Alexander L. Stolyar is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans across multiple disciplines, primarily focusing on Business, Management and Accounting, and Computer Science. Within these broader fields, their work concentrates on Management Information Systems and Computer Networks and Communications, with significant contributions also in Mathematical Physics, Industrial and Manufacturing Engineering, and Condensed Matter Physics.
Their scholarly output reflects a strong emphasis on several complex and technical topics. These include Advanced Queuing Theory Analysis, Supply Chain and Inventory Management, Stochastic Processes and Statistical Mechanics, Theoretical and Computational Physics, Random Matrices and Applications, Optimization and Search Problems, as well as Distributed Systems and Fault Tolerance.
Alexander L. Stolyar has published in a variety of academic venues, often contributing to specialized journals and preprint repositories. Frequent publication venues include arXiv (Cornell University), Operations Research, SSRN Electronic Journal, Queueing Systems, and Stochastic Systems.
Notable recent papers by Stolyar or closely associated with their research include:
Throughout their career, Stolyar has collaborated regularly with several researchers, including Xin Chen, Xingyu Bai, Seva Shneer, Menglong Li, and Aditi Taneja. These collaborations have contributed to the diversity and depth of their research topics across inventory management and queuing theory.
M. Andrews;K. Kumaran;K. Ramanan;A. Stolyar
Sanjay Shakkottai;Sanjay Shakkottai;Alexander L. Stolyar
Alexander L. Stolyar
Alexander L. Stolyar
Avishai Mandelbaum;Alexander L. Stolyar
Unknown
Matthew Andrews;Krishnan Kumaran;Kavita Ramanan;Alexander Stolyar
Alexander L. Stolyar
M. Andrews;L. Qian;A. Stolyar
Alexander L. Stolyar;Kavita Ramanan
A.L. Stolyar;H. Viswanathan
A. L. Stolyar;H. Viswanathan
Alexander L. Stolyar
L. Bui;R. Srikant;A. Stolyar
U. Akyol;M. Andrews;P. Gupta;J. Hobby
Sanjay Shakkottai;R. Srikant;Alexander L. Stolyar
Alexander L. Stolyar
Avi Mandelbaum;William A. Massey;Martin I. Reiman;Alexander Stolyar
Yang Guo;Alexander L. Stolyar;Anwar Walid
Loc X. Bui;R. Srikant;Alexander Stolyar
Eleftheria Athanasopoulou;Loc X. Bui;Tianxiong Ji;R. Srikant
If you think any of the details on this page are incorrect, let us know.
Exploring online degree options is a smart way to launch or advance your tech career. Many students begin their journey with an associates degree online, which offers a flexible and affordable introduction to the field. These programs are ideal for students seeking foundational skills and a quick entry into the job market.
For those wanting to move up faster, consider enrolling in one of the quickest masters degree online programs. These can fast-track your credentials and boost your career potential in as little as one year.
When choosing a graduate program, focus on graduate degrees that are worth it—such as computer science, data analytics, or cybersecurity—which are consistently in high demand and deliver strong returns on investment.
Finally, cost is always a concern. Researching the cheapest online college options can help you minimize debt while still receiving a high-quality education. Combining affordability with in-demand credentials will set you firmly on the path to online learning success.
Zhengzhou University of Light Industry
King's College London
Central South University
University of California, San Francisco
Newcastle University
University of Milan
École Polytechnique Fédérale de Lausanne
Chuo University
University of Tennessee Health Science Center
University of Lille
Sun Yat-sen University
National Institute of Advanced Industrial Science and Technology
Purdue University West Lafayette
Southern Illinois University Carbondale
James Hutton Institute
University of Porto