The CSX Leadership Award in Business
Professor Hossein Arsham joined University of Baltimore in 1983 and has demonstrated his major contribution through his research and effective teaching abilities both in the classroom and online. His teaching, research, and professional services activities are multidisciplinary, interdisciplinary, and trans-disciplinary and include: general optimization, systems simulation, and statistical data analysis. His principal professional activities are in constructing model-based decision support systems that are understandable, easy to use, and provide useful managerial information. His work has been acknowledged for its contributions to his areas of decision making processes through numerous awards including: The Harry Y. Wright Chair for Distinguished Research, Regents' Faculty award for Excellence in Research and The CSX Chair. Dr. Arsham’s perspectives and experiences have led him to combine the decision-making framework and tools to better understand and connect the gaps between optimization theory, discrete event simulation, and probability and statistics. He is also consistently up-to-date on the growing trends in interventional managerial decision-making; and its increasing utilization in applications. Dr. Arsham is also well-known for his teaching ability and students appreciate his insight of making difficult concepts understandable. Teaching has been an intricate part of Dr. Arsham’s life at the University of Baltimore. He is considered a pioneer in online teaching.
Arsham, H. (2009). Business Statistics Review. Pearson Publisher.
Arsham, H., & Sheikh, S. (2015). Organizational Performance-Design Process: A Discrete-Events Simulation Approach.
Arsham, H., & Adlakha, V. G. (2014). DECISIONS FOR THE PERFORMANCE-DESIGN PROCESS: A SINGLE-RUN DISCRETE-EVENTS SIMULATION APPROACH. Cambridge Scholars Publishing.
Arsham, H., Bardossy, G., & Sharma, D. K. (2014). Essentials of Linear Programming for Managers: From System of Inequalities to Software Implementation. IGI Global publisher. Chapter 7( First Edition), 96-127.
Arsham, H., & Adlakha, V. G. (2014). Critical Path Stability Region: A Single-Time Estimate. IGI Global publisher. 35-60.
Arsham, H. (2011). Bartlett's Test. Springer. Part II. 87-88.
Arsham, H. (2010). Gradient-based optimization techniques for discrete event systems simulation. John Wiley & Sons. 3. 1429-1446.
Refereed Journal Articles
Arsham, H. (2013). An Interior Boundary Pivotal Solution Algorithm for Linear Programs with the Optimal Solution-based Sensitivity Region. International Journal of Mathematics in Operational Research. 5(6), 663–692.
Arsham, H. (2013). Modeling Tariff to Analyze Protectionism. International Journal of Pure and Applied Mathematics. 84(4), 389-396.
Arsham, H. (2013). Monte Carlo Solution to Find Input Parameters in Systems Design Problems. International Journal for Computational Methods in Engineering Science and Mechanics. 14(4), 343-353.
Arsham, H. (2013). Adaptive K-S Tests For White Noise in the Frequency Domain. International Journal of Pure and Applied Mathematics. 82(2), 521-529.
Arsham, H. (2013). Modeling and Simulation for Product Design Process. Simulation: Transactions of the Society for Modeling and Simulation International. 89(2), 178-191.
Arsham, H. (2012). Data Perturbation Analysis for IS Project Management Based on a Single Time Estimate. International Journal of Enterprise Information Systems. 8(4), 77-98.
Arsham, H. (2012). Injectivity and Surjectivity Equivalency of Linear Mapping: A Reversal of the Traditional Approach. International Journal of Pure and Applied Mathematics. 79(4), 595-603.
Arsham, H. (2012). Foundation of Linear Programming: A Managerial Perspective From Solving System of Inequalities to Software Implementation. International Journal of Strategic Decision Sciences. 3(3), 40-60.
Arsham, H., Adlakha, V. G., & Lev, B. (2009). A Simplified Algebraic Method for System of Linear Inequalities with LP Applications. OMEGA. 37(4), 876-882.
Arsham, H. (2012). BBC Interview: Even Numbers and Zero. BBC Current Affairs on World Service and Radio 4.