Horizon Europe · Horizon Europe (HORIZON)
Innovative AI methods and technologies for the process industries (RIA) (Processes4Planet and AI, Data and Robotics partnerships)
Call summary
From the official text, opening part
Expected Outcome: Projects are expected to contribute to the following outcomes: To develop and demonstrate innovative AI-driven solutions in materials and process development to enhance the competitiveness and sustainability of the process industries by better products and process technologies and reducing the time to market To increase the competitiveness of materials production in Europe by AI-supported optimal operation of plants and value networks and early detection of problems and failures To improve the working conditions in the plants by using AI technologies, metaverse, and robots. Scope: Drastically improved AI methods and technologies hold transformative potential for the process industries, enabling advancements in process design, operational efficiency, and faster innovation across the entire lifecycle of plants and products. By using different AI approaches such as multimo… more
Academics who may be relevant
By subject fit
30-
%61ABDULKERİM YÖRÜKOĞLU
Shared topics: Extraction and Separation Processes · Radioactive element chemistry and processing · Recycling and utilization of industrial and municipal waste in materials production
-
%60ALİ YARAŞ
Shared topics: Extraction and Separation Processes · Recycling and utilization of industrial and municipal waste in materials production
-
%59MÜBAREK MAZHAR ÇAKIR
Shared topics: Manufacturing Process and Optimization
-
%55İBRAHİM DEMİR
Shared topics: Advanced machining processes and optimization
-
%54ULAŞ YURTSEVER
Shared topics: Music and Audio Processing
-
%53ELİF AKTEPE
Shared topics: Additive Manufacturing Materials and Processes
-
%53ERDAL BAŞARAN
Shared topics: Speech and Audio Processing
-
%52SAYGIN YÜCEKULE
Shared topics: Manufacturing Process and Optimization
-
%51KURTULUŞ ARTIK
Shared topics: Materials Engineering and Processing
-
%51SAVAŞ ÖZTÜRK
Shared topics: Recycling and utilization of industrial and municipal waste in materials production · Advanced machining processes and optimization
-
%51ÇAĞLA EDİZ
Shared topics: Manufacturing Process and Optimization
-
%48AHSEN AKBULUT ULUDAĞ
Shared topics: Thermochemical Biomass Conversion Processes · Extraction and Separation Processes
-
%48FATİH APAYDIN
Shared topics: Iron and Steelmaking Processes
-
%48NAMIK ÇIPLAK
Shared topics: Robotic Mechanisms and Dynamics · Advanced machining processes and optimization
-
%48SEDA HATİCE GÖKLER
Shared topics: Manufacturing Process and Optimization · Advanced machining processes and optimization
-
%47ECEM MÜGE ANDOĞLU ÇOŞKUN
Shared topics: Process Optimization and Integration
-
%47METİN UÇURUM
Shared topics: Mineral Processing and Grinding · Advanced Statistical Process Monitoring · Advanced machining processes and optimization
-
%47YAĞMUR ÖLMEZ
Shared topics: Robotic Path Planning Algorithms
-
%46UMAY ÇINARLI YAVAŞ
Shared topics: Extraction and Separation Processes
-
%46ÖZNUR ÖZTUNA TANER
Shared topics: Freezing and Crystallization Processes
-
%45ELİF CESUR
Shared topics: Manufacturing Process and Optimization
-
%45İHSAN SÜLE
Shared topics: Material Properties and Processing
-
%44HASAN BOZKURT
Shared topics: Hydrology and Sediment Transport Processes
-
%44LEVENT DEĞİRMENCİ
Shared topics: Catalytic Processes in Materials Science
-
%44MUHAMMET RAŞİT CESUR
Shared topics: Manufacturing Process and Optimization
-
%44PINAR DEMİRCİOĞLU
Shared topics: Robotic Path Planning Algorithms
-
%44SONER KIZILOLUK
Research topics: Metaheuristic Optimization Algorithms Research · Smart Agriculture and AI · AI in cancer detection
-
%43ERİNÇ ULUDAMAR
Shared topics: Catalytic Processes in Materials Science
-
%43HÜSEYİN KÖKSAL
Shared topics: Catalytic Processes in Materials Science
-
%43MUHAMMED SAFA KAMER
Shared topics: Manufacturing Process and Optimization · Additive Manufacturing Materials and Processes
The fit is computed by code on every request: semantic similarity (55%) between the call text (title, EU keywords, start of the official description) and the academic’s YÖKSİS fields, keywords and OpenAlex topics, plus shared distinctive terms (45%; 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.