Stefano Colafranceschi image
Education
  • PostDoc in High-Energy Physics Melbourne (FL), United States Florida Institute of Technology, Dept. of Physics & Space Sciences (2015)
  • Technical Training in Firmware Development Geneva, Switzerland CERN, European Organization for Nuclear Research (2012)
  • Ph.D. Industrial Engineering Rome, Italy University of Rome - ”La Sapienza”, Engineering Department (2011)
  • Postgraduate Master in Advanced Nuclear Detectors Geneva, Switzerland CERN, European Organization for Nuclear Research (2010)
  • Technical Training in Detector Integration Geneva, Switzerland CERN, European Organization for Nuclear Research (2008)
  • M.Sc. in Astronautical Engineering Rome, Italy University of Rome - ”La Sapienza”, Astronautics department (2008) 
  • B.Sc. in Aerospace Engineering Rome, Italy University of Rome - ”La Sapienza”, Astronautics department (2005)
Experience

With over two decades of professional experience, I blend expertise in industrial engineering, data science, and applied physics to deliver innovative solutions across academia, international research institutions, and industry. Throughout my career, I have consistently delivered transformative solutions at the intersection of theoretical knowledge and practical application, leading international teams and driving technological innovation across multiple disciplines.

Associate Professor, Eastern Mennonite University, 2018-2024, Harrisonburg, VA
Leading computer engineering education and cutting-edge research initiatives. I teach comprehensive courses spanning microarchitecture, digital circuits, VHDL (FPGA Intel Academy), cybersecurity (CISCO/Juniper), and big data analytics. My research portfolio includes pioneering work in high-resistive graphene-based plastics for additive manufacturing, firmware development for differential equation frameworks, high-altitude balloon and CubeSat space activities, and small-scale nuclear fusor reactors.

Associate Data Scientist & Team Leader, CERN, 2018-Present, Remote/Geneva, Switzerland
Architecting and implementing central Oracle databases for large-scale technological production and management systems. I develop data analysis tools incorporating machine learning and statistical frameworks, creating processing and visualization packages using ROOT, C++, and web-based front-ends to support the world's largest particle physics experiments.

Associate Applied Physicist, INFN, 2019-Present, Remote/Frascati, Italy
Serving as lead software developer for SCADA and DAQ systems within the GGM Data Acquisition System for the CMS Experiment. I oversee the GGM Muon Subsystem and provide detector technology expertise, ensuring optimal performance of critical experimental infrastructure.

Senior Fellow & Project Manager, CERN, 2007-2015, Geneva, Switzerland
Coordinated international research and development of Micro Pattern Gas Detectors (MPGD), leading a multinational team across 15 countries with a $5M budget. I managed the complete engineering lifecycle from design to validation of imaging detector technologies based on Resistive Plate Counters (RPCs). Notable achievements include serving as Operation Manager during LHC collision runs, coordinating safety protocols as Group Leader In Matters Of Safety (GLIMOS), and designing a large-scale tomography station. I developed neural network-based pattern recognition tools and performed complex finite element analyses while mentoring PhD students through CERN's Challenge Based Innovation program.

Senior Researcher & Production Manager, Florida Institute of Technology, 2015-2018, Melbourne, FL
Spearheaded engineering, manufacturing, and qualification testing of advanced technologies, instrumenting production assembly lines with cutting-edge precision equipment. I established clean room operations (class 10) for micro-electronics manufacturing, developed quality control methodologies including X-ray non-destructive testing, and created industrial validation protocols.

Research Interests

Professor Colafranceschi's research interests span the convergence of advanced materials science, space technology, nuclear engineering applications and physics. This interdisciplinary approach allows him to tackle complex challenges at the intersection of several domain technologies that translate fundamental research into real-world applications.

Courses Taught
  • Computer related and Applied Engineering

Back to Top