Amoah, N. A., G. Xu, Ashish R. Kumar, and Y. Wang, (2023). Calibration of low-cost particulate matter sensors for coal dust monitoring, Science of The Total Environment, v. 859, [160336].
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Amoah, N. A., Ashish R. Kumar, and G. Xu, (2022). Improved canopy air curtain dust protection using a novel design combining the impinging jet and a two-level manifold, 2022 Society for Mining, Metallurgy and Exploration Annual Conference and Expo, pp. 208-213.
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Kumar, Ashish R., N. Gupta, and S. Schafrik, (2022). CFD modeling and laboratory studies of dust cleaning efficacy of an efficient four stage non-clogging impingement filter for flooded-bed dust scrubbers, International Journal of Coal Science & Technology, v. 9 (1), pp. 1-9.
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Schafrik, S. J., Ashish R. Kumar, and A. Taylor, (2022). U.S. Patent No. 11,338,232. Washington, DC: U.S. Patent and Trademark Office.
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Hunter, G. W., S. Akbar, S. Bhansali, M. Daniele, P. D. Erb, K. Johnson, C.-C. Liu, D. Miller, O.r Oralkan, P. J. Hesketh, P. Manickam, and R. L. Vander Wal, (2020). Editors’ choice—critical review—a critical review of solid state gas sensors. Journal of The Electrochemical Society, 167(3), 037570.
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Liu, T., and Shimin Liu, (2020). The impacts of coal dust on miners' health: A review, Environmental Research, v. 190, paper 109849.
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Matthews, J., G. Skoptsov, and R. L. Vander Wal, (2020 April 29). Reducing greenhouse gas emissions using microwave plasma technology, Penn State News, online.
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Lo Prete, C., N. Guo, and U. V. Shanbhag, (2019). Virtual bidding and financial transmission rights: An equilibrium model for cross-product manipulation in electricity markets, IEEE Transactions on Power Systems, v. 34.(2), pp. 953–967.
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Bent, R., S. Blumsack, P. Van Hentenryck, C. Borraz-Sánchez, and M. Shahriari, (2018). Joint Electricity and Natural Gas Transmission Planning With Endogenous Market Feedbacks, IEEE Transactions on Power Systems, v. 33 (6), pp. 6397-6409.
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Blumsack, S., (2018). Impacts of the retirement of the Beaver Valley and Three Mile Island Nuclear Power Plants on Capacity and Energy Prices in Pennsylvania, Electricity Journal, v. 31 (6), pp. 57-64.
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Wang, Meng, R. Keeley, N. Zalivina, T. Halfhide, S. Scott, Q. Zhang, P. van der Steen, and S. Ergas, (2018). Advances in algal-prokaryotic wastewater treatment: a review of nitrogen transformations, reactor configurations, and molecular tools, Journal of Environmental Management, v. 217, pp. 845-857.
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Yoo, K., and S. Blumsack, (2018). Can Capacity Markets be Designed by Democracy? Journal of Regulatory Economics, v. 53 (2), pp. 127-151.
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Yoo, K., and S. Blumsack, (2018). The Political Complexity of Regional Electricity Policy Formation, Complexity, v. 2018, [3493492], 18 pp, https://doi.org/10.1155/2018/3493492.
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Lei, Zhen, and C.-H. Tsai, (2017). Market deregulation and nuclear safety, Energy Economics, v, 82, pp. 62-67, ISSN 0140-9883, https://doi.org/10.1016/j.eneco.2017.10.015.
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Arashiro, L., A. Rada-Ariza, Meng Wang, P. van der Steen, and S. Ergas, (2016). Modeling shortcut nitrogen removal from wastewater using an algal-bacterial consortium. Water Science and Technology. v. 75: wst2016561.
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Manafpour, A., T. Hopper, F. Rajabipour, A. Radlinska, G. P Warn, P. Shokouhi, D. Morian, and S. Jahangirnejad, (2016). "Field Investigation of In-Service Performance of Concrete Bridge Decks in Pennsylvania", Transportation Research Record: Journal of the Transportation Research Board, (2577), pp. 1–7.
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Manser, N., Meng Wang, S. Ergas, J. Mihelcic, A. Mulder, J. van de Vossenberg, J. van Lier, and P. van der Steen, (2016) Biological nitrogen removal in a photo-sequencing batch reactor with an algal-nitrifying bacterial consortium and anammox granules, Environmental Science & Technology Letters, v. 3, pp. 175-179.
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Bento, A. M., R. Klotz, and J. R. Landry, (2015). "Are there Carbon Savings from US Biofuel Policies? The Critical Importance of Accounting for Leakage in Land and Fuel Markets," The Energy Journal, v. 36 (3), pp. 75-109.
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Lo Prete, C., and B. F. Hobbs, (2015). “Market power in power markets: an analysis of residual demand curves in California’s day-ahead energy market in 1998-2000,” The Energy Journal, v. 36 (2), pp. 191-218.
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Wang, Meng, H. Yang, P. van der Steen, and S. Ergas, (2015). A novel shortcut nitrogen removal process using an algal-bacterial consortium in a photo-sequencing batch reactor (PSBR), Water Research, v. 87, pp. 38-48.
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Kannan, A., and U. V. Shanbhag, (2014). The pseudomonotone stochastic variational inequality problem: Analytical statements and stochastic extragradient schemes, Proceedings of the American Control Conference.
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Ravat, U., U. V. Shanbhag, and R. Sowers, (2014). On the inadequacy of VaR-based risk management: VaR, CVaR, and nonlinear interactions, Optimization Methods and Software, v. 29 (4), pp. 877-897.
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Robbins, M. J., S. H. Jacobson, U. V. Shanbhag, and B. Behzad, (2014). The Weighted Set Covering Game: A Vaccine Pricing Model for Pediatric Immunization, INFORMS Journal of Computing, v. 26 (1), pp. 1-198.
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Baek, K., Meng Wang, R. McKeever, K. Rieber, C. Park, and K. Nüsslein, (2013). Biodegradation of low concentrations of 1,2-dibromoethane in groundwater is enhanced by phenol. Applied Microbiology and Biotechnology, v. 98, pp. 1329-1338.
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Jiang, H., and U. V. Shanbhag, (2013). On the solution of stochastic optimization problems in imperfect information regimes, Proceedings of the Winter Simulation Conference.
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Koshal, J., A. Nedich, and U. V. Shanbhag, (2013 March). Regularized Iterative Stochastic Approximation Methods for Stochastic Variational Inequality Problems, To appear in IEEE Transactions on Automatic Control.
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Kulkarni, A. A., and U. V. Shanbhag, (2013). On the Consistency of Leaders’ Conjectures in Hierarchical Games, Proceedings of the IEEE Conference on Decision and Control (CDC).
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Lo Prete, C., and C. S. Norman, (2013). “Rockets and feathers in CO2-power markets? New evidence from the second phase of the EU ETS,” Energy Economics, v. 36, pp. 312-321.
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Urgaonkar, B., G. Kesidis, U. V. Shanbhag, and C. Wang, (2013). Pricing of Service in Clouds: Optimal Response and Strategic Interactions, ACM SIGMETRICS Performance Evaluation Review, v. 41 (3), pp 28–30, https://doi.org/10.1145/2567529.2567538.
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Wang, G., U. V. Shanbhag, T. Zheng, E. Litvinov, and S. P. Meyn, (2013). An extreme-point subgradient method for convex hull pricing in energy and reserves market: Part II – Convergence Analysis and Numerical Results, IEEE Transactions on Power Systems, v. 28 (3), pp. 2121-2127, doi: 10.1109/TPWRS.2012.2229303.
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Wang, G., U. V. Shanbhag, T. Zheng, E. Litvinov, and S. P. Meyn, (2013). An extreme-point subgradient method for convex hull pricing in energy and reserves market: Part I – Algorithm Structure, IEEE Transactions on Power Systems, v. 28 (3), pp. 2111-2120, doi: 10.1109/TPWRS.2012.2229302.
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Yousefian, F., A. Nedich, and U. V. Shanbhag, (2013). A regularized smoothing stochastic approximation (RSSA) algorithm for stochastic variational inequality problems, 2013 Winter Simulations Conference (WSC), pp. 933-944, doi: 10.1109/WSC.2013.6721484.
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Jiang, H., and U. V. Shanbhag, (2012). On the convergence of joint schemes for Online Computation and Supervised Learning, To appear in IEEE Conference on Decision and Control (CDC).
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Kannan, A., and U. V. Shanbhag, (2012). Distributed computation of equilibria in monotone Nash games via iterative regularization techniques, SIAM Journal of Optimization, Volume 22, Number 4, Pages 1177-1205.
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Koshal, J., A. Nedich, and U. V. Shanbhag, (2012). A Gossip Algorithm for Aggregative Games on Graphs, To appear in IEEE Conference on Decision and Control (CDC).
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Kulkarni, A. A., and U. V. Shanbhag, (2012). On the Variational Equilibrium as a Refinement of the Generalized Nash Equilibrium, Automatica, v. 48 (1), pp. 45–55.
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Kulkarni, A. A., and U. V. Shanbhag, (2012). Recourse-based Stochastic Nonlinear Programming: Properties and Benders-SQP Algorithms, Computational Optimization and Applications (doi:10.1007/s10589-010-9316-8).
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Kulkarni, A. A., and U. V. Shanbhag, (2012). Revisiting Generalized Nash Games and Variational Inequalities, Journal of Optimization Theory and Applications, v. 154 (1), pp. 175–186.
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Lo Prete, C., B. F. Hobbs, C. S. Norman, S. Cano-Andrade, A. Fuentes, M. R. von Spakovsky, and L. Mili, (2012). “Sustainability and reliability assessment of microgrids in a regional electricity market,” Energy, v. 41, pp. 192-202.
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Wang, G., M. Negrete-Pincetic, A. Kowli, E. Shafieepoorfard, S. P. Meyn, and U. V. Shanbhag, (2012). Real-time Prices in an Entropic Grid, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT), pp. 1-8, doi: 10.1109/ISGT.2012.6175822.
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Wang, G., U. V. Shanbhag, and S. P. Meyn, (2012). On Nash equilibria in duopolistic power markets with make-whole uplift, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), pp. 472-477, doi: 10.1109/CDC.2012.6425983.
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Yin, H., P. G. Mehta, S. P. Meyn, and U. V. Shanbhag, (2012). Synchronization of Oscillators is a Game, IEEE Transactions on Automatic Control, v. 57 (4), pp. 920–935.
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Yousefian, F., A. Nedich, and U. V. Shanbhag, (2012). On stochastic gradient and subgradient methods with adaptive steplength sequences, Automatica, v. 48 (1), pp. 56–67.
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G. Wang, U. V. Shanbhag, T. Zheng, E. Litvinov, and S. P. Meyn, (2011). A Pivot-Based Global Optimization Technique for Convex Hull Pricing, Accepted in the IEEE Power Engineering Symposium (PES).
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Indrakanti, P., J. D. Kubicki, and H. H. Schobert, (2011). Photinduced Activation of CO2 on TiO2 Surfaces: Quantum Chemical Modeling f CO2 Adsorption on Oxygen Vacancies. Fuel Processing Technology, Vo., 92, DE-j.fuproc.2010.09.007, pp. 805-811.
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Jiang, H., U. V. Shanbhag, and S. P. Meyn, (2011). Learning equilibria in constrained Nash-Cournot games with misspecified demand functions, IEEE Conference on Decision and Control (CDC).
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Kannan, A., U. V. Shanbhag, and H. M. Kim, (2011). Strategic Behavior in Power Markets under Uncertainty, Energy Systems, v. 2 (2), pp. 115–141.
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Koshal, J., A. Nedich, and U. V. Shanbhag, (2011). Multiuser Optimization: Distributed Algorithms and Error Analysis, SIAM Journal of Optimization, v. 21 (3), pp. 1168-1199.
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Koshal, J., A. Nedich, and U. V. Shanbhag, (2011). Single timescale Stochastic Approximation for Stochastic Nash Games in Cognitive Radio Systems, (Invited) (To appear in the Proceedings of the 17th International Conference on Digital Signal Processing).
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Lakhera, S., U. V. Shanbhag, and M. McInerney, (2011). Approximating Electrical Distribution Networks via Mixed-integer Nonlinear Programming, International Journal of Electric Power and Energy Systems, v. 33 (2), pp. 25–257.
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