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.

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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

 

 

 

Dr. Shree Krishna Acharya | Wireless Sensor Network Award | Telecommunication Trailblazer Award

Dr. Shree Krishna Acharya | Wireless Sensor Network Award | Telecommunication Trailblazer Award

Dr. Shree Krishna Acharya, University College Dublin, Ireland

Dr. Shree Krishna Acharya is a distinguished Research Scientist at University College Dublin, Ireland 🎓. He holds a Ph.D. in Electronics Engineering, specializing in short-term forecasting using artificial intelligence for distributed energy resources (DERs) in power systems, and a Master’s focusing on uncertainty analysis and short-term forecasting of residential energy consumption 📜. Dr. Acharya’s professional experience includes leading AI-based projects at UCD, such as live streaming marine vessel detection and anomaly detection in vessel tracking 🔬. His previous roles include postdoctoral research at Mokpo National University, where he enhanced forecasting models and developed reinforcement learning systems. Proficient in AI programming, containerized solutions, and statistical analysis, Dr. Acharya’s research interests span AI-based forecasting, energy resource management, wireless communication systems, and data science 💻.

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🎓 Education

  • Ph.D. in Electronics Engineering: Specialized in short-term forecasting using artificial intelligence, focusing on distributed energy resources (DERs) in power systems. (2017-2022)
  • Master’s in Electronics Engineering: Focused on uncertainty analysis and short-term forecasting of residential energy consumption. (2015-2017)

📜 Certification

  • IBM Data Science Professional Certificate: Certified expertise in data science methodologies and tools.

🔬 Professional Experience

  • Research Scientist at University College Dublin (UCD), Dublin, Ireland (02/2023 – Present): Leading AI-based projects including live streaming marine vessel detection, anomaly detection in vessel tracking, and developing geo-spatial tracking systems. Proficient in AI frameworks, containerized solutions, and data processing with significant contributions to network efficiency and consortium collaborations.
  • Postdoctoral Researcher/PhD Researcher at Mokpo National University, Mokpo, South Korea (09/2015 – 02/2023): Enhanced forecasting models and accuracy in energy consumption and PV systems, developed reinforcement learning models, and improved wireless communication systems. Published research findings and contributed to advancements in AI and statistical models.

💻 Technical Skills

  • Proficient in AI programming (CNN, Keras, TensorFlow, PyTorch)
  • Experienced in developing and deploying containerized solutions (Docker)
  • Skilled in REST API deployment, MQTT, WebRTC, and Python scripting
  • Expertise in statistical analysis and machine learning models for energy forecasting

🔍 Research Interests

  • AI-based short-term forecasting
  • Energy resource management
  • Wireless communication systems
  • Data science and machine learning applications

Publication Top Notes: