John A. Pelesko Ph.D.
John Pelesko is an applied mathematician interested in the development and application of mathematical methods to problems arising in the physical sciences. Currently, my research is focused on the mathematical modeling of microelectromechanical systems (MEMS) and nanoelectromechanical systems (NEMS). University of Delaware, Newark, DE. Assistant Professor (Sept 2002 to present). Instructor for an undergraduate course in ordinary differential equations. Actively pursuing research interests in asymptotic methods, mathematical modeling and scientific computing. Currently studying problems related to the design and function of micro and nanoelectromechanical system (MEMS and NEMS).Pelesko says he works on problems that arise in an industrial or technological setting. and has worked on problems in microwave heating, electron beam welding, diffusion in polymers, solidification thermomechanics, thermoelastic stability and shock dynamics. EducationPh.D. Mathematical Sciences, 1997, New Jersey Institute of Technology; B.S. Pure Mathematics, Cum Laude, Distinction in Pure Mathematics, 1992, University of MassachusettsCareer HighlightsGeorgia Institute of Technology, Atlanta, GA. Assistant Professor (August 1999 to present). Instructor for a graduate course in industrial mathematics. Instructor for undergraduate courses in mathematical methods and calculus. Actively pursuing research interests in asymptotic methods, mathematical modeling and scientific computing. Currently studying a variety of problems related to the design and function of microelectromechancial systems (MEMS) and nanoelectromechanical systems (NEMS). Continuing research efforts on problems arising in materials science and materials processing.California Institute of Technology, Pasadena, CA. Von Karman Instructor (October 1997 to August 1999). Instructor for a year long graduate course in perturbation methods, 1997-1998, and a year long course in methods of applied mathematics, 1998-1999. Actively pursued research interests in asymptotic methods, mathematical modeling and scientific computing. Studied a variety of problems arising in materials science and materials processing. New Jersey Institute of Technology, Newark, NJ. Special Lecturer (January 1997 to May 1997). Instructor for undergraduate course in ordinary differential equations. Important ArticlesB. Bukiet, J.A. Pelesko, X.L. Li and P.L. Sachdev, "A Characteristic Based Numerical Method with Tracking for Nonlinear Wave Equations," Computers and Mathematics with Applications, v. 31, no. 7, pp. 75-99, 1996.J.A. Pelesko and G.A. Kriegsmann, "Microwave Heating of Ceramic Laminates," Materials Research Society Symposium Proceedings, Pittsburgh, P.A., pp. 184-189, Materials Research Society, April 1996. J.A. Pelesko and G.A. Kriegsmann, "Microwave Heating of Ceramic Laminates," The Journal of Engineering Mathematics, v. 32, pp. 1-18, 1997. P. Guidotti and J.A. Pelesko, "Transient Instability in Case II Diffusion," Journal of Polymer Science, Part B, v. 36, pp. 2941-2947, 1998. J.A. Pelesko, "Nonlinear Stability Considerations in Thermoelastic Contact," ASME Journal of Applied Mechanics, v. 66, pp. 109-116, 1999. J.A. Pelesko and G.A. Kriegsmann, "Microwave Heating of Ceramic Composites," IMA Journal of Applied Mathematics, v. 64, pp. 39-50, 2000. D. Bernstein, P. Guidotti and J.A. Pelesko, "Mathematical Analysis of Electrostatically Actuated MEMS Devices," Proceedings of MSM 2000, San Diego, CA, pp. 489-492, 2000. J.A. Pelesko and A.A. Triolo, "Nonlocal Problems in MEMS Device Control," Proceedings of MSM 2000, San Diego, CA, pp. 509-512, 2000. J.A. Pelesko, "Nonlinear Stability, Thermoelastic Contact and the Barber Condition," ASME Journal of Applied Mechanics, v. 68, pp. 28-33, 2001. J.A. Pelesko, "Multiple Solutions in Electrostatic MEMS," Proceedings of MSM 2001, Hilton Head, SC, pp. 290-293. 2001. J.A. Pelesko, "Electrostatic Field Approximations and Implications for MEMS Devices," ESA 2001 Proceedings, pp. 126-137. J.A. Pelesko and A.A. Triolo, "Nonlocal Problems in MEMS Device Control," Journal of Engineering Mathematics, v. 41, pp. 345-366, 2001. D.D. Quinn and J.A. Pelesko, "Generic Unfolding of the Thermoelastic Contact Instability," International Journal of Solids and Structures, v. 39, pp. 145-157, 2002. J.A. Pelesko, "Mathematical Modeling of Electrostatic MEMS with Tailored Dielectric Properties," SIAM Journal on Applied Mathematics, v. 62, pp. 888-908, 2002. J.A. Pelesko and X.Y. Chen, "Electrostatically Deflected Circular Elastic Membranes," Journal of Electrostatics, v. 57, 1, pp. 1-12, 2003. J.A. Pelesko, D.H. Bernstein, and J. McCuan, "Symmetry and Symmetry Breaking in Electrostatic MEMS," Proceedings of MSM 2003, pp. 304-307, 2003. G. Flores, G.A. Mercado, and J.A. Pelesko, "Dynamics and Touchdown in Electrostatic MEMS," Transactions of ASME 2003, pp. 1-8, 2003. J.A. Pelesko and G. Goldsztein, "Electrostatic Deflection of Volume Constrained MEMS," Proceedings of ICMENS 2003, pp. 76-80, 2003. G. Flores, G.A. Mercado, and J.A. Pelesko, "Dynamics and Touchdown in Electrostatic MEMS," Proceedings of ICMENS 2003, pp. 182-187, 2003. S. Ai and J.A. Pelesko, "Periodic Solutions of a Canonical MEMS/NEMS Model," Journal of Discrete and Continuous Dynamical Systems, 2002, in press. J.L. Jordan, J.A. Pelesko, and N.N. Thadani, "A Predictive Kinetics-Based Model for Solid State Reaction Synthesis of Ti3SiC2," Journal of Materials Research, in press. J.A. Pelesko, "Generalizing the Conway-Hofstadter $10,000 Sequence," Journal of Integer Sequences, v. 7, Article 04.3.5, 2004. J.A. Pelesko and G. Goldsztein, "Modeling Constrained Capacitive Systems," Journal of Computational and Theoretical Nanoscience, in press. J.A. Pelesko, M. Cesky, and S. Huertas, "Lenz's Law and Dimensional Analysis," Am. J. of Phys., v. 73, p. 37, 2005. J.A. Pelesko, "A Self-Organizing Bucket Brigade," Proceedings of ICMENS 2004, pp. 212-217. J.A. Pelesko and T.A. Driscoll, "Approximations in Canonical Electrostatic MEMS Models," Journal of Engineering Mathematics, submitted October 2004. |
By this Researcher
Related ContentHigh-Fidelity Universal Set of Quantum Gates using Non-adiabatic Rapid PassageNumerical simulation results are presented which suggest that a class of non-adiabatic rapid passage sweeps known as twisted rapid passage should be capable of implementing a universal set of quantum gates that operate with high fidelity. The universal set consists of the Hadamard and NOT gates, together with variants of the phase, pi/8, and controlled-phase gates. The simulations suggest that the universal set of gates produced by twisted rapid passage shows promise as possible elements of a fault-tolerant scheme for quantum computing.
Quantum Error Correction and Fault Tolerant Quantum Computing It was once widely believed that quantum computation would never become a reality. However, the discovery of quantum error correction and the proof of the accuracy threshold theorem nearly ten years ago gave rise to extensive development and research aimed at creating a working, scalable quantum computer. Over a decade has passed since this monumental accomplishment yet no book-length pedagogical presentation of this important theory exists. Quantum Error Correction and Fault Tolerant Quantum Computing offers the first full-length exposition on the realization of a theory once thought impossible. It provides in-depth coverage on the most important class of codes discovered to date-quantum stabilizer codes. It brings together the central themes of quantum error correction and fault-tolerant procedures to prove the accuracy threshold theorem for a particular noise error model. The author also includes a derivation of well-known bounds on the parameters of quantum error correcting code.
Packed with over 40 real-world problems, 35 field exercises, and 17 worked-out examples, this book is the essential resource for any researcher interested in entering the quantum field as well as for those who want to understand how the unexpected realization of quantum computing is possible.
What is Self-Assembly?Prof. John A. Pelesko, a mathematician with the University of Delaware, describes self-assembly and offers his views on how understanding of models and mathematics of self-assembly can improve man-made engineering.
|
|||||||||||||||||||||||||
|
|
||||||||||||||||||||||||||