Carlos Urdaneta

<p class="MsoNormal"><strong><span lang="EN-US" style="font-family: 'Arial',sans-serif; mso-ansi-language: EN-US;">Carlos Urdaneta</span></strong><span lang="EN-US" style="font-family: 'Arial',sans-serif; mso-ansi-language: EN-US;"> received his Masters degree in Electrical Engineering from Rice University. He has worked for SLB in new product development since 2011. He is a Ph.D. candidate at the department of Electrical and Computer Engineering, University of Houston. His current research focuses on integrating AI models into drilling workflows, emphasizing predictive maintenance, dynamic forecasting, and telemetry signal improvement.</span></p>
<p class="MsoNormal"><strong><span lang="EN-US" style="font-family: 'Arial',sans-serif; mso-ansi-language: EN-US;">Aamir Bader Shah</span></strong><span lang="EN-US" style="font-family: 'Arial',sans-serif; mso-ansi-language: EN-US;"> received his BS. degree in Electrical Engineering at the NUST University and a Masters degree in Embedded System and Controls from the University of Leicester. He is currently a Ph.D. candidate at the department of Electrical and Computer Engineering at the University of Houston. His current research focuses on predicting remaining useful life in downhole drilling equipment.</span></p>
<p class="MsoNormal"><strong><span lang="EN-US" style="font-family: 'Arial',sans-serif; mso-ansi-language: EN-US;">Xuqing Wu </span></strong><span lang="EN-US" style="font-family: 'Arial',sans-serif; mso-ansi-language: EN-US;">received the Ph.D. degree in Computer Science from the University of Houston. He is currently an Associate Professor of Computer Information Systems with the College of Technology, University of Houston. Prior to joining the University of Houston in 2015, he was a Data Scientist and Software Engineer of the Energy and IT industry. His research interests include scientific machine learning, probabilistic modeling, and subsurface sensing.</span></p>
<p class="MsoNormal"><strong><span lang="EN-US" style="font-family: 'Arial',sans-serif; mso-ansi-language: EN-US;">Xin Fu</span></strong><span lang="EN-US" style="font-family: 'Arial',sans-serif; mso-ansi-language: EN-US;"> received the Ph.D. degree in computer engineering from the University of Florida, Gainesville, in 2009. She is currently a Professor with the Electrical and Computer Engineering Department, University of Houston, Houston, TX, USA. Her research interests include computer architecture, high-performance computing, hardware reliability and variability, energy-efficient computing, and mobile computing.</span></p>
<p class="MsoNormal"><strong><span lang="EN-US" style="font-family: 'Arial',sans-serif; mso-ansi-language: EN-US;">Jiefu Chen</span></strong><span lang="EN-US" style="font-family: 'Arial',sans-serif; mso-ansi-language: EN-US;"> is an Associate Professor with the Department of Electrical and Computer Engineering, University of Houston. He received the Ph.D. degree in Electrical Engineering from Duke University. From 2011 to 2015, he was a Staff Scientist with Weatherford. He has published over 100 papers in computational electromagnetics, inverse problems, machine learning, oilfield data analytics, seismic data processing, subsurface wireless communication, and well logging.</span></p>