Education:

Employment:
Research Interests:

Business Analytics, Big Data, Optimization, The Internet of Things, Retail Analytics, Heuristics, Metaheuristics, Neural Networks, Genetic Algorithms, Data Mining, Resource Constrained Project Scheduling, Job Shop Scheduling, Open Shop Scheduling, Flow Shop Scheduling, Supply Chain Management, The Knapsack Problem, Decision Support Systems, Quality Control in Healthcare.

Google Scholar Page

Teaching Interests:

Big Data Analytics, Business Analytics, Business Statistics, Econometrics, Operations and Supply Chain Management, Quality Management, Information Systems in Organizations, Database Design and Development, Systems Analysis and Design, Programming languages (Visual Basic .Net, C# . Net, Python, Julia), R, Project Management, Web and Mobile Technologies

Oversees Teaching Experience:
Awards and Recognitions:
Research:
 
Research Publications: Google Scholar Page
  1. Tang, G.X., Park, K.T., Agarwal, A., and Liu, F., "Impact of Innovation Culture, Organization Size and Technological Capability on the Performance of SMEs: The Case of China", Sustainability, 2020, 12(4), 1355; doi:10.3390/su12041355 (pdf)
  2. Agarwal, A., Unhelkar, B., “The Internet of Things”, Book Chapter in The Handbook on Geographies of the Internet, Edward Elgar publishers, Ed. Barney Warf, 2020. (pdf)
  3. Ngo, F., Agarwal, A., Govindu, R., MacFonald, C., "Malicious Software Threats", Book Chapter in The Palgrave Handbook of International Cybercrime and Cyberdeviance, Ed. Thomas J. Holt, 2019.
  4. Ngo, F., Govindu, R., Agarwal, A. "Traditional Regression Methods versus the Utility of Machine Learning Techniques in Forecasting Inmate Misconduct in the United States: An Exploration of the Prospects of the Techniques", International Journal of Criminal Justice Sciences, 2018, 13 (2): 420–437. DOI: 110.5281/zenodo.2657668 / (pdf)
  5. Agarwal, A., Unhelkar, B., “The Internet of Things”, an invited, 2500-word count entry in the Encyclopedia of the Internet, Sage Publications, Ed. Barney Warf, 2017. (pdf)
  6. Park, G.W., Kim, Y.S, Park, K.T., and Agarwal, A., "Patient-Centric Quality Assessment Framework for Healthcare Services," Technological Forecasting and Social Change, 2016, (113, Part-B) 468-474. (pdf)
  7. Agarwal, A., Govindu, R, Ngo, F., Lodwig, S., "Solving the Jigsaw Puzzle: An Analytics Framework for Context Awareness in the Internet of Things," The Cutter Journal, 2016, 29(4) 6-11. (pdf)
  8. Ramamoorti, S., Agarwal, A., and Nijhavan, S., “Big Data and Continuous Monitoring: A Synergy Whose Time Has Come?”, Internal Auditing, 2016, Jan-Feb, 19-26. (pdf)
  9. Agarwal, A., Colak, S. and Erenguc, S.S., “Metaheuristic Methods for the Resource Constrained Project Scheduling Problem,” Invited Chapter in: Handbook on Project Management and Scheduling, Volume 1, Schwindt, C. and Zimmermann, J. (eds) Springer, 2015, 57-76.
  10. Whitmore, A., Agarwal, A. and Xu, L., "The Internet of Things - A Survey of Topics and Trends," Information Systems Frontiers, 2015, 17(2) 261-274. (pdf)
  11. Shatskikh, A., Yang, W., Cobanoglu, C., and Agarwal, A., "Are Consumers Ready for Mobile Payment? An Examination of Consumer Acceptance of Mobile Payment Technology in Restaurant Industry", FIU Hospitality Review, 2015, 31(4), Article 6. link for the paper.
  12. Ngo, F., Govindu, R. and Agarwal, A., "Assessing the Predictive Utility of Logistic Regression, Classification and Regression Tree, Chi-Squared Automatic Interaction Detection and Neural Network Models in Predicting Inmate Misconduct" American Journal of Criminal Justice, 2015, 40 : 47-74. (pdf)
  13. Agarwal, A.,Colak, S., Deane, J. and Rakes, T., “The Task Scheduling Problem: A NeuroGenetic Approach,” Journal of Business and Economics Research, 2014, 12(4), 327-334. (pdf)
  14. 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, November, 2013, 11(11), 455-467. (pdf
  15. Deane,J. and Agarwal, A., “Scheduling Online Advertisements to Maximize Revenue under Non-Linear Pricing,”Journal of Computer Information Systems, 2013, 53(2), 85-92. (pdf)
  16. Deane,J. and Agarwal, A., “Neural,Genetic and Neurogenetic Approaches For Solving the 0-1 Multidimensional Knapsack Problem,”International Journal of Management Information Systems, 2013, 17(1), 43-54. (pdf)
  17. Kasap, N. and Agarwal, A., “Augmented Neural Networks and Problem-Structure Based Heuristics for the Bin-Packing Problem,” International Journal of Systems Science, 2012, 43(8), 1412-1430. (pdf)
  18. Deane, J., and Agarwal, A, “Scheduling Online Advertisements to Maximize Revenue Under Variable Display Frequency,” OMEGA, The International Journal of Management Science, 2012, 40(5), 562-570. (pdf)
  19. Deane, J., Rakes, T. and Agarwal, A., "Designing Content Distribution Networks for Optimal Cost and Performance,” Information Technology and Management, 2012, 13(1), 1-15. (pdf)
  20. Agarwal, A., Ramamoorti, S. and Jayaraman, V., “Decision Support Systems for Strategic Conflict Resolution,” International Journal of Management Information Systems, 2011, 15(4), 13-30. (pdf)
  21. Agarwal, A., Colak, S., and Erenguc, S.S., “A Neurogenetic Approach for the Resource-Constrained Project Scheduling Problem,” Computers and Operations Research, 2011, 38(1), 44-50. (pdf)
  22. Agarwal, A., Colak, S., and Deane, J., "NeuroGenetic Approach for Combinatorial Optimization: An Exploratory Analysis," Annals of Operations Research, 2010, 174(1),185-199. (pdf)
  23. Agarwal, A. and Jayaraman, V., "Scheduling to Minimize Penalties for Suppliers in Integrated Supply Chains," International Journal of Manufacturing Technology and Management, 2010, 19 (1/2), 68-81.
  24. Agarwal, A., “Theoretical Insights into in Augmented Neural Networks for Combinatorial Optimization,”Annals of Operations Research, 2009, 168(1), 101-117. (pdf)
  25. Agarwal, A. and Wei, J., “Editorial for Special Issue (Volume-2) on Workshop in Artificial Intelligence and Data Mining,” Journal of Information Technology and Management, 2009, 10(4).
  26. Agarwal, A. and Wei, J., “Editorial for Special Issue (Volume-1) on Workshop in Artificial Intelligence and Data Mining,” Journal of Information Technology and Management, 2009, 10(1).
  27. Agarwal, A. and Malik, K., “Editorial for Special Issue on First International Conference on Information Systems Technology and Management,” Journal of Information Technology and Management, 2009, 10(1)
  28. Agarwal, A., Jayaraman, V. and Ross, A., "Role of Information Technology and Collaboration in Reverse Logistics Supply Chain," International Journal of Logistics: Research and Applications, 2008, 11(6), 409-425. (pdf)
  29. Agarwal, A., “A Neurogenetic Approach for Multiprocessor Scheduling,” Multiprocessor Scheduling, Ed. Eugene Levner, I-TECH Education and Publishing, 2007, 121-136. (pdf)
  30. Colak, S., Agarwal, A. and Erenguc, S.S.,“Resource Constrained Project Scheduling Problem: A Hybrid Neural Approach,” Perspectives in Modern Project Scheduling, Eds. Jan Weglarz and Joanna Jozefowska,2006, 297-318. (pdf)
  31. Agarwal, A., Colak, S., Jacob, V. and Pirkul, H., “Heuristics and Augmented Neural Networks for Task Scheduling with Non-Identical Machines,” European Journal of Operational Research, 2006, 175(1), 296-317. (pdf)
  32. Agarwal, A., Colak, S. and Eryarsoy, E., “Improvement Heuristics for the Flow-Shop Scheduling Problem: An Adaptive Learning Approach,” European Journal of Operational Research, 2006, 169 (3),801-815. (pdf)
  33. Agarwal, A., Jacob, V. and Pirkul, H., “An Improved Augmented Neural-Networks Approach for Scheduling Problems,” INFORMS Journal on Computing, 2006, 18(1), 119-128. (pdf)
  34. Colak, S. and Agarwal, A., “Non-greedy Heuristics and Augmented Neural Networks for the Open-Shop Scheduling Problem,” Naval Research Logistics, 2005, 52(7), 631-644. (pdf)
  35. Agarwal, A., Jacob. V. and Pirkul, H., "Augmented Neural Networks for Task Scheduling," European Journal of Operational Research, 2003, 151 (3), 481-502. (pdf)
  36. Agarwal, A.and Bose, I., “Predicting the Survival and Attrition of Click and Mortar Corporations,” Neural Networks in Business: Techniques and Applications, Eds. Smith, K. and Gupta, J., 2002, 112-123.
  37. Barniv, R. and Agarwal, A., "Predicting Bankruptcy Resolution," Journal of Business Finance and Accounting,  2002,29(3), 497-520. (pdf)
  38. Agarwal, A., Davis, J. and Ward, T., “Supporting Ordinal Four-State Classification Decisions Using Neural Networks,” Information Technology and Management, 2(1), 2001, 5-26. (pdf)
  39. Agarwal,A. and Altieri, M.P., “An Object-Oriented Approach for Computing the Present Value/Cost of Deferring Income Under a Non-Qualified Deferred Compensation Agreement,” Journal of Deferred Compensation,5(2), 2000, 73-79.
  40. Agarwal, A., “Abductive Networks for Two-Group Classification: A Comparison with Neural Networks,” Journal of Applied Business Research, 1999, 15(2), 1-12. (pdf)
  41. Barniv, R., Agarwal, A. and Leach, R., “Predicting the Outcome Following Bankruptcy Filing: A Three-State Classification Using Neural Networks,” Intelligent Systems in Accounting, Finance and Management, 1997, 6(3), 177-194.
Research Presentations:
  1. Govindu, R., Agarwal, A., "Mixed Integer Linear Programming Formulation for a Supply Chain Scheduling Problem With Penalties," POMS Annual Conference, Washington D.C., May 3-6, 2019
  2. Govindu, R., Agarwal, A., "An MILP  Formulation for the Flowshop Lot Streaming Problem," POMS Annual Conference, Washington D.C., May 3-6, 2019
  3. Govindu, R., Agarwal, A., "A Mixed Integer Linear Programming formulation for Scheduling Permutation Flowshop Lot Streaming Problems," INFORMS Annual Conference, Phoenix, AZ, Nov 4-7, 2018
  4. Govindu, R., Agarwal, A., "Heuristics Versus Exact Method Comparison Of A Supply Chain Scheduling Problem With Penalties" INFORMS Annual Conference, Phoenix, AZ, Nov 4-7, 2018
  5. Govindu, R., Agarwal, A., "A Mixed Integer Linear Programming formulation for Scheduling Permutation Flowshop Lot Streaming Problems," POMS Annual Conference, Houston, TX, May 4-7, 2018
  6. Govindu, R., Agarwal, A., "Performance comparison of Heuristics and Exact Method on a Supply Chain Scheduling Problem with Penalties", POMS Annual Conference, Houston, TX, May 4-7, 2018
  7. Govindu, R., Agarwal, A., "Heuristics for Lot Streaming in Flow Shop Scheduling," INFORMS Annual Conference, Nashville, TN, Nov. 13-16, 2016.
  8. Govindu, R, Agarwal, A. and Curran, J.,  “The Retail Shelf Space Problem: An Analytics Approach,” POMS Annual Conference, May 8, 2016, Orlando, FL.
  9. Agarwal, A.and Govindu, R., “New Heuristics for Lot Streaming in Flowshop Scheduling,” POMS Annual Conference, May 9, 2016, Orlando, FL.
  10. Agarwal, A., "Predictive Analytics in Big Data" Invited presentation at the  PMI Tampa Bay Chapter, Sarasota, March 15, 2016.
  11. Agarwal, A., "Big Data Analytics - Not just for Big Businesses" Invited presentation at the PMI Tampa Bay Chapter
  12. Agarwal, A., "Predictive Analytics and Text Analytics in Big Data", Invited presentation at the Suncoast Technology Forum, Sarasota, February 16, 2016.
  13. Govindu, R, Agarwal, A. and Curran, J., "An Analytics Framework for the Retail Shelf Space Problem," INFORMS Annual Conference, Nov. 1, 2015, Philadelphia, PA, USA.
  14. Agarwal, A.and Govindu, R., “Issues in Batch Flowship and Lot Streaming Problems,”  INFORMS Annual Conference, Nov. 1, 2015, Philadelphia, PA, USA.
  15. Agarwal, A., "Big Data Analytics" Invited presented at Korea Advanced Institute of Science and Technology(KAIST), Seoul, July 24th, 2015.
  16. Agarwal, A., "Big Data Analytics" Invited presentation at the Suncoast Technology Forum, Sarasota, February 17, 2015.
  17. Agarwal, A., and Govindu, R., "Metaheuristics for a Supply Chain Scheduling Problem with Delivery Splitting," POMS Annual Conference, May 2015, Washington DC.
  18. Agarwal, A. and Govindu, R., "Efficient Heuristics for the Multi-Unit Flow Shop Problem," POMS Annual Conference, May 2015, Washington DC.
  19. Agarwal, A., and Govindu, R., "A Neurogenetic Approach for the Flow Shop Scheduling Problem," at POMS Annual Conference, May 2015, Washington DC.
  20. Govindu, R, Agarwal, A. and Curran, J., "An Analytics Framework for the Retail Shelf Space Problem," POMS Annual Conference, May 2015, Washington DC.
  21. Govindu, R., and Agarwal, A., "Metaheuristic Based Solution for a Supply Chain Scheduling Problem Involving Multiple Customers," Annual DSI Conference, Nov. 2014, Tampa, FL
  22. Agarwal, A.,  and Govindu, R. and Curran, J.,, "Data Driven Optimization for Retail Shelf Space," INFORMS Annual Meeting, San Francisco, Nov 8-12, 2014.
  23. Govindu, R., and Agarwal, A., "Minimizing Penalties in Supply Chain Scheduling Involving Multiple Customers,"  INFORMS Annual Meeting, San Francisco, Nov 8-12, 2014.
  24. Agarwal, A., Jayaraman, V. and Ross, A. "Penalty Minimization in Supply Chain Scheduling for Multiple Customers," 25th Annual POMS Conference, Atlanta, GA, May 9-12, 2014.
  25. Boundary Conditions for Economics Driven Objective Functions in Project Scheduling," 25th Annual POMS Conference, Atlanta, GA, May 9-12, 2014.
  26. Agarwal, A., Govindu, R, Jayaraman, V. and Ross, A. "Issues in Lean Supply Chain Scheduling under Volatile Demand from Multiple Customers," 24th Annual POMS Conference, Denver, CO, May 3-6,2013.
  27. Agarwal, A., and Deane, J., "Optimization Models for Scheduling Banner Ads for Multiple Web Sites," 24th Annual POMS Conference, Denver, CO, May 3-6, 2013.
  28. Agarwal, A."Boundary Conditions for using Alternative Objectives in Project Scheduling," 24th Annual POMS Conference, Denver, CO, May 3-6, 2013.
  29. Agarwal, A. and Curran, J, “Models for the Retail Shelf Space Optimization Problem: New Solution Approaches,” 24th Annual POMS Conference, Denver, CO, May 3-6, 2013.
  30. Agarwal, A. and Deane, J, “Banner Ad. Scheduling Model for Multiple Web Sites under Variable Display Frequency,” 23rd Annual POMS Conference, Chicago, IL, April 20-23, 2012.
  31. Agarwal, A. “Are the commonly used objectives in Scheduling Economically Optimal?” 23rd Annual POMS Conference, Chicago, IL, April 20-23, 2012.
  32. Agarwal, A. and Curran, J, “The Retail Shelf Space Optimization Problem: Math Models, Heuristics and Metaheuristics,” 23rdAnnual POMS Conference, Chicago, IL, April 20-23, 2012.
  33. Agarwal, A., Jayaraman, V. and Ross, A., “Resource Estimates and Partial Delivery For Penalty Minimization in Supply Chain Management,” 23rd Annual POMS Conference, Chicago, IL, April 20-23, 2012.
  34. Agarwal, A., Jayaraman, V., and Srivastava, R., “Risk Minimization in Emergency Response Systems with Multiple Equipment Types,”23rd Annual POMS Conference, Chicago, IL, April 20-23, 2012.
  35. Ngo, Fawn T. and Agarwal, A., “Comparing Logistic Regression and Neural Networks in Predicting Inmate Misconduct,” Western Society of Criminology Meeting: Newport Beach,CA., 2012.
  36. Agarwal, A., Jayaraman, V. and Ross, A., “Scheduling Issues for a Non-Dedicated Supplier in Lean Integrated Supply Chains,” at University of Wisconsin, Milwaukee, May 19th, 2012. (Invited Presentation)
  37. Ngo,Fawn T. and Agarwal, A., “Using Neural Networks to Predict Inmate Misconducts,”  Annual American Society of Criminology Meeting, 2011, Washington, D.C.
  38. Agarwal, A., Jayaraman, V. and Ross, A., "Minimizing Penalties with Partial Deliveries in Integrated Supply Chains in Lean Manufacturing," 22nd Annual Production and Operations Management Conference, Reno, NV, 2011.
  39. Agarwal, A., “Towards Economically Optimal Objectives for Resource-constrained Project Scheduling,” 22nd Annual Production and Operations Management Conference, Reno, NV, 2011.
  40. Deane,J., and Agarwal, A., “Scheduling Online Advertisements to Maximize Revenue under Variable Frequency,” Presented in the Research Seminar Series at USF, Sarasota, April, 2011.
  41. Agarwal, A., “Issues in Issues in Lean Scheduling for a Non-Dedicated Supplier in a Flexible Manufacturing Environment within an Integrated Supply Chain,” Presented in the Research Seminar Series at USF, Sarasota, March, 2010.
  42. Agarwal, A.,, Jayaraman, V., and Ross, A., "Scheduling with Multiple Deliveries For Penalty Minimization in Collaborative Supply Chains," Annual Meeting of the Decision Science Institute, Baltimore, 2008.
  43. Agarwal, A., Jayaraman, V. and Ross, A., "A Framework for Distribution Center Simulation: Opportunities for Understanding the Impact of RFID Deployment," 2nd International Conference on Information Systems Technology and Management, Dubai, 2008 
  44. Agarwal, A., “Neurogenetic Approaches for Combinatorial Optimization,” University of Akron, Akron, OH, 2008. (Invited Presentation).
  45. Agarwal, A., “Neurogenetic Approaches for Combinatorial Optimization,” University of Northern Illinois, DeKalb, IL, 2008. (Invited Presentation)
  46. Agarwal, A., "Neurogenetic Approaches for Common Business Optimization Problems," Korea Advanced Institute of Science and Technology, July 2008. (Invited Presentation).
  47. Agarwal, A., Jayaraman, V. and Ross, A., "Scheduling to Minimize Penalties for a Non-Dedicated Supplier in Integrated Supply Chains," Annual Meeting of Decision Science Institute, Phoenix, 2007.
  48. Agarwal, A., Colak, S., and Deane, J., "A NeuroGenetic Approach for Optimization Problems," INFORMS Annual Conference, Seattle, 2007.
  49. Agarwal, A.,Colak, S., and Deane, J., "Hybridizing Neural and Genetic Metaheuristics," First International Conference on Information Systems Technology and Management, New Delhi, India, 2007.
  50. Colak, S., Erenguc, S.S. and Agarwal, A., "A Neurogenetic Approach for Resource Constrained Project Scheduling," INFORMS Annual Conference, Pittsburgh, 2006.
  51. Agarwal, A., Jayaraman, V., and Srivastava, R., "Genetic Algorithms for Multiple Equipment Multiple Cover Facility Location Allocation Problem,"  INFORMS Annual Conference, Pittsburgh, 2006.
  52. Deane, J., and Agarwal, A., "Scheduling On-Line Advertisements Using Neural Network / Genetic Algorithm Based Metaheuristics," INFORMS Annual Conference, Pittsburgh, 2006.
  53. Agarwal, A., Jayaraman, V., Colak, S., and Pirkul, H., "Capacitated Hub and Router Network Design With Multi-drop Lines," DSI Annual Conference, San Antonio, 2006.
  54. Agarwal, A., Colak, S. and Erenguc,S.S., “Non-Greedy Heuristics and Adaptive Metaheuristics for the Multi-Mode RCPSP with Renewable Resources,” 10th International Workshop in Project Management and Scheduling, Poznan, Poland 2006.
  55. Agarwal, A., “Metaheuristics for Online Scheduling,” National Kaohsiung First University of Science and Technology, Taiwan, July 14th, 2006. (Invited Presentation).
  56. Agarwal, A., “Heuristics and Metaheuristics for Various Business Problems,” The Institute of Management Technology, India, July 3rd, 2006.(Invited Presentation)
  57. Agarwal, A., Colak and Erenguc, “Multi-Mode Resource-Constrained Project Scheduling Problem with Renewable Resources: Adaptive Metaheuristics,”  INFORMS National Conference, San Francisco, CA, November 2005.
  58. Deane, J. and Agarwal,A., “Banner Advertising Scheduling,”  INFORMS National Conference, San Francisco, CA, November 2005.
  59. Deane, J, and Agarwal, A., “Augmented Neural Networks for the Knapsack Problem,” INFORMS National Conference, Denver, CO, October 2004.
  60. Agarwal, A., Colak, S. and Erenguc, S.S., “Resource-Constrained Project Scheduling: The Augmented Neural Network Approach,” 9th International Workshop in Project Management and Scheduling, 2004, Nancy, France.
  61. Colak, S. and Agarwal, A., “Augmented Neural Network for the Open Shop Scheduling Problem,” 9th International Workshop in Project Management and Scheduling, 2004, Nancy, France.
  62. Agarwal, A., Colak, S., “Augmented Neural Network for the Open Shop Scheduling Problem,” INFORMS National Conference, Atlanta, October 2003.
  63. Agarwal, A., Colak, S., Eryarsoy, E., “Improvement Heuristics for the Flow-shop problem : An Adaptive Learning Approach,” INFORMS National Conference, Atlanta, October 2003.
  64. Agarwal, A. and Kasap, N., “Augmented Neural Networks and Problem Structure Based Heuristics for the Bin Packing Problem,”  INFORMS National Conference, Atlanta, October 2003.
  65. Agarwal, A., Jacob, V. and Pirkul, H., “Augmented Neural Networks for Scheduling,”  INFORMS National Conference, Miami,November 2001.
  66. Agarwal, A. and Bose, I., “Data Mining the International Stock Markets,” Twelfth Annual Decision and Information Sciences Workshop, Istanbul, Turkey, July 2000.
  67. Agarwal, A., Davis, J. and Ward, T., “Supporting Ordinal Four-State Classification Decisions Using Neural Networks,” Forum presentation at Fifth Annual AIS Research Symposium, Phoenix, AZ, February 1998.
  68. Agarwal, A., Jacob, V. and Pirkul, H., “Augmented Neural Networks for Job-Shop Scheduling,”  National INFORMS Conference, Dallas, October 29, 1997.
  69. Barniv, A., Agarwal, A. and Leach, R., “Predicting the Outcome Following Bankruptcy Filing: A Three-State Classification Using Neural Networks,”  AI/ES Section, National Convention of the American Accounting Association, Dallas, August 19, 1997.
  70. Barniv, A. and Agarwal, A. and Leach, R., “Predicting the Outcome Following Bankruptcy Filing: A Three-State Classification Using Neural Networks,” Third Joint Akron-Kent Accounting Research Seminar, Akron OH, February 14, 1997.
  71. Barniv, A. and Agarwal, A. and Leach, R., “Predicting the Outcome Following Bankruptcy Filing: A Three-State Classification Using Neural Networks,” Third Joint Akron-Kent Accounting Research Seminar, Akron OH, February 14, 1997.
  72. Agarwal, A., Jacob, V., and Pirkul, H., “Measurement Criteria and Effects of Training Tolerance and Learning Rates for Two Group Classification Using Neural Networks : The Case of Bankruptcy Prediction,” First INFORMS Conference on Information Systems and Technology, Washington D.C., May 1996.
  73. Agarwal, A., “Using Abductive Reasoning Networks for Two-Group Classification: The Case of Bankruptcy Prediction,” Presented at the Second Joint Akron-Kent Accounting Research Seminar, Kent OH, April 12, 1996.
  74. Agarwal, A., “Using Abductive Reasoning Networks for Two-Group Classification: The Case of Bankruptcy Prediction,” Second Joint Akron-Kent Accounting Research Seminar Kent OH, April 12, 1996.
  75. Agarwal, A., “A Review of AI/ES in Accounting,” Ohio Region AAA Conference, Toledo, OH, May 5, 1995.
  76. Agarwal, A., Jacob, V., and Pirkul, H., “Neural Networks for Scheduling,” TIMS/ORSA Joint National Conference, Boston MA, April 24 - 27, 1994.
  77. Agarwal, A., Jacob, V., and Pirkul, H., “Neural Networks for Scheduling,” Seminar organized by the Dept. of Finance at Kent State University, Kent OH, Feb. 1994.
  78. Agarwal, A., Jacob, V., and Pirkul, H., “Neural Networks for Scheduling,” Presented at a Seminar organized by Kent State University, Kent OH, Feb. 1994.
Articles Under Review:
  1. Enhancing Organizational Identification of Agents for Mitigating Turnover in Call Center Industry
  2. Towards Optimal Granularity Level in Business Data Analytics
  3. Patient Experience Management in Hospitals
Articles Nearing Submission:
  1. Remote Work vs. Office Work: A Study of Productivity and Psychological Issues
  2. A Neurogenetic Approach for the Multi-Unit Flow Shop Problem.
  3. Performance comparison of Heuristics and Exact Method on a Supply Chain Scheduling Problem with Penalties
  4. A Neurogenetic Approach for the Flow Shop Problem.
  5. The Retail Shelf Space Problem: An Analytics Approach
  6. Are the commonly used objectives in Scheduling Economically Optimal?
Teaching:
Ph.D. Advising:
  1. Ph.D. Adviser, Jason Deane, UF, 2006, now tenured at Virginia Tech.
  2. Ph.D. Adviser, Selcuk Colak, UF, 2006, now tenured at Cukurova University, Adana, Turkey.
Courses Taught:
 
  Ph.D. Level:
  Master's Level:
  Undergrad Level:
Service:
 
   Selected Service to the University:
   Selected Service to the College:
   Selected Service to the Profession:
Personal:
 
   Music and Arts:
   Sports:
   Other:
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