Dr. Tanvir Shahzad is an Associate Professor at the Government College University, Faisalabad. He is an environmental scientist with a PhD in Agronomy, Ecology, Biogeochemistry from AgroParisTech.
Dr. Shahzad's research focuses on the intersections of soil biology, soil ecology, and use and assessment of nanomaterials for the benefit and sustainability of soils, more specifically, he is currently working on making Pakistan's soils sustainable.
Kaize Shi is with the Data Science and Machine Intelligence Lab, University of Technology Sydney. He has PhD degrees in computer science and computer systems, which are from the Beijing Institute of Technology, China, and the University of Technology Sydney, Australia. His research interests include natural language generation, social computing, cyber-physical-social systems, meteorological knowledge services, intelligent transportation, and artificial intelligence technology. He is the associate editor of IEEE Transactions on Computational Social Systems and academic editor of PeerJ Computer Science and Wireless Communications and Mobile Computing. He also served as a guest editor for the Information Fusion, International Journal of Distributed Sensor Networks, etc. He served as a program committee member for conferences of ACL, EMNLP, NeurIPS, SIGKDD, ICDM, etc. He is a member of the Artificial Intelligence Technical Committee of the China Meteorological Service Association.
Professor of Geography and Sustainable Development, University of Miami. Director (2001-2003), Vice-President (2003-2010), and Executive Vice-President (2010-2014), Conservation International. Associate Professor, Universidade Federal de Pernambuco. Graduate Advisor in three Brazilian Universities: Universidade Federal do Pará, Universidade Federal da Paraíba and Universidade Federal do Amapá. Past President, Brazilian Ornithological Society. Fellow of the American Ornithologist’s Union.
Dr. Anshuman Singh is a Senior Scientist (Horticulture) at ICAR- Central Institute for Subtropical Horticulture, Lucknow, India. His primary research interests include genetic improvement of tree fruits such as mango, guava and Indian blackberry (jamun) for higher fruit yield and quality, and tolerance to insect-pests, diseases and environmental stresses such as salinity.
Degree in Meteorology from University of São Paulo (1983), Master in Oceanography (Physical Oceanography) from University of São Paulo (1989) and PhD from University of Southampton, England (1994). In 1995 held postdoctoral activities in the Oceanographic Institute at USP. Experience in Physical Oceanography and Meteorology, with emphasis on numerical modelling and in situ observations of air-sea interaction (oceanic and atmospheric turbulence) and micrometeorology (Planetary boundary layer, turbulence, radiation and energy balances, turbulent fluxes). Study of the atmosphere and ocean in Equatorial and Antarctic regions.
Dr. Armando Sunny is a Researcher and Professor within the Applied Biological Sciences Research Center, Science Faculty at the Autonomous University of the State of Mexico (UAEM).
He is interested to know how certain features of the landscape affect the genetic diversity and structure of species in anthropized environments, for this he performs analysis of landscape genetics, population genetics, niche modeling, SIG, landscape connectivity and global change analysis, especially in amphibians and reptiles.
My research is focused around what promotes and maintains biodiversity at a range of spatial scales. Much of my work focuses on stream ecosystems, but my interests are question focused, not system specific. While my central interest lies in disentangling the mechanisms that structure metacommunities, I also tackle questions ranging from local to global, and from community ecology through to macroecology. I focus on a variety of basic ecological concepts and processes, including linkages between disturbance, productivity and diversity, biodiversity loss, ecosystem function, dispersal, and community assembly. I also aim to tackle applied ecological issues such as global change, land-use change, river regulation, and restoration, with the goal of applying ecological theory to effectively manage threatened ecosystems. My current research ties these issues together into the following three main themes: 1) Metacommunity ecology; 2) Global change ecology and macroecology; and 3) Restoration ecology. In light of these three themes, I am particularly focusing on the unique hierarchical and dendritic structure of river networks, and how this structure influences the biodiversity patterns of river communities.
I am a quantitative ecologist interested in ecological forecasting and the stability of populations, communities, and ecosystems. I have expertise in statistical analyses of ecological systems, population modeling, and the analysis of remote sensing data to address environmental problems.
MA and PhD in forestry at University of Turin. Assistant professor in forest management and planning at University of Milan
Oceanographer and bioacoustician facilitating the recovery of endangered regional icons of the Pacific Northwest (U.S.), particularly southern resident killer whales and Pacific salmon. I helped design and was the first major in the Earth Systems program at Stanford University, then earned a M.S. and PhD in Oceanography at the University of Washington. In 2003 I founded Beam Reach and taught ~50 undergraduates and recent graduates to ask and answer their own marine field science questions during 10-week field courses from 2005-2012. During the same period I helped create the Salish Sea Hydrophone Network -- orcasound.net -- which I continue to administer.
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).
Professor of Geography at Louisiana State University. Research interests include Geocomputation, GeoAI, Remote Sensing of water, Spectroscopic analyses, and mapping flood hazards.