Ms. Sahar Salaheldeen abdelgader abbas | Wireless Sensor Networks | Best Researcher Award

Ms. Sahar Salaheldeen abdelgader abbas | Wireless Sensor Networks | Best Researcher Award

Ms. Sahar Salaheldeen abdelgader abbas | Southeast University | China

🌟 Sahar Salaheldeen Abdelgader Abbas holds an MSc (Honours) in Electronics and Communications Engineering from Yildiz Technical University, Istanbul, Turkey πŸŽ“. Her research focuses on wireless networks πŸ“‘, IoT 🌐, machine learning πŸ€–, and wireless communications πŸ“Ά. Passionate about continuous learning πŸ“š, she thrives on challenges and embraces new skills with enthusiasm. πŸš€ Sahar’s academic journey includes impactful research on energy efficiency in wireless sensor networks and LTE-A technologies, contributing to esteemed publications. ✍️ Self-motivated, communicative, and driven, she aims to expand her expertise while pursuing innovative solutions in modern communication systems. πŸ’‘

Professional Profile:

Google Scholar

Suitability for Best Researcher Award

Sahar Salaheldeen Abdelgader Abbas is highly suitable for the Best Researcher Award due to her impactful contributions in the fields of wireless networks, IoT, machine learning, and wireless communications. With an MSc (Honours) in Electronics and Communications Engineering from Yildiz Technical University, her academic foundation is solid, and her research work focuses on energy efficiency in wireless sensor networks and LTE-A technologies. These areas are crucial for advancing the capabilities and sustainability of modern communication systems.

Education πŸ“– & Experience πŸ‘©β€πŸ’ΌΒ 

  • πŸ“œ MSc (Honours) in Electronics & Communications Engineering, Yildiz Technical University, Turkey (2018–2021) – CGPA: 3.57/4.00
    • Thesis: “Increasing Energy Efficiency of WSNs Through Optimization of Mobile Base Station Locations”
    • Supervisor: Assoc. Prof. Tansal GUCLUOGLU
  • 🎯 BSc (Honours) in Electronics Engineering Technology, University of Gezira, Sudan (2013–2018) – CGPA: 3.85/4.00
    • Thesis: “Analysis of Cell Downlink Throughput for Intra-Band Contiguous Deployment in LTE-A Release 10”
    • Supervisor: Assoc. Prof. Abdallah A. Osman
  • 🏫 Secondary School, Alandalus Private School, Sudan (2011–2013) – Grade: 85.3%
  • πŸ“ Published research articles in applied sciences and international conferences
  • πŸ” Conducted advanced research on wireless sensor networks and LTE-A technologies

Professional DevelopmentΒ 

πŸš€ Sahar is committed to continuous professional growth through academic research and active participation in scientific conferences 🌍. She has co-authored papers on wireless sensor networks and LTE-A technologies, contributing to global discussions on energy efficiency πŸ“‘ and optimization techniques. Her dedication to lifelong learning πŸ“š drives her to explore emerging trends in IoT 🌐, machine learning πŸ€–, and wireless communications πŸ“Ά. With strong analytical skills and a passion for innovation πŸ’‘, Sahar embraces every challenge as an opportunity to enhance her knowledge and make a meaningful impact in the tech industry. ✨

Research FocusΒ 

πŸ”¬ Sahar’s research focuses on wireless networks πŸ“‘, IoT 🌐, and machine learning πŸ€–, with a special interest in optimizing energy efficiency for wireless sensor networks (WSNs) ⚑. Her work explores advanced techniques to enhance network performance through mobile base station placement optimization πŸš€. Additionally, she investigates LTE-A technologies πŸ“Ά, focusing on downlink throughput analysis for next-generation networks. Sahar’s research contributes to the development of sustainable communication systems 🌱, bridging theoretical models with real-world applications. Her innovative mindset fosters continuous exploration of emerging technologies and their impact on future wireless communication infrastructures. 🌍

Awards & Honors πŸ†

  • πŸ… Honours Degree in MSc & BSc with outstanding CGPA
  • πŸ“œ Published in peer-reviewed journals and international conferences
  • 🌟 Recognized for contributions to energy-efficient wireless communication research

Publication Top Notes:

⚑ Increasing Energy Efficiency of WSNs Through Optimization of Mobile Base Station Locations Β πŸ“‘ Cited by 2
πŸ“‘ Optimizing Mobile Base Station Placement for Prolonging Wireless Sensor Network Lifetime in IoT Applications
πŸ“Ά Analysis of Cell Downlink Throughput for Intra-Band Contiguous Deployment in LTE-A Release 10

 

 

 

Assist Prof Dr. Apostolos Xenakis | Wireless Sensor Network | Excellence in Research

Assist Prof Dr. Apostolos Xenakis | Wireless Sensor Network | Excellence in Research

Assist Prof Dr. Apostolos Xenakis, University of Thessaly, Greece

Dr. Xenakis, an Assistant Professor at the University of Thessaly’s Department of Digital Systems, holds dual Master’s degrees in Computer Science from the University of Thessaly and Essex University, and a Ph.D. from the University of Thessaly, specializing in energy optimization in Wireless Sensor Networks. His extensive teaching portfolio includes courses in Physics, Digital Image Processing, and Digital Systems Security. Dr. Xenakis also boasts a diverse professional background with roles at the Ministry of National Defense, the Olympic Games Venue (2004), and VODAFONE S.A. His research interests encompass Wireless Sensor Networks, IoT, Fog Networks, and network optimization, with practical applications in precision agriculture and smart pharmaceutical manufacturing.

Professional Profile:

Google Scholar
Orcid
Scopus

Suitability for the Excellence in Research:

Dr. Apostolos Xenakis is a highly qualified candidate for the Excellence in Research Award, given his extensive academic background, research experience, and professional contributions to the fields of Wireless Sensor Networks (WSNs), Internet of Things (IoT), and Fog Networks. His work has demonstrated a consistent focus on innovation, particularly in the optimization of energy consumption in WSNs, which is critical for advancing modern communication systems.

Academic Background:

Dr. Xenakis holds two Master’s degrees in Computer Science, specializing in Telecommunications and Networks, from the University of Thessaly, Greece, and Essex University, U.K. He also earned a Ph.D. from the University of Thessaly, where his thesis focused on optimizing energy consumption in Wireless Sensor Networks (WSNs) through network topology control methods. This solid educational foundation in computer science and engineering has equipped him with the knowledge and skills required for high-impact research.

Teaching Experience:

Dr. Xenakis has extensive teaching experience, currently serving as an Assistant Professor at the Department of Digital Systems, University of Thessaly. He teaches a variety of courses, including Physics, Digital Image Processing, and Digital System’s Security. His teaching career also includes numerous adjunct lecturer roles at the University of Thessaly and other institutions, covering subjects such as Telecommunications, Computer Science, and Digital Systems.

Professional Experience:

Dr. Xenakis has a robust professional background in networks and communications, including roles at the Ministry of National Defense, the Olympic Games Venue (2004), and VODAFONE S.A. His work has ranged from technical support and troubleshooting to telecom traffic analysis, providing him with practical industry experience that complements his academic pursuits.

Research Interests and Contributions:

Dr. Xenakis’ research focuses on Wireless Sensor Networks (WSNs), Internet of Things (IoT), Fog Networks, and optimization techniques for computer and telecommunication network design. His research is notable for its practical applications, such as precision agriculture and smart pharmaceutical manufacturing.

Publication Top Notes:

  • Title: Topology Optimization in Wireless Sensor Networks for Precision Agriculture Applications
    • Citations: 77
    • Year: 2007
  • Title: Smart Pharmaceutical Manufacturing: Ensuring End-to-End Traceability and Data Integrity in Medicine Production
    • Citations: 60
    • Year: 2021
  • Title: Towards Distributed IoT/Cloud Based Fault Detection and Maintenance in Industrial Automation
    • Citations: 47
    • Year: 2019
  • Title: The Use of LEGO Mindstorms in Elementary Schools
    • Citations: 35
    • Year: 2017
  • Title: Cross-layer Energy-aware Topology Control through Simulated Annealing for WSNs
    • Citations: 26
    • Year: 2016