0000-0002-9241-3501 About
Dr. B. P. Pradeep Kumar is an accomplished educator, researcher, and academic leader dedicated to transforming engineering education through innovation, research excellence, and industry-driven learning. With over 15 years of experience in higher education, he has consistently worked toward bridging the gap between academia, research, and industry by fostering a culture of project based learning, interdisciplinary collaboration, and technological innovation.
As a Professor at Atria Institute of Technology, Dr. Kumar has played a pivotal role in mentoring students, developing outcome-based education frameworks, and integrating emerging technologies such as Quantum Computing, and Healthcare Informatics, Artificial Intelligence, Machine Learning, Data Analytics, IoT into academic curricula. His vision extends beyond traditional classroom teaching, emphasizing innovation, entrepreneurship, research-driven learning, and skill development.
Dr. Kumar has established Centers of Excellence, clubs in advanced technologies like AI and quantum computing, organized numerous working professionals Programs , hackathons, workshops, and research initiatives, enabling students and faculty to gain hands-on exposure to cutting-edge technologies. He actively promotes industry-academia partnerships, startup incubation, and collaborative research ecosystems that prepare learners for the demands of the digital economy.
A prolific researcher, he has published over 100+ research papers, authored several books, and filed 15 patents. His contributions span quantum machine learning, artificial intelligence, healthcare analytics, biomedical image processing, intelligent systems, and smart technologies. He is also a recognized research supervisor who has guided numerous undergraduate, postgraduate, and doctoral scholars, nurturing the next generation of innovators and researchers.
Beyond academics, Dr. Kumar is deeply committed to inclusive education and social impact. He has championed scholarship initiatives for economically disadvantaged students, mentorship programs for aspiring engineers, and community-oriented technology projects. His efforts focus on empowering learners with the knowledge, skills, and mindset required to become responsible professionals and future leaders.
Through his unwavering commitment to educational transformation, research excellence, innovation, and societal development, Dr. B. P. Pradeep Kumar continues to shape a vibrant learning ecosystem that inspires students, educators, and researchers to create meaningful technological solutions for global challenges. His mission is to cultivate future-ready talent capable of driving sustainable growth, technological advancement, and positive societal change.
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Publications (220)
- Deep neural network and hidden markov model hybrid automatic speech recognition system for recognizing spontaneous Kannada proverb’s with perspectives on the future of ASR research Save
- AI driven hybrid convolutional and transformer based deep learning architecture for precise lung nodule classification Save
- AI-Augmented Complexity Learning: Design, Automation, and Learning Impact for Conceptual Mastery in Derandomization Through Intelligent Tutoring and Real-Time Feedback Save
- Comparative Analysis of Deep Learning Models for Diabetes Prediction Save
- Physics-Guided Quantitative DCE-MRI and Interpretable Image Retrieval for Intravascular Contrast Kinetics Assessment in Prostate Malignancy Save
- Quantitative Learning Impact Modelling of AI-Integrated Module-Level Project-Based Learning in a Multimodal Data Omics Course: A Case Study Save
- Real-Time AI-Assisted Error Feedback System and Copilot for MATLAB Programming in Core Engineering Courses: A Comparative Analysis Save
- Uncovering the Hidden Layers of Thinking: Extended Computational Thinking (CT) Strategies in Problem-Based Classrooms Learning Save
- A Hybrid Approach for Vehicular Spectrum Allocation Using Artificial Neural Networks with Autoencoders and CSI Feedback Save
- Optimized anti-interference dynamic integral neural network approach for dementia prediction in health care Save