John Persano, M.S.
Electrical & Computer Engineering and Computer Science Department
Tagliatela College of Engineering
Education
B.S. University of New Haven
M.S. in Computer Science, University of New Haven
Research Interests
High dimension optimization, artificial intelligence, machine learning, and heterogeneous computing.
About John
John Persano is a professional software engineer and an adjunct faculty at the University of New Haven. He has a strong interest in machine learning, real-time communication, web application development, and electronics.
Publications
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