Dr. Daniel Francis Selvaraj J - Professor

Dr. Daniel Francis Selvaraj J

Professor

Biography

Dr. Daniel Francis Selvaraj Jayapalan is a distinguished academician, researcher, and corporate trainer with over eighteen years of experience in academia, industry, and professional development. He currently serves as a Professor in the Department of Computer Science and Engineering at a reputed engineering institution in Bhatkal, Uttara Kannada, where he plays a pivotal role in nurturing future technologists and driving innovation in computing education.

Dr. Jayapalan holds a Ph.D. in Computer Science and Engineering from Anna University (2024). His doctoral research focuses on advanced computational models and optimization in cloud and deep learning systems. His scholarly contributions include three SCI-indexed research publications in high-impact factor journals and six Scopus-indexed publications, addressing cutting-edge topics such as artificial intelligence, cloud infrastructure optimization, and intelligent software engineering systems. These publications have earned citations and recognition from peers in both academia and industry.

An accomplished author, Dr. Jayapalan has written a book on Cloud Computing, which serves as a comprehensive guide for students and professionals in understanding distributed computing paradigms and virtualization technologies. His expertise extends across several core domains, including deep learning, software engineering, design thinking, cloud computing, and operating systems.

Beyond academics, Dr. Jayapalan has demonstrated excellence as an AWS Technical Trainer and corporate learning consultant, delivering customized training programs for IT professionals and engineering graduates. He has collaborated with major technology firms such as Infosys, Cognizant Technology Solutions (CTS), and Tata Consultancy Services (TCS). Notably, he contributed to the TCS–Computer Science and Business Systems (CSBS) program, which integrates computational and business intelligence concepts to create multidisciplinary learning outcomes.

In his role as a Learning and Development Coordinator, Dr. Jayapalan has designed corporate training modules, conducted client-based curriculum design sessions, and implemented skill-development frameworks aligned with industry demands. His passion for teaching is complemented by his dedication to curriculum modernization — having actively participated in Boards of Studies to align academic content with emerging technologies and global educational standards.

Dr. Jayapalan’s innovative mindset is reflected in his registered design patent, underscoring his commitment to technological creativity and applied research. He also holds professional certifications including Cisco’s CCENT and ISTQB, strengthening his foundation in networking and software quality assurance.

His research and training philosophy emphasize practical applicability, continuous learning, and innovation-driven growth. As a GATE-qualified professional, he brings both academic depth and industrial perspective to every initiative he leads.

With a career characterized by scholarly excellence, impactful teaching, and a strong industry interface, Dr. Daniel Francis Selvaraj Jayapalan continues to be an influential voice in the fields of computer science, artificial intelligence, and cloud technologies. His contributions — through publications, patents, training, and curriculum development — have made a lasting impact on education, research, and professional development across academia and the corporate sector

Research Interests

Research in Artificial Intelligence and Machine Learning focuses on developing intelligent systems capable of learning, reasoning, and decision-making with minimal human intervention. This field explores algorithms that enable machines to identify patterns, process complex data, and adapt dynamically to new situations. Current research emphasizes deep learning architectures, natural language processing, computer vision, and reinforcement learning, aiming to enhance automation, prediction accuracy, and cognitive capabilities across diverse domains. In recent years, AI and ML research has expanded toward ethical AI, explainability, and model optimization, ensuring that intelligent systems are transparent, efficient, and aligned with human values. These innovations are transforming industries such as healthcare, finance, manufacturing, and education — enabling data-driven insights and intelligent automation that shape the future of technology.

Subjects Handled

BCS515B - Artificial Inteligence V

Contact Information

Phone

8148164343

Office Hours

Monday to Friday: 10:00 AM - 4:00 PM