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Ms. Shereen Ismail, IoT Applications, Best Researcher Award

Shereen Ismail at University of North Dakota, United States

Ms. Shereen Ismail is a highly qualified professional with a Master’s Degree (MSc.) in Computer Engineering and Networks from the University Of Jordan, Jordan, and a Bachelor’s Degree (BSc.) in Computer Engineering from the same university. She has a strong academic background with a focus on wireless sensor networks and computer engineering. Shereen has extensive teaching experience in various computer science and engineering subjects and has also worked as a Lab Supervisor and Technical Support Engineer. She holds several certifications related to computer systems and network management, showcasing her expertise in the field. Shereen is fluent in both Arabic (native) and English (fluent) languages.

Profile:

Education:

Master’s Degree (MSc.) in Computer Engineering and Networks

  • Institution: University Of Jordan, Jordan
  • Year: 2012
  • GPA: 3.36 out of 4.00
  • Thesis Title: “Efficient Techniques For Mobile Target Tracking In Wireless Sensor Networks”

Bachelor’s Degree (BSc.) in Computer Engineering

  • Institution: University Of Jordan, Jordan
  • Year: 2005
  • GPA: 3.32 out of 4.00
  • Graduation Project Title: “Performance Evaluation Of University Of Jordan Network”
Professional Experience:

Instructor and Lecturer: At the American University of Ras Al Khaimah in the UAE, Ms. Ismail has been an Instructor for courses like C++ programming, Computer Architecture, Embedded Systems, Digital Logic Design, Electrical Circuits, Microprocessors, and MATLAB laboratories. She also taught Computer Networks, Electrical Circuits, Programming using C++, Operating Systems, Communication Systems, and Numerical Methods at Al-Zaytoonah Private University in Jordan.

Lab Supervisor: During her tenure at the Applied Science University in Jordan, Ms. Ismail served as a Lab Supervisor, overseeing activities related to Electrical Circuits, Digital Electronics, Digital Logic Design, Computer Networks, Microprocessor, and Assembly Language labs.

Technical Support Engineer: Ms. Ismail gained hands-on experience as a Technical Support Engineer during her training at the Royal Scientific Society in Jordan, where she focused on computer maintenance and network troubleshooting.

Coordinator and Representative: Demonstrating her leadership skills, Ms. Ismail took on roles such as Institutional Effectiveness (IE) Coordinator for the School of Engineering at the American University of Ras Al Khaimah and Instructors Representative in the Faculty Senate, where she contributed to organizational and academic initiatives.

Research Interest:

Wireless Sensor Networks (WSNs): Investigating efficient techniques and protocols for mobile target tracking and data transmission in WSNs, with a focus on enhancing network performance, energy efficiency, and reliability.

Internet of Things (IoT) Security: Exploring IoT security challenges and solutions, including secure communication protocols, data encryption, access control mechanisms, and anomaly detection in IoT networks.

Computer Networks: Researching advanced concepts in computer networks such as network protocols, routing algorithms, network management, and quality of service (QoS) optimization for enhanced network performance and reliability.

Embedded Systems Design: Studying design methodologies for embedded systems, including hardware-software co-design, real-time operating systems (RTOS), low-power design techniques, and applications in IoT and robotics.

Digital Signal Processing (DSP): Investigating DSP algorithms and techniques for signal analysis, filtering, and processing in applications such as image processing, audio processing, and communication systems.

Machine Learning and Artificial Intelligence (AI): Exploring AI and machine learning models for data analysis, pattern recognition, and predictive analytics, with applications in computer vision, natural language processing (NLP), and data-driven decision-making.

Publication Top Noted:

Performance evaluation of selective and adaptive heads clustering algorithms over wireless sensor networks

  • Authors: KA Darabkh, SS Ismail, M Al-Shurman, IF Jafar, E Alkhader, …
  • Journal: Journal of Network and Computer Applications
  • Volume: 35
  • Issue: 6
  • Pages: 2068-2080
  • Cited by: 92
  • Year: 2012

Dynamic selection techniques for detecting GPS spoofing attacks on UAVs

  • Authors: T Talaei Khoei, S Ismail, N Kaabouch
  • Journal: Sensors
  • Volume: 22
  • Issue: 2
  • Pages: 662
  • Cited by: 48
  • Year: 2022

Static clustering for target tracking in wireless sensor networks

  • Authors: SS Ismail, AI Al Khader, KA Darabkh
  • Journal: Global Journal on Technology (Selected Paper of COMENG-2014)
  • Volume: 8
  • Pages: 167-173
  • Cited by: 29
  • Year: 2015

A comparative study of machine learning models for cyber-attacks detection in wireless sensor networks

  • Authors: S Ismail, TT Khoei, R Marsh, N Kaabouch
  • Conference: 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile …
  • Pages: 23
  • Cited by: 23
  • Year: 2021

Evaluation of naïve Bayesian algorithms for cyber-attacks detection in wireless sensor networks

  • Authors: S Ismail, H Reza
  • Conference: 2022 IEEE World AI IoT Congress (AIIoT)
  • Pages: 283-289
  • Cited by: 21
  • Year: 2022
Shereen Ismail | IoT Applications | Best Researcher Award

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