Selected News and updates

• [New] 25.05.2026 TETRA AI at ICML 2026!

We are proud to announce that our colleague Jonas Kusch has an accepted paper at ICML 2026: "Tucker Attention: A Generalization of Approximate Attention Mechanisms". The paper introduces Tucker Attention, a new framework for efficient transformer architectures that unifies and generalizes established attention mechanisms such as Multi-Head Attention (MHA), Group-Query Attention (GQA), and Multi-Head Latent Attention (MLA). 

• [New] 20.05.2026 Our paper has been accepted at TMLR (Transactions on Machine Learning Research)! Family Matters: A Systematic Study of Spatial vs. Frequency Masking for Continual Test-Time Adaptation In this work, we present a systematic empirical study investigating an overlooked dimension in Continual Test-Time Adaptation (CTTA): the masking family itself. While most prior work focuses on how to select masks, we ask a different question: What type of masking fundamentally supports stable adaptation under distribution shift? 

• [New] 15.02.2026 Honored to serve as a Program Committee member for OSETAI 2026, part of JOWO 2026. Looking forward to engaging with research on explainability and trust in AI. More information: 

http://www.inprodat.de/events/osetai-2026

• [New] 28.01.2026 I had the privilege of serving as a Program Committee member for the 1st International Conference on Human-Centric Artificial Intelligence (ICHCAI 2026), hosted by the Institute for Energy Technology in Halden. Bringing together researchers, practitioners, policymakers, and industry leaders, ICHCAI 2026 created an inspiring platform for discussions on how we can advance AI while keeping people at the center of design, deployment, and decision-making.

• [New] 26.01.2026 I had the pleasure of presenting at CRT-AI ML Week 2026, hosted by the University of Limerick and organized by Prof. Tiziana Margaria. It was a genuinely engaging event, with excellent speakers, thoughtful discussions, and a vibrant group of PhD students pushing the boundaries of current AI research. My talk: From Seen to Unseen: Learning Beyond Data Abundance. We discussed a growing challenge in modern AI: scaling models with more data and parameters comes with rising energy costs—yet still struggles when it matters most, particularly in rare and safety-critical scenarios. I presented how Zero-Shot Learning and structured, knowledge-driven approaches can enable robust generalization with less data and lower computational cost.

• 23.01.2026 Happy to share that our paper “Towards Sustainable Universal Deepfake Detection with Frequency-Domain Masking” has been accepted for publication in ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM).

• 15.01.2026 I am serving as Track Chair for Track 10: Human-Centered AI, Interaction, and Visualization at the IEEE International Conference on Omni-Layer Intelligent Systems (COINS) 2026. This track focuses on human-centered approaches to AI, including interaction design, explainability, visualization, and evaluation of intelligent systems in real-world contexts. More information: https://coinsconf.com

• 14.01.2026 Serving as a reviewer for IEEE AVSS 2026, an international conference focused on advanced video analytics, signal processing, computer vision, and intelligent surveillance systems. 

• 29.12.2025 Happy to share that our paper “Genomic Prediction of Feed Efficiency in Boars by Deep Learning” has been published in G3: Genes | Genomes | Genetics (Oxford Academic).

• 30.11.2025 Proud to share that our paper “FRAGFM: Fragmented Fourier Matrix for Multi-Seasonality Extraction in Univariate Long-Term Time Series Forecasting” received the Best Paper Award at NIKT 2025, held this year in Halden. 

• 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 

• 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.

• 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.

• 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.

• 15.03.2025 I am pleased to serve on the Program Committee of the 3rd International Conference on Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications (FAIEMA). I contribute to multiple tracks, including the Research Track (included in proceedings), the PhD & Student Forum Track, and the PhD Symposium Track.

• 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.