一本道无码

一本道无码
Information Systems  ›  Faculty & Staff  ›  Divakaran Liginlal

Divakaran Liginlal

Teaching Professor, Information Systems

Address
P.O. Box 24866
Doha Qatar

Bio

Divakaran Liginlal (Lal) is a Teaching Professor of Information Systems at 一本道无码. Lal holds a B.S. in Telecommunication Engineering from CET, an M.S. in Computer Science from the Indian Institute of Science, and a Ph.D. in Management Information Systems from the University of Arizona. Before joining 一本道无码, Lal taught at three U.S. universities, including nine years at the University of Wisconsin-Madison, where he was a recipient of the Mabel Chipman Award for Faculty Excellence in Teaching and the Lawrence J. Larson Grant Award for Innovation in Curriculum Design. In 2013, he received the best teacher award at 一本道无码's Qatar campus. As a graduate student, he received the University of Arizona Foundation Award for Meritorious Teaching. Lal's research in information security, human-
computer interaction, and decision support systems has been published in such journals as the Journal of MIS (JMIS), Communications of the ACM, IEEE-TKDE, IEEE-SMC, the European Journal of Operational Research, Computers & Security, Decision Support Systems, Fuzzy Sets & Systems, IEEE Technology & Society, IJIM, and IRMJ. His teaching and research have been supported by organizations such as Microsoft Corporation, Hewlett Packard, Cisco Systems, Cargill, the Qatar Foundation, and the ICAIR at the University of Florida. Prior to joining academics, Lal worked as a scientist developing test computers for the Indian Space Research Organization and as a software developer in Saudi Arabia.

Publications

  1. L. Khansa, X. Ma, S. Kim, D. Liginlal, “Understanding Members' Participation in Online Question-and-Answer Communities: A Theory and Empirical Analysis,” Journal of Management Information Systems, 32 (2), 162-203, 2015.
  2. D. Liginlal, I. Sim, L. Khansa, and P. Fearn, “Human error and HIPAA Privacy Rule compliance: An interpretive study using Norman’s action theory,” Computers and Security, 31 (2), 206-220, 2012.
  3. L. Khansa and D. Liginlal, “Whither information security? Examining the complementarities and substitutive effects among IT and information security firms,” International Journal of Information Management, 32 (3), June 2012, 271-281.
  4. L. Khansa and D. Liginlal, “Regulatory influence and the imperative of innovation in identity and access management,” Information Resources Management Journal, 25 (3), July – Sep 2012, 78-97.
  5. I. Sim, D. Liginlal and L. Khansa, “Information privacy situation awareness: Construct and validation, Journal of Computer Information Systems, 53 (1), 2012.
  6. L. Khansa and D. Liginlal, “Predicting stock prices from malicious attacks: A comparative analysis of vector autoregression and time-delayed neural networks,” Decision Support Systems, 51(4), pp.745-759, November, 2011.
  7. T. James, L. Khansa, D. Cook and D. Liginlal, “Technology and U.S. politics,” IEEE Technology and Society, 30(1), pp. 20-27, 2011.
  8. D. Liginlal, L. Khansa and S. Chia, “News in hand: A case study in investment options for mobile content services,” International Journal of Business Data Communications and Networking, 6 (1), pp.17-37, 2010.
  9. L. Khansa, and D. Liginlal, “Quantifying the benefits of investing in information security,” Communications of the ACM, 52(11), November 2009.
  10. D. Liginlal, I. Sim, and L. Khansa, “How significant is human error as a cause of privacy breaches? An empirical study and a framework for error management, Computers and Security, 28(3-4): pp. 215-228, May-June, 2009.
  11. L. Khansa and D. Liginlal, “Valuing the flexibility of investing in security process innovations,” European Journal of Operational Research, 192 (1), pp. 216-235, January 2009.
  12. Y. Chen and D. Liginlal, “A maximum entropy approach to feature selection in knowledge-based authentication,” Decision Support Systems, Vol. 46, Issue 1, December 2008, pp. 388-398.
  13. Y. Chen and D. Liginlal, “Bayesian networks for knowledge-based authentication,” IEEE Transactions on Knowledge and Data Engineering, Vol. 19, No. 5, pp. 695-710, May 2007.
  14. D. Liginlal, S. Ram, and L. Duckstein, “A fuzzy measure-theoretical framework for screening product innovations,” IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, Vol. 36, No. 3, May 2006.
  15. D. Liginlal and T. Ow, “Modeling attitude to risk in human decision processes: An application of fuzzy measures,” Fuzzy Sets and Systems, 157(23), December 2006.
  16. D. Liginlal and T. Ow, “On policy capturing with fuzzy measures,” European Journal of Operational Research, 167(2), pp. 461-474, December 2005.