Dinesh Sharma, Ph.D.

Dinesh Sharma, Ph.D.
Professor

Ph.D., Devi Ahilya University
Ph.D., Chaudhry Charan Singh University


Engineering Aviation Science Complex – Room 2097
Princess Anne, Maryland 21853
Tel: (410) 651-6528
Fax: (410) 651-6032 or (410) 651-6529
E-mail:   dksharma@umes.edu 
CV: Curriculum Vitae


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.

Publications

  • Sharma, N., Jain, M. and Sharma, Dinesh K. (2024), Collaboration Policy for Two-Echelon Green Industrial Supply Chain with Carbon Emissions Using Particle Swarm Optimization,”National Academy Science, Vol. 47, 691–695 (2024). https://doi.org/10.1007/s40009-023-01368-y
  • Yadav, S.K., Vishwakarma, G.K. & Sharma, D.K. (2024), “A computational strategy for estimation of mean using optimal imputation in presence of missing observation,” Scientific Reports, Vol. 14, 6433 (2024). https://doi.org/10.1038/s41598-024-57264-y
  • Ghosh, I, Jana, R., and Sharma, Dinesh K. (2024), “A novel granular decomposition based predictive modeling framework for cryptocurrencies’ prices forecasting,” China Finance Review International, Vol. x, No. x, pp. x–x. https://doi.org/10.1108/CFRI-03-2023-0072
  • Sharma, Dinesh K., Hota, H.S., and Rababaah, A. (2024), “Forecasting US stock price using hybrid of wavelet transforms and adaptive neuro fuzzy inference system,” International Journal of System Assurance Engineering and Management, Vol. 15, No. (2), pp. 591–608
  • Jana, R.K., Sharma, Dinesh K., Mitra, S.K., and Chakraborty, B. (2024), “Routing decisions for Buddhist pilgrimage: an elitist genetic algorithm approach,” International Journal of System Assurance Engineering and Management, Vol. 15, No. (2), pp. 609–620.
  • Sharma, Dinesh K., Singh, K., and Singh, S. (2023), “Picture Fuzzy Knowledge Measure with Application to MADM,” International Journal of Mathematical, Engineering and Management Sciences, Vol. 8, No. 4, pp. 650–671.
  • Sharma, D.K., Chaudhuri, B., Chattopadhyay, M., and Jana, R.K. (2023), “Distance function embedded genetic algorithm for maximizing the group efficacy measure of performance of machine-part cells,” Soft Computing (2023). https://doi.org/10.1007/s00500-023-08632-9
  • Yadav, S.K., Sharma, Dinesh K., and Sharma, H. (2023), “Use of Known Population Median of Study Variable for Elevated Estimation of Population Mean,” International Journal of Applied Management Science, Vol. 15, No. 1, pp. 28–41.
  • Hota, H.S., Sharma, Dinesh K., and Verma, N. (2023), “COVID-19: Machine Learning Methods Applied for Twitter Sentiment Analysis of Indians Before, During and After Lockdown,” International Journal of Computing Science and Mathematics, Vol. 17, No. 1, pp. 95–105.
  • Hota, H.S., Sharma, Dinesh K., and Verma, N. (2023), “Integration of Deep Learning Techniques for Sentiment and Emotion Analysis of Social Media Data,” International Journal of Intelligent Systems Technologies and Applications, Vol. 2, No. 1, pp. 1-10.
  • Sharma, Dinesh K., Singh, S., and Ganie, A. (2023), “Correlation coefficients in T-spherical fuzzy environment using statistical viewpoint and their applications,” International Journal of Operational Research, Vol. 47, No. 3, pp. 384–411.
  • Yadav, S.K., and Sharma, Dinesh K. (2023), “Introducing New Optimal Class of Searls Estimators of Population Mean Using Powered Auxiliary Parameters,” International Journal of Operational Research, forthcoming.
  • Yadav, S.K., Sharma, Dinesh K., Brown, K., and Baghel, S. (2023), “A Remedy for Enhanced Estimation of Population Mean using Exponential Ratio-cum-Product type estimator under Non-Response,” International Journal of Operational Research, Vol. 46, No. 4, pp. 550–570.
  • Sharma, N., Jain, M. and Sharma, Dinesh K. (2022), “An Overview of Artificial Intelligence and Nature Inspired Optimization in Combating Covid-19 Epidemic,” Global Review of Business and Technology, Vol. 2, No. 2, pp. 11–22.
  • Yadav, S.K., Sharma, Dinesh K., Yadav, A. and Kumar, S. (2022), “Optimal Searls estimation of population variance under a systematic sampling scheme: a simulation study,” International Journal of Computing Science and Mathematics, Vol. 16, No. 3, pp. 239–251.
  • Sharma, Dinesh K., Hota, H.S., and Awasthi, V. (2022), “An Integrated K-means-GP Approach for US Stock Fund Diversification and its Impact due to COVID-19,” International Journal of Computational Economics and Econometrics, Vol. 12, No. 4, pp. 381–404.
  • Yadav, S.K., Sharma, Dinesh K., and Dube, M. (2022), “Modified Exponential Family for Improved Searls Estimation of Finite Population Mean,” International Journal of Computing Science and Mathematics, Vol. 16, No. 2, pp. 149–158.
  • Jana, R., Sharma, Dinesh K., and Mehta, P. (2022), “A probabilistic fuzzy goal programming model for managing the supply of emergency relief materials,” Annals of Operations Research, Vol. 319, No. 1, pp. 149–172.
  • Sharma, Dinesh K., Hota, H.S., Brown, K., and Handa, R. (2022), “Integration of Genetic Algorithm with Artificial Neural Network for Stock Market Forecasting,” International Journal of System Assurance Engineering and Management, Vol. 13, No. S2, pp. S828–S841.
  • Sharma, Dinesh K. and Yadav, S.K. (2022), “Optimal Generalized Searls Estimation Procedure of Population Mean under Ranked Set Sampling Scheme,” International Journal of Mathematics in Operational Research, Vol. 21, No. 3, pp. 305–320.
  • Yadav, S.K., Sharma, Dinesh K., and Brown, K. (2022), “Estimating Peppermint Oil Yields with Auxiliary Variable Information,” International Journal of Operational Research, Vol. 44, No. 1, pp. 122–139.
  • Yadav, D.K., Sharma, Dinesh K., and Yadav, S.K. (2022), “A new generalized median based estimator of the finite population mean,” International Journal of Operational Research, Vol. 43, No. 4, pp. 498–511.
  • Yadav, S.K., Sharma, Dinesh K., and Dube, M. (2022), “A Simulation Approach to Modified Searls Estimation of Population Mean Under Two-Phase Random Sampling,” International Journal of Mathematics in Operational Research, Vol. 22, No. 2, pp. 235–251.
  • Sharma, Dinesh K., Singh, S. and Ganie, A. (2022), “Distance-Based Knowledge Measure of Hesitant Fuzzy Linguistic Term Set With Its Application in MultiCriteria Decision Making,” International Journal of Fuzzy System Applications, Vol. 11, No. 1, pp. 1–20.
  • Yadav, S.K., Sharma, Dinesh K., and Alade, J. (2022), “Computation of Improved Searls Estimation of Population Variance Using Robust Auxiliary Parameters,” Recent Advances in Computer Science and Communications, Vol. 15, No. 5, pp. 700–713.
  • Hota, H.S., Sharma, Dinesh K., and Shrivas, A. (2022), “An Integrated Approach of Proposed Pruning Based Feature Selection Technique (PBFST) for Phishing E-mail Detection,” Recent Advances in Computer Science and Communications, Vol. 15, No. 5, pp. 683-692.
  • Jana, R., Sharma, Dinesh K., and Mitra, S.K. (2022), “Routing and collection load decisions in a green logistics system for delivering lunch boxes,” International Journal of Quality and Reliability Management, Vol. 39, No. 3, pp. 762–776.
  • Sharma, Dinesh K., Yadav, S.K., and Sharma, H. (2022), “Improvement in Estimation of Population Variance utilizing Known Auxiliary Parameters for Decision Making,” International Journal of Mathematical Modelling and Numerical Optimisation, Vol. 12, No. 1, pp. 15–28.
  • Yadav, S.K., Sharma, Dinesh K., and Baghel, S. (2021), “Upgraded Family of Estimators of Population Mean using Known Parameters of Auxiliary and Study Variables,” International Journal of Mathematical Modelling and Numerical Optimisation, Vol. 11, No. 3, pp. 252–274.
  • Sharma, Dinesh K., Yadav, S.K., and Sharma, H. (2021), “Advanced Class for Variance Estimation Utilizing Known Quartiles of the Auxiliary Variable,” International Journal of Applied Management Science, Vol. 13, No. 3, pp. 226–239.
  • Yadav, S.K., Sharma, Dinesh K., Alade, A. and Shukla, A. (2021), “Naive Regression Growth Models for Prediction of Peppermint Yield Production,” Journal of Reliability and Statistical Studies, Vol. 14, No. 2, pp. 451–470.
  • Peer, S.K, Sharma, Dinesh K., Chakraborty, B., and Jana, R.K. (2021), “A shortest path problem in a stochastic network with exponential travel time,” International Journal of Applied Management Science, Vol. 13, No. 3, pp. 179–199.
  • Yadav, S.K., Sharma, Dinesh K., and Brown, K. (2021), “New Class of Estimators for Enhanced Estimation of Average Production of Peppermint Yield Utilizing Known Auxiliary Variable,” International Journal of Mathematics in Operational Research, Vol. 20, No. 2, pp. 281–295.
  • Yadav, S.K., Sharma, Dinesh K., and Mishra, S.S. (2021), “New Modified Ratio Type Estimator of Population Mean Using Known Median of Study Variable,” International Journal of Operational Research, Vol. 41, No. 2, pp. 151–167.
  • Yadav, S.K., Kadilar, Cem, and Sharma, Dinesh K. (2021), “New Family of Estimators for Population Mean Using Regression-Cum-Ratio Exponential Estimators,” International Journal of Mathematics in Operational Research, Vol. 18, No. 1, pp. 85–114.
  • Chaudhuri, B., Jana, R.K., Sharma, Dinesh K., and Dan, P.K. (2020), “A Hybrid Genetic-Goal Programming Approach for Improving Group Performance in Cell Formation Problems,” International Journal of Advanced Operations Management, Vol. 12, No. 4, pp. 377-395.
  • Yadav, S.K., Sharma, Dinesh K., and Brown, K. (2020), “New Class of Estimators of the Population Mean Using the Known Population Median of the Study Variable,” International Journal of Mathematics in Operational Research, Vol. 16, No. 2, pp. 179–201.
  • Yadav, S.K., Sharma, Dinesh K., and Brown, K. (2019), “New Exponential Ratio type Estimators of Population Mean under Simple Random Sampling,” International Journal of Business and Data Analytics, Vol.1, No.2, pp.111 – 123.
  • Chaudhuri, B., Jana, R.K., Sharma, Dinesh K., and Dan, P.K. (2019), “A Goal Programming Embedded Genetic Algorithm for Multi-objective Manufacturing Cell Design,” International Journal of Applied Decision Sciences, Vol. 12, No. 1, pp. 98–114.