TIM Associate Editor-in-Chief | IEEE Instrumentation & Measurement Society

Incumbent(s)

Current

Date Range:

2021 - 2025

Personnel:

Mohamed Abou-Khousa

Khalifa University of Science & Technology

United Arab Emirates

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Mohamed Abou-Khousa

Biography

Dr. Mohamed (IEEE SM’10) has had core and advanced formal education in electrical engineering focusing on applied electromagnetics and statistical signal processing. Over the years, Dr. Mohamed has devised principles of waves scattering, absorption, reflection and interaction with material structure reconciled with circuit theory to see the “unseen”. Based on these principles, he has developed several innovative inspection devices and imaging systems.

He has been actively involved in various multidisciplinary research and development projects sponsored by industry and government agencies. These projects yielded state-of-the are sensing systems and technologies to a wide range of industries including aerospace, biomedical, and Oil & Gas.

His areas of expertise include hazardous environment instrumentation, intrinsic safety systems, material characterization, nondestructive testing, smart sensors, and adaptive signal processing. He has co-authored numerous technical publications in his areas of expertise, and has to his credit many patents.

Affiliation(s)

Khalifa University of Science & Technology

United Arab Emirates

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Current

Personnel:

Amitava Chatterjee

Jadavpur University

India

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Amitava Chatterjee

Biography

Amitava Chatterjee received the Bachelor of Electrical Engineering, Master of Electrical Engineering., and Ph.D. (Engineering) degrees from Jadavpur University, Kolkata, India, in 1991, 1994 and 2002, respectively. He joined the faculty of the Department of Electrical Engineering, Jadavpur University in 1997 where he is currently serving as a Professor. He is a recipient of the Japanese Government (Monbukagakusho) Scholarship in 2003 and a recipient of the Japan Society for the Promotion of Science (JSPS) Post-Doctoral Fellowship in 2004. In 2004 and in 2009 he visited University of Paris XII, Val de Marne, France and in 2017 he visited Université Paris-Est, France as an Invited Teacher. Dr. Chatterjee's key research interests include intelligent instrumentation, systems and control, signal processing, image processing and robotics.

Dr. Chatterjee has authored/coauthored more than 140 papers published in international journals or in proceedings of peer reviewed international conferences. He has co-authored two books and co-edited two books. He presently serves as an Associate Editor of IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal and Editor of IEEE Transactions on Vehicular Technology and Engineering Applications of Artificial Intelligence Journal (Elsevier).

Dr. Chatterjee is a Fellow of Indian National Academy of Engineering, a Fellow of the IETE (India), a Fellow of the Institution of Engineers (India), and a Senior Member of the IEEE (USA).

Affiliation(s)

Jadavpur University

India

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Current

Personnel:

Lorenzo Ciani

University of Florence

Italy

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Lorenzo Ciani

Biography

Lorenzo Ciani (S’08–M’10-SM'16) received the M.S. degree in electronic engineering and the Ph.D. degree in Industrial and Reliability Engineering from the University of Florence, Italy, in 2005 and 2009, respectively. From June, 2012 he is a TÜV Rheinland – Functional Safety Engineer – ID 5062/12.

He is currently an Associate Professor with the Department of Information Engineering, University of Florence (Italy).

He has authored or coauthored more than 170 peer-reviewed journal articles and conference. papers. His current research interests include system reliability, availability, maintainability and safety, reliability evaluation test and analysis for electronic systems and devices, fault detection and diagnosis, and electrical and electronic instrumentation and measurement.

Prof. Ciani is a member of the IEEE IMS TC-32 Fault Tolerant Measurement Systems and an Associate Editor of IEEE ACCESS and the IEEE TRANSACTION ON INSTRUMENTATION AND MEASUREMENT. He received the 2015 IEEE I&M Outstanding Young Engineer Award for his contribution to the advancement of instrumentation and measurement in the fields of reliability analysis.

Affiliation(s)

University of Florence

Italy

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Current

Date Range:

2020 - 2021

Personnel:

Daniele Fontanelli

University of Trento

Italy

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Daniele Fontanelli

Biography

Daniele Fontanelli (M’09) received the M.S. degree in Information Engineering in 2001, and the Ph.D. degree in Automation, Robotics and Bioengineering in 2006, both from the University of Pisa, Pisa, Italy. He was a Visiting Scientist with the Vision Lab of the University of California at Los Angeles, Los Angeles, US, from 2006 to 2007. From 2007 to 2008, he has been an Associate Researcher with the Interdepartmental Research Center ``E. Piaggio'', University of Pisa. From 2008 to 2013 he joined as an Associate Researcher the Department of Information Engineering and Computer Science and from 2014 the Department of Industrial Engineering, both at the University of Trento, Trento, Italy, where he is currently an Assistant Professor. He has authored and co-authored more than 100 scientific papers in peer-reviewed top journals and conference proceedings. His research interests include human localisation algorithms, synchrophasor estimation, clock synchronisation algorithms, real-time estimation and control, resource aware control, wheeled mobile robots control and service robotics.

Affiliation(s)

University of Trento

Italy

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Current

Personnel:

Fabricio Guimaraes Baptista

Universidade Estadual Paulista Júlio

Brazil

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Fabricio Guimaraes Baptista

Biography

Fabricio Guimarães Baptista received B.S. and Ph.D. degrees in electrical engineering from São Paulo State University (UNESP), Brazil, in 2006 and 2010, respectively. From 2010 to 2011, he was a Visiting Scholar at the Center for Intelligent Material Systems and Structures (CIMSS), Virginia Tech, Blacksburg, VA, USA, performing research in the field of structural health monitoring and piezoelectric transducers. He is currently an Assistant Professor in the Department of Electrical Engineering, UNESP, Bauru-SP, Brazil, where he coordinates the Laboratory of Transducers and Data Acquisition, working in the field of piezoelectricity, structural health monitoring, signal processing, data acquisition, and electronic instrumentation.

Affiliation(s)

Universidade Estadual Paulista Júlio

Brazil

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Current

Personnel:

Datong Liu

Harbin Institute of Technology

China

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Datong Liu

Biography

Datong Liu (M’11-SM’16) is currently a Full Professor with the School of Electronics and Information Engineering, Harbin Institute of Technology (HIT), Harbin, China. He received his B.Sc., M.Sc. and Ph.D degrees in Instrumentation Science and Technology from Harbin Institute of Technology (HIT) in 2003, 2005 and 2010, respectively. During May 2013 to June 2014, he was a visiting scholar in the System and Industrial Engineering (SIE) Department, University of Arizona (UofA), Tucson, AZ, USA. He served as the TPC Chair of 2017 Prognostics and System Health Management Conference (PHM 2017 – Harbin) and TPC co-chair for a series of prognostics and health management (PHM) related conferences. His research interests include automatic test and condition monitoring, unmanned systems, sensor fusion, data-driven diagnostics and prognostics, industrial big data, lithium-ion battery management, etc.

Affiliation(s)

Harbin Institute of Technology

China

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Current

Personnel:

Zhigang Liu

Southwest Jiaotong University

China

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Zhigang Liu

Biography

Dr. Zhigang Liu (IET Fellow, IEEE/CSEE/CIE Senior Member) received his doctorate in Electrical Engineering from Southwest Jiaotong University in 2003. He became a full professor in 2006, and was a visiting scholar of UIC and TUD in 2009-2010, 2017, respectively. His research interests include power quality detection, artificial intelligence, time and frequency signal analysis, image processing, fault detection, state assessment and their applications, special in rail transit. He received the New Century Excellent Talents in University Award from the Ministry of Education in China, in 2008.

Affiliation(s)

Southwest Jiaotong University

China

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Current

Personnel:

Anirban Mukherjee

Indian Institute of Technology, Kharagpur

India

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Anirban Mukherjee

Biography

Dr. Anirban Mukherjee completed his undergraduate studies in Electrical Engineering from Jadavpur University, Kolkata in 1998. He did his post-graduate and doctoral studies in the area of Image Processing at Indian Institute of Technology Kharagpur. He accepted the offer of Tata Consultancy Services and worked in the Embedded Systems Group during 2004-2005 in Kolkata, India. He is in the faculty of the Department of Electrical Engineering, Indian Institute of Technology Kharagpur from 2005. He is the coordinator of Signal Processing and Machine Learning research group of the Department of Electrical Engineering at Indian Institute of Technology Kharagpur. Dr. Mukherjee is a DAAD fellow and a BOYSCAST fellow. The broad research areas of Dr. Mukherjee are medical signal processing and machine learning.

For details, one may visit :

http://www.facweb.iitkgp.ac.in/~manirban/f_anirban.html

http://www.facweb.iitkgp.ac.in/~manirban/SPML.html

Affiliation(s)

Indian Institute of Technology, Kharagpur

India

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Current

Date Range:

2021 - 2025

Personnel:

Emanuele Zappa

Politecnico di Milano

Italy

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Emanuele Zappa

Biography

Emanuele Zappa (M’10, SM’21) received the Ph.D. degree in applied mechanics from Politecnico di Milano, Italy, in 2002. In 2001, he joined the Department of Mechanical Engineering, as a Researcher, where he is currently a full professor in Mechanical and Thermal Measurements with the School of Industrial and Information Engineering.

His research interests are mainly in the field of measurements, with a focus on vision-based techniques: digital image correlation, 3-D structured light scanning, and stereoscopy. Contributes to these research topics cover: the measuring techniques development, the corresponding applications in complex and hostile environments, as well as the qualification and reduction of the measuring uncertainty in dynamic applications. The 3D vision-based systems developed and qualified are applied also in a wide variety of other research themes, including structure dynamics analysis, helicopter blades tracking, face-based biometrics, fluid-structure interaction, 3D scanning and material characterization.

Affiliation(s)

Politecnico di Milano

Italy

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