Vitaly A. Strusevich is affiliated with the University of Greenwich in the United Kingdom. Their research spans the intersecting fields of Engineering and Computer Science, with a particular focus on Industrial and Manufacturing Engineering and Computer Networks and Communications.
The scientist's main research topics include Scheduling and Optimization Algorithms, Optimization and Search Problems, Advanced Manufacturing and Logistics Optimization, Optimization and Packing Problems, Assembly Line Balancing Optimization, Distributed and Parallel Computing Systems, and Interconnection Networks and Systems.
Vitaly A. Strusevich has contributed to several publications in notable academic venues. Frequent publication venues include:
The scientist's recent papers encompass a variety of scheduling and optimization challenges. Key papers are:
Collaborations have been established with several researchers across these studies. Frequent co-authors include:
The scientist applies advanced methods in optimization and scheduling algorithms, engaging with both theoretical and applied aspects across manufacturing and computing systems. Their work addresses complex problems such as makespan minimization, resource-constrained scheduling, and parallel processing job management.
C. N. Potts;S. V. Sevast'janov;V. A. Strusevich;L. N. Van Wassenhove
Christopher N. Potts;Vitaly A. Strusevich
Mikhail A. Kubzin;Vitaly A. Strusevich
Unknown
V. S. Gordon;C. N. Potts;V. A. Strusevich;J. D. Whitehead
Hans Kellerer;Vitaly A. Strusevich
Valery S. Gordon;Vitaly A. Strusevich
Kabir Rustogi;Vitaly A. Strusevich
Celia A. Glass;Yakov M. Shafransky;Vitaly A. Strusevich
Bo Chen;Vitaly A. Strusevich
V. A. Strusevich
Vitaly A. Strusevich;Kabir Rustogi
Valery Gordon;Vitaly Strusevich;Alexandre Dolgui
H. Kellerer;V. A. Strusevich
Mikhail A. Kubzin;Vitaly A. Strusevich
C. N. Potts;V. A. Strusevich;T. Tautenhahn
C.A. Glass;C.N. Potts;V.A. Strusevich
Kabir Rustogi;Vitaly A. Strusevich
Chung Yee Lee;Vitaly A. Strusevich
Kabir Rustogi;Vitaly A. Strusevich
Bo Chen;Celia A. Glass;Chris N. Potts;Vitaly A. Strusevich
J. N. D. Gupta;V. A. Strusevich;C. M. Zwaneveld
If you think any of the details on this page are incorrect, let us know.
Pursuing a Mathematics degree in the USA opens doors to various advanced study options and career paths. For those interested in integrating analytical skills with business acumen, exploring a masters degree in marketing can be a strategic move. This degree often merges quantitative analysis with market research, ideal for math graduates.
Additionally, many students consider management roles post-graduation. A one year MBA offers an accelerated path to leadership and business strategy, perfectly complementing a math background.
If you have existing graduate credits, you might wonder about flexibility. Numerous programs accept credit transfers—learning more about can you transfer credits into an mba program can help you save time and resources.
For those looking to stay within data-focused roles, many find the data analytics masters programs a natural next step. These programs build directly on mathematical foundations and are highly valued in today’s data-driven industries.
Beijing Institute of Technology
University of Michigan–Ann Arbor
Lund University
Marin Software
University of Alberta
National Research Centre for the Working Environment
University of Glasgow
University of South Florida
University of Kansas
Hong Kong University of Science and Technology
Emory University
New York University
Dartmouth College
University of Chicago
Gulf University for Science & Technology
