• Ph.D. (1993), The Ohio State University, Columbus, OH, USA. (Major: MIS; Minors: Statistics and Economics)
• M.B.A. (1988), University of Wisconsin, La Crosse, WI, USA.
• B.E. (1984), IIT-Roorkee, India. (Major: Mech. Engg.)
• High School (1980), Delhi Public School, Mathura Road, New Delhi, India.
• Middle School (1976), Christ Church School and Colvin Taluqdars' School, Lucknow, India

• 2021 - present : Director, MS-ISA Program  (Master of Science in Information Systems and Analytics) at FGCU
• 2021 - present : Director, Institute for Technological Innovation, Lutgert College of Business, FGCU
• 2019 - present : Professor, Dept. of ISOM, College of Business, Florida Gulf Coast University, Fort Myers, Florida, USA
• 2013 - 2019     : Professor, Dept. of ISDS, College of Business, Univ of South Florida, Sarasota-Manatee (USFSM), Florida, USA
• 2009 - 2013     : Associate Professor, Dept. of ISDS, College of Business, USFSM, Florida, USA
• 1998 - 2009     : Assistant Professor, Dept. of ISOM, Warrington College of Business, University of Florida, Florida, USA
• 1993 - 1998     : Assistant Professor, Dept. of Acctg, College of Business, Kent State University, Kent, Ohio, USA
• 1987 - 1992     : Graduate Teaching Assistant, Accounting & MIS, The Ohio State University, Columbus, OH, USA
• 2008 - 2021     : Summer Visiting Faculty, Korea University, Seoul, South Korea
• 2011 - 2018     : Visiting Faculty, KUBS, GMBA program, Korea University, Seoul, South Korea
• 1984 - 1986     : Programmer Analyst, Tata Motors Co., Pune, India

• College Teacher of the Year Award, College of Business, University of Florida, 2007, Cash award (2K USD) and Plaque
• Professor of the Year, Dept. of ISOM, College of Business, University of Florida, 2007
• Professor of the Year, Dept. of DIS, College of Business, University of Florida, 1999
• Professor of the Year, Dept. of Acctg, Kent State University, 1998
• Excellence in Teaching Award at University of South Florida, 2012 (Named Brick on Campus)
• Excellence in Service Award at University of South Florida, 2015 (Named Brick on Campus)
• Recognition for Leadership at University of South Florida, 2019 (Named Brick on Campus)
• Recognition of Service Award at University of South Florida, 2012
• Research Acknowledgement Award, University of South Florida, 2015
• Nominated for Excellence in Research Award (Tenured Faculty), University of South Florida, 2018
• Nominated for University-Wide Teacher of the Year Award, University of Florida, 2007
• Nominated for University-Wide TA of the Year Award, The Ohio State University, 1993

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

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

• Rate My Professors link for Florida Gulf Coast University
• Rate My Professors link for USF-Sarasota
• Rate My Professors link for USF-St. Pete(Some students from USF St. Pete campus took my courses and rated me as a faculty at St. Pete)
• Rate My Professors link for UF

• International Summer Program, Korea University, Seoul, South Korea (2008-2021) (Statistics)
• KUBS, GMBA program, Korea University, Seoul, South Korea, (2011-2018) (Big Data Analytics and Statistics)
• National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan (2006 - 2007) (Programming, Distributed Processing Systems)

1. Ngo, F.T., Agarwal, A., and Holman, K., "Cyber Hygiene and Cyber Victimization Among Limited English Proficiency (LEP) Internet Users: A Mixed-Method Study," Victims and Offenders, 2024 DOI: 10.1080/15564886.2024.2329765 
2. Zheng, W., Park, K.T., and Agarwal, A., "The Antecedents of Consumer's Perceived Value and Repurchase Intention in the O2O Food Delivery Service Value Chain," Journal of Service Research and Studies, 13(2), 1-23, 2023.
3. Oliveria, Fl, Balbino, M., Zarate, L., Ngo, F., Govindu, R., Nobre, C., and Agarwal, A., "Predicting Inmates Misconduct Using the SHAP Approach," Artificial Intelligence and Law, 2023, https://doi.org/10.1007/s10506-023-09352-z.
4. 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)
5. 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)
6. 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.
7. 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)
8. 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)
9. 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)
10. 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)
11. 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)
12. 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.
13. 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)
14. 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.
15. 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)
16. 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)
17. 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
18. 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)
19. 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)
20. 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)
21. 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)
22. 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)
23. 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)
24. 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)
25. 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)
26. 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.
27. Agarwal, A., “Theoretical Insights into in Augmented Neural Networks for Combinatorial Optimization,”Annals of Operations Research, 2009, 168(1), 101-117. (pdf)
28. 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).
29. 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).
30. 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)
31. 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)
32. Agarwal, A., “A Neurogenetic Approach for Multiprocessor Scheduling,” Multiprocessor Scheduling, Ed. Eugene Levner, I-TECH Education and Publishing, 2007, 121-136. (pdf)
33. 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)
34. 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)
35. 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)
36. 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)
37. 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)
38. Agarwal, A., Jacob. V. and Pirkul, H., "Augmented Neural Networks for Task Scheduling," European Journal of Operational Research, 2003, 151 (3), 481-502. (pdf)
39. 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.
40. Barniv, R. and Agarwal, A., "Predicting Bankruptcy Resolution," Journal of Business Finance and Accounting,  2002,29(3), 497-520. (pdf)
41. 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)
42. 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.
43. Agarwal, A., “Abductive Networks for Two-Group Classification: A Comparison with Neural Networks,” Journal of Applied Business Research, 1999, 15(2), 1-12. (pdf)
44. 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.

1. Kim, H., Murthy, N, Park, K.T., and Agarwal, A., "Enhancing Organizational Identification for Emotional Labor: Implications for Managing Call Centers," POMS Annual Conference, Orlando, FL, May 23rd, 2023.
2. Aagarwal, A., Govindu, R, "Revisiting Objective Functions for Scheduling Models," POMS Annual Conference, April 30 - May 5, 2021, Online.
3. 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
4. Govindu, R., Agarwal, A., "An MILP  Formulation for the Flowshop Lot Streaming Problem," POMS Annual Conference, Washington D.C., May 3-6, 2019
5. 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
6. 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
7. 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
8. 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
9. Govindu, R., Agarwal, A., "Heuristics for Lot Streaming in Flow Shop Scheduling," INFORMS Annual Conference, Nashville, TN, Nov. 13-16, 2016.
10. Govindu, R, Agarwal, A. and Curran, J.,  “The Retail Shelf Space Problem: An Analytics Approach,” POMS Annual Conference, May 8, 2016, Orlando, FL.
11. Agarwal, A.and Govindu, R., “New Heuristics for Lot Streaming in Flowshop Scheduling,” POMS Annual Conference, May 9, 2016, Orlando, FL.
12. Agarwal, A., "Predictive Analytics in Big Data" Invited presentation at the  PMI Tampa Bay Chapter, Sarasota, March 15, 2016.
13. Agarwal, A., "Big Data Analytics - Not just for Big Businesses" Invited presentation at the PMI Tampa Bay Chapter
14. Agarwal, A., "Predictive Analytics and Text Analytics in Big Data", Invited presentation at the Suncoast Technology Forum, Sarasota, February 16, 2016.
15. 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.
16. Agarwal, A.and Govindu, R., “Issues in Batch Flowship and Lot Streaming Problems,”  INFORMS Annual Conference, Nov. 1, 2015, Philadelphia, PA, USA.
17. Agarwal, A., "Big Data Analytics" Invited presented at Korea Advanced Institute of Science and Technology(KAIST), Seoul, July 24th, 2015.
18. Agarwal, A., "Big Data Analytics" Invited presentation at the Suncoast Technology Forum, Sarasota, February 17, 2015.
19. Agarwal, A., and Govindu, R., "Metaheuristics for a Supply Chain Scheduling Problem with Delivery Splitting," POMS Annual Conference, May 2015, Washington DC.
20. Agarwal, A. and Govindu, R., "Efficient Heuristics for the Multi-Unit Flow Shop Problem," POMS Annual Conference, May 2015, Washington DC.
21. Agarwal, A., and Govindu, R., "A Neurogenetic Approach for the Flow Shop Scheduling Problem," at POMS Annual Conference, May 2015, Washington DC.
22. Govindu, R, Agarwal, A. and Curran, J., "An Analytics Framework for the Retail Shelf Space Problem," POMS Annual Conference, May 2015, Washington DC.
23. Govindu, R., and Agarwal, A., "Metaheuristic Based Solution for a Supply Chain Scheduling Problem Involving Multiple Customers," Annual DSI Conference, Nov. 2014, Tampa, FL
24. Agarwal, A.,  and Govindu, R. and Curran, J.,, "Data Driven Optimization for Retail Shelf Space," INFORMS Annual Meeting, San Francisco, Nov 8-12, 2014.
25. Govindu, R., and Agarwal, A., "Minimizing Penalties in Supply Chain Scheduling Involving Multiple Customers,"  INFORMS Annual Meeting, San Francisco, Nov 8-12, 2014.
26. Agarwal, A., Jayaraman, V. and Ross, A. "Penalty Minimization in Supply Chain Scheduling for Multiple Customers," 25^th Annual POMS Conference, Atlanta, GA, May 9-12, 2014.
27. Boundary Conditions for Economics Driven Objective Functions in Project Scheduling," 25^th Annual POMS Conference, Atlanta, GA, May 9-12, 2014.
28. Agarwal, A., Govindu, R, Jayaraman, V. and Ross, A. "Issues in Lean Supply Chain Scheduling under Volatile Demand from Multiple Customers," 24^th Annual POMS Conference, Denver, CO, May 3-6,2013.
29. Agarwal, A., and Deane, J., "Optimization Models for Scheduling Banner Ads for Multiple Web Sites," 24^th Annual POMS Conference, Denver, CO, May 3-6, 2013.
30. Agarwal, A."Boundary Conditions for using Alternative Objectives in Project Scheduling," 24^th Annual POMS Conference, Denver, CO, May 3-6, 2013.
31. Agarwal, A. and Curran, J, “Models for the Retail Shelf Space Optimization Problem: New Solution Approaches,” 24^th Annual POMS Conference, Denver, CO, May 3-6, 2013.
32. Agarwal, A. and Deane, J, “Banner Ad. Scheduling Model for Multiple Web Sites under Variable Display Frequency,” 23^rd Annual POMS Conference, Chicago, IL, April 20-23, 2012.
33. Agarwal, A. “Are the commonly used objectives in Scheduling Economically Optimal?” 23^rd Annual POMS Conference, Chicago, IL, April 20-23, 2012.
34. Agarwal, A. and Curran, J, “The Retail Shelf Space Optimization Problem: Math Models, Heuristics and Metaheuristics,” 23^rdAnnual POMS Conference, Chicago, IL, April 20-23, 2012.
35. Agarwal, A., Jayaraman, V. and Ross, A., “Resource Estimates and Partial Delivery For Penalty Minimization in Supply Chain Management,” 23^rd Annual POMS Conference, Chicago, IL, April 20-23, 2012.
36. Agarwal, A., Jayaraman, V., and Srivastava, R., “Risk Minimization in Emergency Response Systems with Multiple Equipment Types,”23^rd Annual POMS Conference, Chicago, IL, April 20-23, 2012.
37. 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.
38. 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 19^th, 2012. (Invited Presentation)
39. Ngo,Fawn T. and Agarwal, A., “Using Neural Networks to Predict Inmate Misconducts,”  Annual American Society of Criminology Meeting, 2011, Washington, D.C.
40. Agarwal, A., Jayaraman, V. and Ross, A., "Minimizing Penalties with Partial Deliveries in Integrated Supply Chains in Lean Manufacturing," 22^nd Annual Production and Operations Management Conference, Reno, NV, 2011.
41. Agarwal, A., “Towards Economically Optimal Objectives for Resource-constrained Project Scheduling,” 22^nd Annual Production and Operations Management Conference, Reno, NV, 2011.
42. 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.
43. 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.
44. 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.
45. 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 
46. Agarwal, A., “Neurogenetic Approaches for Combinatorial Optimization,” University of Akron, Akron, OH, 2008. (Invited Presentation).
47. Agarwal, A., “Neurogenetic Approaches for Combinatorial Optimization,” University of Northern Illinois, DeKalb, IL, 2008. (Invited Presentation)
48. Agarwal, A., "Neurogenetic Approaches for Common Business Optimization Problems," Korea Advanced Institute of Science and Technology, July 2008. (Invited Presentation).
49. 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.
50. Agarwal, A., Colak, S., and Deane, J., "A NeuroGenetic Approach for Optimization Problems," INFORMS Annual Conference, Seattle, 2007.
51. 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.
52. Colak, S., Erenguc, S.S. and Agarwal, A., "A Neurogenetic Approach for Resource Constrained Project Scheduling," INFORMS Annual Conference, Pittsburgh, 2006.
53. Agarwal, A., Jayaraman, V., and Srivastava, R., "Genetic Algorithms for Multiple Equipment Multiple Cover Facility Location Allocation Problem,"  INFORMS Annual Conference, Pittsburgh, 2006.
54. Deane, J., and Agarwal, A., "Scheduling On-Line Advertisements Using Neural Network / Genetic Algorithm Based Metaheuristics," INFORMS Annual Conference, Pittsburgh, 2006.
55. 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.
56. Agarwal, A., Colak, S. and Erenguc,S.S., “Non-Greedy Heuristics and Adaptive Metaheuristics for the Multi-Mode RCPSP with Renewable Resources,” 10^th International Workshop in Project Management and Scheduling, Poznan, Poland 2006.
57. Agarwal, A., “Metaheuristics for Online Scheduling,” National Kaohsiung First University of Science and Technology, Taiwan, July 14th, 2006. (Invited Presentation).
58. Agarwal, A., “Heuristics and Metaheuristics for Various Business Problems,” The Institute of Management Technology, India, July 3rd, 2006.(Invited Presentation)
59. 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.
60. Deane, J. and Agarwal,A., “Banner Advertising Scheduling,”  INFORMS National Conference, San Francisco, CA, November 2005.
61. Deane, J, and Agarwal, A., “Augmented Neural Networks for the Knapsack Problem,” INFORMS National Conference, Denver, CO, October 2004.
62. Agarwal, A., Colak, S. and Erenguc, S.S., “Resource-Constrained Project Scheduling: The Augmented Neural Network Approach,” 9^th International Workshop in Project Management and Scheduling, 2004, Nancy, France.
63. Colak, S. and Agarwal, A., “Augmented Neural Network for the Open Shop Scheduling Problem,” 9^th International Workshop in Project Management and Scheduling, 2004, Nancy, France.
64. Agarwal, A., Colak, S., “Augmented Neural Network for the Open Shop Scheduling Problem,” INFORMS National Conference, Atlanta, October 2003.
65. Agarwal, A., Colak, S., Eryarsoy, E., “Improvement Heuristics for the Flow-shop problem : An Adaptive Learning Approach,” INFORMS National Conference, Atlanta, October 2003.
66. Agarwal, A. and Kasap, N., “Augmented Neural Networks and Problem Structure Based Heuristics for the Bin Packing Problem,”  INFORMS National Conference, Atlanta, October 2003.
67. Agarwal, A., Jacob, V. and Pirkul, H., “Augmented Neural Networks for Scheduling,”  INFORMS National Conference, Miami,November 2001.
68. Agarwal, A. and Bose, I., “Data Mining the International Stock Markets,” Twelfth Annual Decision and Information Sciences Workshop, Istanbul, Turkey, July 2000.
69. 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.
70. Agarwal, A., Jacob, V. and Pirkul, H., “Augmented Neural Networks for Job-Shop Scheduling,”  National INFORMS Conference, Dallas, October 29, 1997.
71. 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.
72. 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.
73. 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.
74. 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.
75. 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.
76. 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.
77. Agarwal, A., “A Review of AI/ES in Accounting,” Ohio Region AAA Conference, Toledo, OH, May 5, 1995.
78. Agarwal, A., Jacob, V., and Pirkul, H., “Neural Networks for Scheduling,” TIMS/ORSA Joint National Conference, Boston MA, April 24 - 27, 1994.
79. 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.
80. Agarwal, A., Jacob, V., and Pirkul, H., “Neural Networks for Scheduling,” Presented at a Seminar organized by Kent State University, Kent OH, Feb. 1994.

1. Enhancing Organizational Identification in Emotional Labor Environments: Implications for Call Center Industry
2. Towards Optimal Granularity Level in Business Data Analytics
3. Patient Experience Management in Hospitals

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?

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.

•    Seminar on Technical IS Research ('10,'11) (USF-Tampa)
•    Seminar on Computational Methods in Business ('09,'11) (USF-Tampa)
•    Seminar on Web Mining Research ('04) (UF)
•    Seminar on Metaheuristics Research ('06, '07) (UF)

  Florida Gulf Coast University

•    Business Intelligence and Visualization ('19, '20, '21, '22, '23)
•    Big Data Analytics and Data Mining ('20)
•    Project Management ('19, '20, '21, '22, '23)
•    Web, Mobile and Social Technologies ('19)

  University of South Florida

•    Big Data Analytics and Management ('14, '15, '16, '17) 
•    Informatics and Business Intelligence ('17) (USF-SM)
•    Business Statistics ('09 - '16) (USF-SM)
•    MIS in Organizations ('10 - '16) (USF-SM)

  University of Florida

•    Systems Analysis and Design (With and without UML) ('99 - '09)
•    Database Management ('99 - '09)
•    MIS in Organizations ('00, '01, '08)
•    Visual Basic .Net ('00 - '09)
•    C# .Net ('04 - '09)
•    Decision Support System ('04 - '09)
•    Web Programming ('00)

  Kent State University

•    Advanced Accounting Information Systems ('93 - '98)

  Korea University

•    Uncertainty, Data, Decisions ('11, '12) (Global MBA program)
•    Big Data Analytics ('15, '16, '17, '18') (Global MBA program)

  Florida Gulf Coast University

•    Tools for Data Analytics ('20, '21, '22, '23)
•    Management Information Systems ('19, '20, '21, '22, '23)

  University of South Florida

•    Business Decision Modeling ('19)
•    Business Analytics ('15, '17, '18)
•    Business Informatics ('18)
•    Operations and Supply Chain Processes ('11 - '13')
•    Database Management Systems ('12 - '19))
•    Business Decision Modeling ('15 - 19)
•    IS Applications Development (VB .Net) ('13 - 18)
•    Electronic Commerce ('10, '12, '14)
•    MIS in Organizations ('09, '18)
•    Systems Analysis and Design ('09, '10)
•    Business Statistics ('09, '12)

  University of Florida

•    Systems Analysis and Design ('99, '09)
•    Database Management Systems ('98 - '09)
•    Visual Basic ('99 - '09) (UF)
•    C# .Net ('02 - '04) (UF)

  Kent State University

•    Accounting Information Systems ('93 - '98)
•    Principles of Financial Accounting ('97)

  Korea University

•    Statistics ('08 through '23)
•    Econometrics ('10)
•    Big Data Analytics ('14)

  Ohio State University

•    Principles of Financial Accounting ('90 - '93')
•    Principles of Managerial Accounting ('90 - '93')
•    Intermediate Financial Accounting ('92 - '93')

  NKFUST, Taiwan

•    Distributed Database Systems ('06)
•    Visual Basic ('06)

  University of South Florida

•    Member, Search Committee, Regional Vice Chancellor for Academic Affairs, 2018
•    Vice President, Faculty Senate, 2017-18
•    Chair, T&P Committee for Full Professors, 2017-18
•    Members, Awards and Rewards Committee, 2013-17
•    Member, Research Subcommittee of the USFSM Strategic Planning Committee, 2017-18
•    Member, Search Committee, Regional Vice Chancellor for Academic Affairs, 2013-14
•    Chair, Task Force for College Restructuring, 2014-15
•    Chair, Scholarship and Service Strategic Planning Subcommittee, 2014-2015
•    Member, USFSM Strategic Planning Committee, 2014-15
•    Chair, Tenure and Promotion Committee, 2013-14, 2015
•    Member, T&P Commiteee, 2009 - 2016

  University of Florida

•    ERP Vision Committee, 2001-02

  Lutgert College of Business, Florida Gulf Coast University

•    Member, Graduate Curriculum Committee 2021 - present
•    Member, College of Business Strategic Planning Task Force, 2021 - present
•    Director, MS-ISA Program, 2021 - present
•    Director, Institute of Technological Innovation, 2021 - present
•    Chair, Faculty Search Committee (CIS), 2021
•    Chair, Faculty Search Committee (SCM), 2022
•    Member, Promotion Review Committee, 2020 - present
•    Member, Faculty Search Committee (Analytics), 2020
•    Member, Search Committee (SCM), 2020

  College of Business, University of South Florida

•    Chair, T&P Committee for Full Professors, 2017-18
•    Chair, T&P Committee, 2017-18
•    Member, Assurance of Learning Committee, 2016-17
•    Chair, Search Committee, ISDS position, 2015-16
•    Member, Search Committee, Two IT positions, 2015-16
•    Member, College of Business Strategic Planning Committee, 2015-16, 16-17, 17-18
•    Faculty Senate representative, College of Business, 2015-17
•    Chair, Graduate Committee, 2009-2013
•    Chair, Search Committee, two ISDS positions, 2011-12
•    Member, Search Committee, Management position, 2013-14
•    Chair, Strategic Planning Committee, 2014-15
•    Member, College T&P Committee, 2009-2015
•    Chair, College T&P Committee,2009-2012

• Guest Editor, Special Issue for the journal Sustainability, 2021
• Associate Editor, several papers for various journal, 2000 - 2021
• Session Chair, several sessions at several conferences, 2000 - present
• Program Chair, First International Conference on Information Systems Technology and Management, New Delhi, India, 2007
• Program Chair, Second International Conference on Information Systems Technology and Management, Dubai, UAE, 2007
• Program Committee Member, INFORMS Annual Conference, 2001
• Editorial board member, Information Technology and Management. 2002 - present.
• Editorial board member, Enterprise Information Systems. 2006 - present.
• Editor, special issue of Information Technology and Management journal, 2009 Vol 10(1)
• Editor, special issue of Information Technology and Management journal, 2009, Vol 10(4)
• Editor, special issue of Information Technology and Management journal, 2009
• Associate Editor for many papers at Information Technology and Management journal
• Ad hoc reviewer for many many papers for many many journals.

• The Indian Bamboo Flute (amateur, currently taking lessons from Mr. Baljinder Singh from Indore, India)
• The Harmonica (amateur, usually play at informal gatherings)
• The Tabla, an Indian percussion instrument (amateur, usually accompany others at informal gatherings of family and friends)
• The Djembe, an African percussion instrument (Recently picked up; Played in three different bands during 2016, 2017)
• Painting (Represented my College (IIT-Roorkee) in Inter-College Cultural Festivals in 1983, 1984)
• Drama (Represented my College (IIT-Roorkee) in Inter-College Cultural Festivals in 1983, 1984)

• Racquetball (Played for about 15 years, looking for a partner these days :) )
• Squash (Played for about 9 years, prior to picking up Racquetball)
• Tennis
• Aikido, a Japanese Martial Art, (5^th kyu level) (2013-2016)
• Running/Walking:
•      Full Marathon (First one in Jan 2021, second in May 2021, third in October 2021)
•      Half Marathon (About 8, 2013 to 2023)
•      10K race (few, 2018 - 2021)
•      5K race (few, 2017 - 2021)

• Yoga/Meditation
• Reading (Favorite authors: Osho, Sadhguru Jaggi Vasudev)
• Hiking in the Himalayas (1983, 1984 - Dodital, Uttarkashi; Kuari Pass, Joshi Math; Gangotri - Goumukh)