Advisory Board and Editors Data Mining & Machine Learning
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.
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.
Ho Leung Ng
Principal Scientist, Atomwise. Adjunct associate professor of biochemistry and biophysics at Kansas State University. Research in computational/AI and structure-based drug design, biophotonics, machine learning for chemistry and drug discovery, protein crystallography.
Kok Yew Ng
I received the BEng (Hons) in Electrical and Computer Systems Engineering and the Ph.D. in Fault Diagnosis and Control Systems from Monash University in 2006 and 2009, respectively. I am currently a Reader in Mechatronics Engineering and Control at the School of Engineering, Ulster University, UK, and I am attached to the Engineering Research Institute.
My research interests include fault diagnosis, mathematical modelling, digital twin, 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. For this research, I was instrumental in developing a Digital Twin/Simulation Testbed on the MATLAB/Simulink platform for realistic simulation and testing of residuals generation and fault diagnosis methods. This research work was published in the IEEE Control Systems Magazine and the Digital Twin/Simulation Testbed can be downloaded via the main hosting site or its mirror at Linköping University.
Throughout my career, I have secured more than £6.5 million in research grants from various funders such as the Engineering and Physical Sciences Research Council (EPSRC), UK Research and Innovation (UKRI), Global Challenges Research Fund (GCRF), and the Northern Ireland Department for the Economy in the UK; the Fundamental Research Grant Scheme (FRGS), Exploratory Research Grant Scheme (ERGS), and EScienceFund from the Ministry of Higher Education in Malaysia; and industries such as Volvo Car Corporation in Gothenburg, Sweden.
Overall, I have successfully supervised no less than 2 postdoctorals, 8 PhD, and 3 Master’s by Research candidates.
I am also currently attached to the Digital Catapult as an awardee of the EPSRC Innovation Launchpad Network+ (ILN+) Researcher in Residence Scheme. This research project aims to develop an energy mapping Digital Twin technology that contributes towards net zero in wind turbine energy. This technology encompasses the entire energy lifecycle, from mining through storage to utilisation in Northern Ireland (NI). This project also involves collaboration with the Offshore Renewable Energy Catapult.
Other highlights include being a co-investigator in SAFEWATER, a £5 million project funded by UKRI-GCRF, where I led the development and the optimisation of embedded algorithms to control low-cost water disinfection technologies used in the rural areas in South America.
In addition, during the COVID-19 pandemic, I led the Modelling and Forecast Task Force at Ulster where we worked with the Southern Health and Social Care Trust to provide analysis to the Government Specialist Modelling Response Expert Group (SMREG) in Northern Ireland. The main purpose of the project was to validate and inform the SMREG as well as help governing bodies in Northern Ireland to better plan for intervention measures and ultimately flatten the curve. I was also a member of the COVID-19 Task Force set up by the IEEE Region 8 community. In addition, I led a team of researchers and data scientists from Ulster and Queen’s University Belfast to work with the Incident Controller for the State Health Incident Control Centre and Deputy Chief Health Officer of the Department of Health in Western Australia to model the outbreak of COVID-19 on commercial cargo vessels.
I am a Senior Member of the IEEE and I am currently the Vice-Chair of the IEEE Control Systems Society (CSS), UK and Ireland Chapter.
I am the Moderator for the IEEE TechRxiv, the Associate Editor for IEEE Access, Editor for PeerJ Computer Science, and Section Editor for Sage Science Progress.
I am also an Adjunct Senior Research Fellow with Monash University Malaysia where I served as a Lecturer from 2009, and subsequently as Senior Lecturer till 2017.
Anh Nguyen
Dr. Anh Nguyen-Duc is a Professor at the Department of Business and IT, University of South Eastern Norway. He works as Professor 2 at Norwegian University of Science and Technology. His research interests include Empirical Software Engineering, Data Mining, Software Startups Research and Cybersecurity.
Binh P. Nguyen
Senior Lecturer in Data Science at the School of Mathematics and Statistics in Victoria University of Wellington (New Zealand). Former Scientist at the Institute of High Performance Computing, A*STAR (Singapore). Former Research Fellow at Duke-NUS Medical School and National University of Singapore (Singapore).
Tuan V. Nguyen
Dr. Nguyen is Distinguished Professor of Predictive Medicine at the School of Biomedical Engineering, University of Technology Sydney (Australia). He also holds joint appointments as Professor, St Vincent's Clinical School, University of New South Wales (UNSW Sydney); and adjunct Professor of Epidemiology and Biostatistics at the School of Medicine, University of Notre Dame Australia.
Duc D Nguyen
Dr. Duc Nguyen is an Assistant Professor in the Department of Mathematics at the University of Kentucky. His research interests lie at the interface of data science, mathematical biology, and scientific computing. He has developed several popular online servers for drug design communities such as FRI, RI-Score, DG-GL, and AGL-Score. By integrating mathematics and deep learning, Dr. Nguyen won the most number of contests in the past three D3R Grand Challenges, an annual worldwide competition series in computer-aided drug design. That success has stimulated his partnerships with Bristol-Myers Squibb for developing quantitative systems pharmacological models and with Pfizer for drug de novo hit identification.
Hoang Nguyen
Dr. Hoang Nguyen is a Lecturer (Computational biologist, data scientist, and computer scientist) within the School of Innovation, Design, and Technology at the Wellington Institute of Technology in New Zealand.
His research interests include Applied Data Science, Machine Learning, Deep Learning, Computer-aided Drug Design, Bioinformatics, and Health informatics.
Feiping Nie
Feiping Nie's research interests are machine learning and its application. He has published more than 100 papers in the following journals and conferences: TPAMI, IJCV, TIP, TNNLS/TNN, TKDE, TKDD, TVCG, TCSVT, TMM, TSMCB/TC, Machine Learning, Pattern Recognition, Medical Image Analysis, Bioinformatics, ICML, NIPS, KDD, IJCAI, AAAI, ICCV, CVPR, SIGIR, ACM MM, ICDE, ECML/PKDD, ICDM, MICCAI, IPMI, RECOMB. According to Google scholar, his papers have been cited more than 2000 times.