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… devamı

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

   Ortak konular: Advanced Neural Network Applications · Autonomous Vehicle Technology and Safety · Vehicle License Plate Recognition

   Örtüşen yayınlar: 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

   Ortak konular: Robotics and Sensor-Based Localization · Smart Agriculture and AI

   Örtüşen yayınlar: 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

   Ortak konular: Energy Efficient Wireless Sensor Networks · Smart Agriculture and AI

   Örtüşen yayınlar: 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

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

   Örtüşen yayınlar: 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

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

   Örtüşen yayınlar: 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

   Ortak konular: Vehicle Dynamics and Control Systems · Smart Parking Systems Research · Vehicle License Plate Recognition

7. %43
   SELMAN KULAÇ

   ProfesörDüzce Üniversitesi

   Ortak konular: Cooperative Communication and Network Coding · Wireless Body Area Networks · Energy Harvesting in Wireless Networks

   Örtüşen yayınlar: 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

   Ortak konular: Electric Vehicles and Infrastructure

   Örtüşen yayınlar: 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

   Ortak konular: Electric Vehicles and Infrastructure · Energy Load and Power Forecasting · Transportation and Mobility Innovations

   Örtüşen yayınlar: 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

    Ortak konular: Vehicle Routing Optimization Methods · IPv6, Mobility, Handover, Networks, Security

    Örtüşen yayınlar: 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

    Ortak konular: IoT Networks and Protocols

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

Uyum oranı kodla, her istekte hesaplanır. Çağrı metni (başlık, anahtar kelimeler, resmi açıklamanın başı) şu üç kaynakla karşılaştırılır: akademisyen profiliyle anlamsal yakınlık (%50), YÖKSİS anahtar kelimeleri ve OpenAlex konularındaki ortak ayırt edici terimler (%25) ve yayın içeriği — başlıklar, İngilizce özetler ve bunların Türkçe çevirileri (%25). Çeviriler sayesinde Türkçe çağrılar İngilizce yayınlarla da eşleşir. Yaygın kelimeler düşük ağırlıklıdır; %40 altı gösterilmez. Bir konu önerisidir; başvuru uygunluğu, kapasite ya da başarı değerlendirmesi değildir. Gizli profiller listelenmez.