International FDP on Artificial Intelligence: A Multidisciplinary Perspective

Event Date: 19th Jan to 23rd Jan, 2026

Event brief description

The One-Week International Faculty Development Programme (FDP) titled “Artificial Intelligence: A Multidisciplinary Perspective”, organized by the Department of Artificial Intelligence and Data Science, School of Computer Science and Engineering, Galgotias University, was conducted from 19 to 23 January 2026. The FDP aimed to provide faculty members, researchers, and academicians with a comprehensive understanding of Artificial Intelligence and its transformative role across diverse domains.

The programme featured international and national experts from reputed universities, research institutions, and industry, who shared their expertise through interactive online and offline sessions. Key themes covered during the FDP included Generative AI, AI in healthcare and medical imaging, AI governance, cybersecurity and blockchain integration, optimization techniques, early warning systems, AI in insurance, pharmacy, agriculture, and food systems. Each session emphasized both theoretical foundations and real-world applications, fostering a multidisciplinary outlook.

The FDP encouraged knowledge exchange, collaborative learning, and exposure to emerging AI trends, tools, and best practices. Participants benefited from discussions on ethical AI, governance frameworks, and future research directions. Overall, the programme successfully enhanced participants’ academic and professional competencies, enabling them to integrate AI-driven approaches into teaching, research, and interdisciplinary problem-solving.

Event Detailed Description

The Department of Artificial Intelligence and Data Science (AIDS), under the School of Computer Science and Engineering (SCSE), Galgotias University, successfully organized a One-Week International Faculty Development Programme (FDP) titled “Artificial Intelligence: A Multidisciplinary Perspective” from 19th to 23rd January 2026. The programme was designed to strengthen the academic and research capabilities of faculty members, researchers, and professionals by providing in-depth exposure to contemporary developments and applications of Artificial Intelligence across multiple disciplines.

The primary objective of the FDP was to highlight the transformative impact of AI in diverse sectors such as healthcare, education, cybersecurity, agriculture, insurance, pharmacy, and environmental sustainability. The programme brought together renowned international and national speakers from prestigious universities and leading industries across the USA, UK, Taiwan, Peru, Australia, UAE, and India, offering participants a truly global academic perspective.

The FDP commenced with an expert session on Generative AI and its applications in biometrics and healthcare, emphasizing cutting-edge advancements and ethical considerations. Subsequent sessions covered AI applications in medical imaging, providing insights into diagnostic automation and clinical decision support systems. A dedicated session on AI governance for academic institutions addressed policy frameworks, responsible AI practices, and institutional readiness in higher education.

The programme also explored emerging intersections of AI with other technologies. Sessions on AI-enabled cybersecurity and blockchain integration for next-generation IoT security highlighted challenges and solutions in securing digital infrastructures. Industry-focused discussions on AI in the insurance sector showcased real-world use cases, risk assessment models, and automation strategies adopted by global enterprises.

Further sessions delved into optimization techniques, machine learning, and AI-driven engineering solutions, illustrating their relevance in industrial and medical applications. Environmental sustainability was addressed through a session on AI-based early warning systems for forest fires, demonstrating how data-driven intelligence can aid disaster prevention and resource management. Healthcare remained a key focus with discussions on AI applications in healthcare and pharmacy, highlighting drug discovery, predictive analytics, and personalized medicine.

The FDP concluded with a session on Next-Generation cybersecurity and IoT Innovations for Smart City Development, delivered by Dr. Sushil Kumar Singh, Associate Professor, Department of Computer Engineering, Marwadi University, Rajkot, Gujarat, India. 

Throughout the programme, participants actively engaged in discussions, Q&A sessions, and knowledge sharing, fostering interdisciplinary collaboration and critical thinking. The FDP successfully enhanced participants’ understanding of AI technologies, ethical considerations, and practical deployment strategies. Overall, the programme served as a valuable platform for capacity building, academic enrichment, and the promotion of innovative, AI-driven teaching and research practices aligned with global technological advancements.

Department Name –Department of Artificial Intelligence and Data Science, School of Computer Science and Engineering

Event Outcome 

Enhanced Conceptual Understanding of AI
Participants developed a strong foundational and advanced understanding of Artificial Intelligence, including generative AI, machine learning, optimization techniques, and AI governance, enabling them to keep pace with rapid technological advancements.
Multidisciplinary Application Awareness
The FDP enabled participants to explore AI applications across diverse domains such as healthcare, medical imaging, cybersecurity, agriculture, insurance, pharmacy, environmental monitoring, and education, fostering a multidisciplinary approach to problem-solving.
Exposure to Global Best Practices
Interaction with international experts from reputed universities and industry organizations provided participants with insights into global research trends, real-world case studies, and best practices in AI adoption and deployment.
Strengthening of Teaching Pedagogy
Faculty members gained practical knowledge and contemporary examples that can be integrated into classroom teaching, curriculum design, and laboratory practices, thereby improving the quality of AI-related education.
Research Capacity Building
The FDP motivated participants to identify new research problems, adopt AI-driven methodologies, and pursue interdisciplinary research collaborations, leading to improved research output and publication quality.
Awareness of Ethical and Responsible AI
Sessions on AI governance and ethics enhanced participants’ understanding of responsible AI usage, data privacy, transparency, and policy frameworks essential for academic and institutional implementation.
Industry–Academia Collaboration
Industry-oriented sessions strengthened participants’ understanding of industry expectations and practical challenges, paving the way for future collaborations, consultancy, and applied research projects.
Skill Enhancement for Real-World Applications
Participants improved their ability to analyze real-world problems and design AI-based solutions using modern tools, frameworks, and data-driven approaches.
Professional Networking and Collaboration
The FDP provided a platform for interaction and networking among academicians, researchers, and industry professionals at national and international levels, encouraging long-term academic partnerships.
Institutional and Societal Impact
The knowledge gained from the FDP equips participants to contribute towards institutional innovation, sustainable development, and societal problem-solving through AI-enabled solutions.

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