Prof. Dr. Alberto Gandolfi

Visiting Professor
New York University Abu Dhabi, UAE

Highest Degree
Ph.D. in Mathematical Physics from Delft University of Technology, Netherlands

My URL
https://livedna.org/39.17161

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Area of Interest:

Mathematics
Engineering Materials
Mathematical Physics
Probability Theory
Statistical Modeling

Selected Publications

  1. Gandolfi, A. and P. Lenarda, 2017. A note on Gibbs and Markov random fields with constraints and their moments. Math. Mech. Complex Syst., 4: 407-422.
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  2. Nadkarni, A., J.A Burns., A. Gandolfi, M.A. Chowdhury and L. Cartularo et al., 2016. Nucleotide excision repair and transcription-coupled DNA repair abrogate the impact of DNA damage on transcription. J. Biol. Chem., 291: 848-861.
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  3. Gandolfi, A. and L. Cecconi, 2016. SIR epidemics on a scale-free spatial nested modular network. Adv. Applied Probab., 48: 137-162.
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  4. Camia, F., A. Gandolfi and M. Kleban, 2016. Conformal correlation functions in the Brownian loop soup. Nuclear Phys. B, 902: 483-507.
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  5. Van den Berg, J. and A. Gandolfi, 2013. BK-type inequalities and generalized random-cluster representations. Probab. Theory Relat. Fields, 157: 157-181.
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  6. Gandolfi, A., M. Benelli, A. Magi and S. Chiti, 2013. Moment estimation in discrete shifting level model applied to fast array‐CGH segmentation. Stat. Neerlandica, 67: 227-262.
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  7. Cecconi, L., A. Gandolfi and C.C. Sastri, 2012. A new estimator for the number of species in a population. Sankhya A, 74: 80-100.
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  8. Beretta, E., A. Gandolfi and C.C.A. Sastri, 2008. Mathematics and innovation in engineering. Key Eng. Mater., 380: 3-14.
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  9. Gandolfi, A. and C.C. Sastri, 2004. Nonparametric estimations about species not observed in a random sample. Milan J. Math., 72: 81-105.
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  10. Antonini, L., F. Colivicchi, S. Greco, V. Guido and S. Malfatti et al., 2003. Ambulatory blood pressure monitoring after acute myocardial infarction: Development of a new prognostic index. High Blood Pressure Cardiovasc. Prev., 10: 75-80.
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  11. Dembo, A., A. Gandolfi and H. Kesten, 2001. Greedy lattice animals: Negative values and unconstrained maxima. Ann. Probab., 29: 205-241.
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  12. Gandolfi, A., C.M. Newman and D.L. Stein, 2000. Zero-temperature dynamics of ±J Spin glasses ¶ and related models. Commun. Math. Phys., 214: 373-387.
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  13. Gandolfi, A., 1999. A remark on gauge symmetries in Ising spin glasses. Probab. Theory Relat. Fields, 114: 419-430.
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  14. De Santis, E. and A. Gandolfi, 1999. Bond percolation in frustrated systems. Ann. Probab., 27: 1781-1808.
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  15. Van den Berg, J. and A. Gandolfi, 1995. A triangle inequality for covariances of binary FKG random variables. Ann. Applied Probab., 5: 322-326.
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  16. Barsky, D.J. and A. Gandolfi, 1995. A generalized maximum pseudo-likelihood estimator for noisy Markov fields. Ann. Applied Probab., 5: 1095-1125.
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  17. Gandolfi, A. and H. Kesten, 1994. Greedy lattice animals II: Linear growth. Ann. Applied Probab., 4: 76-107.
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  18. Gandolfi, A., C.M. Newman and D.L. Stein, 1993. Exotic states in long-range spin glasses. Commun. Math. Phys., 157: 371-387.
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  19. Cox, J.T., A. Gandolfi, P. S. Griffin and H. Kesten, 1993. Greedy lattice animals I: Upper bounds. Ann. Applied Probab., 3: 1151-1169.
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  20. Van den Berg, J. and A. Gandolfi, 1992. LRU is better than FIFO under the independent reference model. J. Applied Probab., 29: 239-243.
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  21. Gandolfi, A., M.S. Keane and C.M. Newman, 1992. Uniqueness of the infinite component in a random graph with applications to percolation and spin glasses. Probab. Theory Relat. Fields, 92: 511-527.
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  22. Gandolfi, A., M. Keane and V. de Valk, 1989. Extremal two-correlations of two-valued stationary one-dependent processes. Probab. Theory Relat. Fields, 80: 475-480.
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  23. Gandolfi, A., 1989. Uniqueness of the infinite cluster for stationary Gibbs states. Ann. Probab., 17: 1403-1415.
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  24. Gandolfi, A., M. Keane and L. Russo, 1988. On the uniqueness of the infinite occupied cluster in dependent two-dimensional site percolation. Ann. Probab., 16: 1147-1157.
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  25. Gandolfi, A., G. Grimmett and L. Russo, 1988. On the uniqueness of the infinite cluster in the percolation model. Commun. Math. Phys., 114: 549-552.
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Member since September, 2017