Abhijin Adiga is a research assistant professor in the Network Systems Science and Advanced Computing division. His interests are in network science, algorithms, combinatorics and game theory with a current focus on dynamical processes over networks, and design and implementation of complex simulation systems. From October 2011 to May 2014, he was a postdoctoral associate at Network Dynamics and Simulation Science Laboratory, Biocomplexity Institute of Virginia Tech. He received his PhD on dimensional parameters of graphs and posets from the Department of Computer Science and Automation at the Indian Institute of Science in 2011. Adiga published a paper in AAAI'13, which received the "Honorable Mention for Outstanding Novelty of Research Question" award. He also leads a USAID funded project on modeling invasive species.
Algorithms and graph theory, diffusion in complex networks, network science, game theory and geometric representation of graphs
Indian Institute of Science, Computer Science and Automation, Ph.D., 2011
Indian Institute of Science, Electrical Engineering, MSc (Engg), 2003
Bangalore University, Telecommunication Engineering, BE, 2000
Research Associate, Department of Computer Science and Automation, Indian Institute of Science
In this article from The Niche, Abhijin Adiga, a research assistant professor at UVA's Biocomplexity Institute, discusses tracking crop threats like the Tuta absoluta pest.
Researchers at the University of Virginia Biocomplexity Institute are founding partners of a national research institute that will develop artificial intelligence-driven solutions for some of agriculture’s biggest problems: labor, water, weather, and climate change.
With increasing globalization, trade, and human movement, the rate of alien species introduction has increased all around the globe. This paper predicts the distribution of invasive species under conditions of climate change and is important for identifying susceptible areas of invasion and developing strategies for limiting their expansion.
Traffic planners, securities traders and military strategists all use it. Simulating the behavior of millions of idiosyncratic individuals also may be the best way to understand complex phenomena like pandemics.
Agricultural trade is crucial in delivering food to consumers worldwide. The benefits range from lower prices to greater variety in our food supply, and most importantly, the ability to reduce food insecurity across the globe. But, as international trade increases, so does the spread of invasive and destructive agricultural pests that can threaten food production and even destabilize our global food supply.
As international trade and human mobility increase, so does the spread of invasive and destructive agricultural pests, worsened by climate change and the intensive agricultural practices occurring globally. As part of a project funded by the U.S. Department of Agriculture (USDA), researchers from the University of Virginia’s Biocomplexity Institute are focusing their attention on one pest in particular – the South American tomato leafminer or Tuta absoluta.
Modern food systems facilitate rapid dispersal of pests and pathogens through multiple pathways. The complexity of spread dynamics and data inadequacy make it challenging to model the phenomenon and also to prepare for emerging invasions.