Muhammad Sadiq Fareed

Muhammad Sadiq Fareed
Xi'an Jiaotong University | XJTU · School of Electronics and Information Engineering

Doctor of Engineering

About

34
Publications
8,072
Reads
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523
Citations
Introduction
Dr. Sadiq Fareed is currently working as a Post-doctoral fellow at Computer Vision and Pattern Recognition Lab in School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an, China. Previously, he completed a Ph.D. in Communication and Information from Xi'an Jiaotong University. He is mainly interested in developing effective computer vision algorithms that are inspired by the human vision and human learning procedure. Currently, he is working on developing weakly supervised learning systems for computer vision tasks like object detection, segmentation, and license plate detection. He is also working on computational visual attention modeling and its application in computer vision tasks like remote sensing image analysis and video content analysis.
Additional affiliations
October 2017 - December 2020
Xi'an Jiaotong University
Position
  • PostDoc Position
September 2014 - July 2017
Xi'an Jiaotong University
Position
  • Researcher
September 2014 - September 2017
Xi'an Jiaotong University
Position
  • Research Associate
Education
February 2011 - August 2013
COMSATS University Islamabad
Field of study
  • Electrical Engineering
June 2008 - August 2010
University of Karachi
Field of study
  • Electronics

Publications

Publications (34)
Article
Full-text available
A divorce is a legal step taken by married people to end their marriage. It occurs after a couple decides to no longer live together as husband and wife. Globally, the divorce rate has more than doubled from 1970 until 2008, with divorces per 1,000 married people rising from 2.6 to 5.5. Divorce occurs at a rate of 16.9 per 1,000 married women. Acco...
Article
Full-text available
Citation: Raza, A.; Munir, K.; Almutairi, M.; Younas, F.; Fareed, M.M.S. Predicting Employee Attrition Using Machine Learning Approaches. Appl. Sci. 2022, 12, 6424.
Article
Full-text available
COVID-19 is a widely spread disease, and in order to overcome its spread, vaccination is necessary. Different vaccines are available in the market and people have different sentiments about different vaccines. This study aims to identify variations and explore temporal trends in the sentiments of tweets related to different COVID-19 vaccines (Covax...
Article
Full-text available
An Intrabody Nanonetwork (IBNN) is composed of integrated nanoscale devices, implanted inside the human body to collect diagnostic information and tuning medical treatments. The non-invasive continuous monitoring and precision of these nanoscale devices in the diagnostic of diverse diseases is improving advanced monitoring, therapeutic, and telemed...
Article
Full-text available
License plate detection for vehicle identification is one of the key problems for traffic surveillance in urban areas. Most of the existing methods that can handle multiple license plates are country-specific as color information has been typically targeted. In this paper, we propose a real-time multiple license plate detection method feasible for...
Article
Full-text available
Wireless Sensor Network (WSN) is an emerging technology that has attractive intelligent sensor-based applications. In these intelligent sensor-based networks, control-overhead management and elimination of redundant inner-network transmissions are still challenging because the current WSN protocols are not data redundancy-aware. The clustering arch...
Article
Full-text available
Underwater Acoustic Network (UAN) is an emerging technology with attractive applications. In such type of networks, the control-overhead, redundant inner-network transmissions management, and data-similarity are still very challenging. The cluster-based frameworks manage the control-overhead and redundant inner-network transmissions persuasively. H...
Article
Only a few methods in literature are effective for multi-national license plate detection in a multi-lane scenario. These methods are prone to illumination variance, complex background and weak-edged license plates. In this paper, we propose a novel illumination invariant method to handle multi-national vehicle license plates of different colors an...
Article
Full-text available
The Internet of Underwater Things (IoUT) is an evolving class of Internet of Things and it is considered the basic unit for the development of smart cities. To support the idea of IoUT, an Underwater Sensor Network (USN) has emerged as a potential technology that has attractive and updated applications for underwater environment monitoring. In such...
Article
Full-text available
Low-rank representation-based frameworks are becoming popular for the saliency and the object detection because of their easiness and simplicity. These frameworks only need global features to extract the salient objects while the local features are compromised. To deal with this issue, we regularize the low-rank representation through a local graph...
Article
Full-text available
Image saliency detection is a very helpful step in many computer vision-based smart systems to reduce the computational complexity by only focusing on the salient parts of the image. Currently, the image saliency is detected through representation-based generative schemes, as these schemes are helpful for extracting the concise representations of t...
Conference Paper
The verification of vehicle License Plates (LPs) has not been given much importance in existing LP recognition systems as only a handful of methods deal with this problem explicitly. For an efficient system, it is imperative that a detected LP is validated first before the recognition of characters on it. Majority of the existing methods make use o...
Article
Full-text available
Wireless Body Area Network (WBAN) is designed to provide a variety of services for both medical and entertainment applications. This paper proposes a Priority-based Energy-efficient Routing Algorithm (PERA) for WBAN. In PERA, first priority is assigned for emergency data, second priority is used for on demand data traffic and third priority is util...
Article
Many methods for multinational License Plate Detection (LPD) have been proposed in recent times but most of them are not sophisticated enough to handle complex backgrounds. Moreover, their ability to handle various environmental and illumination conditions has been limited and still needs improvement. In this paper, we propose a novel technique to...
Article
Full-text available
Automatic salient object detection from a cluttered image, by using prior information of the objects in the related image, enhance the accuracy of object regions detection which is very useful for many computer vision applications. In this work, we introduce a new bottom-up approach for salient ob ject detection by incorporating multi-features colo...
Article
Sparse reconstruction based saliency detection methods are gaining popularity for object detection and content-based image recovery due to its simplicity and easy understandability. It helps in extracting concise representations of the stimuli and capture high-level semantics in visual information with a few active coefficients. Different from the...
Article
Full-text available
The longer network lifetime of Wireless Sensor Networks (WSNs) is a goal which is directly related to energy consumption. This energy consumption issue becomes more challenging when the energy load is not properly distributed in the sensing area. The hierarchal clustering architecture is the best choice for these kind of issues. In this paper, we i...
Article
Full-text available
In this paper, we propose a real time multiple license plate detection algorithm for dense traffic conditions which is of vital importance in this modern era due to increased traffic congestion. The chromatic component of YDbDr color space is proposed to detect the blue regions whereas a simple yet effective color detection method is used to identi...
Article
Full-text available
Hierarchical clustering technique is an effectual topology control methodology in Wireless Sensor Networks (WSNs). This technique is used to increase the life time of the network by reducing the number of transmissions towards the base station. We propose and validate a new routing protocol termed as Sleep-awake Energy Efficient Distributed (SEED)...
Conference Paper
Full-text available
In this survey, we review the current research on Wireless Body Area Sensor Networks (WBASNs). This technology is playing key role in different aspects of life such as entertainment, emergency services, sports and medical health care applications. We identify the issues of WBASNs for medical and health care services. Different techniques and severa...
Conference Paper
Full-text available
The structure and magnetic properties of ferromagnetic Tbi-xGdxFe2 system have been studied through the morphotropic phase boundary (MPB), a phase boundary between two ferroic phases of different crystal symmetry. Morphotropic phase boundary (MPB) has been studied extensively for its extraordinary enhancement effect in ferroelectrics. Based on same...
Article
Full-text available
In this paper, we propose a new routing protocol for heterogeneous Wireless Body Area Sensor Networks (WBASNs); Mobility-supporting Adaptive Threshold-based Thermal-aware Energy-efficient Multi-hop ProTocol (M-ATTEMPT). A prototype is defined for employing heterogeneous sensors on human body. Direct communication is used for real-time traffic (crit...
Article
In this paper, we compare problems of cluster formation and cluster-head selection between different protocols for data aggregation and transmission. We focus on two aspects of the problem: (i) how to guess number of clusters required to proficiently consume available sources for a sensor network, and (ii) how to select number of cluster-heads to c...
Article
The advent and development in the field of Wireless Sensor Networks (WSNs) in recent years has seen the growth of extremely small and low-cost sensors that possess sensing, signal processing and wireless communication capabilities. These sensors can be expended at a much lower cost and are capable of detecting conditions such as temperature, sound,...

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