Amit Verma

Amit Verma is an Associate Professor of Management and Supply Chain Management at Missouri Western State University, United States. He has over nine years of academic experience at Missouri Western, where he currently teaches and conducts research in supply chain management, logistics, business analytics, and optimisation methods. His teaching specialty focuses on supply chain systems, logistics optimisation, and analytical decision-making.

Dr. Verma holds a Doctor of Philosophy (Ph.D.) in Management Science from the University of Iowa, completed between 2009 and 2014. His doctoral research involved the optimisation of supply chain processes using advanced mathematical modelling tools such as AMPL, MATLAB, and CPLEX. He also holds a Bachelor of Technology (B.Tech.) in Mechanical Engineering from the National Institute of Technology Calicut (NIT Calicut), India, earned between 2002 and 2006.

Before joining Missouri Western State University, he served as an Assistant Professor of Logistics at Delta State University from 2014 to 2016. Earlier in his career, he worked as a Graduate Assistant at the University of Iowa, supporting research and teaching activities related to optimisation and management science. He also brings industry experience from his role as a Staff Consultant at Oracle, where he worked for around three years in the CRM and Order Management domains, providing design and implementation support for global clients.

Dr. Verma’s research interests span supply chain optimisation, logistics optimisation, heuristic design, combinatorial optimisation, quadratic programming, and quantum optimisation. His work includes practical applications of Quantum Unconstrained Binary Optimisation (QUBO) for solving complex real-world problems. He has authored and co-authored several research publications in supply chain management, logistics, and optimisation, contributing to both academic theory and applied decision-making.

In addition to his academic research, he has experience in consulting, ERP systems, CRM, and SCM implementations, covering design, implementation, upgrades, and support. His professional certifications include Siebel CCC Certified Professional and SAP R/3 TERP 10.

Amit Verma is known for integrating management science, optimisation techniques, and emerging computing methods into supply chain and logistics research, with a strong focus on practical and analytical solutions grounded in real-world applications.

Amit Verma is an academic and researcher specialising in supply chain management, logistics, optimisation, and management science. His academic journey began in India, where he completed his Bachelor of Technology in Mechanical Engineering at the National Institute of Technology Calicut between 2002 and 2006. This early training provided him with a strong foundation in engineering principles, analytical thinking, and problem-solving, which later shaped his work in optimisation and supply chain systems.

After completing his undergraduate studies, he moved into industry and worked as a Staff Consultant at Oracle from 2006 to 2009. During this period, he gained hands-on experience in enterprise systems, particularly in the CRM and Order Management domains. His work involved providing design and implementation support for clients across different regions, including organisations such as SHIRE, EHRC, PPC Taiwan, and ANB. 

He was involved in end-to-end project activities, covering system design, implementation, upgrades, and ongoing support. This industry experience gave him a practical understanding of large-scale business systems and real-world supply chain operations. Alongside his professional work, he earned certifications including Siebel CCC Certified Professional and SAP R/3 TERP 10.

In 2009, Amit Verma began his doctoral studies at the University of Iowa, where he pursued a Doctor of Philosophy in Management Science, completed in 2014. During this time, he also worked as a Graduate Assistant, contributing to teaching and research activities. His doctoral research focused on the optimisation of supply chain processes using mathematical and computational tools such as AMPL, MATLAB, and CPLEX. His work addressed complex decision-making problems in logistics and supply chains through rigorous modelling and optimisation techniques. This period marked the start of his long-term research interest in combinatorial optimisation, heuristic design, and analytical methods for solving real-world problems.

After completing his Ph.D., he joined Delta State University in 2014 as an Assistant Professor of Logistics, where he taught and conducted research until 2016. His academic work during this period continued to focus on supply chain systems, logistics management, and optimisation-based decision models. In 2016, he moved to Missouri Western State University, initially serving as an Assistant Professor of Management and Logistics. In August 2021, he was appointed Associate Professor of Management and Supply Chain Management, a role he continues to hold.

At Missouri Western State University, Amit Verma teaches courses related to supply chain management, logistics, and business analytics. His research spans supply chain optimisation, logistics optimisation, quadratic programming, and combinatorial optimisation. In more recent years, his work has expanded into quantum optimisation, with a particular focus on Quantum Unconstrained Binary Optimisation and its practical use in solving complex optimisation problems. His research also connects with areas such as machine learning and applied optimisation, always with an emphasis on real-world relevance rather than theoretical abstraction.

He has authored and co-authored numerous academic publications in supply chain management, logistics, and optimisation, contributing to both management science literature and applied research. His work reflects a consistent effort to bridge academic research with practical business and operational challenges. Alongside his academic career, he brings consulting experience, ERP system knowledge, and industry insight into his teaching and research. Through his combined background in engineering, industry consulting, management science, and emerging optimisation methods, Amit Verma continues to contribute to the development of practical and analytical approaches to supply chain and logistics decision-making.

Amit Verma’s vision is to advance supply chain management and logistics through the practical use of analytical and optimisation-based methods that address real operational problems. He aims to bridge academic research and industry practice by applying management science, data analytics, and emerging computing approaches, including quantum optimisation, to improve decision-making in complex systems. His focus is on developing models and tools that are reliable, scalable, and relevant to real-world constraints. Through teaching and research, he seeks to equip students and practitioners with strong analytical skills, ethical judgement, and the ability to design efficient, data-driven supply chain solutions across industries.

Amit Verma has received academic recognition through his sustained research output and contributions to supply chain management, logistics, and optimisation. His work has been published in peer-reviewed journals and academic outlets covering combinatorial optimisation, heuristic design, and analytical modelling. He has been recognised within academic institutions for his research activity and teaching contributions in management and logistics disciplines. His doctoral research at the University of Iowa was supported through graduate assistantships, reflecting academic merit and research capability. In addition, his professional certifications, including Siebel CCC Certified Professional and SAP R/3 TERP 10, reflect recognised expertise in enterprise systems and applied business technologies.