Dr. Rajan Thapaliya – Assistant Dean of Computer Science, Cybersecurity & IT
Dr. Rajan Thapaliya is a distinguished academic leader, award-winning professor, and a leading voice in Artificial Intelligence, Data Science, and Computer Science, known for his exceptional record of academic leadership and impact. Dr. Thapaliya served as Program Chair for the doctoral-level (DBA) program in Digital and Computer Science at Golden Gate University (GGU Worldwide). Recognized among the Top 20 Machine Learning Influencers in the United States by Influencer Hero, Dr. Thapaliya inspires students, researchers, and professionals worldwide. As a leader, Dr. Thapaliya plays a key role in advancing academic excellence, faculty development, curriculum innovation, accreditation-aligned program management, and student success across graduate and doctoral programs. His leadership experience spans program oversight, doctoral supervision, assessment, and strategic academic initiatives at institutional and program levels.
As a professor, Dr. Thapaliya teaches MS- and PhD-level courses in Data Science, Artificial Intelligence, Software Engineering, and Information Technology at universities across the United States. He also serves as a PhD Dissertation Chair and an SME, guiding doctoral candidates in advanced, interdisciplinary research in cutting-edge technology areas. Dr. Thapaliya also serves as an academic editor and peer reviewer for multiple journals and publishing platforms.
Dr. Thapaliya earned both his Master’s degree and PhD in Data Science from National University of California. He also holds an MBA & MPH, providing a multidisciplinary foundation that bridges technology, business leadership, and health systems, an asset in academic administration and strategic decision-making.
Beyond academia, Dr. Thapaliya brings substantial industry and assessment experience. He has served as a Subject Matter Expert in the Engineering and Technology Department at Prometric, a globally recognized assessment organization, and has held roles as a Director of Data Science, Senior Consultant, and senior-level manager and chair across diverse organizations.
Dr. Thapaliya is an experienced academic leader, educator, and researcher with expertise in artificial intelligence, data science, cybersecurity, and emerging technologies. In addition to his academic leadership, Dr. Thapaliya brings valuable industry experience in information technology and applied computing, bridging real-world practice with innovative teaching and program development. He has taught and led programs across multiple higher education institutions and is committed to advancing career-focused learning that prepares students for success in today’s digital economy. His research interests include AI-driven decision-making, machine learning applications, and technology leadership in higher education.
Dr. Rajan Thapaliya’s blend of executive leadership, teaching excellence, and educational innovation is expected to contribute significantly to the University of Fairfax’s mission and long-term success. Dr. Thapaliya defines leadership as serving others through vision, integrity, and continuous improvement, while empowering students and faculty to achieve excellence through collaboration, innovation, and lifelong learning. He is committed to advancing career-focused education that prepares learners for success in today’s rapidly evolving digital economy.
Ultimately, Dr. Thapaliya strives to cultivate lifelong learners who carry forward the knowledge, skills, and values gained in their academic journey. He firmly believes that education extends beyond the classroom and serves as a powerful tool for personal growth, professional success, and societal impact. Through his teaching, leadership, and humanitarian initiatives, Dr. Rajan Thapaliya continues to influence the future of technology and inspire the next generation of innovators and thought leaders.
Expertise and Areas of Interest:
Generative AI, Software Design & Architecture, DevOps & Deployment, Data engineering and architect, Blockchain and Cryptography, Deep Learning and Natural Language Processing, Machine learning, Artificial intelligence (AI), Web Automation/Web3, Text mining and Data mining, Big data, Predictive models, Data Science Strategies, Cloud computing, Internet of Things (IoT), Risk Management, Business intelligence (BI), Computer forensics, Neural network, Database Management Systems, Networking and Internet Architecture, Web scraping and Robotics AI.