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Hanif D. Sherali

Professor Emeritus at Computer Engineering, Virginia Tech 8 Followers

Dr. Hanif D. Sherali is well-known for his work in the field of Industrial and Systems Engineering, where he has made significant contributions to economic modeling, global optimization, and location theory. As a University Distinguished Professor Emeritus at Virginia Tech, Dr. Sherali has dedicated his career to advancing the understanding and application of complex mathematical models in various domains, including transportation theory and energy modeling. Throughout his illustrious career, Dr. Sherali has specialized in analyzing and solving structured linear, nonlinear, and integer programming problems. His expertise extends to developing innovative algorithms for global optimization methods, particularly for nonconvex programming challenges. His work in location and transportation theory has been instrumental in addressing real-world applications, providing valuable insights and solutions to complex logistical problems. Dr. Sherali's research interests also encompass economic and energy mathematical modeling and analysis, where he has contributed to the development of models that aid in understanding and optimizing economic systems and energy resources. His scholarly output includes numerous research papers and projects that have been widely recognized and cited in the academic community. In addition to his research endeavors, Dr. Sherali has been an influential educator, teaching a variety of courses that have inspired and shaped the next generation of engineers and researchers. His commitment to education is matched by his active involvement in professional service activities, where he has served in various capacities to advance the field of industrial and systems engineering. Dr. Sherali's distinguished career is marked by his dedication to both theoretical advancements and practical applications, making him a respected figure in his field. His contributions continue to influence and guide research and practice in economic modeling, optimization, and systems engineering.

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