Luis M. Rocha

For other people named Luis Rocha, see Luis Rocha (disambiguation).
Luis M. Rocha
Luis M. Rocha, 2014
Born (1966-10-05) October 5, 1966 (age 57)
Luanda, Angola
Alma materInstituto Superior Técnico, Portugal Lic. (B.A. plus M.S.), 1990
Binghamton University Ph.D., 1997
Awards
Scientific career
Fields
Institutions
ThesisEvidence Sets and Contextual Genetic Algorithms: Exploring Uncertainty, Context, and Embodiment in Cognitive and Biological Systems. SUNY Binghamton. (1997)
Academic advisors
Websitecasci.binghamton.edu

Luis M. Rocha is the George J. Klir Professor of Systems Science at the Thomas J. Watson College of Engineering and Applied Science, Binghamton University (State University of New York). He has been director of the NSF-NRT Complex Networks and Systems graduate Program in Informatics at Indiana University, Bloomington, USA. He is also director of the Center for Social and Biomedical Complexity, between Binghamton University and Indiana University, Bloomington, a Fulbright Scholar, and Principal Investigator at the Instituto Gulbenkian de Ciencia, Portugal. His research is on complex systems and networks,[1][2][3][4] computational and systems biology,[1][5][6][7][8] biomedical complexity and digital health,[9][10][11][12] and computational intelligence (including Artificial Life and Embodied Cognition).[13][14][15][16][17][18][19][20][21]

  1. ^ a b A.J. Gates, R.B. Correia, X. Wang, L.M. Rocha. "The effective graph reveals redundancy, canalization, and control pathways in biochemical regulation and signaling" PNAS, 118(12): e2022598118. doi:10.1371/journal.pone.0055946. 2013
  2. ^ T. Simas, R.B. Correia, and L.M. Rocha. "The distance backbone of complex networks." Journal of Complex Networks, 9 (6): cnab021, DOI:10.1093/comnet/cnab021, 2021
  3. ^ A. Kolchinsky, M. P. Van Den Heuvel, A. Griffa, P. Hagmann, L.M. Rocha, O. Sporns, J. Goni. "Multi-scale Integration and Predictability in Resting State Brain Activity". Frontiers in Neuroinformatics, 8:66. doi: 10.3389/fninf.2014.00066, 2014
  4. ^ Gates, A. and L.M. Rocha. "Control of complex networks requires both structure and dynamics". Scientific Reports., 6:24456. doi: 10.1038/srep244564, 2016
  5. ^ M.E. Wall, A. Rechtesteiner, and L. M. Rocha, Singular Value Decomposition and Principal Component Analysis "A Practical Approach to Microarray Data Analysis". D. P. Berrar, W. Dubitzky, and M. Granzow (Eds.). Kluwer Academic Publishers, pp. 91-109. 2003
  6. ^ A. Kolchinsky, A. Lourenço, H. Wu, L. Li, L.M. Rocha. "Extraction of Pharmacokinetic Evidence of Drug-drug Interactions from the literature" PLoS ONE 10(5): e0122199. doi:10.1371/journal.pone.0122199. 2015.
  7. ^ A. Lourenco, M. Conover, A. Wong, A. Nematzadeh, F. Pan, H. Shatkay, and L.M. Rocha, A Linear Classifier Based on Entity Recognition Tools and a Statistical Approach to Method Extraction in the Protein-Protein Interaction Literature. "BMC Bioinformatics.12(Suppl 8):S12." 2011
  8. ^ A. Abi-Haidar, J. Kaur, A. Maguitman, P. Radivojac, A. Retchsteiner, K. Verspoor, Z. Wang, and L.M. Rocha, Uncovering protein interaction in abstracts and text using a novel linear model and word proximity networks. "Genome Biology. 9(Suppl 2):S11" 2008
  9. ^ R.B. Correia, L. Li, L.M. Rocha "Monitoring potential drug interactions and reactions via network analysis of Instagram user timelines". Pacific Symposium on Biocomputing., 21:492-503. DOI: 10.1073/pnas.2022598118, 2021
  10. ^ I.B Wood, P.L. Varela, J. Bollen, L.M. Rocha, J. Gonçalves-Sá "Human Sexual Cycles are Driven by Culture and Match Collective Moods". Scientific Reports., 7:17973. doi: 10.1038/s41598-017-18262-5, 2017
  11. ^ R.B. Correia, I.B Wood, J. Bollen, L.M. Rocha "Mining social media data for biomedical signals and health-related behavior". Annual Review of Biomedical Data Science., 3(1): 433-458. DOI: 10.1146/annurev-biodatasci-030320-040844, 2020.
  12. ^ R.B. Correia, L.P. de Araújo, M.M. Mattos, L.M. Rocha "City-wide Analysis of Electronic Health Records Reveals Gender and Age Biases in the Administration of Known Drug-Drug Interactions". npj Digital Medicine., 2: 74. DOI: 10.1038/s41746-019-0141-x, 2029.
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  15. ^ L.M. Rocha. and W. Hordijk, Material Representations: From the Genetic Code to the Evolution of Cellular Automata. "Artificial Life. 11 (1-2), pp. 189 - 214" 2005
  16. ^ L.M. Rocha, Evolution with material symbol systems. "Biosystems. Vol. 60, pp. 95-121." 2001
  17. ^ L.M. Rocha, Selected Self-Organization and the Semiotics of Evolutionary Systems. "In: Evolutionary Systems: Biological and Epistemological Perspectives on Selection and Self-Organization." S. Salthe, G. Van de Vijver, and M. Delpos (eds.). Kluwer Academic Publishers, pp. 341-358. 1998
  18. ^ L.M. Rocha, Adaptive Recommendation and Open-Ended Semiosis. "Kybernetes. Vol. 30, No. 5-6." 2001
  19. ^ C. Huang, J. Kaur, A. Maguitman, L.M. Rocha, Agent-Based Model of Genotype Editing. "Evolutionary Computation, 15(3): 253-89." 2007
  20. ^ L.M. Rocha, Evidence Sets: Modeling Subjective Categories. "In: International Journal of General Systems. Vol. 27, pp. 457-494." 1997
  21. ^ A. Abi-Haidar and L.M. Rocha. "Collective Classification of Textual Documents by Guided Self-Organization in T-Cell Cross-Regulation Dynamics". Evolutionary Intelligence. 4(2):69-80, 2011