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K. Ramakrishna Kini (kr.kini@manipal.edu) is an Assistant
Professor in the Department of Instrumentation and Control
Engineering, Manipal Institute of Technology, Manipal Academy
of Higher Education, Manipal 576104, India. His research
interests are in data-driven fault detection and diagnosis,
soft sensors, and machine learning methods. He received the
M.Tech. degree in control systems and Ph.D. degree in advanced
control system from Manipal Institute of Technology,
India.
Fouzi Harrou (fouzi.harrou@kaust.edu.sa) (SM'22) is a Research
Scientist in the Computer, Electrical and Mathematical
Sciences and Engineering Division of the King Abdullah University
of Science and Technology in Thuwal, Saudi Arabia.
His research interests are in statistical anomaly detection
and process monitoring with a particular emphasis on datadriven,
machine learning/deep learning methods. Dr. Harrou
received an M.Sc. degree in telecommunications and networking
from the University of Paris VI in 2006 and the Ph.D. degree
in systems optimization and security in 2010 from the University
Technology of Troyes (UTT), France.
Muddu Madakyaru (muddu.m@manipal.edu) is a Professor
with the Department of Chemical Engineering, Manipal Institute
of Technology, Manipal Academy of Higher Education,
Manipal 576104, India. His research interests are in advanced
process control, including system identification, fault detection
and diagnosis, and machine learning methods. He
received the M.Tech. degree from the NITK, India and the
Ph.D. degree in process control from the IIT Bombay, Mumbai,
India. He was a Post-Doctoral Researcher with Texas A&M
University, Doha, Qatar.
Farid Kadri (farid.kadri@ymail.com) is with Aeroline DATA
& CET, Sopra Steria Group, in Colomiers, France. His current
research interests include statistical decision theory and
its applications, machine learning, predictive modeling, fault
detection and monitoring, big data, and decision support systems.
He received an M.Sc. degree in systems optimization and
security from the University of Technology of Troyes, France
in 2009 and the Ph.D. degree in automation and computer
engineering from the University of Valenciennes and HainautCambresis,
France in 2014.
Ying Sun (ying.sun@kaust.edu.sa) is an Associate Professor in
the Computer, Electrical and Mathematical Sciences and Engineering
Division of the King Abdullah University of Science
and Technology in Thuwal, Saudi Arabia (KAUST), where
she leads a multidisciplinary research group on environmental
statistics, dedicated to developing statistical models and
methods for space-time data to solve important environmental
problems. She joined KAUST in June 2014 after one-year service
as an Assistant Professor in the Department of Statistics at
The Ohio State University, Columbus, Ohio, USA.
June 2023
IEEE Instrumentation & Measurement Magazine
43
http://www.wheelchairfoundation.org/fth/analysis-of-wheelchair-need/ http://www.wheelchairfoundation.org/fth/analysis-of-wheelchair-need/
Instrumentation & Measurement Magazine 26-4

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