International Conference on
AI - Driven Intelligent Systems for Sustainable Application (AISSA) - 2026
Orgainized By
MIT ADT University, Pune
HYBRID MODE
Call For Paper
The International Conference on AI-Driven Intelligent Systems for Sustainable Applications (AISSA) invites original, unpublished research contributions that explore the design, development, and deployment of intelligent systems powered by Artificial Intelligence for addressing sustainability challenges across diverse domains. The conference aims to bring together researchers, academicians, industry professionals, and policymakers to exchange ideas, present cutting-edge research, and discuss innovative AI-based solutions that promote sustainable development, responsible technology adoption, and societal well-being. AISSA encourages high-quality submissions that focus on theoretical foundations, algorithmic advancements, system architectures, real-world applications, and interdisciplinary approaches that leverage AI for sustainable and intelligent decision-making.
The conference welcomes contributions under (but not limited to) the following tracks:
Artificial Intelligence & Machine Learning Foundations
- Machine Learning and Deep Learning Algorithms
- Neural Networks and Explainable AI (XAI)
- Reinforcement Learning and Adaptive Systems
- Hybrid and Ensemble Intelligent Systems
- AI Model Optimization and Performance Enhancement
Intelligent Systems for Sustainable Development
- AI for Sustainable Development Goals (SDGs)
- Intelligent Decision Support Systems
- AI in Circular Economy and Resource Optimization
- Sustainable Computing and Green AI
- Energy-Efficient Algorithms and Systems
Smart Cities and Intelligent Infrastructure
- AI for Smart Cities and Urban Planning
- Intelligent Transportation and Traffic Management
- Smart Grids and Energy Management Systems
- IoT-enabled Intelligent Infrastructure
- AI for Water, Waste, and Resource Management
AI in Healthcare, Biomedical and Life Sciences
- Intelligent Healthcare Systems and Diagnostics
- Medical Image and Signal Processing
- AI for Public Health and Epidemiology
- Personalized Medicine and Clinical Decision Support
- Ethical AI in Healthcare Applications
Intelligent Systems in Agriculture and Environment
- AI for Precision Agriculture and Smart Farming
- Climate Change Modeling and Prediction
- Environmental Monitoring and Remote Sensing
- AI for Biodiversity and Ecosystem Management
- Sustainable Food Systems and Supply Chains
Data Science, Big Data Analytics & Knowledge Systems
- Big Data Analytics and Data Mining
- Intelligent Information Retrieval Systems
- Knowledge Representation and Reasoning
- AI-driven Predictive Analytics
- Cloud, Edge, and Distributed Intelligent Systems
Internet of Things (IoT), Cyber-Physical Systems & Robotics
- Intelligent IoT Systems and Applications
- Cyber-Physical Systems for Sustainability
- Autonomous Systems and Robotics
- Smart Sensors and Embedded Intelligence
- Human–Machine Interaction
AI for Business, Industry 4.0 & Smart Manufacturing
- Intelligent Automation and Industry 4.0
- AI in Supply Chain and Logistics
- Predictive Maintenance and Quality Control
- Smart Manufacturing Systems
- Digital Twins and Intelligent Industrial Systems
Ethical, Responsible and Trustworthy AI
- Responsible and Ethical AI Frameworks
- Fairness, Transparency, and Accountability in AI
- AI Governance, Policy, and Regulations
- Risk-aware and Secure Intelligent Systems
- Human-centric and Sustainable AI Design
Emerging Trends and Interdisciplinary Applications
- Generative AI and Large Language Models
- AI in Education and Smart Learning Systems
- AI for Social Good and Inclusive Technologies
- Cross-disciplinary AI Applications
- Future Directions in Intelligent and Sustainable Systems
Review Process
- All submitted papers will be reviewed by at least 2 independent reviewers. Additional reviewers will be consulted if required.
- All papers will undergo a plagiarism check, and the similarity index must not exceed 10%.
- The AI detection report must show 0% AI-generated content, and all images must be original or editable (no AI-generated tools allowed).
- All papers must be formatted according to the Springer template.
- Paper acceptance will be based on originality, significance, technical soundness, and clarity of presentation.
- Authors must make sure that they submit previously unpublished papers to this conference.
Participation & Awards
- All accepted papers that are presented will be awarded a presentation certificate.
- The Best Paper Certificate will be awarded to the author(s) of the paper selected as the best submission, based on reviewers’ evaluations and the recommendations of the session chair.
VISION
MIT Art, Design and Technology University aspires to be the University of Eminence by amalgamating Art, Design, Science and Technology. The University aims to have a transformative impact on society through holistic education, multidisciplinary research ethos, innovation and entrepreneurial culture.
MISSION
The Mission of MIT Art, Design and Technology University is to provide impetus to faculty, learners, and staff by developing their innate intellectual capabilities, creative abilities and entrepreneurial mind-set for the socio-economic development of the nation.
We empower learners to become adaptive and agile global professionals
through unique specialized programs building academia-industrial
partnership.
We nurture learners to be intellectually curious, technologically equipped, mentally sound, physically fit, spiritually elevated, socio-culturally sensitive, environmentally conscious through continuous holistic education for the ever-evolving world.
We provide technology-enabled learner-driven curriculum, value added courses, simulated learning environments, state-of-the-art infrastructure and opportunities for community engagement.
ADDRESS
Rajbaugh, Loni Kalbhor, Near Bharat Petrol Pump, Solapur Highway, Pune – 412201, Maharashtra, India,
located in a scenic campus near the Loni Kalbhor Railway Station.