IEEE Computational Intelligence Magazine - May 2021 - 10

especially in biomedical domains. He has
published more than 350 research papers,
1 monograph and more than 15 patents.
By Google Scholar, his publications have
been cited by more than 10,000 times
with H-Index 53. He has been recognized
for profound contributions to the area of
novel patterns mining (especially on utility
pattern mining) by not only creating
numerous research lines but also innovating valuable applications, especially in biomedical fields covering biomarker
discovery, disease detection and early prediction of health risks, with practical applications to various kinds of diseases. His
pioneering works on utility pattern mining at both algorithmic and system levels
also triggered emerging applications in
wide areas covering life science, engineering, finance, education, manufacturing, etc.
Dr. Tseng has been on the editorial
board of a number of journals including
IEEE Transactions on Knowledge and Data
Engineering, IEEE Journal of Biomedical
and Health Informatics, ACM Transactions

on Knowledge Discovery from Data, etc. He
has also served as the Steering Committee Chair for the community of PacificAsia Knowledge Discovery and Data
Mining (PAKDD) since 2020. He is an
ACM Distinguished Scientist (2019) and
has been honored by numerous awards,
including the Outstanding I.T. Elite
Award (2018), FutureTech Breakthrough
Award (2018), K. T. Li Breakthrough
Award (2014) and Outstanding Research
Award (2015 & 2019) by Ministry of
Science and Technology Taiwan.
Ganesh Kumar Venayagamoorthy
Clemson University, USA
for contributions to the application of artificial
intelligence to power systems.
Ganesh Kumar Venayagamoorthy is the
Duke Energy Distinguished Professor of
Power Engineering
and Professor of Electrical and Computer

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IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE | MAY 2021

Engineering at Clemson University. Dr.
Venayagamoorthy is the Founder and
Director of the Real-Time Power and
Intelligent Systems Laboratory. He
holds an Honorary Professor position in
the School of Engineering at the University of Kwazulu-Natal, South Africa.
Dr. Venayagamoorthy received his Ph.D.
and MScEng degrees in Electrical
Engineering from the University of
Natal, Durban, South Africa. He received his BEng (Honors) degree with
a First Class from Abubakar Tafawa
Balewa University, Bauchi, Nigeria. He
holds a MBA degree in Entrepreneurship and Innovation from Clemson
University, SC.
Dr.Venayagamoorthy's interests are in
the research, development and innovation of smart grid technologies and
operations, including artificial intelligence and intelligent systems. He has
published over 500 refereed technical
articles which have received ~20,000
citations with a h-index of 65. He has
given over 500 invited keynotes, plenaries, presentations, tutorials and lectures
in over 40 countries to date.
Dr. Venayagamoorthy is the founding
chair of the IEEE CIS Task Force on
Power Systems and Smart Grid. He is
the founding (2011) and current Chair
of the IEEE CIS Symposium on Computational Intelligence Applications in
Smart Grid (CIASG) and the IEEE PES
Working Group on Intelligent Control
Systems. He is the Series Editor for the
IEEE Press on Power and Energy Systems. Dr. Venayagamoorthy was the
Technical Program co-Chair and Program Chair of the 2003 and 2009 International Joint Conference on Neural
Networks (IJCNN), respectively. He is
the General Chair of the IEEE Technical
co-sponsored Clemson University Power
System Conference (PSC) since 2013.
Dr. Venayagamoorthy has served on the
Board of Governors of the International
Neural Network Society (INNS) for
two consecutive terms, between 2009
and 2014.
Dr. Venayagamoorthy is a Senior Member of INNS and also a Fellow of the IET
(UK) and the SAIEE (South Africa).

IEEE Computational Intelligence Magazine - May 2021

Table of Contents for the Digital Edition of IEEE Computational Intelligence Magazine - May 2021