Mohamed Abdelaal

Stuttgart, Baden-Württemberg, Deutschland
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I am an AI Architect for Adabas & Natural at Software AG, driving AI innovation and…

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Aktivitäten

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Berufserfahrung und Ausbildung

  • Software AG

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Bescheinigungen und Zertifikate

Ehrenamt

  • Made In Egypt (MIE) Grafik

    Assistant moderator of the judgment team

    Made In Egypt (MIE)

    – 1 Jahr 11 Monate

    Wissenschaft und Technologie

    The main duties are to

    - supervise the judgment team coordinators,
    - handle the communication with the judges throughout the different evaluation phases, and
    - assist in preparing the final result.

  • Made In Egypt (MIE) Grafik

    Team coordinator

    Made In Egypt (MIE)

    – 1 Jahr 8 Monate

    Wissenschaft und Technologie

    - The contest aims at developing prototypes for new products with the signature "Made in Egypt".

    - The main duties are to handle the communication with a number of competing teams ad guide them throughout the different phases of the contest.

  • Session chair

    Egyptian Engineering Day (EEd)

    – 3 Jahre 1 Monat

    Wissenschaft und Technologie

    - The event highlights the creative and innovative solutions brought by the young engineers and keep up with what’s going on in Egypt though the graduation project exhibition, competitions, sessions, and workshops.

    - The main duty is to chair different session within the event's activities.

  • Port Said Engineering Day Grafik

    Vice chairman

    Port Said Engineering Day

    – 3 Jahre 11 Monate

    Wissenschaft und Technologie

    - I proposed and participate in organizing this event to shrink the gap between Port Said University and the industry sector.

    The main duties are as follow

    - forming the structure of the organizing team,
    - handling the judgment team to evaluate the participated teams,

  • Reviewer

    IEEE Access Journal

    –Heute 8 Jahre

    Wissenschaft und Technologie

    I review some of the submitted papers to the IEEE Access Journal.

  • Reviewer

    ACM Symposium on Principles of Distributed Computing (PODC)

    –Heute 10 Jahre 3 Monate

    Wissenschaft und Technologie

  • Reviewer

    International Workshop on Mobile Applications 2018 (MobiApp)

    –Heute 8 Jahre

    Wissenschaft und Technologie

  • Reviewer

    Smart Cities Symposium

    –Heute 8 Jahre

    Wissenschaft und Technologie

  • Reviewer

    Pervasive and Mobile Computing Journal, Elsevier

    –Heute 7 Jahre 10 Monate

    Wissenschaft und Technologie

  • Reviewer

    International Symposium on Wearable Computers (ISWC)

    –Heute 7 Jahre 8 Monate

    Wissenschaft und Technologie

    I review technical papers with highlighting their strengths and weaknesses.

Veröffentlichungen

  • liteDTW: A Lightweight Dynamic Time Warping for Tiny Sensing Devices

    The IEEE International Conference on Wireless Sensors (ICWiSE)

    Wireless sensor networks have been recognized as promising tools to collect relevant, in-situ data for a wide range of application domains. However, such networks suffer from hard constraints including the allocated resources. Hence, current research endeavors strive to minimize the amount of data that has to be transmitted. This is typically achieved via data fusing or sending some nodes to sleep mode whenever their readings exhibit a high degree of spatio/temporal correlation. Accordingly…

    Wireless sensor networks have been recognized as promising tools to collect relevant, in-situ data for a wide range of application domains. However, such networks suffer from hard constraints including the allocated resources. Hence, current research endeavors strive to minimize the amount of data that has to be transmitted. This is typically achieved via data fusing or sending some nodes to sleep mode whenever their readings exhibit a high degree of spatio/temporal correlation. Accordingly, the degree of correlation can be considered as a metrics for data filtering. The Dynamic time warping (DTW) algorithm is a “natural” candidate for data fusion and correlation estimation at intermediate sensor nodes via matching the various measured readings. However, the DTW algorithm suffers from the excessive computational overhead which is ill-suited for the “resources-taxed” sensor nodes. This work aims at reducing this burden via refining the implementation procedure of the DTW algorithm. The liteDTW is a novel version of the DTW algorithm with linear operations and fuzzy abstraction. The core idea is to reduce the DTW matrix dimensions via shrinking the input patterns. Several simulations and real experiments have been conducted to validate that the liteDTW algorithm excels over the naive one in terms of accuracy, time and space overhead. Moreover, the Cooja simulator of the Contiki OS has been utilized to assess the energy profit of adopting the liteDTW algorithm for data fusion.

    Andere Autor:innen
    • Peter Nazier Mosaad
    • Oliver Theel

  • FuzzyCAT: A Lightweight Fuzzy Compression Adaptive Transform for Wireless Sensor Networks

    The Workshop on Next Generation Green ICT in conjunction with IEEE International Conference on Communications (ICC 2015)

    This paper aims at developing a novel high precision compression method. Based on the previously developed Fuzzy Transform Compression (FTC), we design and implement a modified version of the algorithm, referred to as Fuzzy Compression Adaptive Transform (FuzzyCAT). The underlying idea of FuzzyCAT is to adapt the transform parameters to the signal's curvature inferred from the time derivatives. FuzzyCAT outperforms the original FTC while preserving its favorable qualities like periodicity and…

    This paper aims at developing a novel high precision compression method. Based on the previously developed Fuzzy Transform Compression (FTC), we design and implement a modified version of the algorithm, referred to as Fuzzy Compression Adaptive Transform (FuzzyCAT). The underlying idea of FuzzyCAT is to adapt the transform parameters to the signal's curvature inferred from the time derivatives. FuzzyCAT outperforms the original FTC while preserving its favorable qualities like periodicity and resilience to lost packets. It also shows a competitive edge over the Lightweight Temporal Compression (LTC) method. A series of experiments with a network of TelosB sensor nodes revealed that transmission costs of the FuzzyCAT algorithm are much less than that of LTC at the expense of a slight increase in processing power. This makes it an outstanding candidate for data compression in wireless sensor networks.

    Andere Autor:innen
    • Vasilisa Bashlovkina
    • Oliver Theel
    Veröffentlichung anzeigen

  • Poster Abstract: FuzzyCAT: A Novel Procedure for Refining the F-transform Based Sensor Data Compression

    The 14th International Conference on Information Processing in Sensor Networks (IPSN ’15)

    The paper introduces a novel approach of engineering an energy-efficient method while offering a reasonable service quality. The category of time-driven applications is targeted, in this paper, to explain the proposed strategy. In such category, continuous readings have to be periodically reported to a sink. Hence, data compression is an "excellent" candidate for reducing the data traffic. The Fuzzy-transform-based compression is employed to mitigate the data flooding and then ideas for…

    The paper introduces a novel approach of engineering an energy-efficient method while offering a reasonable service quality. The category of time-driven applications is targeted, in this paper, to explain the proposed strategy. In such category, continuous readings have to be periodically reported to a sink. Hence, data compression is an "excellent" candidate for reducing the data traffic. The Fuzzy-transform-based compression is employed to mitigate the data flooding and then ideas for refining the recovery accuracy are investigated. The performance evaluations revealed the ability of our proposed strategy to highly save energy and improve other application-relevant QoS metrics.

    Andere Autor:innen
    • Vasilisa Bashlovkina
    • Oliver Theel
    Veröffentlichung anzeigen

  • Reliable Virtual Sensing for Wireless Sensor Networks

    The IEEE 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)

    Several “energy-hungry” sensors such as gas detectors, radar, and cameras have excessive energy dissipation. Virtual sensing is a technique which “breaks the downward spiral” between energy expenditure and events-miss probabilities. The idea is to deactivate main sensors and utilize a set of energy-friendly HW & SW components instead. However, reliability of such systems composed of virtual and real sensors should be as high as possible. In this article, a novel approach is proposed to improve…

    Several “energy-hungry” sensors such as gas detectors, radar, and cameras have excessive energy dissipation. Virtual sensing is a technique which “breaks the downward spiral” between energy expenditure and events-miss probabilities. The idea is to deactivate main sensors and utilize a set of energy-friendly HW & SW components instead. However, reliability of such systems composed of virtual and real sensors should be as high as possible. In this article, a novel approach is proposed to improve the virtual sensing reliability. An ontology on sensor-environment relationships is utilized to automatically generate rules before deployment to switch between real and virtual sensors. We illustrate the general approach by a case study: we show how reliable virtual sensing reduces the energy consumption and event-miss probabilities of object tracking applications. Seismic sensors and a dynamic time-warping algorithm shape the virtual object tracking sensor. We validate the precision of such virtual sensors over several experiments. A series of experiments with a network of TelosB sensor nodes show that virtual sensors have much less energy consumption than a Doppler µ-radar (main) sensor. Finally, we evaluate event-miss probabilities and lifetime extension by using the WSNet simulator.

    Andere Autor:innen
    Veröffentlichung anzeigen

  • Fuzzy Compression Refinement via Curvature Tracking

    Frontiers of Formal Methods

    The paper presents a novel idea for refining the transform-based compression techniques. The intuition is to reduce the recovery error while offering high compression ratios. The proposed method adapts the transform parameters in accordance with the signal curvature, which could be inferred from the signal derivatives. The FuzzyCAT compression method has been invoked as an example of transform-based compressors.

    Veröffentlichung anzeigen

  • Distributed Techniques for Energy Conservation in Wireless Sensor Networks

    Doctoral Consortium in conjunction with the 4th International Conference on Sensor Networks (SENSORNETS)

    The paper introduces new research directions for the energy efficiency problem in WSNs. Moreover, the paper elaborates on novel approaches such as the virtual sensing, virtual wake-up receivers, Fuzzy-based compression, and the proactive adaptations.

    Veröffentlichung anzeigen

  • Recent Energy-Preservation Endeavors for Long-Life Wireless Sensor Networks: A Concise Survey

    Eleventh International Conference on Wireless and Optical Communications Networks (WOCN 2014)

    Energy consumption remains the dominant limitation in most sensor networks. An outsized and growing body of literature has investigated the energy-efficiency problem. In general, energy is afforded either through preserving the already allocated energy sources such as batteries or super-capacitors; or through harvesting energy from the environment; or by utilizing both approaches. In this paper, we highlight the recent research efforts for saving the allocated energy. A unique taxonomy of…

    Energy consumption remains the dominant limitation in most sensor networks. An outsized and growing body of literature has investigated the energy-efficiency problem. In general, energy is afforded either through preserving the already allocated energy sources such as batteries or super-capacitors; or through harvesting energy from the environment; or by utilizing both approaches. In this paper, we highlight the recent research efforts for saving the allocated energy. A unique taxonomy of energy-saving techniques dedicated to sensor networks is provided. Therefore, this paper represents an excellent source for new researchers in this field. Moreover, we present our recent developed approaches within the same context including exploiting the concepts of virtual detection and Fuzzy transform for optimizing the power consumed by sensing and radio communication units, respectively.

    Andere Autor:innen
    • Oliver Theel
    Veröffentlichung anzeigen

  • EAVS: Energy Aware Virtual Sensing for Wireless Sensor Networks

    The 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)

    In order to extend the operational span of wireless sensor networks, we propose to trade energy consumption for average response time by extending the deactivation periods of sensors with a particularly high energy consumption. To compensate for the temporal unavailability of these sensors, alternative, low-power hybrid sensors generate estimates on the probabilities of the occurrence of interesting events, waking up the corresponding main sensor when detection probability justifies it. We…

    In order to extend the operational span of wireless sensor networks, we propose to trade energy consumption for average response time by extending the deactivation periods of sensors with a particularly high energy consumption. To compensate for the temporal unavailability of these sensors, alternative, low-power hybrid sensors generate estimates on the probabilities of the occurrence of interesting events, waking up the corresponding main sensor when detection probability justifies it. We demonstrate the principle on a case study of gas detection and analyze its efficiency formally using probabilistic model checking, which is able to compute probabilistic quantified properties pertaining to energy consumption, lifetime expectancy, and response time. The preliminary results confirm significant savings in energy consumption while retaining an acceptable average response time.

    Andere Autor:innen
    Veröffentlichung anzeigen

  • An Efficient and Adaptive Data Compression Technique for Energy Conservation in Wireless Sensor Networks

    The IEEE Conference on Wireless Sensor (ICWISE)

    The paper aims to reduce the communication energy consumption in WSNs. The core idea is to fuse the readings by converting them into a special space. In such a space, the measurements are represented by a small vector elements. However, data compression suffers from the long incurred delay due to forming the compression window. The contribution of this paper is twofold: we adapt the compression resolution in accordance with the significance of the data being measured. Second, we employ…

    The paper aims to reduce the communication energy consumption in WSNs. The core idea is to fuse the readings by converting them into a special space. In such a space, the measurements are represented by a small vector elements. However, data compression suffers from the long incurred delay due to forming the compression window. The contribution of this paper is twofold: we adapt the compression resolution in accordance with the significance of the data being measured. Second, we employ thresholding-based framework as a decision-making algorithm to whether send the actual measurements or the compressed version. The criterion of such a decision is the data significance. Through extensive simulations, we verified the ability of the proposed method in highly reducing the radio energy consumption.

    Andere Autor:innen
    • Oliver Theel
    Veröffentlichung anzeigen

  • Power Management in Wireless Sensor Networks: Challenges and Solutions

    The 2013 International Conference in Central Asia on Internet (ICI 2013)

    This paper provides a novel taxonomy of various energy conservation techniques applied to sensor networks applications in recent times. Moreover, we present our novel approaches in the same context including utilizing virtual sensors and local adaptive data compression based on the so-called Fuzzy Transform.

    Andere Autor:innen
    • Oliver Theel
    Veröffentlichung anzeigen
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Kurse

  • Embedded System Design

    -

  • Green WSNs Technologies

    -

  • Neural Networks and Deep Learning

    DeepLearning.AI

  • Wireless Sensor Networks Design

    -

Projekte

  • iEnergy--An IoT Infrastructure for Smart Energy Management

    –Heute

    The iEnergy project funded by the Federal Ministry of Education and Research (BMBF) and in cooperation with the German University in Cairo (GUC). The core idea of iEnergy is to design a hardware/software IoT architecture for managing energy on city-scale. To this end, we develop novel energy non-intrusive meters which can monitor the per-appliance energy consumption and then report these readings to cloud services via opportunistic mobile gateways.

  • ComNSense

    –Heute

    The ComNSense Project, funded by the German Research Foundation (DFG), focuses on the development of a universal method for the automated generation of interior models by mobile sensors. Furthermore, we also focus on more general domains that cover the automatic acquisition of all kind of sensor data from mobile devices.

    Projekt anzeigen

  • SCARE

    –

    SCARE - System Correctness under Adverse Conditions - addresses wireless sensing systems that are placed in an environment with which they cooperate. System correctness means that the cooperation between environment and system satisfies desired behavioral properties. SCARE systematically investigates the problem of system correctness under adverse, only partially predictable conditions which can influence the behavior of the system, the system context, and the assumptions made for verifying…

    SCARE - System Correctness under Adverse Conditions - addresses wireless sensing systems that are placed in an environment with which they cooperate. System correctness means that the cooperation between environment and system satisfies desired behavioral properties. SCARE systematically investigates the problem of system correctness under adverse, only partially predictable conditions which can influence the behavior of the system, the system context, and the assumptions made for verifying correctness.

    Projekt anzeigen

Auszeichnungen/Preise

  • Port Said University Excellence Award

    Port Said University

    Port Said University Excellence Award for obtaining the master degree on time with many high-quality published articles.

  • Jelecom Excellence Award

    Jelecom (Engineering training centre)

    Certificate of merit for academic excellence and distinction throughout the BSc study and the pratical training

  • Suez Canal University Excellence Award

    Suez Canal University

    Suez Canal University Excellence Award for achieving the 1st place on the faculty of Engineering, the Electronics & Communication Department

  • Mobinil Excellence Award

    Mobinil (The Egyptian Company for Mobile Services)

    Mobinil Excellence Award for achieving the 1st place on the faculty of Engineering, the Electronics & Communication Department

Sprachen

  • English

    Verhandlungssicher

  • Arabic

    Muttersprache oder zweisprachig

  • German

    Gute Kenntnisse

Organisationen

  • IEEE

    -

    –Heute

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