Kamal Premaratne

Professor

Phone:
(305) 284-4051
Locator Code:
0640

 
Career

Education

1988Ph.D. Electrical and Computer Engineering University of Miami
1984M.S. Electrical Engineering University of Miami
1982B.Sc. Electronic and Telecommunication Engineering University of Moratuwa

Professional Experience

2015 - 2020Victor P Clarke Professor, University of Miami
2004 - 2014Professor, University of Miami
1995 - 2004Assistant Professor, University of Miami
1996 - 1997Visiting Lecturer, University of Peradeniya
1997 - 1997Visiting Associate Professor, University of Notre Dame
1995 - 1995, Kuwait University
1989 - 1995Assistant Professor, University of Miami
1988 - 1989Research Assistant Professor, University of Miami
1983 - 1988Research and Teaching Assistant, University of Miami
1983 - 1983Electronics Engineer, Airport and Aviation Services, Ltd.
1982 - 1983Teaching Instructor, University of Moratuwa
1981 - 1982In-Plant Trainee, Ceyton Institute of Scientific and Industrial Research

Honors & Acknowledgements

Victor P Clarke Professor, College of Engineering, University of Miami. (2015)
Johnson A Edosomwan Researcher of the Year Award, College of Engineering, University of Miami. (2014)
Best Student Paper Awards Honorable Mention. (2010)
Eliahu I Jury Excellence in Research Award, College of Engineering, University of Miami. (2001)
Heaviside Premium. (2000)

Conferences & Events

2022
International Symposium on Artificial Intelligence and Mathematics (ISAIM) | Fort Lauderdale, FL

Premaratne, K., Scheutz, M., Caulfield, A., Moss, L

Probabilistic 'If-Then' Rules: On Bayesian Conditionals and Probabilistic Implications

Paris | International Communication Association (ICA) Conference

Seelig, M. I., Funchion, J. R., Trego, R., Keubler, S., Verdear, D., Uscinski, J. E., Klofstad, C. A., Murthi, M., Wuchty, S., Premaratne, K.

The Dark Side of Twitter: A Framing Analysis of Conspiratorial Rhetoric Stoking Fear.

2020
Florida Artificial Intelligence Research Society (FLAIRS) Conference | Florida

Polpitiya, L., Premaratne, K.

Real-Time Detection and Prediction of Relative Motion of Moving Objects in Autonomous Driving

International Conference on Information Fusion (FUSION) | Sun City

Heendeni, J., Premaratne, K., Murthi, M.

Reasoning With Interval-Valued Probabilities

2019
Proceedings of the International Conference on Information Fusion (FUSION) | Ottawa

Dabarera, R., Wickramarathne, T., Premaratne, K., Murthi, M.

Achieving Consensus Under Bounded Confidence in Multi-Agent Distributed Decision-Making

2019
Florida Artificial Intelligence Research Society (FLAIRS) Conference | Sarasota, FL

Polpitiya, L., Premaratne, K., Murthi, M.

Linear Time and Space Algorithms for Computing All the Conditionals Generated from Consonant Belief Functions

2017
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). | Curacao

Samarakoon, B., Murthi, M., Premaratne, K.

Efficient Sensor Selection with Application to Time Varying Graphs

2017
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). | Curacao

Lin, M., Murthi, M., Premaratne, K.

Regularized LMS and Diffusion Adaptation LMS with Graph Filters for Non-Stationary Data

2017
International Symposium on Imprecise Probability: Theories and Applications (ISIPTA); also in Proceedings of Machine Learning Research (PMLR). | Lugano

Polpitiya, L., Premaratne, K., Murthi, M., Sarkar, D.

Efficient Computation of Belief Theoretic Conditionals

2017
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) | New Orleans, LA

Samarakoon, B., Murthi, M., Premaratne, K.

Inferring Latent States in a Network Influenced by Neighbor Activities: An Undirected Generative Approach

2016
International Conference on Information Fusion (FUSION). | Heidelberg, Germany

Polpitiya, L., Premaratne, K., Murthi, M., Sarkar, D.

A Framework for Efficient Computation of Belief Theoretic Operations (pp. 1570-1577).

2016
International Conference on Information Fusion (FUSION). | Heidelberg, Germany

Heendeni, J., Premaratne, K., Murthi, M., Uscinski, J., Scheutz, M.

A Generalization of Bayesian Inference in the Dempster-Shafer Belief Theoretic Framework (pp. 798-804).

2015
International Conference on Information Fusion (FUSION). | Washington, D.C.

Napoli, N., Barnes, L., Premaratne, K.

Correlation Coefficient Based Template Matching: Accounting for Uncertainty in Selecting the Winner (pp. 311-318).

2015
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). | Brisbane, Australia

Lin, M., Murthi, M., Premaratne, K.

Mobile Adaptive Networks for Pursuing Multiple Targets (pp. 3217-3221).

2014
Ibero-American Conference on Artificial Intelligence (IBERAMIA); also in Lecture Notes in Artificial Intelligence (LNAI) | Santiago

Williams, T., Nunez, R., Briggs, G., Scheutz, M., Premaratne, K., Murthi, M.

A Dempster-Shafer Theoretic Approach to Understanding Indirect Speech Acts (vol. 8864, pp. 141-153).

2014
International Conference on Belief Functions (BELIEF); also in Lecture Notes in Artificial Intelligence (LNAI) | Oxford

Heendeni, J., Premaratne, K., Murthi, M., Scheutz, M.

Modelling and Fusion of Imperfect Implication Rules (vol. 8764, pp. 313-320).

2014
International Conference on Information Fusion (FUSION). | Salamanca

Dabarera, R., Nunez, R., Premaratne, K., Murthi, M.

Dynamics of Belief Theoretic Agent Opinions Under Bounded Confidence (pp. 1-8).

2014
International Conference on Information Fusion (FUSION). | Salamanca

Nunez, R., Murthi, M., Premaratne, K.

Efficient Computation of DS-Based Uncertain Logic Operations and Its Application to Hard and Soft Data Fusion (pp. 1-8).

2013
International Conference on Information Fusion (FUSION). | Istanbul, Turkey

Nunez, R., Dabarera, R., Scheutz, M., Bueno, O., Premaratne, K., Murthi, M.

DS-based uncertain implication rules for inference and fusion applications (pp. 1934-1941). 

2013
International Conference on Information Fusion (FUSION). | Istanbul Turkey

Nunez, R., Samarakoon, B., Premaratne, K., Murthi, M.

Hard and soft data fusion for joint tracking and intent-detection (pp. 661-668).

2013
Industrial Conference on Data Mining. | New York, NY

Martinez, O., Dabarera, R., Premaratne, K., Kubat, M.

MeMO: Membership-based minority oversampling for class balancing (pp. 44-56)

2013
International Symposium on Imprecise Probability: Theories and Applications (ISIPTA). | Compiegne, France

Nunez, R., Scheutz, M., Premaratne, K., Murthi, M.

Modeling uncertainty in first-order logic: a Dempster-Shafer theoretic approach (pp. 1934-1941).

2013
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). | Vancouver, Canada

Wickramarathne, T., Premaratne, K., Murthi, M.

Convergence analysis of consensus belief functions within asynchronous ad-hoc fusion networks (pp. 3612-3616).

2012
Int. Conf. on Cross-Cultural Decision Making: HSCB FOCUS (also in Advances in Design for Cross-Cultural Activities, vol. 1, Eds: DD Schmorrow, DM Nicholson, CRC Press, 2013). | San Francisco, CA

Nunez, R., Wickramarathne, T., Premaratne, K., Murthi, M., Kuebler, S., Scheutz, M., Pravia, M.

Credibility assessment and inference for fusion of hard and soft information (pp. 96-105).

2012
Int Conf on Belief Functions (BELIEF) (also in Advances in Intelligent and Soft Computing (AISC), vol. 164, Eds: T Denoeux, M-H Masson, Springer-Verlag). | Compiegne, France

Wickramarathne, T., Premaratne, K., Murthi, M.

Consensus-based credibility estimation of soft evidence for robust data fusion (pp. 301-309).

2011
International Conference on Information Fusion (FUSION). | Chicago, IL

26. Wickramarathne, T., Premaratne, K., Murthi, M.

Monte-Carlo approximations for Dempster-Shafer belief theoretic algorithms (pp. 1-8).

2011
IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP). | Prague, Czech Republic

Wickramarathne, T., Premaratne, K., Murthi, M., Scheutz, M., Kuebler, S., Pravia, M.

Belief theoretic methods for soft and hard data fusion (pp. 2388-2391).

2010
MTS/IEEE OCEANS 2010. | Seattle, WA

Wickramarathne, T., Negahdaripour, S., Premaratne, K., Brisson, L., Beaujean, P.

A belief theoretic approach for characterization of underwater munitions (pp. 1-6). 

2010
International Conference on Information Fusion (FUSION). | Edinburgh, UK

Wickramarathne, T., Premaratne, K., Murthi, M.

Focal elements generated by the Dempster-Shafer theoretic conditionals: a complete characterization (pp. 1-8).

2010
Workshop on the Theory of Belief Functions (BELIEF). | Brest, France

30. Wickramarathne, T., Premaratne, K., Murthi, M., Scheutz, M.

A Dempster-Shafer theoretic evidence updating strategy for non-identical frames of discernment. 

2009
International Conference on Information Fusion (FUSION). | Seattle, WA

Premaratne, K., Murthi, M., Zhang, J., Scheutz, M., Bauer, P.

Dempster-Shafer theoretic conditional approach to evidence updating for fusion of hard and soft data (pp. 2122-2129)

2009
The Florida Artificial Intelligence Research Society (FLAIRS) Conference. | Sanibel Island, FL

Wickramaratna, K., Kubat, M., Premaratne, K., Wickramarathne, T.

Rule mining and missing value prediction in the presence of data ambiguities (pp. 361-366).

2008
IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP). | Las Vegas, NV

Ranasingha, M., Murthi, M., Premaratne, K., Fan, X.

Transmission rate allocation in multi-sensor target tracking (pp. 3021-3024). 

2007
Military Communications Conference (MILCOM). | Orlando, FL

Mohammadi-Dogahe, B., Fan, X., Murthi, M., Premaratne, K.

Balancing power and rate to achieve bounded average delay in wireless networks (pp. 1-7). 

Memberships

Institution of Engineering and Technology (IET) (formerly, Institution of Electrical Engineers (IEE)), Fellow. (2005)
Research

Research Interests

Evidence fusion; modeling and management of data uncertainty; machine learning and knowledge discovery from imperfect data; graph-theoretic methods, opinion and consensus dynamics in social networks.

 

Publications

 

Book Chapters

  1. Wickramarathne, T., Premaratne, K., Murthi, M. (2016). Dynamics of Consensus Formation Among Agent Opinions. In H. Fourati (Ed.), Multisensor Data Fusion: From Algorithms and Architectural Design to Applications -- Chapter: 21 (vol. 21, pp. 363-382). CRC Press.
  2. Subasingha, S., Zhang, J., Premaratne, K., Shyu, M.-L., Kubat, M., Hewawasam, K. (2008). Using association rules for classification from databases having class label ambiguities: A belief theoretic method. In TY Lin, Y Xie, A Wasilewska, C-J Liau (Ed.), Data Mining: Foundations and Practice, Studies in Computational Intelligence (SCI) -- Chapter: 118 (pp. 539-562). Springer-Verlag.
  3. Bauer, P., Premaratne, K. (2001). Deadbands in m-D Delta-Operator Based Discrete Systems With Floating Point Arithmetic. In K Galkowski (Ed.), Multidimensional Signals, Circuits, and Systems -- Chapter: 11 (pp. 209-217). Taylor & Francis.


Journal Articles

  1. Polpitiya, L. G., Premaratne, K., Murthi, M., Murrell, S. J., Sarkar, D. (2022). Efficient Computation of Conditionals in the Dempster-Shafer Belief Theoretic Framework. IEEE Transactions on Cybernetics.
  2. Enders, A., Uscinski, J. E., Klofstad, C. A., Wuchty, S., Seelig, M. I., Funchion, J. R., Murthi, M., Premaratne, K., Stoler, J. B. (2022). Who Supports QAnon? A Case Study in Political Extremism. The Journal of Politics, 84(3).
  3. Uscinski, J. E., Enders, A. M., Seelig, M. I., Klofstad, C. A., Funchion, J. R., Everett, C. D., Wuchty, S., Premaratne, K., Murthi, M. (2021). American Politics in Two Dimensions: Partisan and Ideological Identities Versus Anti-Establishment Orientations. American Journal of Political Science, 65(4), 877-895.
  4. Enders, A. M., Uscinski, J. E., Seelig, M. I., Klofstad, C. A., Funchion, J. R., Murthi, M., Premaratne, K., Stoler, J. B. (2021). The Relationship between Social Media Use and Beliefs in Conspiracy Theories and Misinformation. Political Behavior.
  5. Enders, A. M., Uscinski, J. E., Klofstad, C. A., Seelig, M. I., Wuchty, S., Murthi, M., Premaratne, K., Funchion, J. R. (2021). Do Conspiracy Beliefs Form a Belief System? Examining the Structure and Organization of Conspiracy Beliefs. Journal of Social and Political Psychology, 9(1), 255-271.
  6. Enders, A. M., Uscinski, J. E., Klofstad, C. A., Premaratne, K., Seelig, M. I., Murthi, M., Funchion, J. R. (2021). The 2020 Presidential Election and Beliefs About Fraud: Continuity or Change? Electoral Studies, 72, 102366.
  7. Nunez, R., Murthi, M., Premaratne, K., Scheutz, M., Bueno, O. (2018). Uncertain Logic Processing: Logic-Based Inference and Reasoning Using Dempster-Shafer Models. International Journal of Approximate Reasoning, 95, 1-21.
  8. Torres, Y., Premarate, K., Amelung, F., Wdowinski, S., Premaratne, K. (2017). An Efficient Polyphase Filter Based Resampling Method for Unifying the PRFs in SAR Data. IEEE Transactions on Geoscience and Remote Sensing, 55(10), 5741-5754.
  9. Martinez, O., Dabarera, R., Premaratne, K., Kubat, M., Englehardt, J. (2017). LFDA Model for the Assessment of Water Quality Through Microtox Using Excitation-Emission Matrices. Intelligent Data Analysis, 21(1), 181-203.
  10. Dabarera, R., Premaratne, K., Murthi, M., Sarkar, D. (2016). Consensus in the Presence of Multiple Opinion Leaders: Effect of Bounded Confidence. IEEE Transactions on Signal and Information Processing Over Networks, 2(3), 336-349.
  11. Martinez, O., Dabarera, R., Premaratne, K., Kubat, M. (2015). LDA-Based Probabilistic Graphical Model for Excitation-Emission Matrices. Intelligent Data Analysis, 19(5), 1109-1130.
  12. Wickramarathne, T., Premaratne, K., Murthi, M., Chawla, N. (2014). Convergence Analysis of Iterated Belief Revision in Complex Fusion Environments. IEEE Journal of Selected Topics in Signal Processing, Special Issue on Signal Processing for Social Networks, 8(4), 598-612.
  13. Wickramarathne, T., Premaratne, K., Murthi, M. (2013). Toward efficient computation of the Dempster-Shafer belief theoretic conditionals. IEEE Transactions on Cybernetics, 43(2), 712-724.
  14. Wickramarathne, T., Premaratne, K., Kubat, M., Jayaweera, D. (2011). CoFiDS: A belief theoretic approach for automated collaborative filtering. IEEE Transactions on Knowledge and Data Engineering, 23(2), 175-189.
  15. Mohammadi-Dogahe, B., Murthi, M., Fan, X., Premaratne, K. (2010). Distributed congestion and power control algorithm to achieve bounded average queuing delay in wireless networks. Telecommunication Systems, 44, 307-320.
  16. Premaratne, K. (2010). Eliahu I Jury, Historical Perspectives. IEEE Control Systems Magazine, invited article, 30, 72-77.
  17. Wickramaratna, K., Kubat, M., Premaratne, K. (2009). Predicting missing items in shopping carts. IEEE Transactions on Knowledge and Data Engineering, 21, 985-998.
  18. Chen, M., Zhang, J., Murthi, M., Premaratne, K. (2009). Delay-based TCP congestion avoidance: a network calculus interpretation and performance improvements. Computer Networks, 53, 1319-1340.
  19. Chen, M., Fan, X., Murthi, M., Wickramarathna, T., Premaratne, K. (2009). Normalized queuing delay: congestion control jointly utilizing delay and marking. IEEE/ACM Transactions on Networking, 17, 618-631.
  20. Ranasingha, M., Murthi, M., Premaratne, K., Fan, X. (2009). Transmission rate allocation in multi-sensor target tracking over a shared network. IEEE Transactions on Systems, Man and Cybernetics, Part B Cybernetics, 39, 348-362.
  21. Dewasurendra, D., Bauer, P., Premaratne, K. (2007). Evidence filtering. IEEE Transactions on Signal Processing, 55, 5796-5805.
  22. Hewawasam, K., Premaratne, K., Shyu, M.-L. (2007). Rule mining and classification in a situation assessment application: a belief theoretic approach for handling data imperfections. IEEE Transactions on Systems, Man and Cybernetics, Part B Cybernetics, 37, 1446-1459.
  23. Premaratne, K., Dewasurendra, D., Bauer, P. (2007). Evidence combination in an environment with heterogeneous sources. IEEE Transactions on Systems, Man and Cybernetics, Part A Systems and Humans, 37, 298-309.
  24. Kulasekere, E., Premaratne, K., Dewasurendra, D., Shyu, M.-L., Bauer, P. (2004). Conditioning and updating evidence. International Journal of Approximate Reasoning, 36, 75-108.
  25. Premaratne, K., Zhang, J., Dogruel, M. (2004). Location information-aided task-oriented self-organization of ad-hoc sensor systems. IEEE Sensors Journal, 4, 85-95.
  26. Hanagan, L., Murray, T., Premaratne, K. (2003). Controlling floor vibrations with active and passive devices. Shock and Vibration Digest, 35, 347-365.
  27. Bauer, P., Lorand, C., Sichitiu, M., Premaratne, K. (2003). Total delay compensation in LAN control systems and implications for scheduling. International Journal of Systems Science, 34, 599-605.
  28. Sichitiu, M., Bauer, P., Premaratne, K. (2003). The effect of uncertain time variant delays in ATM networks with explicit rate feedback: A control theoretic approach. IEEE/ACM Transactions on Networking, 11, 628-637.
  29. Sichitiu, M., Bauer, P., Premaratne, K. (2002). Queue control under time-variant delays: A discrete-time system approach. Journal of Circuits, Systems and Computers, 11, 187-211.
  30. Hanagan, L., Kulasekere, E., Walgama, K., Premaratne, K. (2000). Optimal placement of actuators and sensors for floor vibration control. ASCE Journal of Structural Engineering, 126, 1380-1387.
  31. Premaratne, K., Touset, S., Jury, E. (2000). Root distribution of delta-operator formulated polynomials. IEE Proceedings: Part D, Control Theory and Applications, 147, 1-12.
  32. Premaratne, K., Touset, S., Jury, E. (2000). Root distribution of delta-operator formulated polynomials. IEE Proceedings: Part D, Control Theory and Applications, 147, 1-12.

 

Abstracts

  1. Premaratne, K., Murthi, M., Kuebler, S. (2016). Abstract: Fusing Hard and Soft Information (vol. Bloomington, IN). Innovation Crossover: The Shape of Things to Come, NSWC Crane.
  2. Torres, Y., Zhang, Y., Amelung, F., Wdowinski, S., Premaratne, K. (2015). Abstract: Using Satellite Radar Interferometry for Monitoring Underground Construction: Subway Metro Construction, Budapest, Hungary (vol. Frascati, Italy). Fringe 2015 Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop.
  3. Williams, T., Nunez, R., Briggs, G., Scheutz, M., Premaratne, K., Murthi, M. (2014). Poster: A Dempster-Shafer Theoretic Approach to Understanding Indirect Speech Acts. Providence, RI: Northeast Robotics Colloquium (NERC), Brown University.
  4. Wickramarathne, T., Premaratne, K., Negahdaripour, S., Brisson, L., Beaujean, P.-P. (2011). Invited Presentation: Exploiting multiple sensor modalities for classification of underwater munitions: a Dempster-Shafer theoretic approach (vol. San Diego, CA, pp. 2452). Special Session on Fusion of Acoustic Signals with Data from Various Sensor Modalities, Meeting of the Acoustical Society of America (ASA).
  5. Wickramarathne, T., Premaratne, K., Murthi, M. (2010). Poster: Collaborative filtering with imperfect data: a Dempster-Shafer theoretic approach (vol. Stanford, CA). Workshop on Algorithms for Modern Massive Data Sets (MMDS).
  6. Negahdaripour, S., Premaratne, K., Wickramarathne, T., Beaujean, P., Brisson, L. (2009). Abstract/Poster #116: Belief theoretic multisensory data fusion for underwater UXO identification (vol. Washington, DC). Partners in Environmental Technology Symposium and Workshop.
  7. He, X., Kubat, M., Premaratne, K., Powell, T., Barach, P. (2005). Abstract #A1259: Probabilistic decision trees and data-mining methods of intra-operative medical records for predicting adverse events. Annual Meeting of the American Society of Anesthesiologists (ASA'05).
  8. He, X., Kubat, M., Premaratne, K., Barach, P. (2005). Abstract #S-150: Using probabilistic decision trees and data-mining methods of intraoperative medical records to detect and predict adverse events. International Anesthesia Research Society (IARS) Clinical and Scientific Congress.