Richard A. Formato

Richard Formato is an Of Counsel attorney at Cataldo & Fisher, LLC.  He is a Registered Patent Attorney with a general practice in intellectual property and technology law.  Representative practice areas include intellectual property protection strategies and portfolio management, technology and software licensing, employee agreements, patent, copyright, and trademark issues and litigation, and business law and technology-based business development.  Attorney Formato has experience in numerous intellectual property fields, including software, computer science, electrical engineering, electromagnetics and antennas, communication systems, ocean engineering, instrumentation and sensors, and mathematical modeling.

Education

Attorney Formato graduated from Suffolk University Law School, cum laude, in 1985.  He holds a Doctorate in Physical Oceanography from the University of Connecticut, a M.S. in Electrical Engineering from Worcester Polytechnic Institute, a M.S. in Physics from the University of Connecticut, and a B.S., cum laude, in Physics from Worcester Polytechnic Institute.   

Professional Affiliations

Attorney Formato is a member of Sigma Pi Sigma, Sigma Xi, Phi Delta Phi, the Institute of Electrical and Electronics Engineers, and the American Geophysical Union. 

Recent Publications

  ›     “Antenna Benchmark Performance and Array Synthesis using Central Force Optimization,” IET
         Microwaves, Antennas & Propagation, 5, p. 583 (2010) (with G. M. Qubati and N. I. Dib).

  ›     “Improved CFO Algorithm for Antenna Optimization,” Prog. Electromagnetics Research B, 19, p. 405
         (2010).

  ›     “Central Force Optimization and NEOs – First Cousins?” Journal of Multiple-Valued Logic and Soft
         Computing, 16, p. 547 (2010).

  ›     “Central Force Optimisation: a New Gradient-Like Metaheuristic for Multidimensional Search and
         Optimisation,” Int. J. Bio-Inspired Computation, 1, no. 4, p. 217 (2009).

  ›     “Central Force Optimization: A New Deterministic Gradient-Like Optimization Metaheuristic,”
         OPSEARCH, Journal of the Operations Research Society of India, 46, no. 1, p. 25 (2009).

  ›     “Central Force Optimization: A New Computational Framework for Multidimensional Search and
         Optimization,” in Nature Inspired Cooperative Strategies for Optimization (NICSO 2007), Studies in
         Computational Intelligence 129, N. Krasnogor, et al., Eds., p. 221, Springer-Verlag, Heidelberg
         (2008) (book chapter).

  ›     “Central Force Optimization: A New Metaheuristic with Applications in Applied Electromagnetics,”
          Prog. Electromagnetics Research, 77, p. 425 (2007).

  ›     “Convergence Analysis and Performance of the Extended Artificial Physics Optimization Algorithm,”
         Applied Mathematics and Computation (with L. Xie and J. Zeng) (review).

  ›     “Central Force Optimization with Variable Initial Probes and Adaptive Decision Space,” Applied
         Mathematics and Computation (review).