News & Events
Stay informed and engaged with the latest updates, breakthroughs, and community events surrounding the COSA project, your central hub for innovation and collaboration.
Great vibes at the COSA face-to-face meeting in Baia Mare!
On 14 January, we had the pleasure of hosting an in-person COSA project meeting at CUNBM UTCN, bringing our team together for a productive and inspiring exchange of ideas. All colleagues presented their work and progress, which led to engaging discussions, valuable...
An Enhanced Hybrid Machine Learning Model for Plant Disease Detection and Classification
An Enhanced Hybrid Machine Learning Model for Plant Disease Detection and ClassificationMara Măcelaru, Petrică C. Pop, Rareș Chiuzbăian, Norbert Kovacs Abstract. Timely and precise detection of plant diseases plays a crucial role in ensuring good agricultural...
Proud to Share Our Team’s Contributions at InnoComp 2025!
During 22–23 October, our colleagues Daniela Delinschi, Emil Pașca, Laura Andreica, Rareș Tamaian, and Bogdan Văduva proudly represented our team by presenting their latest research at the InnoComp 2025 International Conference in Cluj-Napoca. They showcased...
Proud Moment for Our Team at InnoComp 2025!
We're happy to share that our colleague Bogdan Văduva represented our team at the InnoComp Research Project Panel, where he presented the COSA project, focusing on the Bonitation Use Case. His presentation highlighted how innovative digital tools can support...
A GIS-Driven, Machine Learning-Enhanced Framework for Adaptive Land Bonitation
A GIS-Driven, Machine Learning-Enhanced Framework for Adaptive Land BonitationBogdan Văduva, Anca Avram, Oliviu Matei, Laura Andreica, Teodor Rusu Abstract. Traditional land bonitation, the agronomic evaluation of land quality and agricultural potential, often relies...
Competition between Dandelion and Prüfer encoded genetic algorithms for solving the clustered minimum routing tree problem
Competition between Dandelion and Prüfer encoded genetic algorithms for solving the clustered minimum routing tree problemCosmin Sabo, Petrică C. Pop, Bogdan Teglaș, Adrian Petrovan Abstract. The Clustered Minimum Routing Tree Problem (CluMRTP) is a challenging...
Guide in Designing an Asynchronous Performance-Centric Framework for Heterogeneous Microservices in Time-Critical Cybersecurity Applications. The BIECO Use Case
The generalized traveling salesman problem (GTSP) is an extension of the classical traveling salesman
problem (TSP), and it is among the most researched combinatorial optimization problems due to its theoretical properties, complexity aspects, and real-life applications in various areas: location-routing problems, material flow design problem, distribution of medical supplies, urban waste collection management, airport selection and routing the courier airplanes, image retrieval and ranking, digital garment manufacturing, etc.
Trend-Enabled Recommender System with Diversity Enhancer for Crop Recommendation
The generalized traveling salesman problem (GTSP) is an extension of the classical traveling salesman
problem (TSP), and it is among the most researched combinatorial optimization problems due to its theoretical properties, complexity aspects, and real-life applications in various areas: location-routing problems, material flow design problem, distribution of medical supplies, urban waste collection management, airport selection and routing the courier airplanes, image retrieval and ranking, digital garment manufacturing, etc.
Privacy-Conducive Data Ecosystem Architecture: By-Design Vulnerability Assessment Using Privacy Risk Expansion Factor and Privacy Exposure Index
Privacy-Conducive Data Ecosystem Architecture: By-Design Vulnerability Assessment Using Privacy Risk Expansion Factor and Privacy Exposure IndexIonela Chereja, Rudolf Erdei, Daniela Delinschi, Emil Pasca, Anca Avram, Oliviu Matei Abstract. Modern data ecosystems...
A Vulnerable-by-Design IoT Sensor Framework for Cybersecurity in Smart Agriculture
A Vulnerable-by-Design IoT Sensor Framework for Cybersecurity in Smart AgricultureEmil Marian Pasca, Daniela Delinschi, Rudolf Erdei, Iulia Băărăian, Oliviu Matei Abstract. As farms become increasingly connected, the sensors monitoring crops, soil and machinery become...
COSA Weather Station – Smart Data for Smart Agriculture
As part of the COSA project, we’re using a dedicated agricultural weather station equipped with smart sensors to collect essential field data in real time. The station monitors key environmental parameters, including: Air temperature and humidity Soil moisture...
COSA Project at InnoComp Conference!
We’re excited to announce that the COSA project will be presented at the InnoComp in the research panels sessions! This is a fantastic opportunity to showcase our work in smart agriculture, explore cutting-edge innovations, and engage with researchers and industry...
COSA AGRIQ — Shaping the Future of Smart Agriculture
The COSA AGRIQ platform is an innovative initiative under the COSA project, designed to transform agriculture through the integration of advanced digital technologies such as artificial intelligence and IoT devices. Our team recently completed a preliminary validation...
COSA at the CUNBM Research Workshop
On Wednesday, April 2nd, a research-focused workshop was held in the Senate Hall of CUNBM – UTCN, highlighting both ongoing and recently launched research projects within the university. The event brought together researchers from CUNBM, close collaborators from the...
A Privacy Assessment Framework For Data Tiers In Multilayered Ecosystem Architectures
A Privacy Assessment Framework For Data Tiers In Multilayered Ecosystem ArchitecturesIonela Chereja, Rudolf Erdei, Emil Pasca, Daniela Delinschi, Anca Avram, Oliviu Matei Abstract. As smart agriculture evolves into an interconnected Internet of Fields, massive amounts...
LLM-Driven, Self-Improving Framework for Security Test Automation: Leveraging Karate DSL for Augmented API Resilience
LLM-Driven, Self-Improving Framework for Security Test Automation: Leveraging Karate DSL for Augmented API ResilienceEmil Marian Pasca, Daniela Delinschi, Rudolf Erdei, Oliviu Matei Abstract. This paper introduces Karate-BOLA-Guard, an LLM-driven, self-improving...
Sustainability of the Integrated Waste Management System: A Case Study of Bihor County, Romania
Sustainability of the Integrated Waste Management System: A Case Study of Bihor County, RomaniaOlimpia Smaranda Mintas, Daniela Camelia Marele, Alina Stefania Stanciu, Adrian Gheorghe Osicianu, Alina Stanca Osiceanu, Horia Pop, Teodor Rusu Abstract. Integrated waste...
A Proud Achievement for the COSA Team!
Huge congratulations to Rudolf Erdei and Adrian Petrovan for receiving their official doctoral diplomas at the UTCN 2025 Research and Innovation Conference! Out of 74 new PhDs, two belong to our talented COSA team members. Their dedication to research and innovation...
Collaborating for Smarter Agriculture!
🤝 Collaborating for Smarter Agriculture! 🌱 We’re excited to share a work-in-progress glimpse of our bonitation calculation feature from the COSA project! This tool aims to support farmers in evaluating crop quality and productivity through data-driven insights. Our...
Cybersecurity in Smart Agriculture – Emil Pașca at UTCN 2025
🔐 Did you know that cybersecurity plays a vital role in smart agriculture? 🌾 Our team member and PhD student, Emil Marian Pasca, recently presented his research on ‘Intelligent Processes to Improve the Security of Software Applications’ at the UTCN 2025 Research and...
Progress Meeting — Spring 2025 Coordination
The COSA team gathered for a coordination meeting to review progress across work packages and to prepare the deliverables and reporting actions of the period. The agenda included status updates on R&D activities, ongoing publications and the upcoming validation...
Progress Meeting — Starting 2025 with a Clear Roadmap
The COSA project team kicked off 2025 with an internal progress meeting dedicated to reviewing the status of all work packages and setting priorities for the new reporting cycle. The discussion covered ongoing R&D activities, the planning of dissemination actions,...
Using Automation and Artificial Intelligence in the Management of European Social Fund Projects
Using Automation and Artificial Intelligence in the Management of European Social Fund ProjectsMatei Oliviu, Laura Andreica, Faragău Tudor Abstract. The management of European Social Fund (ESF) projects is characterized by complex reporting, monitoring and compliance...
Benefits and limitations of digitalization in managing European Social funded projects
Benefits and limitations of digitalization in managing European Social funded projectsMatei Oliviu, Laura Andreica, Faragău Tudor Abstract. Digitalization is widely promoted as a solution for the administrative complexity of European Social Fund (ESF) projects, yet...