Professor Agarwal’s teaching interests lie broadly in the field of Operations Management and Information Systems. In the last five years, he has taught courses such as Business Statistics, Operations Management, Information Systems in Organizations, Systems Analysis and Design, Database Systems, Programming Languages and Decision Support Systems. His primary research interests are in developing heuristics and metaheuristics for a variety of combinatorial optimization problems. He also does research in the use of artificial intelligence techniques such as Neural Networks and Genetic Algorithms for Data Mining and other problems. He has published in journals such as INFORMS Journal on Computing, Naval Research Logistics, European Journal of Operational Research, Computers and Operations Research, Annals of Operations Research and Information Technology and Management. He serves on the editorial board of Information Technology and Management and Enterprise Information Systems. He has worked in industry as Systems Analyst and Programmer. Prior to joining USF, Professor Agarwal served on the faculty of University of Florida.
Agarwal, A., Colak, S., Deane, J. and Rakes, T., “The Task Scheduling Problem: A NeuroGenetic Approach,” Journal of Business and Economics Research, forthcoming, 2014.
Agarwal, A., Colak, S. and Erenguc, S.S., “Metaheuristic Methods for the Resource Constrained Project Scheduling Problem,” In: Schwindt, C. and Zimmermann, J. (eds), Handbook of Project Management, forthcoming 2014.
Agarwal, A., Colak, S. and Erenguc, S.S., “Multi-Mode Resource Constrained Project Scheduling Problem for Renewable Resource – New Solution Approaches,” Journal of Business and Economics Research, forthcoming, 2013.
Deane, J. and Agarwal, A., “Scheduling Online Advertisements to Maximize Revenue under Non-Linear Pricing,” Journal of Computer Information Systems, forthcoming, 2013.
Deane, J. and Agarwal, A., (2013) .“Neural, Genetic and Neurogenetic Approaches For Solving the 0-1 Multidimensional Knapsack Problem,” International Journal of Management Information Systems, 17(1), 43-54.
Deane, J., and Agarwal, A., (2012). “Scheduling Online Advertisements to Maximize Revenue Under Variable Display Frequency,” OMEGA, The International Journal of Management Science, 40(5), 562-570.
Deane, J., Rakes, T. and Agarwal, A., (2012). "Designing Content Distribution Networks for Optimal Cost and Performance,” Information Technology and Management, 13(1), 1-15.
Kasap, N. and Agarwal, A., (2012). “Augmented Neural Networks and Problem-Structure Based Heuristics for the Bin-Packing Problem,” International Journal of Systems Science, 43(8), 1412-1430.
Agarwal, A., Ramamoorti, S. and Jayaraman, V., (2011). “Decision Support Systems for Strategic Dispute Resolution,” International Journal of Management & Information Systems, 15(4) 13-30
Agarwal, A., Colak, S., and Erenguc, S.S., (2011). "A Neurogenetic Approach for the Resource-Constrained Project Scheduling Problem," Computers and Operations Research, 38, 44-50.
Agarwal, A., Colak, S., and Deane, J., (2010)."NeuroGenetic Approach for Combinatorial Optimization: An Exploratory Analysis," Annals of Operations Research, 174(1) 185-199.
Agarwal, A. and Jayaraman, V. (2010). "Scheduling to Minimize Penalties for Suppliers in Integrated Supply Chains," International Journal of Manufacturing Technology and Management, 19(1/2), 68-81.
Agarwal, A., (2009). "Theoretical Insights into Augmented Neural Networks for Combinatorial Optimization," Annals of Operations Research, 168 (1), 101-117.