AI-DARLD
1st Workshop on AI-Driven Applications in Real-Life Domains
AI-DARLD
1st Workshop on AI-Driven Applications in Real-Life Domains
2025 IEEE International Conference on Big Data (IEEE BigData2025)
https://conferences.cis.um.edu.mo/ieeebigdata2025/
8-11, December 2025, Macau SAR, China
*****************************************************************************************************
The workshop will be held on December 9, 2025
Please find the schedule in the bottom of the page
ID riunione: 387 939 304 374 30
Passcode: 6Sw3Vw2g
https://teams.microsoft.com/dl/launcher/launcher.html?url=%2F_%23%2Fl%2Fmeetup-join%2F19%3Ameeting_YjFjNGRjY2UtMDQwNy00N2ExLTk4M2YtOGNmMDgxMTQ4MGNh%40thread.v2%2F0%3Fcontext%3D%257b%2522Tid%2522%253a%25227519d0cd-2106-47d9-adcb-320023abff57%2522%252c%2522Oid%2522%253a%25228067b503-8eae-47f9-b783-4654a8566ef3%2522%257d%26anon%3Dtrue&type=meetup-join&deeplinkId=3a3bf1a6-32c6-4520-9d91-80ea12f1477f&directDl=true&msLaunch=true&enableMobilePage=true&suppressPrompt=true
*****************************************************************************************************
Workshop style: full online
Context
The "AI-Driven Applications in Real-Life Domains" workshop aims to explore the transformative impact of artificial intelligence across multiple application sectors of social and environmental relevance. In an era characterized by interconnected global challenges, AI technologies offer innovative solutions to optimize processes, improve sustainability, and enhance efficiency in diverse domains while addressing critical societal needs.
This interdisciplinary workshop brings together researchers, practitioners, and stakeholders to examine how advances in AI, combined with big data, IoT, and emerging technologies, are revolutionizing crucial sectors such as renewable energy, cultural heritage enhancement, waste management, transportation, industrial production, and smart city management. The workshop emphasizes both theoretical advances and practical implementations, fostering knowledge transfer between academic research and real-world applications. The workshop emphasizes both theoretical advances and practical implementations, fostering knowledge transfer between academic research and real-world applications.
In line with global sustainability frameworks such as the European Green Deal and the 2030 Agenda for Sustainable Development, the workshop promotes constructive dialogue on the application of AI as a strategic tool to address the social, economic, and environmental challenges of our time. Participants will explore how AI can contribute to achieving climate neutrality, reducing inequalities, and promoting sustainable development across various sectors.
The goal is to create a venue for sharing innovative methodologies, best practices, and new research directions at the intersection of artificial intelligence and real-life application domains. The workshop encourages discussions on ethical AI deployment, sustainability considerations, and the social impact of AI technologies, while highlighting success stories and identifying future research opportunities that can drive meaningful change in society.
Research topics
Topics of interest include, but are not limited to:
AI-driven applications in real-life domain
Predictive models for renewable energy production, forecasting and efficiency strategies
AI for digitization and analysis of cultural assets and historical documents
AI for immersive experiences for cultural heritage
Intelligent systems for waste collection, route optimization and monitoring
Computer vision for automatic waste management
AI for waste production forecasting and resource planning
Green AI and sustainable computing for environmental applications
AI for Intelligent transportation systems and traffic management
AI-assisted urban planning and resource management
Digital twins for production process optimization
Adaptive and personalized learning systems
AI for accessibility and inclusion in digital education
Interpretability and transparency of AI systems in critical contexts
Human-machine interfaces for AI systems in application contexts
Important Dates
Nov 2, 2025: Due date for full workshop papers submission
Nov 11, 2025: Notification of paper acceptance to authors
Nov 23, 2025: Camera-ready of accepted papers
Dec 8-11, 2025: Workshop
Paper Submission
Authors are invited to submit full papers (maximal 10 pages) or short papers (maximal 6 pages) with references included in the IEEE 2-column format.
Templates for LaTex, Word and PDF can be found at
(https://www.ieee.org/conferences/publishing/templates.html).
All papers must be submitted via the conference submission system for the workshop at:
https://wi-lab.com/cyberchair/2025/bigdata25/scripts/submit.php?subarea=S42
At least one author of each accepted paper is required to attend the workshop virtually and present the paper. All the accepted papers by the workshops will be included in the Proceedings of the IEEE Big Data 2025 Conference (IEEE BigData 2025) which will be published by IEEE Computer Society.
Program Chairs
Ester Zumpano, DIMES - University of Calabria, Italy
Luciano Caroprese, InGeo, University "G. d'Annunzio" of Chieti-Pescara
Eugenio Vocaturo, CNR-Nanotec
Tommaso Ruga, DIMES - University of Calabria, Italy
Program Committee Members (tentative)
Luciano Caroprese, InGeo, University "G. d'Annunzio" of Chieti-Pescara
Eugenio Vocaturo, CNR Nanotec, Italy
Ester Zumpano, DIMES, University of Calabria, Italy
Tommaso Ruga, DIMES, University of Calabria
Agostino Forestiero, ICAR-CNR, Italy
Maira Aracne, InGeo, University "G. d'Annunzio" of Chieti-Pescara
Geeta Rani, Department of Computer and Communication Engineering, Manipal University Jaipur, India
Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France
Vijaypal Singh Dhaka, Department of Computer and Communication Engineering, Manipal University Jaipur, India
Luigi Pontieri, ICAR-CNR, Italy
Carmela Comito, ICAR-CNR, Italy
Oscar Tamburis, Università degli Studi di Napoli Federico II
Francesco Lamonaca, DIMES, University of Calabria
Tejaswani Dash, Tech Lead GenAI Solution Engineer, Capital Group
Fabiola De Marco, University of Salerno , Italy
Steering Committee Members
Ester Zumpano, DIMES - University of Calabria, Italy
Luciano Caroprese, InGeo, University "G. d'Annunzio" of Chieti-Pescara
Eugenio Vocaturo, CNR-Nanotec
Tommaso Ruga, DIMES - University of Calabria, Italy
SCHEDULE (Macau time zone)
14:00 Workshop Introduction: Ester Zumpano, Luciano Caroprese, Eugenio Vocaturo, Tommaso Ruga
Session 1 - Chair: Luciano Caroprese
14:15 – 14:30 S42215, A Conversational Agent for Rare Eye Disease Knowledge Support in Local Italian Healthcare Contexts: The ELENA Framework, Tommaso Ruga, Luciano Caroprese, Eugenio Vocaturo, and Ester Zumpano
14:30 – 14:45 S42206, Evaluating the Few-Shot Performance of Large Language Models for Classifying Clinical Risk Factors in Mental Health Text, Salim Sazzed, Rafe Sumnan Azade, Farhan Noor Dehan, and Md Ehashan Rabbi Pial
14:45 – 15:00 BigD671, Rule-Guided, Cost-Sensitive LLMs for Optimal Maternal Ambulance Dispatch Triage in Resource-Constrained Settings, Tripti Garg, Durga Toshniwal, and Manoranjan Parida
15:00 – 15:15 S42212, Scalable Deep Learning for Greenland Ice Bed Topography Prediction, Homayra Alam, Bayu Adhi Tama, Sikan Li, Mostafa Cham, Omar Faruque, and Jianwu Wang
15:15 – 15:30 S42211, Explaining Pretrained Language Models in the Context of Higher Education, Kevin Chovanec, John Fields, and Praveen Madiraju
15:30 – 15:45 S42210, ApplicantAI: Transforming Resume Creation, Leveraging LLMs for Job Applications, Dustin Yan, Melody Moh, and Teng-Sheng Moh
15:45 – 16:00 S42209, Feature Drift-Guided Adaptive ML Retraining: An MLOps Approach for Big Data Analytics, Md Nahid Parves Shakil, Md. Saiful Islam, Nasimul Noman, and Marcella Papini
16:00 - 16:15 S42208 , Early detection of Harmful Algal Blooms using Machine Learning, Anirban Acharya, Thilanka Munasinghe, and Kevin Rose
16:00 – 16:30 Virtual Coffee Break
Session 2 - Chair: Maira Aracne
16:30 – 16:45 S42202, Past to Plan: LLM-Powered Personalized Travel via Mobility Patterns, Hasaan Ahmed, Huong Nguyen, Amirhossein Ghaffari, Ekaterina Gilman, and Lauri Lovén
16:45 – 17:00 S42207, Reflection: A Graph-Based Journaling System for Emotional Navigation Using Intelligent Pathfinding, Manodhya Opallage and Quazi Abidur Rahman
17:00 – 17:15 S42203, AI-driven Log Analysis: Advances and Challenges, Yongheng Wang, Wensheng Gan, and Philip S. Yu
17:15 – 17:30 S42205, Green AI for Healthcare: Efficient ECG Biometrics through Model Compression, Domenico Rossi, Alessia Auriemma Citarella, Fabiola De Marco, and Genoveffa Tortora
17:30 – 17:45 BigD916, PaVeRL-SQL: Text–to–SQL via Partial–Match Rewards and Verbal Reinforcement Learning, Heng Hao, Wenjun Hu, Oxana Verkholyak, Davoud Ataee Tarzanagh, Baruch Gutow, Sima Didari, Masoud Faraki, Hankyu Moon, and Seungjai Min
17:45 - 18:00
Closing Remarks