Dr. Benyamin Khoshnevisan, currently affiliated with University of Southern Denmark, Department of Green Technology, SDU Life Cycle, is a seasoned researcher with over 10 years of experience in the field of sustainability assessment. Dr. Khoshnevisan has established himself as an expert in various domains, including renewable energy systems, biofuel production, waste management, wastewater treatment, and agricultural systems. His interdisciplinary approach involves the application of sustainability assessment, data mining, modeling, optimization, and multi-criteria decision analysis. This comprehensive methodology enables him to offer well-informed solutions to decision-makers. He is offering his expeties to several Horizon Europe projects including “TAKE-OFF”, “AgriLoop”, “WALNUT”, and “Agro4Agri”. Dr. Khoshnevisan’s commitment to advancing sustainable practices is evident in his contributions to research and academia. For more detailed insights into his research profile, you can visit his Google Scholar.
Pr. Benyamin KHOSHNEVISAN, University of Southern Denmark
Sustainability Opportunities and Challenges of Smart Systems and Green Processes
Digitalization is rapidly transforming waste and resource management systems through technologies such as Artificial Intelligence, the Internet of Things, Digital Twins, and Blockchain. These innovations create opportunities for real-time monitoring, optimized collection, advanced sorting, and enhanced circularity across value chains. At the same time, they introduce challenges including increased energy demand, electronic waste generation, social inequities, and concerns over privacy and governance. This presentation explores the sustainability dimensions of digitalization, highlighting both the potential benefits and the hidden trade-offs. By examining environmental, economic, and social impacts in an integrated way, the talk will address when and how smart systems and green processes contribute to true sustainability, and under what conditions they risk creating new problems. The discussion will emphasize the importance of system-level thinking, multi-criteria sustainability assessment, and inclusive governance to ensure that digitalization supports a fair and effective transition toward climate neutrality and circular resource use.
Abdeljalil Gattal is a professor in Computer Science at the Department of Mathematics and Computer Science in University of Tebessa, Algeria. He received his PhD in 2016 from Ecole Nationale Supérieure d’Informatique (ESI-Algeria) and his research focuses on segmentation-verification for handwritten digit recognition. He is currently an associate professor at the Department of Mathematics and Computer Science in Larbi Tebessi University, Tébessa, Algeria. He has published several papers and has supervised many Master and License students. His research interests include image analysis, pattern recognition, and recognition of handwriting.
Pr Abdeljalil GATTAL, University of Tebessa, ALGERIA
Handwriting Analysis and Recognition: Techniques and Applications »
Handwriting analysis and recognition have become crucial areas in biometrics, forensics, and document processing, with a wide range of applications including personality assessment, script identification, Handwriting recognition, keyword spotting, gender classification, writer identification, and signature verification. This presentation delves into the methodologies, challenges, and real-world implementations of these handwriting-based technologies. Traditional approaches rely on handcrafted features such as Gabor filters and Local Binary Patterns (LBP), while modern deep learning techniques, such as Convolutional Neural Networks (CNNs) and Siamese Networks, have significantly improved accuracy in tasks such as writer identification and offline signature verification. In addition, graphology-based personality assessment and gender classification utilize stylistic features such as stroke pressure, slant, and word spacing to infer behavioral traits. Despite these advancements, challenges still exist, including variability in handwriting styles, limited datasets (especially for historical scripts), and adversarial attacks in forgery detection. Future research directions focus on few-shot learning, explainable AI for graphology, and cross-script generalization. This comprehensive overview highlights the interdisciplinary nature of handwriting analysis, showcasing its potential in security, psychology, and digital archiving, while addressing open challenges and future trends in the field.
Mejdi Azaïez is a prominent researcher and professor in numerical fluid mechanics and applied mathematics. Born in Paris, France, he earned his Ph.D. from the University of Paris and began his career at the University of Toulouse III – Paul Sabatier. Since 2010, he has been a full professor at the Bordeaux Institute of Technology, heading the TREFLE department. His research focuses on the numerical solution of the Navier-Stokes equations, Proper Orthogonal Decomposition (POD) methods, and thermal and phase change phenomena. Notable publications include « A finite element model for the data completion problem » (2011), « An intrinsic Proper Generalized Decomposition for parametric symmetric elliptic problems » (2018), and « Two Phases Stefan Problem with Smoothed Enthalpy » (2016). He is the author of « Finite Element Methods for Incompressible Fluids ». In 2025, he introduced PODNO, an innovative method for solving PDEs. His work continues to advance the field and inspire future researchers.
Pr. Majdi AZAIEZ, University of Bordeaux, France
A monolithic numerical model of solid-liquid phase change problem
In latent heat storage, certain non-phase change materials (non-PCMs) with high thermal conductivity are incorporated into the phase change materials (PCMs) with the aim of enhancing the efficiency of heat/cold storage. We term this type of non-PCMs as “enhancer”, which includes materials like graphite and copper foam, usually with a complex skeleton structure. In this talk, we propose a phase field model to describe the solidification and melting phenomena of PCMs with enhancer from a microscopic point of view. Our model is governed by the energy equation coupled with the Allen-Cahn equation. A penalty technique is applied in the Allen-Cahn equation to describe the complex structure of the non-PCMs. We use the concept of thermal resistance to define the boundary condition on the contact interface of two materials to ensure the temperature jump. Thanks to the hybrid dual formulation, the temperature can be solved as a monolithic function while satisfying the temperature jump on the material interface. In temporal discretization, a numerical scheme is developed to decouple the phase field from the temperature. In the spatial discretization, the hybrid finite element method, the Raviart-Thomas elements are used to solve the temperature and to satisfy the temperature jump on the interface. 2D and 3D simulations are carried out for both melting and solidification processes of a fossil based organic PCM, RODATHERM60 in the graphite skeleton on different porous structures to validate our model.
