Selected News and updates

• [New] 25.07.2025 I’m pleased to share that our latest review article has just been published in Renewable and Sustainable Energy Reviews (Impact Factor: 16.3, Q1 journal): Title: Advances in Computational Intelligence for Floating Offshore Wind Turbines Aerodynamics: Current State Review and Future Potential. DOI: https://lnkd.in/dVjvuuUe 

• [New] 12.06.2025  Norway’s Billion-Kroner AI Initiative: We received research funding for the Norwegian Centre on AI for Decisions (AID) , led by Sebastian Gros (NTNU) og Signe Riemer-Sørensen (SINTEF). Our centre will combine advanced AI techniques to interpret sensor data from industry and critical infrastructure, supporting trustworthy decision-making across sectors like energy, healthcare, and logistics.

• [New] 31.03.2025 I am excited to share that I’ll be serving as a panel convenor at NorDev25 (24–26 Sept 2025, NMBU)! Our panel, “AI and Sustainable Development: Opportunities, Challenges, and Ethical Considerations,” explores how AI can support or hinder progress toward the SDGs.

• [New] 18.03.2025 I am thrilled to serve as a Program Committee Member for the International Conference on Deep Learning Theory and Applications (DELTA) 2025!

• 06/03/2025 Thrilled to be an editor for the Springer book "Designing the Conceptual Landscape for a XAIR Validation Infrastructure," featuring insights from DCLXVI 2025 on shaping the future of Explainable and Responsible AI.

• 21/02/2025 At the Data Science Department, NMBU, we truly appreciate the dedication and curiosity of our master’s students who actively engage in research. Their involvement in the European Project BatCAT – Battery Cell Assembly Twin has been inspiring! We were thrilled to present our research "Predicting Battery Degradation Using Cellular Neural Network Model" at the Digital Twin Technology for Battery Cell Manufacturing Symposium at DTE AICOMAS 2025.

• 01/01/2025 We are excited to share that our paper, "SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning," has been accepted for the CV4Smalls 2025 Workshop at WACV 2025! 

• 23/12/2024 Our application to Akerhus Fylkeskommune for 'Development of an AI-Based Image Analysis System for Monitoring Plant Status Using Few-Shot Learning' has been approved. 

• 22/11/2024 I am thrilled to join the Program Committee (PC) for the IEEE International Conference on Omni-layer Intelligent Systems (COINS)!

• 28/10/2024  We are thrilled to contribute to the book "The Combined Power of Research, Education, and Dissemination" in Springer's Lecture Notes in Computer Science (LNCS). Our work , titled "Recognizing Hand-Based Micro Activities Using Wrist-Worn Inertial Sensors: A Zero-Shot Learning Approach," was authored by Fadi Al Machot, Habib Ullah, PhD, and Florenc Demrozi. It’s an honor to collaborate with such outstanding scientists to bring this work to the public. Excited to see the impact of this collective effort. 

• 25/10/2024 The DIP-Farm Edu project at NMBU’s Faculty of Science and Technology has been approved in the UTFORSK 2024 Call by the Directorate for Higher Education and Skills, ranking 4th out of 198 applications and receiving earmarked funds. This Norway-Brazil collaboration involves NMBU, UFMT, IFMT, Graminor, AgriHub, FAPEMAT, and 14 agribusiness and tech companies.

• 09/09/2024 Exciting news! Our Industrial Ph.D. project titled "Advancing Controlled Environment Agriculture Using Artificial Intelligence", in collaboration with RiftLabs and NMBU, has been accepted by the Norwegian Research Council. The project, supervised by Fadi Al Machot and Habib Ullah, will drive AI innovations in sustainable agriculture 

• 11/08/2024 - I am thrilled to announce the upcoming release of my latest collaborative work, "Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support." For more details, you can visit the official Springer page here.

• 20/07/2024  - Our paper "Exploration of key concepts required for mid- and domain-level ontology development to facilitate explainable-AI-readiness of data and models," has been accepted for presentation at the 4th International Workshop of Data meets Applied Ontologies in Explainable AI (DAO-XAI IV 2024) which is an event associated with the 27th European Conference on Artificial Intelligence (ECAI 2024). 

• 19/06/2024 - Our paper "Deep Learning-based Models for Paddy Disease Identification and Classification: A Systematic Survey" has been accepted by IEEE Access. 

• 15/02/2024 - I become a  Member of Knowledge Graph Alliance -  Explainable-AI-ready data and metadata principles  (XAIR) Group.

• 11/02/2024 - Our paper "A Graph Attention Network Based System for Robust Analog Circuits’ Structure Recognition Involving a Novel Data Augmentation Technique" has been accepted by IEEE Access. 

• 18/11/2023 - Our paper "Hydrodynamic Response of Semi-Submersible FOWT Floaters: A Numerical Investigation of Wave and Mooring Parameter Dependencies" has been accepted by the Journal of Physics (TORQUE). 

• 27/07/2023  - Our BATCAT (Battery Cell Assembly Twin) project has been approved under the HORIZON-CL5-2023-D2-01 call. The project’s proposal number is 101137725. 

• 28/07/2023 - Our DigiPass (Harmonization of Advanced Materials Ecosystems serving strategic Innovation Markets to pave the way to a Digital Materials & Product Passport: DigiPass) project has been approved under the HORIZON-CL4-2023-RESILIENCE-01 call. The project’s proposal number is 101138510.

• 08/02/2023 -Our paper " An Integral Projection-based Semantic Autoencoder for Zero-Shot Learning" has been accepted by IEEE Access. 

• 31/01/2023 - Our Marie Curie Fellowship proposal titled "Evaluation of Thermohydraulic Characteristics of Printed Circuit Heat Exchangers in the Pseudocritical Region for Supercritical CO2 Cycle" has been approved. The project’s number is 101106619.

• 09/02/2022 - Our ZSL++ (Zero/Few-Shot Learning using Multimodal Sensors) project by the Norwegian University of Life Sciences (NMBU) has been approved.