AHCI RESEARCH GROUP

Publications

Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH​

Scientific Publications

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2025

Azzarelli, A.; Anantrasirichai, N.; Bull, D. R.

Intelligent Cinematography: a review of AI research for cinematographic production Journal Article

In: Artificial Intelligence Review, vol. 58, no. 4, 2025, ISSN: 02692821 (ISSN).

Abstract | Links | BibTeX | Tags: Artificial intelligence research, Computer vision, Content acquisition, Creative industries, Holistic view, machine learning, Machine-learning, Mergers and acquisitions, Review papers, Three dimensional computer graphics, Video applications, Video processing, Video processing and applications, Virtual production, Virtual Reality, Vision research

Suzuki, R.; Gonzalez-Franco, M.; Sra, M.; Lindlbauer, D.

Everyday AR through AI-in-the-Loop Proceedings Article

In: Conf Hum Fact Comput Syst Proc, Association for Computing Machinery, 2025, ISBN: 979-840071395-8 (ISBN).

Abstract | Links | BibTeX | Tags: Augmented Reality, Augmented reality content, Augmented reality hardware, Computer vision, Content creation, Context-Aware, Generative AI, generative artificial intelligence, Human-AI Interaction, Human-artificial intelligence interaction, Language Model, Large language model, large language models, machine learning, Machine-learning, Mixed reality, Virtual Reality, Virtualization

Banafa, A.

Artificial intelligence in action: Real-world applications and innovations Book

River Publishers, 2025, ISBN: 978-877004619-0 (ISBN); 978-877004620-6 (ISBN).

Abstract | Links | BibTeX | Tags: 5G, Affective Computing, AGI, AI, AI alignments, AI Ethics, AI hallucinations, AI hype, AI models, Alexa, ANI, ASI, Augmented Reality, Autoencoders, Autonomic computing, Autonomous Cars, Autoregressive models, Big Data, Big Data Analytics, Bitcoin, Blockchain, C3PO, Casual AI, Causal reasoning, ChatGPT, Cloud computing, Collective AI, Compression engines, Computer vision, Conditional Automation, Convolutional neural networks (CNNs), Cryptocurrency, Cybersecurity, Deceptive AI, Deep learning, Digital transformation, Driver Assistance, Driverless Cars, Drones, Elon Musk, Entanglement, Environment and sustainability, Ethereum, Explainable AI, Facebook, Facial Recognition, Feedforward. Neural Networks, Fog Computing, Full Automation, Future of AI, General AI, Generative Adversarial Networks (GANs), Generative AI, Google, Green AI, High Automation, Hybrid Blockchain, IEEE, Industrial Internet of Things (IIoT), Internet of things (IoT), Jarvis, Java, JavaScript, Long Short-Term Memory Networks, LTE, machine learning, Microsoft, MultiModal AI, Narrow AI, Natural disasters, Natural Language Generation (NLG), Natural Language Processing (NLP), NetFlix, Network Security, Neural Networks, Nuclear, Nuclear AI, NYTimes, Objective-driven AI, Open Source, Partial Automation, PayPal, Perfect AI, Private Blockchain, Private Cloud Computing, Programming languages, Python, Quantum Communications, Quantum Computing, Quantum Cryptography, Quantum internet, Quantum Machine Learning (QML), R2D2, Reactive machines. limited memory, Recurrent Neural Networks, Responsible AI, Robots, Sci-Fi movies, Self-Aware, Semiconductorâ??s, Sensate AI, Siri, Small Data, Smart Contracts. Hybrid Cloud Computing, Smart Devices, Sovereign AI, Super AI, Superposition, TensorFlow, Theory of Mind, Thick Data, Twitter, Variational Autoencoders (VAEs), Virtual Reality, Voice user interface (VUI), Wearable computing devices (WCD), Wearable Technology, Wi-Fi, XAI, Zero-Trust Model

Ademola, A.; Sinclair, D.; Koniaris, B.; Hannah, S.; Mitchell, K.

NeFT-Net: N-window extended frequency transformer for rhythmic motion prediction Journal Article

In: Computers and Graphics, vol. 129, 2025, ISSN: 00978493 (ISSN).

Abstract | Links | BibTeX | Tags: Cosine transforms, Discrete cosine transforms, Human motions, Immersive, machine learning, Machine-learning, Motion analysis, Motion prediction, Motion processing, Motion sequences, Motion tracking, Real-world, Rendering, Rendering (computer graphics), Rhythmic motion, Three dimensional computer graphics, Virtual environments, Virtual Reality

2024

Chaccour, C.; Saad, W.; Debbah, M.; Poor, H. V.

Joint Sensing, Communication, and AI: A Trifecta for Resilient THz User Experiences Journal Article

In: IEEE Transactions on Wireless Communications, vol. 23, no. 9, pp. 11444–11460, 2024, ISSN: 15361276 (ISSN).

Abstract | Links | BibTeX | Tags: Artificial intelligence, artificial intelligence (AI), Behavioral Research, Channel state information, Computer hardware, Cramer-Rao bounds, Extended reality (XR), Hardware, Joint sensing and communication, Learning systems, machine learning, machine learning (ML), Machine-learning, Multi agent systems, reliability, Resilience, Sensor data fusion, Tera Hertz, Terahertz, terahertz (THz), Terahertz communication, Wireless communications, Wireless sensor networks, X reality

Gujar, P.; Paliwal, G.; Panyam, S.

Generative AI and the Future of Interactive and Immersive Advertising Proceedings Article

In: D., Rivas-Lalaleo; S.L.S., Maita (Ed.): ETCM - Ecuador Tech. Chapters Meet., Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-835039158-9 (ISBN).

Abstract | Links | BibTeX | Tags: Ad Creation, Adversarial machine learning, Advertising Technology (AdTech), Advertizing, Advertizing technology, Augmented Reality, Augmented Reality (AR), Generative adversarial networks, Generative AI, Immersive, Immersive Advertising, Immersive advertizing, Interactive Advertising, Interactive advertizing, machine learning, Machine-learning, Marketing, Mixed reality, Mixed Reality (MR), Personalization, Personalizations, User Engagement, Virtual environments, Virtual Reality, Virtual Reality (VR)

Weerasinghe, K.; Janapati, S.; Ge, X.; Kim, S.; Iyer, S.; Stankovic, J. A.; Alemzadeh, H.

Real-Time Multimodal Cognitive Assistant for Emergency Medical Services Proceedings Article

In: Proc. - ACM/IEEE Conf. Internet-of-Things Des. Implement., IoTDI, pp. 85–96, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-835037025-6 (ISBN).

Abstract | Links | BibTeX | Tags: Artificial intelligence, Augmented Reality, Cognitive Assistance, Computational Linguistics, Decision making, Domain knowledge, Edge computing, Emergency medical services, Forecasting, Graphic methods, Language Model, machine learning, Machine-learning, Multi-modal, Real- time, Service protocols, Smart Health, Speech recognition, State of the art

Liu, M.; M'Hiri, F.

Beyond Traditional Teaching: Large Language Models as Simulated Teaching Assistants in Computer Science Proceedings Article

In: SIGCSE - Proc. ACM Tech. Symp. Comput. Sci. Educ., pp. 743–749, Association for Computing Machinery, Inc, 2024, ISBN: 979-840070423-9 (ISBN).

Abstract | Links | BibTeX | Tags: Adaptive teaching, ChatGPT, Computational Linguistics, CS education, E-Learning, Education computing, Engineering education, GPT, Language Model, LLM, machine learning, Machine-learning, Novice programmer, novice programmers, Openai, Programming, Python, Students, Teaching, Virtual Reality

Dunaeva, Y.

Digital Evolution of Universities: Neural Networks in Education Book Section

In: Springer Geography, vol. Part F3974, pp. 453–463, Springer Science and Business Media Deutschland GmbH, 2024, ISBN: 2194315X (ISSN).

Abstract | Links | BibTeX | Tags: Artificial general intelligence (AGI), Cybersecurity, Cybersecurity threat, Digital exceptionalism, Dipfake, Large language models (LLM), machine learning, Virtual and augmented reality

Cronin, I.

Understanding Generative AI Business Applications: A Guide to Technical Principles and Real-World Applications Book

Apress Media LLC, 2024, ISBN: 979-886880282-9 (ISBN); 979-886880281-2 (ISBN).

Abstract | Links | BibTeX | Tags: Artificial intelligence, Augmented Reality, Autonomous system, Autonomous systems, Business applications, Computer vision, Decision making, Gaussian Splatting, Gaussians, Generative AI, Language processing, Learning algorithms, Learning systems, machine learning, Machine-learning, Natural Language Processing, Natural Language Processing (NLP), Natural language processing systems, Natural languages, Splatting

Federico, G.; Carrara, F.; Amato, G.; Benedetto, M. Di

Spatio-Temporal 3D Reconstruction from Frame Sequences and Feature Points Proceedings Article

In: ACM Int. Conf. Proc. Ser., pp. 52–64, Association for Computing Machinery, 2024, ISBN: 979-840071794-9 (ISBN).

Abstract | Links | BibTeX | Tags: 3D reconstruction, Adversarial machine learning, Artificial intelligence, Color motion pictures, Color photography, Contrastive Learning, De-noising, Deep learning, Denoising Diffusion Probabilistic Model, Frame features, machine learning, Machine-learning, Probabilistic models, Signed Distance Field, Signed distance fields, Spatio-temporal, Video Reconstruction, Video streaming

Otoum, Y.; Gottimukkala, N.; Kumar, N.; Nayak, A.

Machine Learning in Metaverse Security: Current Solutions and Future Challenges Journal Article

In: ACM Computing Surveys, vol. 56, no. 8, 2024, ISSN: 03600300 (ISSN).

Abstract | Links | BibTeX | Tags: 'current, Block-chain, Blockchain, digital twin, E-Learning, Extended reality, Future challenges, Generative AI, machine learning, Machine-learning, Metaverse Security, Metaverses, Security and privacy, Spatio-temporal dynamics, Sustainable development

2023

Fuchs, A.; Appel, S.; Grimm, P.

Immersive Spaces for Creativity: Smart Working Environments Proceedings Article

In: A.A., Yunanto; A.D., Ramadhani; Y.R., Prayogi; P.A.M., Putra; M., Ruswiansari; M., Ridwan; F., Gamar; W.M., Rahmawati; M.R., Rusli; F.M., Humaira; A.F., Adila (Ed.): IES - Int. Electron. Symp.: Unlocking Potential Immersive Technol. Live Better Life, Proceeding, pp. 610–617, Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 979-835031473-1 (ISBN).

Abstract | Links | BibTeX | Tags: Artificial intelligence, Generative AI, Human computer interaction, Immersive, Innovative approaches, Intelligent systems, Interactive Environments, Language Model, Language processing, Large language model, large language models, Learning algorithms, machine learning, Natural language processing systems, Natural languages, User behaviors, User interfaces, Virtual Reality, Working environment

Yeo, J. Q.; Wang, Y.; Tanary, S.; Cheng, J.; Lau, M.; Ng, A. B.; Guan, F.

AICRID: AI-Empowered CR For Interior Design Proceedings Article

In: G., Bruder; A.H., Olivier; A., Cunningham; E.Y., Peng; J., Grubert; I., Williams (Ed.): Proc. - IEEE Int. Symp. Mixed Augment. Real. Adjunct, ISMAR-Adjunct, pp. 837–841, Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 979-835032891-2 (ISBN).

Abstract | Links | BibTeX | Tags: 3D modeling, 3D models, 3d-modeling, Architectural design, Artificial intelligence, Artificial intelligence technologies, Augmented Reality, Augmented reality technology, Interior Design, Interior designs, machine learning, Machine-learning, Model generation, Novel design, Text images, User need, Visualization

2021

Franchini, Silvia; Terranova, Maria Chiara; Re, Giuseppe Lo; Galia, Massimo; Salerno, Sergio; Midiri, Massimo; Vitabile, Salvatore

A Novel System for Multi-level Crohn's Disease Classification and Grading Based on a Multiclass Support Vector Machine Book Section

In: Esposito, Anna; Faundez-Zanuy, Marcos; Morabito, Francesco Carlo; Pasero, Eros (Ed.): Progresses in Artificial Intelligence and Neural Systems, pp. 185–197, Springer, Singapore, 2021, ISBN: 9789811550935.

Abstract | Links | BibTeX | Tags: Bayesian optimization, Crohn's disease multi-level classification and grading, Feature extraction, Feature reduction, K-fold cross-validation, machine learning, Magnetic Resonance Enterography, Medical Imaging, multi-level classifiers, Multiclass support vector machines, Supervised learning

Franchini, Silvia; Terranova, Maria Chiara; Re, Giuseppe Lo; Galia, Massimo; Salerno, Sergio; Midiri, Massimo; Vitabile, Salvatore

A Novel System for Multi-level Crohn’s Disease Classification and Grading Based on a Multiclass Support Vector Machine Book Section

In: Esposito, Anna; Faundez-Zanuy, Marcos; Morabito, Francesco Carlo; Pasero, Eros (Ed.): Progresses in Artificial Intelligence and Neural Systems, pp. 185–197, Springer, Singapore, 2021, ISBN: 9789811550935.

Abstract | Links | BibTeX | Tags: Bayesian optimization, Crohn’s disease multi-level classification and grading, Feature extraction, Feature reduction, K-fold cross-validation, machine learning, Magnetic Resonance Enterography, Medical Imaging, multi-level classifiers, Multiclass support vector machines, Supervised learning

2020

Franchini, Silvia; Terranova, Maria Chiara; Re, Giuseppe Lo; Salerno, Sergio; Midiri, Massimo; Vitabile, Salvatore

Evaluation of a Support Vector Machine Based Method for Crohn's Disease Classification Book Section

In: Esposito, Anna; Faundez-Zanuy, Marcos; Morabito, Francesco Carlo; Pasero, Eros (Ed.): Neural Approaches to Dynamics of Signal Exchanges, pp. 313–327, Springer, Singapore, 2020, ISBN: 9789811389504.

Abstract | Links | BibTeX | Tags: Crohn's disease classification, Feature extraction, Feature reduction, K-fold cross-validation, machine learning, Magnetic Resonance Enterography, Medical Imaging, Supervised learning, Support vector machines

Franchini, Silvia; Terranova, Maria Chiara; Re, Giuseppe Lo; Salerno, Sergio; Midiri, Massimo; Vitabile, Salvatore

Evaluation of a Support Vector Machine Based Method for Crohn’s Disease Classification Book Section

In: Esposito, Anna; Faundez-Zanuy, Marcos; Morabito, Francesco Carlo; Pasero, Eros (Ed.): Neural Approaches to Dynamics of Signal Exchanges, pp. 313–327, Springer, Singapore, 2020, ISBN: 9789811389504.

Abstract | Links | BibTeX | Tags: Crohn’s disease classification, Feature extraction, Feature reduction, K-fold cross-validation, machine learning, Magnetic Resonance Enterography, Medical Imaging, Supervised learning, Support vector machines