Tapas Das

(*Ph.D. advisee, **Master’s advisee)

*Melendez, K. A., *Subramanian, V., Das, T. K., and Kwon, C. 2019. Empowering end-use consumers of electricity to aggregate for demand side participation. Applied Energy (to appear)

*Subramanian, V., and Das, T. K., 2019. A two-layer model for dynamic pricing of electricity and optimal charging of electric vehicles under price spikes. Energy 167 (2019): 1266-1277. https://doi.org/10.1016/j.energy.2018.10.171

Charkhgard, H., *Subramanian, V., *Silva, W., and Das, T. K., 2018.  An integer linear programming formulation for removing nodes in a network to minimize the spread of influenza virus infections. Discrete Optimization, Volume 30, November 2018, pages 144-167. https://doi.org/10.1016/j.disopt.2018.06.005

*Silva Sotillo W., Das, T. K., and Izurieta, R., 2017.Estimating disease burden of a potential A(H7N9) pandemic influenza outbreak in the United States. BMC Public Health. 2017 Nov 25;17(1):898. doi: 10.1186/s12889-017-4884-5.

*Ghalebani, A. and Das, T. K. 2017. Design of Financial Incentive Programs to Promote Net Zero Energy Buildings. IEEE Transactions on Power Systems, 32, 1, 2017, DOI: 10.1109/TPWRS.2016.2531090

*Feijoo, F., *Silva Sotillo, W., and Das, T. K. 2016. A Computationally Efficient Electricity Price Forecasting Model for Real time Energy Markets. Energy Conversion and Management 113 (2016) 27–35. DOI:10.1016/j.enconman.2016.01.043

*Prieto, D. and Das, T. K., 2016. An operational epidemiological model for calibrating simulations of pandemic influenza outbreaks, Health Care Manag Sci, Volume 19, Issue 1, pp 1–19 DOI: 10.1007/s10729-014-9273-3

*Abdollahian, M. and Das, T. K. 2015. A MDP model for breast and ovarian cancer intervention strategies for BRCA1/2 mutation carriers. IEEE Journal of Biomedical and Health Informatics, Vol 19, Issue 2, pp 720-727. DOI 10.1109/JBHI.2014.2319246

*Feijoo, F. and Das, T. K. 2015 Emissions control via carbon policies and microgrid generation: A bilevel model and Pareto analysis. Energy, Vol. 90, Part 2, pg. 1545–1555. doi:10.1016/j.energy.2015.06.110

*Rocha, P., Das, T. K., *Nanduri, V., and Botterud, A. 2015. Impact of CO₂ cap-and-trade programs on restructured power markets with generation capacity investments. Electric Power and Energy Systems, 71 (2015) 195-208.

*Martinez, D. L. and Das, T. K. 2014. Design of non-pharmaceutical intervention strategies for pandemic influenza outbreaks. BMC Public Health 2014, 14: 1328, doi: 10.1186/1471-2458-14-1328.

*Feijoo, F. and Das, T. K. 2014. Design of Pareto Optimal CO₂ Cap-and-Trade Policies for Deregulated Electricity Networks. Applied Energy, vol. 119, pg. 371-383; doi: http://dx.doi.org/10.1016/j.apenergy.2014.01.019

*Prieto, D. M., Das, T. K., Savachkin, A., Uribe, A., Izurieta, R., and Malavade, S. 2012.  A Systematic Review to Identify Areas of Enhancements of Pandemic Simulation Models for Higher Practical Usability. BMC Public Health 2012, 12:251, doi:10.1186/1471-2458-12-251

*Rocha, P. and Das, T. K. 2011. Finding Joint Bidding Strategies for Day-Ahead Electricity and Related Markets. Handbook of Networks in Power Systems I, Energy Systems, A Sorokin et al. (eds.) DOI 10.1007, 978-3-642-23193-3_3 Springer-Verlag, Heidelberg, Berlin, 2012.

Uribe A., Savachkin A., Das T. K., Santana A., *Prieto D. 2011. A Predictive Decision Aid Methodology for Dynamic Mitigation of Influenza Pandemics. OR Spectrum, 33 (3), pg. 751-786, DOI: 10.1007/s00291-011-0249-0. 

*Gopalappa, C., Aydogan-Cremaschi, S., Das, T. K., and Orcun, S. 2011. Probability Model for Estimating Colorectal Polyp Progression Rates.  Health Care Management Science, Volume 14, Number 1 (2011), 1-21, DOI: 10.1007/s10729-010-9138-3

Das, T. K., *Rocha, P. and *Babayigit, C. 2010. A Matrix Game Model for Analyzing FTR Bidding Strategies in Deregulated Electric Power Markets. Int. Journal of Electrical Power and Energy Systems, volume 32, 7, pp. 760-768.   

*Babayigit, C., *Rocha, P. and Das, T.K., 2010. A Two-Tier Matrix Game Approach for Obtaining Joint Bidding Strategies FTR and Energy Markets. IEEE Transactions on Power Systems, Vol. 25, 3, pp. 1211-1219.

*Gopalappa, C., Das, T. K., Enkemann, S. and Eschrich, S. 2009. Removal of Hybridization and Scanning Noise from Microarrays. IEEE Transactions on NanoBioscience, Sep;8(3):210-218

*Nanduri, V., Das, T. K., and *Rocha, P. 2009. “Generation Capacity Expansion in Energy Markets using a Two-Level Game Theoretic Model," IEEE Transactions on Power Systems, Vol. 24, 3, pp. 1165-1172.

*Nanduri, V. and Das, T.K. 2009. A Reinforcement Learning Algorithm for obtaining Nash Equilibrium of Multi-player Matrix Games. IIE Transactions on Operations Engineering, Vol. 41, 2, pp. 158-167.

*Nanduri, V. and Das, T. K. 2009. "A Survey of Critical Research Areas in the Energy Sector of Deregulated Electricity Markets", Electrical Power & Energy Systems, Vol. 31, 5, pp 181-191.

Das, T. K., Savachkin, A. and Zhu, Y., 2008. A Large-Scale Simulation Model of Pandemic Influenza Outbreaks for Development of Dynamic Mitigation Strategies. IIE Transactions, Vol. 40, 9, pp. 893-905.

*Ganesan, R., Rao, A.N.V., and Das, T.K., 2008.  A Multiscale Bayesian SPRT Approach for Online Process Monitoring. IEEE Transactions on Semiconductor Manufacturing, Vol. 21, 3, pp. 399-412.

*Nanduri, V. and Das, T. K. 2007. A Methodology for Evaluating Auction Based Pricing Strategies in Deregulated Electricity Markets. IEEE Transactions on Power Systems, Vol. 22, 1, pp. 85-95.

*Ganesan, R., Das, T. K., and Ramachandran, K., 2007. A Multiresolution Analysis-Assisted Reinforcement Learning Approach to Run-by-Run control. IEEE Transactions on Automation Science and Engineering, Vol. 4, 2, pp. 182-193.

**Fakih, S. J., and Das, T. K., 2006, LEAD: A Methodology for Learning Efficient Approaches to Medical Diagnosis. IEEE Transactions on Information Technology in BioMedicine, Vol. 10, 2, pp. 220-228.

Das, T. K., *Ganesan, R., Sikdar, A., and Kumar, A., 2005. Online End Point Detection in CMP using SPRT of Wavelet Decomposed Sensor Data. IEEE Transactions on Semiconductor Manufacturing, 18, 3, 440-447.  

*Paternina-Arboleda, C. D. and Das, T. K., 2005. A Multi-Agent Reinforcement Learning Approach to Obtaining Dynamic Control Policies or Stochastic Lot Scheduling Problem. Simulation Modeling Practice and Theory, 13, 389-406.  

*Ganesan, R., Das, T. K., and **Venkataraman, V., 2004. Wavelet Based Multiscale Statistical Process Monitoring – A Literature Review. IIE Transactions on Quality and Reliability  Vol 36. pp 787-806.

**Ragupathi, R. and Das, T. K. 2004. “Stochastic Game Approach for Modeling Wholesale Energy Bidding in Deregulated Power Markets.” IEEE Transactions on Power Systems, 19, 2, pp. 849-856.

**Ravulapati, K. K., Rao, J., and Das, T. K., 2004. A Reinforcement Learning Approach to Stochastic Business Games. IIE Transactions on Scheduling and Logistics, 36, pp. 373-385.

*Gosavi, A., Das, T. K. and Sarkar, S., 2004. A Simulation-Based Learning Automata Framework for Solving Semi-Markov Decision Problems Under long-Run average Reward. IIE Transactions in Operations Engineering, 36, 6, pp. 557-567.

*Gansan, R., Das, T. K., Sikdar, A., and Kumar, A., 2003. Wavelet Based Detection of Delamination Defect in CMP Using Nonstationary Acoustic Emission Signal. IEEE Transactions on Semiconductor Manufacturing, 16, 4, pp 677-685.

Rao, J., **Ravulapati, K. K., and Das, T. K., 2003. A Simulation Based Approach to Study Stochastic Inventory-Planning Games.  International Journal of Systems Science, 34, 12-13, pp 717-730 .                                                                                                                     

*Gosavi, A., Bandla, N., and Das, T. K. 2002. “A Reinforcement Learning Approach to Airline Seat Allocation for Multiple Fare Classes with Overbooking.” IIE Transactions, Special Issue on Advances on Large-Scale Optimization for Logistics, Production and Manufacturing systems, 34, 9, pp. 729-742.

Das, T. K., *Gosavi, A., and **Kanchibhatta, K, M., 2002. “Optimal Design of Plans for Acceptance Sampling by Variables with Inverse Gaussian Distribution” Communications in Statistics, Simulation and Computation, 31, 3, pp. 463-488. 

Pontrandolfo, P., *Gosavi, A., Okogbaa, G., and Das, T. K., 2002. “Global Supply Chain Management: A Reinforcement Learning Approach.” International Journal of Production Research, 6, 40, pp. 1299-1317.

*Pachano-Azuaje, F. and Das, T. K. 2001. Simultaneous Monitoring of Mean and Variance Through Optimally Designed SPRT Charts. Integrated Optimal Modeling in Production, Inventory, and Quality Management (edited by A. Rahim and Mohamed Ben-Daya), Kluwer Academic Publishers.

*Paternina-Arboleda, C. D. and Das, T. K., 2001. “Intelligent Dynamic Control Policies for Serial Production Lines.” IIE Transactions on Design and Manufacturing, 33, 1, pp. 65-77. 

Das, T.K., A. *Gosavi, S. Mahadevan, and N. Marchalleck, 1999. Solving Semi-Markov Decision Problems using Average Reward Reinforcement Learning. Management Science, 45, 4, pp. 560-574.

Das, T. K. and Sarkar, S., 1999. "Optimal Maintenance in a Single Machine Production Inventory Systems." IIE Transactions on Quality and Reliability Engineering, 31, 6, pp. 537-551.

Das, T. K. and Miller, W. A., 1999. "Quality Control in Cellular Manufacturing," Handbook on Cellular Manufacturing Systems, John Wiley, edited by S. A. Irani, pp. 275-317.

Das, T. K., **V. Jain, and *A. Gosavi,  1997. "Economic Design of Dual Sampling Interval Policies for X-Bar Charts." IIE Transactions on Quality and Reliability Engineering, 29, 9.                     

Das, T. K. and **V. Jain, 1997. "A Design Methodology for Random Sampling Policies for X-Bar Control Charts." IIE Transactions on Quality and Reliability Engineering, 29, 9.                                                                     

Das, T. K. and M. A. Wortman, 1993. "On Performance Evaluation of n-Unit Priority Standby Systems." International Journal of Systems Science, 24, 3, 553-562.

Das, T. K. and M. A. Wortman, 1993. "Analysis of the Performance of Automated Visual Inspection in Controlling Reliability of Multistage Production Systems." IEEE Transactions on Reliability, 42, 3, 362-368.

Das, T. K. and M. A. Wortman, 1993. "Asymmetric Patrolling Repairman Systems with General Repair Time and Walk Time Distributions: Cost Analysis of Service Schedules." IIE Transactions, 25, 6, 19-26.

Das, T. K. and M. A. Wortman, 1993. "Analysis of Asymmetric Patrolling Repairman Systems." European Journal of Operational Research, 64, 1, 45-50.

Das, T. K. and M. A. Wortman, 1992. "Performance of N Groups of K-Out-of-M:G Machines Maintained by a Single Repairman." Naval Research Logistics, 39, 919-936.

Das, T. K., M. H. Han, and A. J. G. Babu, 1989. " A Model for Capacity Planning of Flexible Robotic Assembly Systems." International Journal of Production Research, 27, 12, 2075-2088.