Advisory Board and Editors Data Mining & Machine Learning
Lexing Xie
Lexing Xie is Professor in the Research School of Computer Science at the Australian National University. She leads the ANU Computational Media lab (http://cm.cecs.anu.edu.au/). Her current research interests are in machine learning on graphs and time series, especially on understanding individual and aggregate behaviour in online social networks, at the intersection of media, language and behaviour. She was research staff member at IBM T J Watson Research Center 2005-2010. She is Associate editor for ACM TOIS, ACM TiiS and PeerJ CS.
Ying Xu
Ying Xu received B.Eng, M.Eng, and PH.D. degrees from Harbin Institute of Technology, China, in 2003, 2005, and 2009, respectively. From 2009-2017, he had been a Senior Engineer in the North China Grid Dispatching and Control Center. He is a research scholar in the Department of Electrical and Computer Engineering, University of Central Florida, USA. His main research interests and experiences include power system analysis and control, system modeling and simulation, cooperative control, distributed control and optimization for networked systems.
Jianchao Yang
Research scientist at Adobe Research. Ph.D. from University of Illinois at Urbana-Champaign. Focuses on computer vision, deep learning, and image processing.
Jiachen Yang
Prof. Dr. Jiachen Yang is an Associate Editor for “Journal of Ambient Intelligence and Humanized Computing”, “Alexandria Engineering Journal”, “IEEE Access”, “IET Image Processing”, “Sensors”, etc. Currently, he is a Professor at the School of Electronical and Information Engineering, Tianjin University. From 2014 to 2015, he was a visiting scholar with the Department of Computer Science, School of Science, Loughborough University, U.K. In 2019, He was a visiting scholar with Embry-Riddle Aeronautical University. His recent research interests include image processing, artificial intelligence, and information security. He has published more than 150 technical articles in highly ranked journals, such as IEEE Transactions on Neural Network and Learning System, IEEE Transactions on Cybernetics, IEEE Transactions on Industrial Informatics, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, etc. His Google Scholar H-index is 28.
Rendong Yang
Dr. Yang is an assistant professor and section leader for cancer genomics at the Hormel Institute. Dr. Yang obtained his PhD in the China Agricultural University, where his work involved the topic of microarray data analysis. Briefly he developed two statistical models, called ARSER and LSPR, to detect periodically expressed transcripts from evenly or unevenly sampled temporal microarray gene expression profiles respectively. By applying these algorithms to Arabidopsis and rice transcriptome, a list of novel clock-controlled genes that regulating plant circadian rhythm were identified. Dr. Yang finished his postdoctoral training at Emory University, where his research switched to cancer genomics and epigenomics. Working with researchers in Winship Cancer Institute, he developed a bioinformatics pipeline to analyze the whole genome mate-pair and pair-end sequencing and RNA-seq data from three tumor cells in multiple myeloma, which leads to discovering a novel SPI-ZNF287 t(11;17) translocation. After postdoctoral training, Dr. Yang joined Supercomputing Institute at University of Minnesota as a Bioinformatics Analyst working on both clinical genomics and prostate cancer research to define and characterize AR gene rearrangements from DNA-seq data, and also to interrogate genome-wide binding profiles of AR and AR variants in prostate cancer cells and tissues.
Zheng Yuan
Dr. Zheng Yuan is a Lecturer in Artificial Intelligence (Natural Language Processing) at Kings College London.
Dr. Yuan holds a PhD and an MPhil from the University of Cambridge, and a BSc in Engineering from Queen Mary University of London and Beijing University of Posts and Telecommunications. Before joining King’s, Zheng was a Research Associate at the University of Cambridge, where she is still a Visiting Researcher.
Her research interests include, Educational NLP, Language acquisition, Multilingual NLP, Machine translation, Neural networks and deep learning, Transfer and multi-task learning, Unsupervised and semi-supervised learning, and Explainable machine learning.
Massimiliano Zanin
Principal Researcher at Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC), Palma de Mallorca, Spain.
My interest is mainly focus on the application of modelling tools (and especially complex networks theory and data mining) to a wide range of problems, from the air transport to the interactions within cells.
Eftim Zdravevski
Head of the Institute for Intelligent Systems and an Associate Professor at the Faculty of Computer Science and Engineering of the Saints Cyril and Methodius University in Skopje, Macedonia.
His research interests are in FinTech, Big Data, ML, cloud computing, time series analysis, etc.
Founder and CEO of MAGIX.AI - a company specialized in applied AI for predictive maintenance, FinTech, AdTech, and E-commerce. Participated in and led many national and international research projects related to ML in various domains.
Published over 150 papers in peer-reviewed international conferences and top-ranked journals, of which over 100 are indexed in Web of Science.
Li Zhang
Li Zhang received her Ph.D. degree from the University of Birmingham. She is currently a Reader in Royal Holloway, University of London. She has expertise in machine learning, deep learning, computer vision and evolutionary computation. She is a Senior Member of IEEE.
Yu-Dong Zhang
From 2010 to 2012, Dr. Yudong (Eugene) Zhang worked at Columbia University as a postdoc. From 2012 to 2013, he worked as an assistant research scientist at Columbia University and New York State Psychiatric Institute. From 2013 to 2017, he is a full professor and doctoral advisor at School of Computer Science and Technology at Nanjing Normal University. He also serves as the academic leader of the“Jiangsu key laboratory of 3D printing equipment and manufacturing”. At present, he is a Professor in Knowledge Discovery and Machine Learning, in Department of Informatics, University of Leicester, United Kingdom. His research interests focus on computer-aided medical diagnosis and biomedical image processing.
Jiayan Zhou
Jiayan Zhou is a Senior Computational Bioinformatician at Palo Alto Veterans Institute for Research (PAVIR). He was a postdoctoral scholar at Stanford University School of Medicine, specializing in Cardiovascular Medicine, Population Genetics, and Molecular Biology. He is a computational geneticist with a special interest in advancing statistical methodologies and software frameworks tailored for integrating multi-omics data, aimed at elucidating novel therapeutic avenues for various human diseases. He also actively explores the intersection of AI and healthcare, leveraging AI models to address intricate challenges in healthcare delivery and patient outcomes.
Arkaitz Zubiaga
I'm a senior lecturer (associate professor) at Queen Mary University of London. My research revolves around Social Data Science, interdisciplinary research bridging NLP and Computational Social Science. I'm particularly interested in linking online data with events in the real world, among others for tackling problematic issues on the Web and social media that can have a damaging effect on individuals or society at large, such as hate speech, misinformation and inequality.