Our ADMT Laboratory is presenting at IEEE MDM 2022 & ALIAS 2022 the works:
– “Efficient Detection of COVID-19 Exposure Risk“, Brian T. Nixon (University of Pittsburgh, USA), Rakan Alseghayer (University of Pittsburgh, USA), Benjamin Graybill (University of Pittsburgh, USA), Xiaozhong Zhang (University of Pittsburgh, USA), Constantinos Costa (University of Pittsburgh, USA), and Panos K. Chrysanthis (University of Pittsburgh, USA)
– CovidLens: Visually Understanding the Covid-19 Indicators Through the Lens of Mobility Data, Mohamed Sharaf (United Arab Emirates University, UAE), Xiaozhong Zhang (University of Pittsburgh, USA), Panos Chrysanthis (University of Pittsburgh, USA), Wadima Alsaedi (United Arab Emirates University, UAE), Maitha Alkalbani (United Arab Emirates University, UAE), Heba Helal (United Arab Emirates University, UAE), and Alyazia Aldhaheri (United Arab Emirates University, UAE)
– “ASTRO-K: Finding Top-k Sufficiently Distinct Indoor-Outdoor Paths”, Vasilis Ethan Sarris (University of Pittsburgh), Constantinos Costa (University of Pittsburgh), Panos K. Chrysanthis (University of Pittsburgh)
– “Thinking Inclusively with CAPRIO”, Lucas W. Leiby (University of Pittsburgh), Constantinos Costa (University of Pittsburgh), Panos K. Chrysanthis (University of Pittsburgh)