Istanbul Commerce University Faculty Member

Dr. Alper ÖZPINAR obtained his Ph.D. in Mechanical Engineering from Yıldız Technical University, MSc. in Systems Engineering from Yeditepe University, and BS in Chemical Engineering from Boğaziçi University, all located in Istanbul, Türkiye.

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 as a project manager for government organizations such as European Union, Ministry of Forestry and Environment, and Istanbul Metropolitan Municipality, as well as for companies such as 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.

Dr. ÖZPINAR has a significant 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 using MS Azure, MS Access, Visual Basic, C#, ASP, and VB.NET for automotive, textile, services, and health sectors, and for 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.