## Publications

**Refereed Journal Articles**

- A. Veremyev, A. Sorokin, V. Boginski, and E.L. Pasiliao. Minimum vertex cover problem for coupled interdependent networks with cascading failures. European Journal of Operational Research, 232: 499–511, 2014.
- G. Pastukhov, A. Veremyev, V. Boginski, and E.L. Pasiliao. Optimal design and augmentation of strongly attack-tolerant two-hop clusters in directed networks. Journal of Combinatorial Optimization, 27: 462–486, 2014.
- A. Kammerdiner, A. Sprintson, E.L. Pasiliao, and V. Boginski. Optimization of discrete broadcast under uncertainty using conditional value-at-risk. Optimization Letters, 8: 45–59, 2014.
- A. Buchanan, J.S. Sung, V. Boginski, and S. Butenko. On connected dominating sets of restricted diameter. European Journal of Operational Research, 236:410–418, 2014.
- A. Veremyev, V. Boginski, and E.L. Pasiliao. Analytical characterizations of some classes of optimal strongly attack-tolerant networks and their Laplacian spectra. Journal of Global Optimization, 2013 (accepted).
- V. Boginski, S. Butenko, O. Shirokikh, S. Trukhanov, and J. Gil-Lafuente. A network-based data mining approach to portfolio selection via weighted clique relaxations. Annals of Operations Research, 2013 (accepted).
- O. Shirokikh, A. Sorokin, and V. Boginski. A note on transmission switching in electric grids with uncertain line failures. Energy Systems, 4: 419–430, 2013.
- A. Veremyev, V. Boginski, and E.L. Pasiliao. Exact identification of critical nodes in sparse networks via new compact formulations. Optimization Letters, 2013 (accepted).
- J. Pattillo, A. Veremyev, S. Butenko, and V. Boginski. On the maximum quasi-clique problem. Discrete Applied Mathematics, 161: 244–257, 2013.
- O. Shirokikh, G. Pastukhov, V. Boginski, and S. Butenko. Computational study of the U.S. stock market evolution: A rank correlation-based network model. Computational Management Science, 10: 81–103, 2013.
- M. Carvalho, A. Sorokin, V. Boginski, and B. Balasundaram. Topology design for on-demand dual-path routing in wireless networks. Optimization Letters, 7: 695–707, 2013.
- A. Sorokin, V. Boginski, A. Nahapetyan, and P.M. Pardalos. Computational risk management techniques for fixed charge network flow problems with uncertain arc failures. Journal of Combinatorial Optimization, 25: 99–122, 2013.
- A. Veremyev, V. Boginski, P.A. Krokhmal, and D.E. Jeffcoat. Dense percolation in large-scale mean-field random networks is provably “explosive”. PLOS ONE 7(12): e51883, 2012
- A. Veremyev and V. Boginski. Identifying large robust network clusters via new compact formulations of maximum k-club problems. European Journal of Operational Research, 218: 316–326, 2012.
- S. Stefan, M. Ehsan, W. Pearson, A. Aksenov, V. Boginski, B. Bendiak, and J. Eyler. Differentiation of closely related isomers: Application of data mining techniques in conjunction with variable wavelength infrared multiple photon dissociation mass spectrometry for identification of glucose-containing disaccharide ions. Analytical Chemistry, 83(22): 8468–8476, 2011.
- K. Kalinchenko, A. Veremyev, V. Boginski, D.E. Jeffcoat, and S. Uryasev. Robust connectivity issues in dynamic sensor networks for area surveillance under uncertainty. Pacific Journal of Optimization, 7(2): 235–248, 2011.
- N. Boyko, T. Turko, V. Boginski, D.E. Jeffcoat, S. Uryasev, G. Zrazhevsky, and P.M. Pardalos. Robust multi-sensor scheduling for multi-site surveillance. Journal of Combinatorial Optimization, 22(1): 35–51, 2011.
- V. Boginski, C.W. Commander, and T. Turko. Polynomial-time identification of robust network flows under uncertain arc failures. Optimization Letters, 3(3):461–473, 2009.
- A. Sorokin, N. Boyko, V. Boginski, S. Uryasev, and P.M. Pardalos. Mathematical programming techniques for sensor networks, Algorithms, 2: 565–581, 2009.
- A. Arulselvan, G. Baourakis, V. Boginski, E. Korchina, and P.M. Pardalos. Analysis of food industry market using network approaches. British Food Journal, 110(9): 916–928, 2008.
- V. Boginski, S. Butenko, and P.M. Pardalos. Mining market data: A network approach. Computers and Operations Research, 33: 3171–3184, 2006 (Ranked in Top 25 hottest articles in Computers and Operations Research by ScienceDirect during 01-09/06).
- A. Arulselvan, V. Boginski, A. Kammerdiner, and P.M. Pardalos. Analysis of stock market structure by identifying connected components in the market graph. Journal of Financial Decision Making, 1(1): 27–37, 2005.
- V. Boginski, S. Butenko, and P.M. Pardalos. Statistical analysis of financial networks. Computational Statistics and Data Analysis, 48(2): 431–443, 2005 (Ranked in Top 25 hottest articles in Computational Statistics and Data Analysis by ScienceDirect during 10/04-03/05).
- V. Boginski, S. Butenko, and P.M. Pardalos. Network models of massive datasets. Computer Science and Information Systems, 1: 75–89, 2004.

**Refereed Book Chapters**

- O. Shirokikh, V. Stozhkov, and V. Boginski. Combinatorial optimization techniques for network-based data mining. In Handbook of Combinatorial Optimization, 2nd edition, P.M. Pardalos et al. (eds.), pp 631–672, Springer, 2013.
- D. Jallo, D. Budai, V. Boginski, B. Goldengorin, and P.M. Pardalos. Network-based representation of stock market dynamics: An application to American and Swedish stock markets. In Models, Algorithms, and Technologies for Network Analysis, B. Goldengorin et al. (eds.), pp. 93–106, Springer, 2013.
- A. Veremyev and V. Boginski. Robustness and strong attack tolerance of low-diameter networks. In Dynamics of Information Systems: Mathematical Foundations, A. Sorokin et al. (eds.), pp. 137–156, Springer, 2012.
- V. Boginski. Network-based data mining: operations research techniques and applications. In Wiley Encyclopedia of Operations Research and Management Science, J. Cochran et al. (eds.), pp. 3498–3508, John Wiley and Sons, 2011.
- V. Boginski and C.W. Commander. Identifying critical nodes in protein-protein interaction networks. In Clustering Challenges in Biological Networks, S. Butenko et al. (eds.), pp. 153–167, World Scientific, 2009.
- O. A. Prokopyev, V. Boginski, W. Chaovalitwongse, P.M. Pardalos, J.C. Sackellares, and P.R. Carney. Network-based techniques in EEG data analysis and epileptic brain modeling, In Data Mining in Biomedicine, P.M. Pardalos et al. (eds.), pp. 559–573, Springer, 2007.
- W. Chaovalitwongse, L.D. Iasemidis, P.R. Carney, J.C. Sackellares, D.-S. Shiau, L.K. Dance, O. A. Prokopyev, V. Boginski, and P.M. Pardalos. Data mining in EEG: Application to epileptic brain disorders. In Data Mining in Biomedicine, P.M. Pardalos, et al. (eds.), pp. 459–481, Springer, 2007.
- V. Boginski, P.M. Pardalos, and A. Vazacopoulos. Network-based models and algorithms in data mining and knowledge discovery, In Handbook of Combinatorial Optimization, D.-Z. Du and P.M. Pardalos (eds.), Supplementary Volume B, pp. 217–258, 2005.
- P.M. Pardalos, V. Boginski, O. Prokopyev, W. Suharitdamrong, P.R. Carney, W. Chaowalitwongse, and A. Vazacopoulos. Optimization in medicine. In Essays and Surveys on Global Optimization, C. Audet and P. Hansen (eds.), pp. 211–232, 2005.
- V. Boginski, S. Butenko, and P.M. Pardalos. Network-based techniques in the analysis of the stock market. In Supply Chain and Finance, P. M. Pardalos, et al. (eds.), World Scientific, pp. 1–14, 2004.
- V. Boginski, S. Butenko, and P. M. Pardalos. Matrix-based methods for college football rankings. In Economics, Management and Optimization in Sports, S. Butenko et al. (eds.), Springer, pp. 1-14, 2004.
- V. Boginski, S. Butenko, P. M. Pardalos, and O. Prokopyev. Collaboration networks in sports. In Economics, Management and Optimization in Sports, S. Butenko et al. (eds.), Springer, pp. 265-277, 2004.
- V. Boginski, S. Butenko, and P. M. Pardalos. On structural properties of the market graph. In Innovations in Financial and Economic Networks, A. Nagurney (ed.), Edward Elgar Publishers, pp. 28-45, 2003.
- V. Boginski, S. Butenko, and P. M. Pardalos. Modeling and optimization in massive graphs. In Novel Approaches to Hard Discrete Optimization, P.M. Pardalos and H. Wolkowitz (eds.), AMS, pp. 17-39, 2003.

**Refereed Conference Proceedings**

- L.V. Kulemina, G. Pastukhov, A. Veremyev, and V. Boginski. Using clique relaxations to identify highly connected clusters in molecular networks in cancer. Proceedings of the 2013 AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics, 2013 Nov 12-16; Boston AACR; Molecular Cancer Therapeutics, 10(13 Suppl), 2013.
- A. Arulselvan, P. Mendoza, V. Boginski, and P.M. Pardalos. Predicting the nexus between post-secondary education affordability and student success: An application of network-based approaches. Proceedings of International Conference on Advances in Social Network Analysis and Mining, IEEE Computer Society, pp. 149-154, July 2009.
- P. Xanthopoulos, A. Arulselvan, V. Boginski, and P.M. Pardalos. A retrospective review of social networks. Proceedings of International Conference on Advances in Social Network Analysis and Mining, IEEE Computer Society, pp. 300-305, July 2009.
- V. Boginski, I. Mun, Y. Wu, K. Mason, and C. Zhang. Simulation and analysis of hospital operations and resource utilization using RFID data. Proceedings of IEEE International Conference on RFID, pp. 199-204, Grapevine, TX, March 2007.
- S. Butenko, P. Pardalos, and V. Boginski. Analytic approaches to college football rankings. Research Quarterly for Exercise and Sport, Supplement: Suppl. S, Volume: 76, Issue: 1, pp. A13-A13, 2005.

**Edited Books**

- Sensors: Theory, Algorithms, and Applications, V. Boginski, C.W. Commander, P.M. Pardalos, and Y. Ye (eds.) Springer, ISBN: 0-387-88618-4 , November 2011.
- Data Mining in Biomedicine, P.M. Pardalos, V. Boginski and A. Vazacopoulos (eds.) Springer, ISBN-10: 0-387-69318-1, February 2007.

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