Advisory Board and Editors Statistics
Johannie M. Spaan
Dr. Johannie Spaan is a Postdoctoral Fellow at the College of Osteopathic Medicine of the Pacific Northwest (Western University of Health Sciences). Her research interests focus on stress physiology, disease ecology, eco-immunology and parasitology.
More specifically, Dr. Spaan's research within the Steinauer lab is focused on a neglected tropical disease, Schistosomiasis, a helminth infection that affects over 200 million people. Research carried out within the lab focuses on uncovering potential mechanisms that can be manipulated to break the life cycle of this pathogen in order to reduce or eliminate schistosome transmission to humans.
In addition to this, Dr. Spaan is also involved in a project investigating the effect of schistosome infections in a mouse model system and the links among parasite infection, behavioral and cognitive changes, microbiome alteration, and systemic inflammation.
Željko Stević
Dr. Željko Stević is Associate Professor at University of East Sarajevo, Faculty of Transport and Traffic Engineering Doboj. He received PhD in Transport and Traffic Engineering from University of Novi Sad, Faculty of Technical Sciences 2018.
Also, he is Chief Research Fellow at Vilnius Gediminas Technical University, Lithuania.
Also, he is Adjunct professor at College of Engineering, Korea University, Seoul, Korea
Dr. Stević's research interests include, logistics; supply chain management; transport; traffic engineering; soft computing; multi-criteria decision making problems; rough set theory; sustainability; fuzzy set theory; neutrosophic set theory and circular economy.
He has published over 250 papers from the area of his interest. ResearchGate (H42), Google Scholar (H44). (SCOPUS) – H35, (WoS) – H28. He is also Editor in chief of the 3 journals, and member of Program Committee 40, in addition to a number of journals and conferences.
Dr. Stević is also a co-author of the new methods in field of operations research and decision-making, and the World's Top 2% Scientist for 2020, 2021, 2022 (Released by Stanford University).
HIs awards include: Jan 2018: Medal merit for the people in the field of education and science. Nov 2017: The best young researcher of the 3rd cycle (Doctoral) studies, September 2019 Award: Top Peer Reviewer in the Global Peer Review Awards 2019 (Publons). The researcher I category for 2018, 2019, 2020 and 2021 years (Ministry of Scientific and Technological Development, Higher Education and Information Society of the Republic of Srpska)
Gavin B Stewart
Gavin is interested in applied research synthesis (combining scientific information to inform policy). Primary interests are meta-analysis and Bayesian belief networks. He has a deep mislike of P values much preferring effect sizes and confidence intervals, or better still probabilities of direct relevance to decision-making. Gavin's work on meta-analysis spans applied agriculture, food, rural development, ecology and medicine reflecting a belief in generic methods for Evidence Based X (EBX).
I am an elected member of the Society for Research Synthesis Methods and associate editor of its journal, Research Synthesis Methods. I am also associate editor for PeerJ and statistical editor for the Cochrane Pain and Palliative Care Group. I’m a member of the National Centre for Ecological Analysis and Synthesis Meta-analysis Working Group and co-author of the Handbook of Meta-analysis in ecology and evolution. I am also co-chair and editor of a new Campbell Collaboration Food Security group.
Aslı Suner
Dr. Aslı Suner Karakülah currently works at Ege University, School of Medicine, Department of Biostatistics and Medical Informatics in Turkey as an associate professor. She obtained BSc (2005), MSc (2007) and PhD (2013) degrees from Dokuz Eylül University, Science Faculty, Statistics Department in Turkey. Between March 2011 and February 2012, she joined Professor Klaus-Peter Adlassnig’s research group as a visiting PhD student at Medical University of Vienna, Center for Medical Statistics, Informatics, and Intelligent Systems, Section for Medical Expert and Knowledge-Based Systems, Vienna, Austria. Her main research interests include: biostatistics, bioinformatics, medical informatics and applied statistics – particularly the analysis of problems in decision theory, multicriteria decision making, clinical decision support systems, and data mining.
Lucy J Troup
Dr. Lucy J. Troup is a chartered psychologist (CPsychol) in the Strategic Hub for Psychology, Social Work, Health Behaviours and Addictions at the University of the West of Scotland. She is also holds an Affiliate Faculty appointment at Colorado State University, Colorado, USA. Her research focus is centered round Emotion Processing using Event Related Potentials to better understand the endogenous and exogenous variables that influence emotional expression recognition. Currently the main emphasis in the Troup lab is to understand how Cannabis effects emotion processing.
Dr. Troup received her Undergraduate degree in Psychology form the University of Plymouth in the UK. Her graduate work, translational M.Sc. in Intelligent Systems and Ph.D in Computational and Cognitive Neuroscience were also awarded from the University of Plymouth under the direction of Prof. Mike Denham, Professor Emeritus Center for Theoretical and Computational Neuroscience.
Sara Varela
I am working on Pleistocene mammal extinctions. Co-developer of R packages to download data from open access databases (rAvis and paleobioDB), and team member of www.ecoClimate.org, an open access repository to access climatic data for the past, present and future.
Claudio Vasapollo
I am a marine biologist working as a fishery and benthic researcher at the Institute for Marine Resources and Biotechnologies (IRBIM) of the National Researche Council (CNR) in Ancona, Italy. I held my PhD in 2010 at the The Open University (Milton Keynes, UK) working at the Stazione Zoologica A. Dohrn of Naples (Italy) where I conducted a study on the spatial and temporal distribution of macro benthic assemblages associated to Posidonia oceanica seagrass and on several features of the plant itself. I got a Master degree in 2005 at the Polytechnic University of Marche after the Bachelor's degree in Marine Biology at the same university in 2004. I participated in several surveys at sea in the last years as well as to several diving expeditions in the Indian Ocean and Mediterranean Sea.
Shravan Vasishth
Professor of Psycholinguistics at the Department of Linguistics, University of Potsdam, Germany. Specialization in computational models of sentence comprehension; sentence processing in aphasia; working memory and language comprehension; Bayesian statistics.
Chaman Verma
Dr. Chaman Verma is an Assistant Professor at the Department of Media and Educational Informatics, Faculty of Informatics, Eötvös Loránd University. He is also the project leader and chief researcher of his project sponsored by National Research, Development and Innovation (NRDI) Hungary. He also won a young educator scholarship for novel research sponsored by the EKÖP, NRDI Fund, and the Hungarian Government.
He pursued a post-doctorate at the Faculty of Informatics, Eötvös Loránd University, Budapest, Hungary, sponsored by UNKP, MIT (Ministry of Innovation and Technology), the National Research, Development and Innovation (NRDI) Fund, and the Hungarian Government. He received a Ph.D. in informatics from the Doctoral School of Informatics, Eötvös Loránd University, Budapest, Hungary, with the Stipendium Hungaricum Scholarship funded by the Tempus Public Foundation, Government of Hungary. During his Ph.D., he won the EFOP Scholarship, co-founded by the European Union Social Fund and the Government of Hungary, as a professional research assistant in a real-time system from 2018 to 2021. He also received the Stipendium Hungaricum Dissertation Scholarship of Tempus Public Foundation, Government of Hungary, from 2021 to 2022.
He has been awarded several Erasmus Scholarships for conducting international research and academic collaboration with European and non-European universities. He received the best scientific publication award from the Faculty of Informatics, Eötvös Loránd University, Budapest, Hungary, In the years 2021-2024. He has also been awarded the ÚNKP scholarship for research by the Ministry of Innovation and Technology and the National Research, Development and Innovation (NRDIO) Fund, Government of Hungary, 2021-2023.
He has around ten years of experience in teaching and industry. He has over 150 scientific publications in the IEEE, Elsevier, Springer, IOP Science, Walter de Gruyter and MDPI. His research interests include data analytics, feature engineering, real-time systems, and educational informatics. He is a life member of ISTE, New Delhi, India. He is a member of the editorial board and a reviewer of various international journals and scientific conferences. He was the leading guest editor of the special issue Advancement in Machine Learning and Applications in Mathematics, IF- 2.25, MDPI, Basel, Switzerland, in 2022. He was also a guest editor in two Springer journals. He is a co-editor in the series of conference proceedings of ICRIC-2021-24 published by Springer, Singapore. He reviews many scientific journals, including IEEE, Springer, Elsevier, Wiley, and MDPI. He has Scopus citations of 1603 with an H-index of 24. He has Web of Science citations of 355 with an H-index of 13.
Chris Wallace
I am a statistician who works with biological and genomic datasets to understand the mechanisms underlying human disease and identify possible treatments. My main focus is on autoimmune diseases.
Shibiao Wan
Dr. Shibiao Wan is currently an Assistant Professor in the Department of Genetics, Cell Biology and Anatomy, and the Co-Director for the Bioinformatics and Systems Biology (BISB) PhD Program at University of Nebraska Medical Center (UNMC). He is also an Assistant Professor (courtesy) in the Department of Biostatistics at UNMC.
With more than 14 years of experience in machine learning, bioinformatics, and computational biology, Dr. Wan has published >50 articles in top-tiered journals such as Genome Research, Nature Communications, Science Advances, Circulation Research, Briefings in Bioinformatics, and Bioinformatics. Dr. Wan is the Editor-in-Chief for Current Proteomics, and an Editorial Board Member for a series of prestigious journals such as Briefings in Functional Genomics, Heliyon, BMC Bioinformatics, International Journal of Microbiology, PeerJ Computer Science, BioMed Research International, and Computational and Mathematical Methods, and a guest associate editor for multiple high-impact journals including Frontiers in Immunology, Frontiers in Cell and Developmental Biology, Frontiers in Pharmacology, Biology, Frontiers in Genetics, and Genes.
Dr Wan is a TPC member for >20 machine learning related international conferences including IEEE ICTAI. Dr. Wan is also a reviewer for >70 prestigious journals including Nature Biotechnology, Nature Methods, Nature Communications, Nature Computational Science, Science Advances, Nucleic Acids Research, Advanced Science, Cancer Research, Genome Biology, and Genome Medicine. Dr. Wan has received a number of accolades including the Springer Nature Editor of Distinction Award in 2025 by Springer Nature, the New Investigator Award in 2024 by UNMC, the FIRST Award in 2023 by Nebraska EPSCoR, the Outstanding Young Alumni Award in 2022 by HK PolyU as well as the Global Peer Review Awards (top 1%) in “Cross-Field” and “Biology and Biochemistry” in 2019 by Clarivate. Dr. Wan is a member of AACR, ISCB and ACM and an IEEE Senior Member.
Qiang Wang
Qiang Wang received a Ph.D in Environmental Science from the Chinese Academy of Science in 2009, was an Associate Professor (2010) at the Qingdao Institute Of Bioenergy & Bioprocess Technology, Chinese Academy Of Sciences, and a Professor (2011-16) at Xinjiang Ecology And Geography Institute, Chinese Academy Of Sciences, and then moved to China University of Petroleum (2016-2022). His research focuses on energy-environment-health issues through multidisciplinary research methods
Through clever use of time series statistical models (e.g., joint regression models, variable intercept models, variable coefficient models), high-precision combined forecasting models (e.g. gray forecasting and neural network models combined forecasting models), multilateral input-output models, decomposition models (e.g. index decomposition method, structural decomposition method), Dr. Wang has published more than 180 peer-reviewed papers (corresponding author) in high profile English journals.
These papers have been cited over 8,800 (Google Scholar)/ 7,100(Scopus)/ 6,200 (WoS) times by October 2022. 19 papers are selected as global ESI 0.1% Hot Papers, and 36 papers are selected as global ESI 1% Highly Cited Papers that perform in the top 1%. Dr. Wang’s h index is 53 (Google Scholar)/ 49(Scopus)/ 46 (WoS).