Advisory Board and Editors Data Mining & Machine Learning
Andrew McCallum
Professor and Director of the Center for Data Science and also the Information Extraction and Synthesis Laboratory in the School of Computer Science at University of Massachusetts Amherst. President, International Machine Learning Society; Fellow, AAAI.
Gang Mei
Dr. Gang Mei is an Associate Professor in Scientific Computing in Engineering at China University of Geosciences (Beijing). He received his Ph.D degree in 2014 from the University of Freiburg in Germany. His main research interests are in the areas of Numerical Simulation and Computational Modeling, GPU Computing, Machine Learning, Data Mining, and Network Science and Applications. He is the IEEE Member, and has served as an Academic Editor for the journals IEEE Access, and PeerJ Computer Science.
Nageswara Rao Moparthi
Dr. M. Nageswara Rao is a Professor within the Dept. of Computer Science and Engineering, K L University, India. He has over 19 years of experience in the S/W industry and academia. Dr. M. Nageswara Rao has published over 20 articles in reputed international journals, written 2 books and filed 2 Indian patents. He is a reviewer for a number of SCI/SCIE journals, including IEEE Access and Journal of Big Data(JBD) Journal of Database Management, Cluster Computing , NHIB and Information Sciences; and Scopus journals, such as IJAIP, IJDS, CIT and IJECE. Dr. M. Nageswara Rao is also an associate TPC member for the following International conferences: ICACII-2019-Springer (India), ICCET-2020-IEEE/WOS (New Zealand), ITIoT/ICCCS 2020-Shanghai (China), JCICE-Sydney (Australia), BDET-2020-ACM Digital Library (Singapore) and ICCMA 2019-IEEE (TU Delft, Netherlands).
Dr. M. Nageswara Rao's research areas are listed below:
1.Data Mining
2. Data Analytics
3.Machine Learning
4. Software Engineering
5. Artificial Intelligence
Alejandro Moreo
Alejandro Moreo received a PhD in Computer Sciences and Information Technologies from the University of Granada in 2013. He is a tenured researcher at Istituto di Scienza e Tecnologie dell’Informazione "A. Faedo", which is part of the National Research Council (CNR). His research interests include learning to quantify, deep learning, and representation learning.
Christopher J Mungall
I am a Computer Research Scientist in the Environmental Genomics and Systems Biology division at Lawrence Berkeley Laboratory. My work focuses on computational methods for representing and interpreting complex biological data, in particular through the development and application of knowledge representation structures such as ontologies.
M Murugappan
Prof. Dr. M. Murugappan is currently a Full Professor of Electronics and Communication Engineering at Kuwait College of Science and Technology (KCST), Kuwait. In India, Malaysia, and Kuwait, he taught and conducted research for more than 15 years. Stanford University researchers ranked him in the top 2-percent of scientists worldwide in 2020, 2021, and 2022 for Experimental Psychology, Artificial Intelligence, and Cognitive Neuroscience.
He has authored 70 articles in SCI/SCOPUS journals, 58 conference proceedings, seven book chapters, and edited eight books. Google Scholar records a maximum score of 5654+ citations, along with an H index of 37 and an i10 score of 81 (Ref: Google Scholar). He has been awarded nearly $2.5M for his research by the Malaysian government and the Kuwait Foundation for the Advancement of Sciences (KFAS).
Prof. Murugappan is a member of professional international societies such as IEEE, IET, IACSIT, IAENG, IEI and a Charted Engineer (C.Eng). He has given expert talks in Affective Computing, Artificial Intelligence in Healthcare, and Affective Neuroscience. He is currently the IEEE Kuwait Section's Chair of Educational Activities. Affective Computing, Affective Neuroscience, Cognitive Neuroscience, Brain-Computer Interface, Neuromarketing, Neuroeconomics, Medical Image Processing, Machine Learning, and Artificial Intelligence are his primary interests. He has also guided 14 postgraduate students, 9 Ph.D., and 5 M.Sc.
He is currently an Editorial Board member for PLOS ONE (Q2), Human Centric Information Sciences (Q1), the Journal of Medical Imaging and Health Informatics (Q4), and the International Journal of Cognitive Informatics. He is serving as an editor in several peer-reviewed journals such as PlosOne, HCIS, JMIHI
Sushma Naithani
Sushma Naithani is an Associate Professor Senior Research in the Department of Botany and Plant Pathology at Oregon State University, USA. The current focus of her research is on understanding information flow in living systems and how evolution shapes this flow using systems-level pathway modeling supported by high-quality biocuration, gene-orthology-based predictions, and analysis of omics data. She serves as a senior curator for the Plant Reactome knowledgebase. Sushma has authored 31 peer-reviewed refereed research articles in high-impact journals, including Nature, Nature Biotech, PNAS, etc. One of her research papers has been selected by the 'Faculty of 1000 Biology'. In addition, she has authored six book chapters and one Open Textbook (S. Naithani (2021): History and Science of Cultivated Plants published by Oregon State University Open Educational Resources, EBOOK ISBN: 978-1-955101-08-0, available at https://open.oregonstate.education/cultivatedplants). She is also an Associate Editor for Frontiers in Plant Science-Plant Biotechnology and served as the Editor-in-chief of the Current Plant Biology (2017-2023).
Helder Nakaya
Prof. Helder Nakaya is Deputy Director of School of Pharmaceutical Sciences at University of São Paulo, Brazil, Associate Professor at University of São Paulo, Brazil, and Adjunct Professor of the School of Medicine, Emory University, USA. He has a PhD in Molecular Biology with extensive training in Bioinformatics. He is an expert in Systems Vaccinology, an interdisciplinary field that combines systems-wide measurements, networks, and predictive modelling in the context of vaccines and infectious disease. Dr. Nakaya has developed systems biology approaches to understand and predict the mechanisms of vaccine induced-immunity for Yellow Fever, seasonal Influenza, Meningococcal, and Tularemia vaccines. His lab is focused on investigating the basis of infectious diseases using computational systems biology.
Maria Navarro-Caceres
Dr. Maria Navarro-Caceres is an Associate Professor and Computer Scientist at the University of Salamanca.
She is interested in ML and DL proposals, and also in the application of computing technologies to artistic and musical perspectives.
Anand Nayyar
Dr. Anand Nayyar received his Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks and Swarm Intelligence. He is currently working in Graduate School, Duy Tan University, Da Nang, Vietnam. A Certified Professional with 75+ Professional certificates from CISCO, Microsoft, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Dr. Nayyar has published more than 350 Research Papers in various National & International Conferences, International Journals (Scopus/SCI/SCIE/SSCI Indexed) with a high Impact Factor. He is a member of more than 50+ Associations as Senior and Life Member and also acting as ACM Distinguished Speaker. He has authored/co-authored cum Edited 25+ Books of Computer Science. Associated with more than 500 International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has 5 Australian Patents to his credit in the area of Wireless Communications and Artificial Intelligence. He is currently working in the area of Wireless Sensor Networks, MANETS, Swarm Intelligence, Cloud Computing, Internet of Things, Blockchain, Machine Learning, Deep Learning, Cyber Security, Network Simulation, Wireless Communications. Awarded 27+ Awards for Teaching and Research—Young Scientist, Best Scientist, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching and many more. He is acting as Editor-in-Chief of IGI-Global, USA-- (IJSVST)”.
Stephen J Newhouse
Data Science Lead (yak shaver) and Senior Bioinformatician at The Department of Biostatistics and Health Informatics: SLAM NHS NIHR Biomedical Research Centre for Mental Health, Kings College London.
Kok Yew Ng
I received a BEng (Hons) in Electrical and Computer Systems Engineering and a Ph.D. in Fault Diagnosis and Control System from Monash University in 2006 and 2009, respectively. I am now a Lecturer at the School of Engineering, Ulster University, UK, and I am attached to the Nanotechnology and Integrated BioEngineering Centre (NIBEC). My research interests include fault diagnosis, vehicular systems, modelling, and data analytics for anomaly detection and classification.
In 2014–2015, I was a postdoctoral researcher at the Division of Vehicular Systems, Linköping University, Sweden, where I worked with Volvo Car Corporation (VCC) on advanced fault diagnosis schemes in vehicular engines using model-based and data-driven methods.
I am also a co-investigator in SAFEWATER, a £5 million project funded by GCRF, where I lead the development and the optimisation of embedded algorithms in the SAFEWATER project. These embedded algorithms will be used for controlling the low-cost water disinfection technologies that are being developed during the SAFEWATER project.
I am also an Adjunct Senior Research Fellow with Monash University Malaysia where I served as a Lecturer from 2009, and subsequently a Senior Lecturer till 2017.
I am a Senior Member of the IEEE.
I am the Moderator for the IEEE TechRxiv and the Associate Editor of IEEE Access.