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Francesco Fraternali is listed as Senior Research Engineer at EpiSys Science, Inc. at EpiSys Science, Inc., a company with 18 employees, based in San Diego, California, United States. AeroLeads shows a work email signal at ucsd.edu and a matched LinkedIn profile for Francesco Fraternali.
Francesco Fraternali previously worked as Senior Research Engineer at Episys Science, Inc. and Ph.D. Candidate in Computer Science and Engineering at University Of California, San Diego. Francesco Fraternali holds Doctor Of Philosophy - Phd, Computer Science from Uc San Diego.
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AeroLeads found 2 current-domain work email signals for Francesco Fraternali. Compare company email patterns before reaching out.
By having a bachelor’s and a master’s degree in Electronic Engineering and while pursuing my Ph.D. in Computer Science Engineering, I am interested in designing and developing innovative solutions that leverage software, hardware, and artificial intelligence to improve current state-of-the-art techniques. I am currently applying deep reinforcement learning methods toward a vision of removing human maintenance at the edge of the Internet of Things. Results are tested on real-world smart building applications. My past projects apply principles from machine learning, software engineering, embedded systems, and human-computer interaction.
Listed skills include Signal Processing, Latex, Embedded Systems, Mathematica, and 23 others.
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A career timeline built from the work history available for this profile.
San Diego, California, United States
My work focuses on the development of artificial intelligence algorithms to control swarms of unmanned drones with minimal human supervision. I am leveraging cutting-edge technologies including multi-agent reinforcement learning techniques for target commercial and defense applications.
Greater San Diego Area
I am a Ph.D. Candidate in Computer Science and Engineering at the UC, San Diego. During my Ph.D. I developed and implemented a framework for autonomous IoT systems thatuses deep reinforcement learning to dynamically optimize sensor-nodes applications’ performancesubject to limited energy and computational resources. I constructed from scratch a.
Bologna Area, Italy
My research concerns power consumption and thermal control of high performance server platform and mobile devices. With this goal, I am studying and extracting accurate predictive thermal models on real multicore systems. The combination of the thermal model extracted and the use of specific optimization algorithms allow for a drastic reduction of the.
Bologna Area, Italy
I worked as a research consultant in the SuperComputing Application and Innovation (SCAI) section at CINECA, with the goal to increase the energy efficiency of supercomputer systems.
Via Monteschiavo 3, 60030 Moie Di Maiolati, Ancona, Italy
Software developer, R&D(energy-efficiency and renewable energy): Design and development of innovative solutions for industrial projects. Web development of the software platform “MyLeaf” and the programming of CompactRIO embedded industrial controller in order to monitor, analyze and manage the energy consumption in smart-grids. Programming languages used.
Greater Los Angeles Area
Developed software algorithms to monitor and classify people daily activities using machine learning techniques in MATLAB. Sensors data were collected, analyzed and feature extraction has been studied in order to increase the accuracy of the pattern recognition system. The results were submitted as two full papers and one of them has been published at.
Other employees you can reach at episci.com. View company contacts for 18 employees →
Kenny Situ
Colleague at Episys Science, Inc.
San Diego, California, United States, United States
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EM
Eileen Marsh
Colleague at Episys Science, Inc.
Lakeside, California, United States, United States
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JC
Jun Chang
Colleague at Episys Science, Inc.
San Marcos, California, United States, United States
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PK
Patrick Killingsworth
Colleague at Episys Science, Inc.
Louisville, Colorado, United States, United States
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LT
Lee Thompson Iv
Colleague at Episys Science, Inc.
Phoenix, Arizona, United States, United States
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RP
Rohit Pillai
Colleague at Episys Science, Inc.
Katy, Texas, United States, United States
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SK
Saeed Kaviani
Colleague at Episys Science, Inc.
San Diego, California, United States, United States
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MV
Mark Viau
Colleague at Episys Science, Inc.
Mary Esther, Florida, United States, United States
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AS
Arthur S.
Colleague at Episys Science, Inc.
Jonesborough, Tennessee, United States, United States
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KD
Kevin Dent
Colleague at Episys Science, Inc.
Eglin Air Force Base, Florida, United States, United States
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I studied Computer Engineering (the intersection of Electrical Engineering and Computer Science). The projects that I worked on at UCLA.
Thesis: Opportunistic Hierarchical Classification for Power Optimization in Wearable Movement Monitoring Systems.
MSEE Relevant Course Work: Computer Architecture, Foundations of Computer Science, Hardware-Software Design of Embedded Systems, Analog.
B.S. Thesis: Study and development of a smart system and an algorithm to improve human-machine interaction. Build and tested a working.
Quick answers generated from the profile data available on this page.
Francesco Fraternali works for EpiSys Science, Inc..
Francesco Fraternali is listed as Senior Research Engineer at EpiSys Science, Inc. at EpiSys Science, Inc..
AeroLeads has found 2 work email signals at @ucsd.edu for Francesco Fraternali at EpiSys Science, Inc..
Francesco Fraternali is based in San Diego, California, United States while working with EpiSys Science, Inc..
Francesco Fraternali has worked for Episys Science, Inc., University Of California, San Diego, University Of Bologna, Cineca, and General Impianti Srl.
Francesco Fraternali's colleagues at EpiSys Science, Inc. include Kenny Situ, Eileen Marsh, Jun Chang, Patrick Killingsworth, and Lee Thompson Iv.
You can use AeroLeads to view verified contact signals for Francesco Fraternali at EpiSys Science, Inc., including work email, phone, and LinkedIn data when available.
Francesco Fraternali holds Doctor Of Philosophy - Phd, Computer Science from Uc San Diego.
Francesco Fraternali is listed with skills including Signal Processing, Latex, Embedded Systems, Mathematica, Algorithms, C++, Machine Learning, and Programming.
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