Organized by: Department of Artificial Intelligence and Data Science
Institution: Dr. Akhilesh Das Gupta Institute of Professional Studies (ADGIPS), New Delhi
Date of Visit: 8 October 2026
Time: 9:00 AM onwards
Venue: CSIR–National Physical Laboratory (NPL), New Delhi

1. Introduction

The Department of Artificial Intelligence and Data Science at Dr. Akhilesh Das Gupta Institute of Professional Studies (ADGIPS), New Delhi, organized an industrial visit to the CSIR–National Physical Laboratory (NPL), New Delhi, on 8 October 2026. The visit was intended to provide students with practical exposure to scientific research, advanced laboratory facilities, technological innovation, and the application of scientific principles in real-world settings.

The visit offered an opportunity to connect classroom learning with practical applications and to familiarize students with the research environment of a premier national scientific institution under the Council of Scientific and Industrial Research (CSIR).

2. Objectives of the Visit

The major objectives of the industrial visit were:

• To provide students with exposure to a professional scientific research environment.
• To understand the role of CSIR–NPL in scientific research, measurement science, and technological development.
• To explore the relevance of emerging technologies, data analysis, and computational techniques in scientific research.
• To encourage students to develop a research-oriented mindset and an interest in innovation.
• To bridge the gap between theoretical knowledge and practical applications.

3. About CSIR–National Physical Laboratory

CSIR–National Physical Laboratory is a premier national laboratory under the Council of Scientific and Industrial Research, Government of India. It plays an important role in advancing measurement science, maintaining national measurement standards, conducting scientific research, and supporting industrial and technological development.

The laboratory contributes to research and innovation across various scientific and engineering domains. Its work highlights the importance of precision, experimentation, reliable measurements, and technological advancement in modern scientific applications.

4. Visit Activities and Learning Exposure

The industrial visit was planned to familiarize students with the functioning of a national research laboratory and the importance of scientific investigation in technological progress. The visit provided a platform for students to relate their academic knowledge to research-oriented applications.

From the perspective of Artificial Intelligence and Data Science, the visit was particularly relevant for understanding how scientific research can benefit from computational methods, data processing, statistical analysis, and intelligent systems. Such exposure can help students appreciate the interdisciplinary nature of modern research and the growing importance of data-driven decision-making.

5. Learning Outcomes

The visit was designed to support the following learning outcomes:

1. Improved understanding of the functioning and significance of a national scientific research institution.
2. Greater awareness of research practices, scientific measurement, and technological innovation.
3. Recognition of the potential applications of Artificial Intelligence and Data Science in scientific and industrial domains.
4. Increased motivation to pursue research projects, internships, and interdisciplinary learning opportunities.
5. Development of a broader perspective on career opportunities in research, technology, and innovation.

6. Conclusion

The industrial visit to CSIR–National Physical Laboratory, New Delhi, was organized as an academic initiative by the Department of Artificial Intelligence and Data Science, ADGIPS, to promote practical learning and research awareness among students. The visit aimed to strengthen the relationship between academic concepts and their applications in scientific and technological environments.

Such educational initiatives play an important role in broadening students’ perspectives, encouraging innovation, and preparing them to address emerging challenges in Artificial Intelligence, Data Science, and related fields.

The Department appreciates the importance of such institutional visits in enhancing students’ academic experience and looks forward to organizing similar initiatives to promote experiential learning and professional development.