ALPER ÖZPINAR

Integrating Scope 3 Emissions into Smart City Reference Architectures: A Pathway to Sustainable Urban Ecosystems

Hybrid Architectural Approach for Energy Monitoring in Geothermal Fluid Lines: Integrating Next-Generation ICT for Optimized Thermal Flow Management

Biography

He obtained his Ph.D. in Mechanical Engineering from Yildiz Technical University, MS in Systems Engineering from Yeditepe University, and BS in Chemical Engineering from Bogazici University, all located in Istanbul, Turkey. His field of expertise includes the application of various computer and information systems to different fields of engineering, especially artificial intelligence, machine learning, energy, demand side management, environmental health and safety, renewable energy sources, industrial automation and control, automatic data collection systems, systems modeling, and simulation. He has twenty years of experience in computer and software applications and has served as a consultant and a project manager for government organizations like the European Union, Ministry of Forestry and Environment, and Greater Municipality of Istanbul, as well as for companies like ABB, Toyota, Bosch, and Siemens. He is offering courses like Cloud Computing, Machine Learning, Artificial Intelligence, and Programming with different programming languages, such as ASP.NET, VB.NET, C++, Java, and Database Systems. He has a vast experience in artificial intelligence applications, such as smart grids, machine learning, artificial neural networks, artificial intelligence, fuzzy logic, and genetic algorithm applications. He has worked on neural networks, energy applications, active and passive RFID tags, readers and controllers, and RFID technology expert, especially on electronic vehicle identification. He has developed numerous projects and software applications with MS Azure, MS Access, Visual Basic, C#, ASP, and VB.NET in automotive, textiles, services sector, health sector, and various fields of engineering. He is also one of the authors of the Electrical Energy Technologies and Energy Efficiency Series and published book chapters. His recent studies are based on industrial applications of Cloud Computing, Big Data, Industry 4.0, IoT, Digital Twin, machine learning, and artificial intelligence on different platforms.