Updated on 25 August 2026
Smart Airport Technologies, Operational Data & Environmental Impact Assessment
Senior Project Manager at TAV Technologies
Istanbul, Türkiye
About
TAV Technologies provides expertise in smart airport digitalization, airport operational systems, data integration, AI-driven analytics and digital twin solutions. We can contribute to the integration and correlation of real-time airport operational data with environmental sensor data, including air quality and noise measurements.
Our expertise includes airport operations and AOCC systems, flight and ground-operation data, IoT and sensor integration, data platforms, AI-based prediction and analytics, and digital twin-based monitoring and decision-support solutions.
For this topic, TAV Technologies can particularly contribute to identifying and analysing the relationship between airport activities and environmental impacts, integrating heterogeneous operational and environmental data, developing AI-based analytics and visualization tools, and supporting validation and demonstration activities in real airport environments.
Field
- Digital and Enabling Technologies
Organisation
Similar opportunities
Project cooperation
AI-Driven Hydrological Forecasting for Climate-Resilient Aquatic Ecosystems
- HORIZON-CL4-2027-04-DIGITAL-EMERGING-06: International cooperation in AI
- HORIZON-CL5-2027-03-D5-16: Autonomous vessels in short sea shipping and inland waterways
- HORIZON-HLTH-2027-01-ENVHLTH-MISSCLIMA-03: Tools and technologies to support health adaptation to climate change
- HORIZON-HLTH-2027-01-ENVHLTH-02: Integrating climate-related exposures into the human exposome and characterising its changes in response to climate change
- HORIZON-CL5-2027-03-D5-17: Innovative Solutions for mitigating the environmental impact of waterborne transport in marine and aquatic Ecosystems (ZEWT Partnership)
- HORIZON-CL5-2027-02-D3-24 Large scale operational validation and upscaling of state-of-the-art (Generative) AI tools and models powering a next generation digital energy system
- HORIZON-HLTH-2027-02-TOOL-01-two-stage: Development of predictive biomarkers of disease progression and treatment response by using AI methodologies for chronic non-communicable diseases
Vahdettin Demir
PdD. Project Development and Management Unit Coordinator , Civil Engineering Dept. at Wageningen University & Research | WUR
Wageningen, Netherlands
Expertise
Industrial AI, Digital Twins & Optimization for Energy Operations
- Clean Industrial Technologies
- Energy Systems and Renewables
- Digital and Enabling Technologies
- Circular Economy and Sustainability
- Advanced Manufacturing and Materials
Ocan Şahin
Data Science & Engineering Technical Lead at TÜPRAŞ
Kocaeli, Türkiye
Expertise
AI, Data & Digital Innovation Partner for Horizon Europe Consortia
- Transport and Mobility
- Clean Industrial Technologies
- Energy Systems and Renewables
- Policy, Business and Market Uptake
- Digital and Enabling Technologies
- Information Science and Engineering
- Circular Economy and Sustainability
- Advanced Manufacturing and Materials
Caglar Kadam
Research & Innovation Manager at Xient GmbH
Leverkusen, Germany