School of Business

Interests

Teaching

• Dr. Christopher S. Kwaramba is deeply committed to delivering engaging, high-impact learning experiences that prepare students for success in dynamic, data-driven industries. His teaching portfolio reflects a broad range of interests, including quantitative methods, supply chain management, process control, and business statistics.
  At Virginia Commonwealth University, Dr. Kwaramba teaches Process Control, emphasizing the application of analytical tools and methodologies to monitor and improve operational efficiency. He also recently taught Business Statistics, where he guided students through the practical application of statistical techniques in business decision-making, fostering critical thinking and data literacy.
  Dr. Kwaramba’s instructional approach integrates real-world cases, cutting-edge technologies like R, Python, and SPSS, and collaborative problem-solving to create an engaging and relevant learning environment. With prior teaching experience at Virginia Tech and East Carolina University, he has developed and taught courses ranging from Engineering Economy and Project Management to Strategic Supply Chain Management and Business Decision Modeling, catering to diverse student cohorts at undergraduate and graduate levels.
  Passionate about mentorship and experiential learning, Dr. Kwaramba inspires students to apply theoretical concepts to solve real-world challenges, equipping them with practical skills and a strategic mindset for their professional journeys.

Research

• Dr. Christopher S. Kwaramba's research is driven by a passion for addressing critical challenges in supply chain management, operations, and decision sciences. His primary focus is on supply chain resilience, where he explores strategies to mitigate risks and enhance robustness in global supply networks. By leveraging behavioral insights, institutional theory, and advanced analytics, Dr. Kwaramba seeks to bridge the gap between theory and practice, delivering actionable solutions for real-world supply chain challenges.
  Expanding his scholarly contributions, Dr. Kwaramba has recently embarked on cutting-edge research in healthcare operations, specifically optimizing hospital resource utilization. This work aims to enhance efficiency and patient outcomes by applying data-driven methods to resource allocation, scheduling, and capacity planning.
  Dr. Kwaramba is also exploring humanitarian operations through the innovative use of artificial intelligence, including reinforcement learning. His research in this area seeks to revolutionize disaster response and resource distribution by developing AI-driven frameworks that can adapt to dynamic and uncertain environments.
  In addition to these areas, Dr. Kwaramba’s work spans operations management, data analytics, and technology adoption in supply chains, such as the implementation of blockchain and distributed ledger technologies. His interdisciplinary approach integrates methodologies from computational modeling, optimization, and statistical analysis to solve complex operational problems.
  Dr. Kwaramba’s research has been recognized through publications in high-impact journals such as Production and Operations Management Journal and Information Processing & Management. He actively presents his work at premier academic conferences, demonstrating a commitment to advancing knowledge and contributing to the academic community at Virginia Commonwealth University and beyond.
  By addressing the pressing challenges of resilience, efficiency, and sustainability, Dr. Kwaramba’s research continues to influence both academia and industry, advancing the understanding and application of innovative solutions in diverse operational contexts