support Vector Machines: A study based on Wavelet, Curvelet and color features

Maen Takruri;Adel Al-Jumaily;Mohamed Khaled Abu Mahmoud

2014 International Conference on Industrial Automation, Information and Communications Technology

Year: 2014 | Conference Paper |

A three-level classifier: Fuzzy C Means, Support Vector Machine and unique pixels for Arabic handwritten digits

Maen Takruri;Rami Al-Hmouz;Ahmed Al-Hmouz

2014 World Symposium on Computer Applications & Research (WSCAR)

Year: 2014 | Conference Paper |

Cited by: Papers (4)

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In this study, we present a classification approach for handwritten Arabic digits (symbols). Like numbers in other languages, Arabic numbers consists of nine digits. Character images of Arabic digits are similar in the sense that one single classifier will not give a reliable classification rate. Therefore, the implementation of more levels of classification is important for the realization. We in...Show More

A three-level classifier: Fuzzy C Means, Support Vector Machine and unique pixels for Arabic handwritten digits

Maen Takruri;Rami Al-Hmouz;Ahmed Al-Hmouz

2014 World Symposium on Computer Applications & Research (WSCAR)

Year: 2014 | Conference Paper |

The automatic identification of melanoma by wavelet and curvelet analysis: Study based on neural network classification

Md. Khalad Abu Mahmoud;Adel Al-Jumaily;Maen Takruri

2011 11th International Conference on Hybrid Intelligent Systems (HIS)

Year: 2011 | Conference Paper |

Cited by: Papers (19) | Patents (1)

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This paper proposes an automatic skin cancer (melanoma) classification system. The input for the prosed system is a collected data images, it followed by different image processing procedures to enhance the image properties. Two segmentation methods used to identify the normal skin cancer from malignant skin and to extract the useful information from these images that passed to the classifier for ...Show More

The automatic identification of melanoma by wavelet and curvelet analysis: Study based on neural network classification

Md. Khalad Abu Mahmoud;Adel Al-Jumaily;Maen Takruri

2011 11th International Conference on Hybrid Intelligent Systems (HIS)

Year: 2011 | Conference Paper |

Data fusion techniques for auto calibration in wireless sensor networks

Maen Takruri;Subhash Challa;Ramah Yunis

2009 12th International Conference on Information Fusion

Year: 2009 | Conference Paper |

Cited by: Papers (4)

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Wireless sensor networks are deployed for the purpose of sensing and monitoring an area of interest. Sensor measurements in sensor networks usually suffer from both random errors (noise) and systematic errors (drift and bias). Even when the sensors are properly calibrated at the time of deployment, they develop errors in their readings leading to erroneous inferences to be made by the network. In ...Show More

Data fusion techniques for auto calibration in wireless sensor networks

Maen Takruri;Subhash Challa;Ramah Yunis

2009 12th International Conference on Information Fusion

Year: 2009 | Conference Paper |

Auto calibration in drift aware wireless sensor networks using the interacting multiple model algorithm

Maen Takruri;Subhash Challa;Rajib Chakravorty

2008 Mosharaka International Conference on Communications, Computers and Applications

Year: 2008 | Conference Paper |

Cited by: Papers (6)

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The purpose for wireless sensor networks is to deploy low cost sensors with sufficient computing and communication capabilities to support networked sensing applications. The emphasis on lower cost led to sensors that are less accurate and less reliable than their wired sensor counterparts. Sensors usually suffer from both random and systematic bias problems. Even when the sensors are properly cal...Show More

Auto calibration in drift aware wireless sensor networks using the interacting multiple model algorithm

Maen Takruri;Subhash Challa;Rajib Chakravorty

2008 Mosharaka International Conference on Communications, Computers and Applications

Year: 2008 | Conference Paper |

Online drift correction in wireless sensor networks using spatio-temporal modeling

Maen Takruri;Sutharshan Rajasegarar;Subhash Challa;Christopher Leckie;Marimuthu Palaniswami

2008 11th International Conference on Information Fusion

Year: 2008 | Conference Paper |

Cited by: Papers (7)

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Wireless sensor networks are deployed for the purpose of sensing and monitoring an area of interest. Sensors in the sensor network can suffer from both random and systematic bias problems. Even when the sensors are properly calibrated at the time of their deployment, they develop drift in their readings leading to erroneous inferences being made by the network. The drift in this context is defined...Show More

Online drift correction in wireless sensor networks using spatio-temporal modeling

Maen Takruri;Sutharshan Rajasegarar;Subhash Challa;Christopher Leckie;Marimuthu Palaniswami

2008 11th International Conference on Information Fusion

Year: 2008 | Conference Paper |

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