| Registration Type | Indian Nationals (INR) Early Bird Registration |
Indian Nationals (INR) Late Registration |
Foreign Nationals (USD) |
|---|---|---|---|
| Co-Authors / Attendees | 2000 | 2500 | 100 |
| Research Scholars/Post Doc/UG/PG | 6000 | 6500 | 150 |
| Academicians | 7000 | 7500 | 200 |
| Industry Professionals | 8000 | 8500 | 200 |
Countdown
About ICGCPA
About
The VIPS-TC, School of Engineering & Technology is going to organize the "International Conference on "International Conference on Generative Artificial Intelligence, cryptography and Predictive Analytics 2025 (ICGCPA-2025) in May 2025. The aim of ICGCPA 2025 is to serve as a comprehensive forum for the exchange of ideas and advancements in the dynamic field of Generative AI, Cryptography and Predictive Analytics. It will facilitate the promotion of exchange of ideas between interested researchers, students, industrialist, developers and practitioners. The conference will also have plenary talks, workshops and parallel technical sessions. This conference endeavors to highlight Generative AI's role in Problem Solving, machine learning algorithms, image processing, healthcare, and optimization challenges. Another pivotal objective involves addressing Cryptography and Responsible AI, focusing on ethical considerations, bias mitigation, and the prevention of malicious use, while also staying abreast of emerging trends and potential applications. It also explores the integration of Generative AI and Analytics, showcasing its application across diverse domains such as business, finance, cybersecurity, and sustainability. ICGCPA 2025 will be organized by Department of Computer Science, VSE&T, VIPS-TC on 16-17th May 2025. All the accepted papers are published by Springer Scopus Indexed Series (approval awaited).
About VIPS
About
Vivekananda Institute of Professional Studies (VIPS) is a reputed institute that is situated in Pitampura, New Delhi, India. The Institute is affiliated with Guru Gobind Singh Indraprastha University (GGSIPU). The institute was established in 2000 by Dr. S. C. Vats, who is an educationalist and a great philanthropist. VIPS is approved by the All India Council for Technical Education (AICTE) . It has been accredited by the National Assessment and Accreditation Council (NAAC) with an A++ grade. The institute is centrally air-conditioned and provides students with all of the cutting-edge facilities to students to excel in their career considering the most recent educational trends and technology. The institute offers state-of-art facilities for students to study and excel in these programs. VIPS-TC School of Engineering and Technology is built on the vision and teachings of Swami Vivekananda, to sharpen intellect, chisel character and harness possibilities of tomorrow through a rigorous curriculum, innovative pedagogy and holistic growth approach.
Tracks
Tracks
- • Evolution of Generative Models
- • Introduction to generative models (GANs, VAEs, etc.).
- • Development and evolution of generative models.
- • Transfer learning and fine-tuning for generative models.
- • Progressive GANs and training stability.
- • Prompt Engineering and Generative AI.
- • Reinforcement learning in generative models.
- • Using generative models for creative design processes.
- • Generative AI for interactive experiences.
- • Human-AI collaboration in creative processes.
- • Making generative models more interpretable.
- • Understanding and explaining decisions made by generative models.
- • Cross-disciplinary Collaboration between generative AI and other fields (e.g., art, science, finance).
- • Time Series Analysis with Generative Models.
- • Bayesian Generative Models.
- • Quantum Generative Models.
- • Generative AI and Internet of Things.
- • Generative AI and Big Data Analytics.
- • Image synthesis and manipulation.
- • Generative AI in content creation.
- • Text generation and natural language processing.
- • Video generation and deepfake technology.
- • Music and audio synthesis.
- • Generative AI in healthcare.
- • Robotics and automation.
- • Applications of generative design in architecture and engineering.
- • Solving optimization problems using generative models.
- • Decision support systems with generative AI.
- • Augmented Reality and generative AI.
- • Generative AI in Education.
- • Graph Neural Networks (GNNs) and Applications.
- • Generative AI for Personalisation and Recommendation Systems.
- • Generative AI for Sustainable Development.
- • Ethical issues in generative models.
- • Addressing biases in generated content.
- • Ethical implications of deepfakes.
- • Detecting and preventing malicious use of generative models.
- • Security challenges in the era of deepfakes.
- • Emerging trends in generative AI research.
- • Potential applications on the horizon.
- • Differential Privacy in Machine Learning
- • Foundations of Data Science
- • Learning Techniques and Applications
- • Big Data Analytics and Processing
- • Predictive Modeling and Forecasting
- • Natural Language Processing and Text Analytics
- • Computer Vision and Image Analytics
- • Explainable AI and Model Interpretability
- • Ethics and Responsible AI in Predictive Analytics
- • Deep Learning Advances
- • Data Visualization and Storytelling
- • Human-AI Collaboration and Augmented Analytics
- • Real-Time Analytics and Stream Processing
- • Data Engineering and Pipeline Automation
- • Reinforcement Learning and Optimization
- • Data Ethics, Privacy, and Security
- • Personalization and Recommendation Systems
- • Geospatial Data Science and GIS Analytics
- • Predictive Analytics in Healthcare
- • Data Science for Smart Cities and IoT
- • Emerging Trends in Predictive Analytics
- • Cryptography in Mobile and Wireless Communications
- • Watermarking and Steganography
- • Multimedia Security
- • Public key and conventional algorithms and their implementations
- • Cryptanalytic attacks and Cryptographic protocols
- • Pseudo-random sequences
- • Digital signature and key management
- • Privacy and security in healthcare
- • IOT security
- • Cryptography in Financial Technologies
- • Quantum Cryptography
- • Differential Privacy
Important Dates
Important Dates
01
Opening of the Submission Portal
02
Full Paper Submission Deadline
03
Notification of acceptance
04
Camera Ready Submission
05
Last Date of Registration
06
Conference Date
REGISTRATION DETAILS
REGISTRATION
Speakers
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Speakers