Ivan Mura | Scholars@Duke

Ivan Mura
Associate Professor of Electric and Computer Engineering at Duke Kunshan University

Ivan Mura's interests focus on predictive modeling and system optimization. He has got a Computer Science degree in 1994, and a Ph.D. in Computer Science Engineering in 1999, both from the University of Pisa. Moreover, he completed a Master's degree in Information Technology Project Management from George Washington University and obtained a Black Belt six-sigma certification from Arizona State University in 2017 He is an expert in the theory and application of various operation research techniques, including stochastic modeling, simulation, and stochastic optimization. He has been teaching courses in data analytics, stochastic modeling, simulation, programming, software engineering, and software project management. He has long-term experience in R&D project management, which he gained working in large and complex organizations such as Motorola and Microsoft Research. His current research interests are centered on the optimization of resource allocation in health systems, sustainability, and the central role of data for informed decision-making.

Current Research Interests

Predictive modeling of artificial and living systems
Stochastic models
Meta-heuristic optimization techniques
Discrete-event simulation
Optimization of resource management in health systems

Current Appointments & Affiliations

Associate Professor of Electric and Computer Engineering at Duke Kunshan University, DKU Faculty, Duke Kunshan University 2019

Contact Information

Background
Education, Training, & Certifications
- Ph.D., Università di Pisa (Italy) 1999
- M.S., Università di Pisa (Italy) 1994
Recognition
Awards & Honors
- Excellence in Teaching Award. ECE - Duke Kunshan University. May 2021
- Excellence in Teaching Award. ECE - Duke Kunshan University. 2020
Expertise
Subject Headings
Global Scholarship
- Research
  - Colombia (Country)
Publications & Artistic Works
Selected Publications
- Books
  - Lecca, P., A. Re, A. Ihekwaba, I. Mura, and T. P. Nguyen. Computational Systems Biology: Inference and Modeling, 2016. https://doi.org/10.1016/C2014-0-01062-3.
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- Academic Articles
  - Sierra, D. A., J. F. Rueda, C. Mejía-Moncayo, I. Mura, and F. Muñoz. “A Bacterial Foraging Approach for Safer Plant Layout Designs.” Process Integration and Optimization for Sustainability, January 1, 2022. https://doi.org/10.1007/s41660-022-00241-7.
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  - Qiu, K., Z. Zheng, K. S. Trivedi, and I. Mura. “Availability Analysis of Systems Deploying Sequences of Environmental-Diversity-Based Recovery Methods.” Ieee Transactions on Reliability 70, no. 3 (September 1, 2021): 1126–42. https://doi.org/10.1109/TR.2020.3023032.
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  - Díaz, J. J., I. Mura, J. F. Franco, and R. Akhavan-Tabatabaei. “aiRe - A web-based R application for simple, accessible and repeatable analysis of urban air quality data.” Environmental Modelling and Software 138 (April 1, 2021). https://doi.org/10.1016/j.envsoft.2021.104976.
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  - Mura, I., J. F. Franco, L. Bernal, N. Melo, J. J. Díaz, and R. Akhavan-Tabatabaei. “A Decade of Air Quality in Bogotá: A Descriptive Analysis.” Frontiers in Environmental Science 8 (May 27, 2020). https://doi.org/10.3389/fenvs.2020.00065.
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  - Sierra, D., L. Montecchi, and I. Mura. “Stochastic modeling and analysis of vapor cloud explosions domino effects in chemical plants.” Journal of the Brazilian Computer Society 25, no. 1 (December 1, 2019). https://doi.org/10.1186/s13173-019-0092-8.
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  - Ramírez, Omar, Ivan Mura, and Juan Felipe Franco. “How Do People Understand Urban Air Pollution? Exploring Citizens’ Perception on Air Quality, Its Causes and Impacts in Colombian Cities.” Open Journal of Air Pollution 06, no. 01 (2017): 1–17. https://doi.org/10.4236/ojap.2017.61001.
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  - Franco, J. F., J. F. Segura, and I. Mura. “Air pollution alongside bike-paths in bogotá-colombia.” Frontiers in Environmental Science 4, no. NOV (November 25, 2016). https://doi.org/10.3389/fenvs.2016.00077.
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  - Ihekwaba, Adaoha E. C., Ivan Mura, John Walshaw, Michael W. Peck, and Gary C. Barker. “An Integrative Approach to Computational Modelling of the Gene Regulatory Network Controlling Clostridium botulinum Type A1 Toxin Production.” Plos Computational Biology 12, no. 11 (November 17, 2016): e1005205. https://doi.org/10.1371/journal.pcbi.1005205.
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  - Ihekwaba, Adaoha E. C., Ivan Mura, Pradeep K. Malakar, John Walshaw, Michael W. Peck, and G. C. Barker. “New Elements To Consider When Modeling the Hazards Associated with Botulinum Neurotoxin in Food.” Journal of Bacteriology 198, no. 2 (January 2016): 204–11. https://doi.org/10.1128/jb.00630-15.
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  - Lecca, Paola, Ivan Mura, Angela Re, Gary C. Barker, and Adaoha E. C. Ihekwaba. “Time Series Analysis of the Bacillus subtilis Sporulation Network Reveals Low Dimensional Chaotic Dynamics.” Frontiers in Microbiology 7 (January 2016): 1760. https://doi.org/10.3389/fmicb.2016.01760.
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  - Ihekwaba, Adaoha E. C., Ivan Mura, Michael W. Peck, and G. C. Barker. “The pattern of growth observed for Clostridium botulinum type A1 strain ATCC 19397 is influenced by nutritional status and quorum sensing: a modelling perspective.” Pathogens and Disease 73, no. 9 (December 2015): ftv084. https://doi.org/10.1093/femspd/ftv084.
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  - Ihekwaba, Adaoha E. C., Ivan Mura, and Gary C. Barker. “Computational modelling and analysis of the molecular network regulating sporulation initiation in Bacillus subtilis.” Bmc Systems Biology 8 (October 24, 2014): 119. https://doi.org/10.1186/s12918-014-0119-x.
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  - Csikász-Nagy, Attila, and Ivan Mura. “Role of mRNA Gestation and Senescence in Noise Reduction during the Cell Cycle.” Studies in Health Technology and Informatics 162 (January 2011): 236–43.
  - Csikász-Nagy, Attila, and Ivan Mura. “Role of mRNA gestation and senescence in noise reduction during the cell cycle.” In Silico Biology 10, no. 1 (January 2010): 81–88. https://doi.org/10.3233/isb-2010-0416.
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  - Mura, I., D. Prandi, C. Priami, and A. Romanel. “Exploiting non-Markovian Bio-Processes.” Electronic Notes in Theoretical Computer Science 253, no. 3 (November 1, 2009): 83–98. https://doi.org/10.1016/j.entcs.2009.10.007.
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  - Ballarini, P., R. Mardare, and I. Mura. “Analysing Biochemical Oscillation through Probabilistic Model Checking.” Electronic Notes in Theoretical Computer Science 229, no. 1 (February 28, 2009): 3–19. https://doi.org/10.1016/j.entcs.2009.02.002.
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  - Palmisano, A., I. Mura, and C. Priami. “From ODES to language-based, executable models of biological systems.” Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, January 2009, 239–50. https://doi.org/10.1142/9789812836939_0023.
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  - Kuwahara, Hiroyuki, and Ivan Mura. “An efficient and exact stochastic simulation method to analyze rare events in biochemical systems.” The Journal of Chemical Physics 129, no. 16 (October 2008): 165101. https://doi.org/10.1063/1.2987701.
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  - Mura, Ivan, and Attila Csikász-Nagy. “Stochastic Petri Net extension of a yeast cell cycle model.” Journal of Theoretical Biology 254, no. 4 (October 2008): 850–60. https://doi.org/10.1016/j.jtbi.2008.07.019.
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  - Cavaliere, M., and I. Mura. “Experiments on the reliability of stochastic spiking neural P systems.” Natural Computing 7, no. 4 (April 23, 2008): 453–70. https://doi.org/10.1007/s11047-008-9086-8.
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  - Karetsos, G. T., S. A. Kyriazakos, E. Groustiotis, F. Di Giandomenico, and I. Mura. “A hierarchical radio resource management framework for integrating WLANs in cellular networking environments.” Ieee Wireless Communications 12, no. 6 (December 1, 2005): 11–17. https://doi.org/10.1109/MWC.2005.1561940.
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  - Bondavalli, A., S. Chiaradonna, F. Di Giandomenico, and I. Mura. “Dependability modeling and evaluation of multiple-phased systems using DEEM.” Ieee Transactions on Reliability 53, no. 4 (December 1, 2004): 509–22. https://doi.org/10.1109/TR.2004.837709.
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  - Kyriazakos, S. A., G. T. Karetsos, I. Mura, E. Gkroustiotis, N. Papaoulakis, C. Kechagias, and K. Vlahodimitropoulos. “A real-time monitoring and intelligent decisions-making platform for enhanced radio resource management in wireless cellular systems.” Wireless Personal Communications 30, no. 2–4 (September 1, 2004): 77–95. https://doi.org/10.1023/B:WIRE.0000049392.43031.36.
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  - Porcarelli, S., F. Di Giandomenico, A. Bondavalli, M. Barbera, and I. Mura. “Service-level availability estimation of GPRS.” Ieee Transactions on Mobile Computing 2, no. 3 (July 1, 2003): 233–47. https://doi.org/10.1109/TMC.2003.1233529.
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  - Mura, I., and A. Bondavalli. “Markov regenerative stochastic Petri nets to model and evaluate phased mission systems dependability.” Ieee Transactions on Computers 50, no. 12 (December 1, 2001): 1337–51. https://doi.org/10.1109/TC.2001.970572.
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  - Mura, I., and A. Bondavalli. “Hierarchical modeling & evaluation of phased-mission systems.” Ieee Transactions on Reliability 48, no. 4 (December 1, 1999): 360–68. https://doi.org/10.1109/24.814518.
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  - Bondavalli, A., F. Di Giandomenico, and I. Mura. “An Optimal Value-Based Admission Policy and its Reflective Use in Real-Time Systems.” Real Time Systems 16, no. 1 (January 1, 1999): 5–30. https://doi.org/10.1023/A:1008089718353.
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  - González M., Jorge Enrique, and Ivan Mura. “Comparison of modeling options for the mRNA Life cycle.” Revista Ontare 2, no. 2 (n.d.): 83–114. https://doi.org/10.21158/23823399.v2.n2.2014.1242.
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  - Martínez T., Felipe, Geovanni Gil C., Nikolai Guzmán G., Tania Castañeda, Nicolas Buitrago, Eder Bohórquez, and Ivan Mura. “Modelado predictivo de la epidemia de Chikungunya.” Revista Ontare 3, no. 2 (n.d.): 7–31. https://doi.org/10.21158/23823399.v3.n2.2015.1439.
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  - Mura, Ivan. “On the impact of hidden modeling assumptions on living systems- predictive dynamics.” Revista Ontare 2, no. 1 (n.d.): 85–106. https://doi.org/10.21158/23823399.v2.n1.2014.1236.
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  - Mura, Ivan. “Detailed state probability distribution of infinite servers queues with phase-type distributed service times.” Revista Ontare 3, no. 1 (n.d.): 29–54. https://doi.org/10.21158/23823399.v3.n1.2015.1249.
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  - Mura, Ivan. “On modeling approaches for the predictive simulation of living systms dymamics.” Revista Ontare 1, no. 2 (n.d.): 101–24. https://doi.org/10.21158/23823399.v1.n2.2013.1225.
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- Book Sections
  - Mejía-Moncayo, C., A. E. Rojas, and I. Mura. “A discrete bacterial chemotaxis approach to the design of cellular manufacturing layouts,” 10960 LNCS:423–37, 2018. https://doi.org/10.1007/978-3-319-95162-1_29.
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  - Csikász-Nagy, Attila, and Ivan Mura. “Role of Computational Modeling in Understanding Cell Cycle Oscillators.,” 1342:59–70, 2016. https://doi.org/10.1007/978-1-4939-2957-3_3.
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  - Lecca, Paola, Angela Re, Adaoha Ihekwaba, Ivan Mura, and Thanh-Phuong Nguyen. “Network Inference From Time-Course Data.” In Computational Systems Biology, 21–45. Elsevier, 2016. https://doi.org/10.1016/b978-0-08-100095-3.00003-2.
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  - Lecca, Paola, Angela Re, Adaoha Ihekwaba, Ivan Mura, and Thanh-Phuong Nguyen. “Deterministic Differential Equations.” In Computational Systems Biology, 67–98. Elsevier, 2016. https://doi.org/10.1016/b978-0-08-100095-3.00005-6.
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  - Lecca, Paola, Angela Re, Adaoha Ihekwaba, Ivan Mura, and Thanh-Phuong Nguyen. “From Network Inference to the Study of Human DiseasesaaThe work is partially supported by the National Research Foundation of Luxembourg (AFR 9139104).” In Computational Systems Biology, 119–40. Elsevier, 2016. https://doi.org/10.1016/b978-0-08-100095-3.00007-x.
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  - Lecca, Paola, Angela Re, Adaoha Ihekwaba, Ivan Mura, and Thanh-Phuong Nguyen. “Network Inference From Steady-State Data.” In Computational Systems Biology, 13–19. Elsevier, 2016. https://doi.org/10.1016/b978-0-08-100095-3.00002-0.
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  - Lecca, Paola, Angela Re, Adaoha Ihekwaba, Ivan Mura, and Thanh-Phuong Nguyen. “Overview of Biological Network Inference and Modeling of Dynamics.” In Computational Systems Biology, 1–11. Elsevier, 2016. https://doi.org/10.1016/b978-0-08-100095-3.00001-9.
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  - Lecca, Paola, Angela Re, Adaoha Ihekwaba, Ivan Mura, and Thanh-Phuong Nguyen. “Stochastic Differential Equations.” In Computational Systems Biology, 99–117. Elsevier, 2016. https://doi.org/10.1016/b978-0-08-100095-3.00006-8.
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  - Lecca, Paola, Angela Re, Adaoha Ihekwaba, Ivan Mura, and Thanh-Phuong Nguyen. “Network-Based Conceptualization of Observational Data.” In Computational Systems Biology, 47–65. Elsevier, 2016. https://doi.org/10.1016/b978-0-08-100095-3.00004-4.
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  - Mura, I. “Predictive modeling of signaling transduction mediated by tyrosine-kinase receptors,” 232:1–6, 2014. https://doi.org/10.1007/978-3-319-01568-2_1.
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  - Mura, Ivan. “Cell Cycle Modeling, Petri Nets.” In Encyclopedia of Systems Biology, 287–90. Springer New York, 2013. https://doi.org/10.1007/978-1-4419-9863-7_27.
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  - Mura, Ivan. “Cell Cycle Modeling, Stochastic Methods.” In Encyclopedia of Systems Biology, 294–96. Springer New York, 2013. https://doi.org/10.1007/978-1-4419-9863-7_25.
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  - Mura, Ivan. “Stochastic Modeling.” In Computational Biology, 121–51. Springer London, 2011. https://doi.org/10.1007/978-1-84996-474-6_7.
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  - Arlat, Jean, Andrea Bondavalli, Felicita Di Giandomenico, Mohamed Tahar Jarboui, Eric Jenn, Karama Kanoun, Ivan Mura, and David Powell. “Dependability Evaluation.” In A Generic Fault-Tolerant Architecture for Real-Time Dependable Systems, 157–91. Springer US, 2001. https://doi.org/10.1007/978-1-4757-3353-2_9.
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  - Kuwahara, Hiroyuki, Curtis Madsen, Ivan Mura, Chris Myers, Abiezer Tejeda, and Chris Winste. “Effecient Stochastic Simulation to Analyze Targeted Properties of Biological Systems.” In Stochastic Control. Sciyo, n.d. https://doi.org/10.5772/46977.
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- Conference Papers
  - Mura, I. “Stochastic Modeling and Analysis of Phased-Mission Systems Dependability.” In Proceedings Annual Reliability and Maintainability Symposium, Vol. 2021-May, 2021. https://doi.org/10.1109/RAMS48097.2021.9605781.
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  - Sierra, D., J. Briceño, H. Buitrago, B. Rozo, L. Montecchi, and I. Mura. “Probabilistic Modeling of Failure Domino Effects in Chemical Plants.” In Proceedings 8th Latin American Symposium on Dependable Computing, Ladc 2018, 57–66, 2019. https://doi.org/10.1109/LADC.2018.00016.
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  - Góngora, D. A., J. J. D. Baquero, J. F. Franco, and I. Mura. “Simulation to predict cyclists' exposure to air pollution along bikeways.” In Proceedings Winter Simulation Conference, 2018-December:2387–98, 2019. https://doi.org/10.1109/WSC.2018.8632358.
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  - Martínez, N. M., L. M. Montes, I. Mura, and J. F. Franco. “Machine Learning Techniques for PM 10 Levels Forecast in Bogotá.” In 2018 Icai Workshops, Icaiw 2018 Joint Proceedings of the Workshop on Data Engineering and Analytics, Wdea 2018, Workshop on Smart Sustainable Cities, Wssc 2018, Workshop on Intelligent Transportation Systems, Wits 2018 and Workshop on Empirical Experiences on Software Reuse, Weesr 2018, 2018. https://doi.org/10.1109/ICAIW.2018.8554995.
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  - Montecchi, L., I. Mura, B. Neto, and C. Rubira. “Message from the WDES 2016 workshop chairs.” In Proceedings 7th Latin American Symposium on Dependable Computing, Ladc 2016, xi–xii, 2016. https://doi.org/10.1109/LADC.2016.7.
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  - Díaz, D. A., R. Akhavan-Tabatabaei, and I. Mura. “A compartmentalized simulation model for evaluation of hpv vaccination policies in Colombia.” In Proceedings Winter Simulation Conference, 0:1994–2005, 2016. https://doi.org/10.1109/WSC.2016.7822244.
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  - Mura, I. “On the performance figures of queuing systems with context-dependent service times.” In 2014 Ieee Colombian Conference on Communications and Computing, Colcom 2014 Conference Proceedings, 2014. https://doi.org/10.1109/ColComCon.2014.6860405.
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  - Barbera, M., C. Barbero, P. Dal Zovo, F. Farinaccio, E. Gkroustiotis, S. Kyriazakos, I. Mura, and G. Previti. “An application of case-based reasoning to the adaptive management of wireless networks.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2416:490–504, 2002. https://doi.org/10.1007/3-540-46119-1_36.
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  - Bondavalli, A., I. Mura, S. Chiaradonna, R. Filippini, S. Poli, and F. Sandrini. “DEEM: A tool for the dependability modeling and evaluation of multiple phased systems.” In Proceedings of the 2002 International Conference on Dependable Systems and Networks, 231–36, 2000. https://doi.org/10.1109/ICDSN.2000.857541.
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  - Bondavalli, A., I. Majzik, and I. Mura. “Automatic dependability analysis for supporting design decisions in UML.” In Proceedings 4th Ieee International Symposium on High Assurance Systems Engineering, Hase 1999, 64–71, 1999. https://doi.org/10.1109/HASE.1999.809476.
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  - Bondavalli, A., I. Mura, and K. S. Trivedi. “Dependability modelling and sensitivity analysis of scheduled maintenance systems.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1667 LNCS:7–23, 1999. https://doi.org/10.1007/3-540-48254-7_2.
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  - Mura, I., A. Bondavalli, X. Zang, and K. S. Trivedi. “Dependability modeling and evaluation of phased mission systems: A DSPN approach.” In Dependable Computing for Critical Applications 7, 319–37, 1999. https://doi.org/10.1109/DCFTS.1999.814303.
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  - Balsamo, S., and I. Mura. “On queue length moments in fork and join queuing networks with general service times.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1245:218–31, 1997. https://doi.org/10.1007/BFb0022209.
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  - Bondavalli, A., F. Di Giandomenico, and I. Mura. “Value-driven resource assignment in object-oriented real-time dependable systems.” In Proceedings of the Workshop on Object Oriented Real Time Dependable Systems (Words), 92–99, 1997.
  - Bondavalli, A., I. Mura, and M. Nelli. “Analytical modelling and evaluation of phased-mission systems for space applications.” In Proceedings of the High Assurance Systems Engineering Workshop, 85–91, 1997.
  - Balsamo, S., and I. Mura. “Synchronisation delay in hardware fault-tolerance techniques.” In Proceedings Ieee International Computer Performance and Dependability Symposium, Ipds, 240–49, 1996.
  - Balsamo, S., and I. Mura. “Approximate response time distribution in fork and join systems.” In Proceedings of the 1995 Acm Sigmetrics Joint International Conference on Measurement and Modeling of Computer Systems, Sigmetrics 1995/Performance 1995, 305–6, 1995. https://doi.org/10.1145/223587.223623.
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Teaching & Mentoring
Recent Courses
Teaching Activities
- ECE551 - Programming, Data Structures and Algorithms in C++
  ECE650 - Systems Programming and Engineering
  ECE651 - Software Engineering
Scholarly, Clinical, & Service Activities
Service to the Profession
- Guest Associate Editor. Special topic of Frontiers in Sustainable Cities: The Role of Data in Mobility and Urban Health. Frontiers Media SA. August 31, 2020 2020
Service to Duke
- Duke Kunshan University. Teaching and Advising Committee. 2021 2021
- Duke Kunshan University. Computing Resources Committee. 2020 2020

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Education, Training, & Certifications

Awards & Honors

Subject Headings

Global Scholarship

Research

Selected Publications

Books

Academic Articles

Book Sections

Conference Papers

Recent Courses

Teaching Activities

Service to the Profession

Service to Duke