B.S. University of New Haven
M.S. in Computer Science, University of New Haven
High dimension optimization, artificial intelligence, machine learning, and heterogeneous computing.
John Persano is a professional software engineer and an adjunct lecturer at the University of New Haven. He has a strong interest in machine learning, real-time communication, web application development, and electronics.
Persano, J., Mikki, S. (2018) "Gradient Population Optimization: A TensorFlow-Based Heterogeneous Non-von-Neumann Paradigm for Large-Scale Search”. IEEE Access
Persano, J., Mikki, S., Antar, Y. (2017) "A Novel Massively-Parallel Processing Framework for Real-Time MIMO and Smart Antenna Array Beam Control”. CEM 2017
Alzahed, A., Mikki, S., Persano, J., Antar, Y. (2017) "A New Algorithm for Radar Target Identification Using a GPU-Accelerated ACGF-SEM Technique”. CEM 2017
Mikki, S., Alzahed, A., Hanoon, A., Persano, J., Aulin, J., Antar, Y (2017) "Theory of Electromagnetic Intelligent Agents with Applications to MIMO and DoA Systems”. IEEE AP-S.URSI 2017