8th IEEE International Workshop on Advances in Artificial Intelligence and Machine Learning (AIML 2025): Futuristic AI and ML models & Intelligent Systems
The goal of the workshop
The goal of the workshop, eighth in the series at COMPSAC, is to foster interaction and information exchange among AI researchers and practitioners from academia and industry, on the safe, reliable and trustworthy application of Artificial Intelligence (AI) and Machine learning (ML) in real-world applications.
The workshop aims at: presenting a variety of novel AI applications, case studies and large-scale validation of AI technologies; examining risks and concerns of AI and ML; outlining practical challenges in formulating an AI strategy; discussing AI for Good initiatives; AI & ML for better future; addressing topics such as explainable AI, algorithmic fairness, trust and reliability; and discussing challenges related to AI safe and robust deployment; AI on chip; new generation AI/ML models; Sustainable AI; AI for sustainability; testing/validation and certification; Generative AI; Ethical frameworks for AI; AI for sustainable growth; AI for sustainable supply chains; futuristic AI models; quantum ML models; Edge and tiny ML models.
Workshop theme
After decades of generous promises and frustrating disappointments, artificial intelligence (AI) is now delivering real-world benefits, and adopters in businesses and industry in different sectors are embracing the promise of AI, reaping significant benefits. AI is now more pervasive and influencing all aspects of human life. The landscape of AI and ML is evolving beyond traditional supervised learning and deep neural networks, towards more sophisticated models capable of understanding and generating a richer range of information. The vision for the future of AI and ML revolves around building systems that are not only smarter but also more adaptive, autonomous, and capable of seamlessly interacting with their environments and humans. This futuristic AI and ML models promises to push the boundaries of what is possible, transforming industries, solving complex challenges, and enhancing the human experience.
This workshop seeks to explore the latest advancements in AI and Machine Learning models and their seamless integration into next-generation intelligent systems. It aims to not only highlight the latest technological advancements but also to envision how these models and intelligent systems will shape industries, cities, and the fabric of everyday life.
This year workshop is also aligned with COMPSAC 2025 theme, “Harnessing the power of Intelligent Systems: Shaping the future.”
Scope of the workshop
This workshop will facilitate much needed interaction and information exchange among AI researchers, practitioners and business executives. It will provide an interactive forum for discussion on recent and ongoing developments, key issues and challenges, and practices related to AI applications. It will also serve as a platform to present case studies and discuss application to experience as well as to demonstrate applications and AI tools. Researchers and practitioners from all over the world, from academia, industry, and government will be invited to present their work and perspectives and participate in the workshop. Participants will gain insights into the strategies and tools that will drive the development of AI and ML towards a more autonomous, adaptive, and ethically aware future.
Topics of interest include, but are not limited to:
- Advances in AI and machine learning, deep learning, cognitive computing, intelligent agent, chatbot
- AI strategy for business and industry
- AI applications in industry, business, healthcare, and education and training
- AI in the fight against pandemics.
- AI in government
- AI for social good
- AI in legal practice, and legal aspects of AI (liability, etc)
- AI for enhancing information security and privacy
- Work in the age of AI
- Trust, resilience, privacy and security issues in AI applications
- Testing and validation of AI and ML applications
- Risks, limitations, and challenges of AI and ML
- Legal, regulatory, ethical aspects of AI
- AI: promise vs practice
- Societal implications of the rise of AI
- AI and blockchain
- Human-centered AI
- Explainable AI
- Responsible AI
- Trustworthy AI
- Human-machine co-existence and collaboration
- Intelligent, autonomous robots and cars
- Industry 4.0
- Smart society
- AI and IoT
- Case studies, experience reports, lessons learned
- Overview of AI activities in a region/country
- The Future of AI
- Adversarial ML & Deep Fakes
- Secure AI models
- Scalability of ML models
- Lightweight ML models / ML for edge devices
- Quantum ML
- AI for Sustainable development goals.
- Generative AI
- AI for better and sustainable future
- AI based precision agriculture
- AI for greener future
- AI for sustainable supply chains
- AI for sustainable resource use
- AutoML models
- Casual ML models
- Self-repairing and resilient intelligent systems
Workshop organizer(s)
Aswani Kumar Cherukuri
Vellore Institute of Technology, India
Email: cherukuri@acm.org
San Murugesan
BRITE Professional Services, Australia
Email: san1@internode.net
Arghya Kusum Das
University of Alaska Fairbanks, USA
Email: akdas@alaska.edu
Program Committee
Antonio Vetrò
Politecnico di Torino, Italy
Ashraf Elnagar
University of Sharjah, Arab Emirates
Darshika G. Perera
University of Colorado, USA
Debasis Ganguly
University of Glasgow, United Kingdom
Firuz Kamalov
Canadian University Dubai, UAE
Gang Li
Deakin University, Australia
Gianfranco Politano
Politecnico di Torino, Italy
Ivan Donadello
Libera Università di Bolzano, Italy
Jan Hidders
Birkbeck University of London, United Kingdom
Jinhai Li
Kunming University of Science and Technology, China
Juan A. Álvarez-García
University of Seville, Spain
Kenichi Yoshida
Tsukuba University, Japan
Kozo Ohara
Aoyama Gakuin University, Japan
Lia Morra
Politecnico di Torino, Italy
Luigi Troiano
University of Salerno, Italy
Maria R. Lee
Shih Chien University, Taiwan
Michael Eiden
Arthur D Little, UK
Min Xu
Carnegie Mellon University, USA
Mohan K
Bavirisetty, CISCO, USA
Mufti Mahmud
Nottingham Trent University, United Kingdom
Muhammad Naveed Aman
University of Nebraska-Lincoln, USA
Paula Brito
Universidade do Porto, Portugal
Praveen Kumar Donta
Vienna University of Technology, Austria
Sambit Bakshi
NIT Rourkela, India
Santosh Kumar Ray
Khawarizmi International College, UAE
Saqib Hakak
University of New Brunswick, Canada
Shalini Kurapati
Clearbox AI, Italy
Shaoshan Liu
PerceptIn, USA
Silvia Delsanto
Jato Dynamics, Italy
Sriram Chellappan
University of South Florida, USA
Sydney Kasongo
Stellenbosch University, South Africa
Tad Gonsalves
Sophia University, Japan
Tania Cerquitelli
Politecnico di Torino, Italy
Tran Duc Tan
Phenikaa University, Vietnam
Uttam Ghosh
Vanderbilt University, USA
Vijayalakshmi Saravanan
University of South Dakota, USA
Voliansky Roman
National Technical University, Ukraine
Xiaolong Zheng
Institute of Automation Chinese Academy of Sciences, China
Yulei Wu
University of Exeter, United Kingdom
Yunji Liang
Northwestern Polytechnical University, P.R.China
Yuriy Dyachenko
Ukranian National University, Ukraine
Important Dates
UPDATED: Full symposium papers due
January 31, February 15, February 28, 2025
Symposium paper notification
April 7, 2025
Workshop papers due
April 15, 2025
Workshop papers notification
May 1, 2025
Camera-ready copy
June 1, 2025
Conference Dates
July 8-11, 2025
Paper Templates
IEEE Paper templates are available in MS Word 2003 and LaTex. All submissions must use US 8.5×11 letter page format.
IEEE Conference Publishing Policies
All submissions must adhere to IEEE Conference Publishing Policies.
IEEE Cross Check
All submission will be screened for plagiarized material through the IEEE Cross Check portal.