a partner (for my project)

I am a professor in Industrial Engineering with expertise in DBMS, Lean Manufacturing, and AI Applications. My recent research includes projects such as:

Leak Detection in Water Distribution Networks with Artificial Learning and Data-Driven Models, Sakarya University (Project No: 2024-25-59-143), 2024, budget: 70,000 TL.
Improving the Qualifications of Tradesmen and Craftsmen in the Manufacturing Industry, Eastern Marmara Development Agency (TR42/18/TD), 2019.
Teaching Lean Production Principles Using Simulation Games, TÜBİTAK Project (No: 118B099), 2018, budget: 120,000 TL.
Development of Heuristic Modelling Platforms for Multi-Station Manufacturing Sites, TÜBİTAK Project (No: 1190128), 2020-2022, budget: 2,865,434 TL.

Recent Publications:
Detection of Defects on Highways Followed by Logistics Transport Trucks with Deep Learning, 2023 ASYU Conference.
Deep-learning-based Floor Path Model for Route Tracking of Autonomous Vehicles, Systems 10 (3).
When AI Meets Store Layout Design: A Review, Artificial Intelligence Review 55 (7).
Internet of Things Enabled Real-Time Cold Chain Monitoring in a Container Port, Journal of Shipping and Trade 7 (1).

Expertise / skills
Decision Support Systems, Business Intelligence, Data Analysis, Data Mining, Machine Learning, Deep Learning, Database Management, Expert Systems, Multi Agent System, Indoor Positioning Systems, Indoor Autonomous Vehicles, Digital Transformation, Industry 4.0, IIOT.

Topic 2. Urban water circularity
Topic 3. Resource recovery and valorization

Water leakage leakage data SCADA sections and other records are stored. Data was recorded from water administration institutions in provinces such as Sakarya, Antalya and Tekirdağ. It is planned to visit water trade related institutions in these provinces and conduct field field research with domestic and international assignments. This ability pilot field research will be carried out as Sakarya, Antalya and Tekirdağ. The presence of different sections of the field will also be widely distributed and increase its contribution. A field study abroad develops and contributes to other comparisons and evaluations of countries. It will facilitate the acceptance of the publications to be prepared in standard and prestigious journals.

The basic areas of expertise that partners should work on are that researchers in cities in different European countries collect data from their own regions and conduct studies similar to those mentioned here.

Expertise / skills
Decision Support Systems, Business Intelligence, Data Analysis, Data Mining, Machine Learning, Deep Learning, Database Management, Positioning Systems, Industry 4.0, IIOT.

keywords: water distribution system, water distribution network, urban water circularity, resource recovery and valorizationleakage, leak detection, artificial learning, machine learning algorithms, pressure and flow measurements, central control and data collection-scada

In the coming years, various conferences are being considered in the fields of water management and data analytics.
Here are some of them:
International Conference on Water Resources and Environment (ICWRE)
International Conference on Smart Water Technologies and IoT (SWIoT)
IEEE International Conference on Big Data
European Water Resources Association (EWRA) Conference

Attending these conferences could be a great way to share our research on leak detection and data analytics,