0000-0002-8739-6516 About
Dr. Dinesh K. Sharma is a tenured Professor of Quantitative Methods and Computer Applications in the Department of Business, Management and Accounting at the University of Maryland Eastern Shore, USA. His extensive qualifications include an MS in Mathematics, MS in Computer Science, Ph.D. in Operations Research, and a second Ph.D. in Management. With over thirty years of teaching and research experience, he has not only served on numerous committees to supervise Ph.D. students, but also acts as an external Ph.D. thesis examiner, and has reviewed Promotion and Tenure Dossiers for several universities in the USA and abroad.
Dr. Sharma’s research interests span a wide range of topics, including mathematical programming, artificial intelligence, machine learning, evolutionary computing techniques, inventory and supply chain management, healthcare and portfolio management, and applied statistical techniques. His academic productivity is truly impressive, with over 300 refereed journal articles, book chapters, and conference proceedings, four edited books, and two more on the way. His contributions have been recognized with twenty best paper awards.
Professor Sharma has collaborated on many funded research grants. He is the Editor of the Journal of Global Information Technology and the Review of Business and Technology Research, on the editorial board of several journals, and a paper reviewer for numerous journals and conferences. Additionally, he is a Decision Sciences, USA member and a life member of the Operational Research Society of India. He has been a program, conference chair, and coordinator of several international conferences in many countries.
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Publications (59)
- Optimizing Mean Estimation in Stratified Sampling: Addressing Budget Constraints Save
- Generalized Family of Estimators for Population Mean Using Information on Two Auxiliary Variables: A Real and Simulation Data Applications Save
- Forecasting US stock price using hybrid of wavelet transforms and adaptive neuro fuzzy inference system Save
- Routing decisions for Buddhist pilgrimage: an elitist genetic algorithm approach Save
- Machine Learning Algorithmic Model for Pairs Trading Save
- Identifying the Antecedents and Outcomes of Happiness at Work Save
- Generalized knowledge measure based on hesitant fuzzy sets with application to MCDM Save
- Retrial queueing system subject to differentiated vacations with impatient customers Save
- An Integrated Approach of Proposed Pruning Based Feature Selection Technique (PBFST) for Phishing E-mail Detection Save
- Integration of genetic algorithm with artificial neural network for stock market forecasting Save