Advisory Board and Editors Data Mining & Machine Learning

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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
Sohath Vanegas,
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Siddhartha Bhattacharyya

Dr. Siddhartha Bhattacharyya is currently serving as a Professor in the Department of Computer Science and Engineering of Christ University, Bangalore. He is a co-author of 5 books and the co-editor of 60 books and has more than 300 research publications in international journals and conference proceedings to his credit. He has got two PCTs to his credit. He has been a member of the organizing and technical program committees of several national and international conferences.

His research interests include hybrid intelligence, pattern recognition, multimedia data processing, social networks and quantum computing.

Adaptive & Self-Organizing Systems Artificial Intelligence Brain-Computer Interface Computer Education Computer Vision Data Mining & Machine Learning Data Science Human-Computer Interaction Optimization Theory & Computation Quantum Computing Social Computing

Paolo Boldi

I graduated at the Computer Science Department (DI) of the University of Milano.
Presently I am an associate professor at the Computer Science Department of the University of Milano. My current research interests are: Distributed systems, anonymity, Sense of direction, Models of computation over the reals, Concurrency theory, Applied graph theory, Web crawling and indexing, Web graphs

Algorithms & Analysis of Algorithms Data Mining & Machine Learning Social Computing Theory & Formal Methods World Wide Web & Web Science

Tossapon Boongoen

Dr Tossapon Boongoen obtained his PhD in Computer Science from Cranfield University, UK (in 2003), and his 2-year PostDoc in Aberystwyth University, UK (2007-08). His research interest includes AI, machine/deep learning, image analysis and pattern recognition, fuzzy systems and security. He serves as an Associate Editor for several international journals like IEEE Access.

Algorithms & Analysis of Algorithms Artificial Intelligence Bioinformatics Computational Biology Computational Linguistics Computer Education Computer Vision Data Mining & Machine Learning Data Science Emerging Technologies Security & Privacy

Glen M Borchert

Dr. Glen Borchert holds joint appointments as an Assistant Professor in Biology and Pharmacology at the University of South Alabama. He originally received a B.S. in Biology from the University of Tennessee then completed a Ph.D. in Genetics from the University of Iowa. Dr. Borchert’s research focuses largely on identifying novel genetic regulators and defining their roles in oncogenesis, microbiology and speciation. Since starting his laboratory at South Alabama in August 2012, Dr. Borchert has published dozens of papers in peer reviewed journals and had numerous grant applications funded including a highly prestigious NSF CAREER award (2014-2019).

Bioinformatics Computational Biology Data Mining & Machine Learning Genetics Genomics Infectious Diseases Medical Genetics Microbiology Molecular Biology Oncology Pharmacology Science & Medical Education

Barry W Brook

Barry Brook, a conservation biologist and modeller, is an ARC Australian Laureate Professor and Chair of Environmental Sustainability at the University of Tasmania. Leader of the Dynamics of Eco-evolutionary Patterns (DEEP) research group and the UTAS node of CABAH, Barry is a highly cited scientist, having published three books, over 350 refereed papers, and many popular articles. His awards include the 2006 Australian Academy of Science Fenner Medal, the 2010 Community Science Educator of the Year and 2013 Scopus Researcher of the Year. He focuses on global change biology, ecological dynamics, paleoenvironments, energy systems, and statistical-simulation models.

Biodiversity Climate Change Biology Conservation Biology Data Mining & Machine Learning Ecology Paleontology

Andrea Brunello

I am an Assistant Professor (tenure-track) at the Department of Humanities and Cultural Heritage (DIUM) of the University of Udine. In addition, I am part of the Data Science and Automatic Verification Laboratory, at the Department of Mathematics, Computer Science and Physics (DMIF) at the same University. As a figure straddling the two departments, I am part of the board of directors of the AI4CH Initiative, and I am interested in both practical aspects of Artificial Intelligence and philosophical issues. I am and have been a core member of several national and international projects with both institutional and corporate partners, such as u-blox, SAL Silicon Austria Labs, GAP srlu, and beanTech.

Artificial Intelligence Data Mining & Machine Learning Databases Mobile & Ubiquitous Computing Neural Networks

Alberto Cano

Alberto Cano is an Associate Professor with the Department of Computer Science, Virginia Commonwealth University, Richmond, Virginia, United States, where he heads the High-Performance Data Mining laboratory. His research is focused on machine learning, data mining, big data, evolutionary computation, general-purpose computing on graphics processing units, and distributed computing.

Artificial Intelligence Data Mining & Machine Learning Distributed & Parallel Computing

Marco Cavalli

Marco Cavalli obtained the PhD in Environmental Watershed Management in 2009 at the TeSAF (University of Padova) with a thesis on "Hydrological and morphological characterization of mountain basins by means of airborne LiDAR technology”. Since 2009 Marco Cavalli is Researcher at CNR-IRPI of Padova. His research interests include: Geomorphometry, Airborne Laser Scanning technology (LiDAR) and high-resolution DTMs applications, Geomorphic processes in mountain catchments, Post Flash flood investigation, analysis of historical information, GIS and surface hydrology. Currently, his main interest is related to sediment connectivity assessment through geomorphometric approaches.

He is\was scientific responsible or coordinator of CNR IRPI in several National and European projects (SedAlp, GESTO, Gadria Project, KINOFLOW). Since 2011 he is teaching a course for PhD and post doc researchers entitled 'Geomorphometry: quantitative analysis of earth surface' at the University of Padova. He is\was supervisor of three research grants at CNR IRPI, co-advisor of two PhD and several B.S. and M.S. theses of the University of Padova, Udine, Wageningen, Stockholm on geomorphology and hydrology fields. He is author and co-author of more than 50 papers in international journals.

Data Mining & Machine Learning Environmental Impacts Natural Resource Management Soil Science Spatial & Geographic Information Science Spatial & Geographic Information Systems

Tianfeng Chai

Tianfeng Chai is an Associate Research Scientist at CICS-MD and the Department of Atmospheric & Oceanic Science, University of Maryland, College Park, Maryland, USA. He got his master and bachelor degrees from Tsinghua University in Beijing, majoring in Fluid Mechanics, Engineering Mechanics, and Environmental Engineering. He earned his Ph.D. at the University of Iowa, with his dissertation of "Four-Dimensional Variational Data Assimilation Using Lidar Data" focusing on atmospheric boundary flow. He then worked with Dr. Greg Carmichael to develop chemical transport model adjoints and computational framework for data assimilation applications before moving to working on the NOAA National Air Quality Forecast Capability (NAQFC) project in 2007. He currently works on the inverse modeling problems using HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory Model) to support several projects at NOAA Air Resources Laboratory.

Algorithms & Analysis of Algorithms Atmospheric Chemistry Computational Science Data Mining & Machine Learning Data Science Environmental Impacts Environmental Sciences Spatial & Geographic Information Science Spatial & Geographic Information Systems Statistics

Jyotismita Chaki

Jyotismita Chaki, PhD. is an Associate Professor in School of Computer Science and Engineering at Vellore Institute of Technology (VIT University), Vellore, India. She has done her PhD (Engg) from Jadavpur University, Kolkata, India. Her research interests include: Computer Vision and Image Processing, Pattern Recognition, Medical Imaging, Soft computing, Artificial Intelligence and Machine learning. She has authored and edited many international conferences, journal papers and books. Currently she is the editor of Engineering Applications of Artificial Intelligence Journal, Elsevier, academic editor of PLOS ONE journal and associate editor of Array journal, Elsevier, IET Image Processing and Machine Learning with Applications journal, Elsevier.

Artificial Intelligence Computer Vision Data Mining & Machine Learning Data Science

Prasenjit Chatterjee

Dr. Prasenjit Chatterjee is currently a Professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKV Institute of Engineering, West Bengal, India. He has over 4700 citations and 120 research papers in various international journals and peer reviewed conferences. He has authored and edited more than 25 books on intelligent decision-making, fuzzy computing, supply chain management, optimization techniques, risk management and sustainability modelling.

Computational Science Data Mining & Machine Learning Data Science Natural Resource Management Scientific Computing & Simulation

Hao Chen

Dr. Chen's group uses behavioral genetics methods to study addiction related traits. The main behavioral models are intravenous nicotine self-administration and oral oxycodone self-administration in rats. Another area of focus is the identification of genomic variants in inbred strains of rats. A third area of research is the design of open source instruments and software for measuring rat behavior.

Animal Behavior Bioinformatics Data Mining & Machine Learning Genetics Genomics Neuroscience