Autonomous Drive Ambition Cities (IA) - Apply AI

Expected Outcome: Development and demonstration of AI-enabled electric autonomous mobility services (level 4) in urban traffic, improving safety, sustainability, data sharing and commercial scalability across cities, through a large-scale demonstrator integrating 5 - 7 co-ordinated city pilots in 5 or more Member States or associated countries including at least one cross-border pilot between adjacent cities - to bring near-to-market autonomous driving technologies into real operations: Delivery on the Apply AI Strategy flagship action “Autonomous Drive Ambition Cities” by bridging the gap between high technical maturity and sustainable commercial deployment in cities. Strengthened competitiveness of European base vehicle manufacturers, AD technology stack providers, mobility service brokers, and mobility service operators through real-world deployment opportunities as addressed by the E… more

Artificial intelligence, intelligent systems, multi agent systemsCyber-physical systemsEnergy end-use efficiency and energy servicesEnergy systems, smart energy, smart grids, wireless energy transferInternet of ThingsMachine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)Monitoring and control systemsNetworks (communication networks, sensor networks, networks of robots, etc.)PilotingRenewable electricitySystems engineering, sensorics, actorics, automation

1. %55
   ŞENOL PAZAR

   Doktor Öğretim ÜyesiBiruni Üniversitesi

   Shared topics: Advanced Neural Network Applications · Autonomous Vehicle Technology and Safety · Vehicle License Plate Recognition

   Overlapping papers: Yapay Zeka Tabanlı Araç Algılama Sistemi Geliştirilmesi (2020) · Deep Learning-Based Vehicle Classification for Low Quality Images (2022)

2. %47
   MUHAMMAD UMER KHAN

   DoçentAtılım Üniversitesi

   Shared topics: Robotics and Sensor-Based Localization · Smart Agriculture and AI

   Overlapping papers: A Systematic Review of Social Robots in Shopping Environments (2024) · Autonomous landing of a quadrotor on a moving platform using motion capture system (2024)

3. %47
   NAİM KARASEKRETER

   Doktor Öğretim ÜyesiAfyon Kocatepe Üniversitesi

   Shared topics: Energy Efficient Wireless Sensor Networks · Smart Agriculture and AI

   Overlapping papers: Energy-efficient clustering algorithm for a WSN with a distributed structure (2020) · PSO-based clustering for the optimization of energy consumption in wireless sensor network (2020)

4. %46
   MEHMET BOZDAL

   Doktor Öğretim ÜyesiAbdullah Gül Üniversitesi

   Shared topics: Smart Grid Security and Resilience · Network Security and Intrusion Detection · Vehicular Ad Hoc Networks (VANETs) · Autonomous Vehicle Technology and Safety

   Overlapping papers: WINDS: A Wavelet-Based Intrusion Detection System for Controller Area Network (CAN) (2021) · Internet of Things (IoT): The most up-to-date challenges, architectures, emerging trends and potential opportunities (2018)

5. %44
   ABDULKADİR KÖSE

   Doktor Öğretim ÜyesiAbdullah Gül Üniversitesi

   Shared topics: Advanced Wireless Communication Technologies · Target Tracking and Data Fusion in Sensor Networks · Energy Harvesting in Wireless Networks

   Overlapping papers: A Proportional Time Allocation Algorithm to Transmit Binary Sensor Decisions for Target Tracking in a Wireless Sensor Network (2018) · Beam-Based Mobility Management in 5G Millimetre Wave V2X Communications: A Survey and Outlook (2021)

6. %43
   ALEYNA BEGÜM TAŞDEMİR

   Araştırma GörevlisiKaradeniz Teknik Üniversitesi

   Shared topics: Vehicle Dynamics and Control Systems · Smart Parking Systems Research · Vehicle License Plate Recognition

7. %43
   SELMAN KULAÇ

   ProfesörDüzce Üniversitesi

   Shared topics: Cooperative Communication and Network Coding · Wireless Body Area Networks · Energy Harvesting in Wireless Networks

   Overlapping papers: Joint Placement and Device Association of UAV Base Stations in IoT Networks (2019) · Determination of Effective Mode Selection for Ensuring Spectrum Efficiency with Massive MIMO in IoT Systems (2019)

8. %42
   ASLI ABDULVAHİTOĞLU

   ProfesörAdana Alparslan Türkeş Bilim Ve Teknoloji Üniversitesi

   Shared topics: Electric Vehicles and Infrastructure

   Overlapping papers: Optimising Traffic Safety – Locating Traffic Gendarmes Based on Multi-Criteria Decision Making (2023) · Evaluating vehicle architecture alternatives under uncertainty: a spherical fuzzy MCDM framework (2026)

9. %42
   İBRAHİM TÜMAY GÜLBAHAR

   Araştırma GörevlisiAbdullah Gül Üniversitesi

   Shared topics: Electric Vehicles and Infrastructure · Energy Load and Power Forecasting · Transportation and Mobility Innovations

   Overlapping papers: Elektrikli araç şarj istasyonlarının optimum yer seçimi: Türkiye'nin en çok tercih edilen otoyolu üzerine bir vaka çalışması (2022) · Long term currency forecast with multiple trend corrected exponential smoothing with shifting lags (2023)

10. %40
    MEHMET KARAKOÇ

    Doktor Öğretim ÜyesiAlanya Üniversitesi

    Shared topics: Vehicle Routing Optimization Methods · IPv6, Mobility, Handover, Networks, Security

    Overlapping papers: Visual and auditory analysis methods for speaker recognition in digital forensic (2017) · Routing mobile data couriers in smart-cities (2016)

11. %40
    VEDAT MARTTİN

    Doktor Öğretim ÜyesiBilecik Şeyh Edebali Üniversitesi

    Shared topics: IoT Networks and Protocols

    Overlapping papers: Internet of Things Driven Smart Parking System Design and Implementation (IoTSpS) (2026) · Internet of Thing (IoT) Based Mobile Plant Irregation Application (2023)

The fit is computed by code on every request. The call text (title, keywords, start of the official description) is compared with three sources: semantic similarity to the academic profile (50%), shared distinctive terms in YÖKSİS keywords and OpenAlex topics (25%) and publication content — titles, English abstracts and their Turkish translations (25%). Thanks to the translations, Turkish calls also meet papers written in English. Common words weigh little; below 40% is not shown. A subject hint only — not an eligibility, capacity or merit assessment. Hidden profiles are never listed.