Innovative technologies and solutions to improve wave and tidal energy systems

Expected Outcome: Project results are expected to contribute to all following expected outcomes: Advance in the realisation of the Strategic Energy Technology (SET) Plan’s research and innovation priorities and targets for ocean energy; Energy producers and consumers benefit from increased performance of wave and tidal energy technologies with the focus on efficiency and flexibility, reduced cost, improved reliability and sustainability, operation and maintenance, robustness and security during all stages of the lifetime of an ocean energy farm from installation, operation and maintenance to decommissioning; Efficient and effective support to ocean energy research and innovation through alignment and cooperation among different actors, avoiding fragmentation of efforts providing effectively a significant developmental boost of wave and tidal energy technologies. Increased contribution of… more

1. %47
   MEHMET SALİH TÜRKER

   Doktor Öğretim ÜyesiAnkara Yıldırım Beyazıt Üniversitesi

   Shared topics: Wind Energy Research and Development · Building Energy and Comfort Optimization

   Overlapping papers: Energy Conversion by Helical Hydrokinetic Turbine in A Pipe (2024)

2. %46
   YAHYA KEMAL BAYKAL

   ProfesörÇankaya Üniversitesi

   Shared topics: Radio Wave Propagation Studies

   Overlapping papers: Field correlations of a Gaussian vortex laser beam in vertical turbulent oceanic links (2026) · Multimode Laser Beam Field Correlations for Vertical Links Operating in Oceanic Turbulence (2025)

3. %45
   MERT ÖKTEN

   Araştırma GörevlisiManisa Celâl Bayar Üniversitesi

   Shared topics: Hybrid Renewable Energy Systems · Integrated Energy Systems Optimization

   Overlapping papers: A Novel iDNA-Inspired Mosquito Optimization Strategy for Simultaneous Economic Load Dispatch and Non-Technical Loss Detection in Smart Grids (2026) · Data Analytics in Energy Systems: Applications of Keyword Extraction, Topic Modelling, and Text Classification in Text Mining (2026)

4. %41
   HASAN DİNÇER

   Profesörİstanbul Medipol Üniversitesi

   Shared topics: Smart Grid Energy Management · Hybrid Renewable Energy Systems

   Overlapping papers: An integrated expert recommender system approach to environmental service priorities in renewable energy (2024) · Mass expert group decision-making based on q-learning and molecular fuzzy logic for floating renewable energy materials investments (2025)

5. %40
   MEHMET ÖZGER

   Profesörİstanbul Teknik Üniversitesi

   Shared topics: Ocean Waves and Remote Sensing

   Overlapping papers: Prediction of ocean wave energy from meteorological variables by fuzzy logic modeling (2011) · Scaling characteristics of ocean wave height time series (2011)

6. %40
   SERHAT TIKIZ

   Öğretim Görevlisi (uygulamalı Birim)Afyon Kocatepe Üniversitesi

   Shared topics: Advanced Sensor and Energy Harvesting Materials · Acoustic Wave Resonator Technologies · Innovative Energy Harvesting Technologies

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.