The American Academy of Tirana and Technology continues to expand its world-class faculty with the appointment of Dr. Steftcho Dokov. A specialist in the highly technical fields of Operations Research and Stochastic Programming, Dr. Dokov brings a rare blend of deep academic theory and high-level industrial application to the AATT classroom.
A Foundation in Quantitative Excellence
Dr. Dokov earned his PhD in Operations Research and Industrial Engineering from the University of Texas at Austin, a top-tier institution in the United States. His area of expertise, Operations Research, is a scientific discipline that uses advanced quantitative methods to improve management and decision-making. Specifically, Dr. Dokov focuses on Stochastic Programming—a framework used to make critical decisions under conditions of uncertainty and limited information.
This specialized knowledge is vital for modern industries where variables are constantly changing, and Dr. Dokov has spent his career mastering how to model these uncertainties to find optimal solutions.
Decades of Global Industrial and Academic Experience
Dr. Dokov’s career is defined by its international reach and practical impact. His professional journey includes over ten years of industrial experience within the financial services sector, working for a firm in Dallas, Texas, as well as American and British companies with research and development offices in Sofia, Bulgaria. This hands-on experience in financial modeling and R&D ensures that the concepts he teaches are grounded in the realities of the global market.
In addition to his corporate background, Dr. Dokov brings ten years of academic experience from the South Korean campus of INHA University in Tashkent. This extensive teaching history makes him uniquely qualified to mentor students in the rigorous disciplines of Discrete Mathematics and Applied Calculus, the courses he will be leading at AATT.
A Respected Voice in Scientific Research
A prolific scholar, Dr. Dokov has published research in renowned international journals and conferences, including IEEE, Springer, and Elsevier. His work focuses on developing bounds and approximations within Stochastic Programming, with significant applications in finance. His research has led to advancements in efficient portfolio allocations, moving beyond classical models to include complex mean-variance-skewness-kurtosis analysis.
His contributions to the field are further recognized by his role as a referee for prestigious journals such as Omega (the International Journal of Management Science) and Finance Research Letters. By peer-reviewing the work of other scientists, Dr. Dokov remains at the very forefront of mathematical and financial innovation.
Empowering Students with Advanced Analytics
At AATT, Dr. Dokov’s presence ensures that students are not just learning math, but are understanding how to use it as a powerful tool for global problem-solving. His background perfectly aligns with RIT’s mission to provide an education that is as practical as it is prestigious.