Dan Fiscus Dan Fiscus is Research & Development Scientist with Berkeley Springs Instruments in Frostburg, MD. He conducts R&D for new ultrasonic sensors integrated with machine learning for applications in monitoring mechanical integrity of U.S. infrastructure. Dan has a PhD in Environmental Science and BS in Electrical Engineering. He has 25 years of experience in research and data analysis in complex environmental and technological systems including system modeling, data analytics, and artificial intelligence.