For Authors
All accepted and presented quality papers will be published in the conference proceedings with an ISBN number. Selected papers will be forwarded for further evaluation in Scopus-indexed journals.
Authors are encouraged to contribute research papers, review articles, and case studies that highlight recent innovations, practical implementations, or theoretical breakthroughs in the following thematic areas:
Track 1: Artificial Intelligence, Machine Learning & Data Science
- π§ AI/ML algorithms, deep learning architectures, reinforcement learning
- β¨ Generative AI, Large Language Models (LLMs), multimodal AI
- π Data mining, big data analytics, data engineering
- π Predictive analytics, forecasting models, decision intelligence
- π AI for industry transformation, smart services & automation
- π¬ Natural Language Processing (NLP), speech recognition, computer vision
- βοΈ Ethical AI, algorithmic bias, fairness & transparency
- π AI deployment frameworks, MLOps, scalable AI systems
Track 2: Cyber-Physical Systems, IoT & Industry 5.0
- βοΈ Cyber-physical infrastructure, intelligent automation
- π Internet of Things (IoT), IIoT, sensor networks
- π₯οΈ Edge computing, fog computing & real-time digital architectures
- π€ Robotics, autonomous systems, humanβmachine collaboration
- π Digital twins, simulation modelling & smart manufacturing
- ποΈ Industry 4.0/5.0 process integration, smart factories
- π Embedded systems, microelectronics, mechatronics innovation
- π± Smart agriculture, smart energy & smart city ecosystems
Track 3: Digital Law, Cybersecurity, Legal Technologies & Policy Innovation
- π Cyber Law, Data Protection & Privacy Regulations (GDPR, PDP Bill, etc.)
- π Digital contracts, e-governance law, admissibility of digital evidence
- π‘ Intellectual Property Rights (IPR) in the digital/AI era
- π€ Legal aspects of AI, robotics, autonomous systems & algorithmic decision-making
- βοΈ Blockchain regulations, cryptocurrency policy, digital finance law
- π΅οΈ Cybercrime investigation frameworks & digital forensic methodologies
- βοΈ Legal Tech: AI in legal research, court automation, e-filing systems
- ποΈ Public policy for digital governance, DPI frameworks & cyber resilience
Track 4: Digital Business, FinTech, Management & Entrepreneurship
- π Digital business models, platform economy, e-commerce innovation
- π³ FinTech systems, blockchain in finance, digital payments & RegTech
- π₯ Digital HR, HR analytics, AI-enabled talent management
- π£ Marketing analytics, consumer behaviour modelling, AI-driven personalization
- π Supply chain digitization, logistics analytics, ERP/CRM innovation
- π Digital entrepreneurship, start-up ecosystems & innovation management
- βοΈ Technology-enabled strategy, competitive advantage & value creation
- π Business intelligence, KPI dashboards & decision support systems
Track 5: Digital Education, Digital Health & Technology-Enabled Society
- π EdTech platforms, AI-driven personalized learning, adaptive assessment
- πΆοΈ Immersive technologies in education (AR/VR/XR), gamified learning
- π Digital pedagogies, online learning ecosystems, digital literacy
- π©Ί HealthTech innovations, telemedicine, AI in diagnostics & clinical decision support
- πΎ Electronic health records, smart health systems & ICT in healthcare
- βΏ Assistive technologies for disability inclusion & elderly care
- π Digital inclusion, accessibility frameworks & citizen-centric technologies
- π€ Technology-enabled community systems & socio-technical innovation
Track 6: Sustainable Digital Innovation & Future Research Frontiers
- π Climate informatics, AI/IoT for environmental monitoring
- β‘ Green computing, energy-efficient systems, carbon-aware data centers
- π Smart grids, renewable energy technologies & digital energy solutions
- π― ICT for Sustainable Development Goals (SDGs)
- βοΈ Ethical, social & environmental implications of digital transformation
- π Digital-driven sustainability policy, ESG analytics & impact reporting
- 𧬠Emerging global technologies (quantum computing, biotech-AI, neurotech)
- π Interdisciplinary studies on digital futures & societal readiness
NOTE:
The above categories are indicative and not exhaustive. Researchers are encouraged to select topics of their choice that align with the central theme of Emerging Challenges and Research Frontiers in Digital Transformation