Privacy Policy & Guidelines

Last Updated: January 1, 2026

Welcome to the Deep Innovation Processing (DIP) Lab. We are a research laboratory based at King Mongkut's Institute of Technology Ladkrabang (KMITL), dedicated to advancing the fields of Computer Vision, Generative AI, Natural Language Processing, and Speech Processing.

This policy outlines our commitment to integrity, privacy, and ethical standards in all our research activities and digital interactions. By accessing our website or collaborating with our lab, you agree to the practices described herein.

As an academic research entity, we uphold the highest standards of scientific integrity:

• Authenticity: All published results are based on genuine experimental data. We strictly prohibit fabrication, falsification, and plagiarism.
• Human Subjects: Any research involving human participants operates under strict ethical guidelines, ensuring informed consent and the protection of participant rights and safety.
• Collaboration: We value open collaboration and properly credit all contributors, including students, faculty, and external partners, in our publications and projects.

We collect minimal data necessary for our research and communication purposes. This may include:

• Visitor Information: Basic analytics (e.g., cookies) to understand how our research is being accessed and to improve our website experience.
• Inquiries: Contact information (Name, Email) voluntarily provided when you reach out to us for collaboration or student applications.
• Research Data: Anonymized datasets used for training and validating AI models. We do not use personal data for model training without explicit consent and anonymization protocols.

We implement industry-standard security measures to protect data integrity:

• Secure Storage: All research data and lab records are stored on secure, access-controlled servers within KMITL infrastructure or compliant cloud providers.
• Access Control: Access to sensitive lab data is restricted to authorized lab members and principal investigators.
• No Third-Party Sharing: We do not sell, trade, or rent your personal identification information to others. Data is only shared for academic collaboration purposes with your explicit consent.

Physical and digital access to DIP Lab resources (including high-performance computing clusters) is a privilege granted to active members. Members are responsible for maintaining the security of their credentials and using resources solely for authorized research activities.

Contact Us

For any questions regarding this policy or our research activities, please contact us:

Email: diplab.info.cekmitl@gmail.com

Location: Department of Computer Engineering, Faculty of Engineering, KMITL, Bangkok, Thailand.